ANPR-CLOUD - User contributions [en]

Main Page

2026-04-20T09:35:11Z

Admin: /* 3.7 Advanced AI detectors and notifications */

= ANPR-Cloud Platform =
[[File:ANPCloud_info.png|800px|thumb|center|Infographic]]
<center><youtube>DPsS78bonwM</youtube></center> 

'''ANPR-Cloud''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that ingests vehicle detection data from connected cameras and transforms it into actionable intelligence.

The platform enables security teams, control rooms, and investigators to monitor vehicle activity in real-time, analyse movement patterns, and respond to vehicles of interest across multiple locations.

ANPR-Cloud provides centralized visibility of detections, analytics, and alerting capabilities in a secure cloud environment.

== 1. Overview ==

ANPR-Cloud is designed to bridge the gap between raw camera detections and operational intelligence.

Core capabilities include:

* Real-time vehicle detection monitoring
* Centralized multi-site visibility
* Vehicle movement analytics and pattern detection
* Image capture and evidence storage
* Hotlist and alerting capabilities
* Integration into intelligence platforms such as SecureMIND

The platform supports multiple plate formats and integrates directly with LPR/ANPR cameras.

== 2. How ANPR-Cloud Works ==

ANPR systems use cameras to detect and extract license plate data from vehicles.

ANPR-Cloud extends this by providing cloud-based ingestion, storage, analytics, and visualization.

=== System Flow ===

{{#mermaid:
flowchart LR
CAM["LPR Cameras"] --> API["ANPR-Cloud API Endpoint"]
API --> INGEST["Ingestion Layer"]
INGEST --> DB["(Cloud Database)"]
DB --> ANALYTICS["Analytics Engine"]
ANALYTICS --> ALERTS["Alerts / Hotlists"]
ANALYTICS --> UI["Dashboard / UI"]
DB --> UI
}}

=== Process Steps ===

# Cameras detect vehicle plates
# Detection is sent via HTTP POST/API/FTP/Custom
# ANPR-Cloud stores images and metadata
# Data is analysed for patterns and matches
# Alerts are triggered for flagged vehicles
# Users access insights via dashboard

== 3. Core Features ==

=== 3.1 Real-Time Monitoring ===
* Live vehicle detections across all connected cameras
* Immediate visibility into site activity
* Rapid response to vehicles of interest

=== 3.2 Vehicle Analytics ===
* Movement tracking between locations
* Repeat sightings and visit patterns
* Behavioural analysis across sites

=== 3.3 Centralised Visibility ===
* Single dashboard for all sites
* Multi-camera and multi-location support
* Unified search and filtering

=== 3.4 Evidence Management ===
* Secure storage of images and metadata
* Timestamped detection records
* Audit and investigation support

=== 3.5 Camera Mapping ===
* GPS-based camera positioning
* Site-level and lane-level visibility

=== 3.6 Integration Capability ===
* Integration with SecureMIND intelligence platform
* API-based integration for third-party systems

=== 3.7 Advanced AI detectors and notifications ===
* '''Commuter Detection''' - Regular daily patterns - Auto-whitelisting frequent visitors
* '''Speed Detection''' - Vehicle travel speed - Identifying fast-moving vehicles
* '''Unusual Time Detection''' - Activity at unusual hours - After-hours security monitoring
* '''Scout Detection''' - Multi-camera movement - Detecting surveillance/casing behavior
* '''New Vehicle Detection''' - Previously unseen vehicles - Identifying unfamiliar vehicles
* '''Frequency Detection''' - Sudden visit increases - Detecting escalating activity
* '''Behavioral Pattern Analysis''' - Extended multi-hour presence - Identifying stakeouts/loitering
* '''Hotlist Alerts''' - Manually flagged vehicles - Known threats and BOLO alerts
* '''Third Party Detection''' - External database matches - Cross-platform intelligence

== 4. Architecture Overview ==

{{#mermaid:
flowchart TD
subgraph FIELD
CAM1["Camera 1"]
CAM2["Camera 2"]
CAM3["Camera N"]
end

subgraph CLOUD
API["API Layer"]
QUEUE["Processing Queue"]
DB["(Database)"]
AI["Analytics Engine"]
end

subgraph USER
DASH[Dashboard]
ALERT[Alerts]
SEARCH["Search Interface"]
end

CAM1 --> API
CAM2 --> API
CAM3 --> API

API --> QUEUE
QUEUE --> DB
DB --> AI

AI --> DASH
AI --> ALERT
DB --> SEARCH
}}

== 5. Use Cases ==

ANPR-Cloud is used across multiple environments:

=== Security & Control Rooms ===
* Monitor incoming and outgoing vehicles
* Detect suspicious or flagged vehicles
* Improve response times

=== Community Safety Networks ===
* Share vehicle intelligence
* Track suspect vehicles across regions

=== Corporate & Industrial Sites ===
* Perimeter monitoring
* Access control augmentation
* Incident investigation

=== Law Enforcement Support ===
* Vehicle tracking and evidence collection
* Pattern analysis and investigations

== 6. Key Benefits ==

* '''Real-time intelligence''' – immediate visibility into vehicle activity
* '''Centralised operations''' – single platform for all sites
* '''Scalable cloud architecture''' – no on-site infrastructure required
* '''Data-driven insights''' – actionable analytics instead of raw data
* '''Faster response times''' – detect and act quickly

== 7. Supported Manufacturers ==

ANPR-Cloud supports integration with various LPR/ANPR camera manufacturers.

→ See: [[Supported Manufacturers]]

== 8. Integration with SecureMIND ==

ANPR-Cloud can feed detections into SecureMIND to enable:

* Cross-domain intelligence correlation
* OSINT enrichment
* Threat scoring and prioritisation
* Investigation workflows

== 9. Example Data Flow ==

{{#mermaid:
sequenceDiagram
participant Camera
participant ANPRCloud
participant Analyst

Camera->>ANPRCloud: Send detection (plate + image)
ANPRCloud->>ANPRCloud: Store & analyse
ANPRCloud->>Analyst: Trigger alert (if flagged)
Analyst->>ANPRCloud: Query history
}}

== 10. Summary ==

ANPR-Cloud transforms raw vehicle detections into structured, searchable, and actionable intelligence.

It enables organisations to move from passive monitoring to proactive, intelligence-driven operations.

== 11. External Links ==

* Official Website: https://www.anprcloud.co.za

Main Page

2026-04-20T09:34:28Z

Admin: /* 3. Core Features */

= ANPR-Cloud Platform =
[[File:ANPCloud_info.png|800px|thumb|center|Infographic]]
<center><youtube>DPsS78bonwM</youtube></center> 

'''ANPR-Cloud''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that ingests vehicle detection data from connected cameras and transforms it into actionable intelligence.

The platform enables security teams, control rooms, and investigators to monitor vehicle activity in real-time, analyse movement patterns, and respond to vehicles of interest across multiple locations.

ANPR-Cloud provides centralized visibility of detections, analytics, and alerting capabilities in a secure cloud environment.

== 1. Overview ==

ANPR-Cloud is designed to bridge the gap between raw camera detections and operational intelligence.

Core capabilities include:

* Real-time vehicle detection monitoring
* Centralized multi-site visibility
* Vehicle movement analytics and pattern detection
* Image capture and evidence storage
* Hotlist and alerting capabilities
* Integration into intelligence platforms such as SecureMIND

The platform supports multiple plate formats and integrates directly with LPR/ANPR cameras.

== 2. How ANPR-Cloud Works ==

ANPR systems use cameras to detect and extract license plate data from vehicles.

ANPR-Cloud extends this by providing cloud-based ingestion, storage, analytics, and visualization.

=== System Flow ===

{{#mermaid:
flowchart LR
CAM["LPR Cameras"] --> API["ANPR-Cloud API Endpoint"]
API --> INGEST["Ingestion Layer"]
INGEST --> DB["(Cloud Database)"]
DB --> ANALYTICS["Analytics Engine"]
ANALYTICS --> ALERTS["Alerts / Hotlists"]
ANALYTICS --> UI["Dashboard / UI"]
DB --> UI
}}

=== Process Steps ===

# Cameras detect vehicle plates
# Detection is sent via HTTP POST/API/FTP/Custom
# ANPR-Cloud stores images and metadata
# Data is analysed for patterns and matches
# Alerts are triggered for flagged vehicles
# Users access insights via dashboard

== 3. Core Features ==

=== 3.1 Real-Time Monitoring ===
* Live vehicle detections across all connected cameras
* Immediate visibility into site activity
* Rapid response to vehicles of interest

=== 3.2 Vehicle Analytics ===
* Movement tracking between locations
* Repeat sightings and visit patterns
* Behavioural analysis across sites

=== 3.3 Centralised Visibility ===
* Single dashboard for all sites
* Multi-camera and multi-location support
* Unified search and filtering

=== 3.4 Evidence Management ===
* Secure storage of images and metadata
* Timestamped detection records
* Audit and investigation support

=== 3.5 Camera Mapping ===
* GPS-based camera positioning
* Site-level and lane-level visibility

=== 3.6 Integration Capability ===
* Integration with SecureMIND intelligence platform
* API-based integration for third-party systems

=== 3.7 Advanced AI detectors and notifications ===
* Commuter Detection - Regular daily patterns - Auto-whitelisting frequent visitors
* Speed Detection - Vehicle travel speed - Identifying fast-moving vehicles
* Unusual Time Detection - Activity at unusual hours - After-hours security monitoring
* Scout Detection - Multi-camera movement - Detecting surveillance/casing behavior
* New Vehicle Detection - Previously unseen vehicles - Identifying unfamiliar vehicles
* Frequency Detection - Sudden visit increases - Detecting escalating activity
* Behavioral Pattern Analysis - Extended multi-hour presence - Identifying stakeouts/loitering
* Hotlist Alerts - Manually flagged vehicles - Known threats and BOLO alerts
* Third Party Detection - External database matches - Cross-platform intelligence

== 4. Architecture Overview ==

{{#mermaid:
flowchart TD
subgraph FIELD
CAM1["Camera 1"]
CAM2["Camera 2"]
CAM3["Camera N"]
end

subgraph CLOUD
API["API Layer"]
QUEUE["Processing Queue"]
DB["(Database)"]
AI["Analytics Engine"]
end

subgraph USER
DASH[Dashboard]
ALERT[Alerts]
SEARCH["Search Interface"]
end

CAM1 --> API
CAM2 --> API
CAM3 --> API

API --> QUEUE
QUEUE --> DB
DB --> AI

AI --> DASH
AI --> ALERT
DB --> SEARCH
}}

== 5. Use Cases ==

ANPR-Cloud is used across multiple environments:

=== Security & Control Rooms ===
* Monitor incoming and outgoing vehicles
* Detect suspicious or flagged vehicles
* Improve response times

=== Community Safety Networks ===
* Share vehicle intelligence
* Track suspect vehicles across regions

=== Corporate & Industrial Sites ===
* Perimeter monitoring
* Access control augmentation
* Incident investigation

=== Law Enforcement Support ===
* Vehicle tracking and evidence collection
* Pattern analysis and investigations

== 6. Key Benefits ==

* '''Real-time intelligence''' – immediate visibility into vehicle activity
* '''Centralised operations''' – single platform for all sites
* '''Scalable cloud architecture''' – no on-site infrastructure required
* '''Data-driven insights''' – actionable analytics instead of raw data
* '''Faster response times''' – detect and act quickly

== 7. Supported Manufacturers ==

ANPR-Cloud supports integration with various LPR/ANPR camera manufacturers.

→ See: [[Supported Manufacturers]]

== 8. Integration with SecureMIND ==

ANPR-Cloud can feed detections into SecureMIND to enable:

* Cross-domain intelligence correlation
* OSINT enrichment
* Threat scoring and prioritisation
* Investigation workflows

== 9. Example Data Flow ==

{{#mermaid:
sequenceDiagram
participant Camera
participant ANPRCloud
participant Analyst

Camera->>ANPRCloud: Send detection (plate + image)
ANPRCloud->>ANPRCloud: Store & analyse
ANPRCloud->>Analyst: Trigger alert (if flagged)
Analyst->>ANPRCloud: Query history
}}

== 10. Summary ==

ANPR-Cloud transforms raw vehicle detections into structured, searchable, and actionable intelligence.

It enables organisations to move from passive monitoring to proactive, intelligence-driven operations.

== 11. External Links ==

* Official Website: https://www.anprcloud.co.za

Main Page

2026-04-20T08:03:49Z

Admin: /* Process Steps */

= ANPR-Cloud Platform =
[[File:ANPCloud_info.png|800px|thumb|center|Infographic]]
<center><youtube>DPsS78bonwM</youtube></center> 

'''ANPR-Cloud''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that ingests vehicle detection data from connected cameras and transforms it into actionable intelligence.

The platform enables security teams, control rooms, and investigators to monitor vehicle activity in real-time, analyse movement patterns, and respond to vehicles of interest across multiple locations.

ANPR-Cloud provides centralized visibility of detections, analytics, and alerting capabilities in a secure cloud environment.

== 1. Overview ==

ANPR-Cloud is designed to bridge the gap between raw camera detections and operational intelligence.

Core capabilities include:

* Real-time vehicle detection monitoring
* Centralized multi-site visibility
* Vehicle movement analytics and pattern detection
* Image capture and evidence storage
* Hotlist and alerting capabilities
* Integration into intelligence platforms such as SecureMIND

The platform supports multiple plate formats and integrates directly with LPR/ANPR cameras.

== 2. How ANPR-Cloud Works ==

ANPR systems use cameras to detect and extract license plate data from vehicles.

ANPR-Cloud extends this by providing cloud-based ingestion, storage, analytics, and visualization.

=== System Flow ===

{{#mermaid:
flowchart LR
CAM["LPR Cameras"] --> API["ANPR-Cloud API Endpoint"]
API --> INGEST["Ingestion Layer"]
INGEST --> DB["(Cloud Database)"]
DB --> ANALYTICS["Analytics Engine"]
ANALYTICS --> ALERTS["Alerts / Hotlists"]
ANALYTICS --> UI["Dashboard / UI"]
DB --> UI
}}

=== Process Steps ===

# Cameras detect vehicle plates
# Detection is sent via HTTP POST/API/FTP/Custom
# ANPR-Cloud stores images and metadata
# Data is analysed for patterns and matches
# Alerts are triggered for flagged vehicles
# Users access insights via dashboard

== 3. Core Features ==

=== 3.1 Real-Time Monitoring ===
* Live vehicle detections across all connected cameras
* Immediate visibility into site activity
* Rapid response to vehicles of interest

=== 3.2 Vehicle Analytics ===
* Movement tracking between locations
* Repeat sightings and visit patterns
* Behavioural analysis across sites

=== 3.3 Centralised Visibility ===
* Single dashboard for all sites
* Multi-camera and multi-location support
* Unified search and filtering

=== 3.4 Evidence Management ===
* Secure storage of images and metadata
* Timestamped detection records
* Audit and investigation support

=== 3.5 Camera Mapping ===
* GPS-based camera positioning
* Site-level and lane-level visibility

=== 3.6 Integration Capability ===
* Integration with SecureMIND intelligence platform
* API-based integration for third-party systems

== 4. Architecture Overview ==

{{#mermaid:
flowchart TD
subgraph FIELD
CAM1["Camera 1"]
CAM2["Camera 2"]
CAM3["Camera N"]
end

subgraph CLOUD
API["API Layer"]
QUEUE["Processing Queue"]
DB["(Database)"]
AI["Analytics Engine"]
end

subgraph USER
DASH[Dashboard]
ALERT[Alerts]
SEARCH["Search Interface"]
end

CAM1 --> API
CAM2 --> API
CAM3 --> API

API --> QUEUE
QUEUE --> DB
DB --> AI

AI --> DASH
AI --> ALERT
DB --> SEARCH
}}

== 5. Use Cases ==

ANPR-Cloud is used across multiple environments:

=== Security & Control Rooms ===
* Monitor incoming and outgoing vehicles
* Detect suspicious or flagged vehicles
* Improve response times

=== Community Safety Networks ===
* Share vehicle intelligence
* Track suspect vehicles across regions

=== Corporate & Industrial Sites ===
* Perimeter monitoring
* Access control augmentation
* Incident investigation

=== Law Enforcement Support ===
* Vehicle tracking and evidence collection
* Pattern analysis and investigations

== 6. Key Benefits ==

* '''Real-time intelligence''' – immediate visibility into vehicle activity
* '''Centralised operations''' – single platform for all sites
* '''Scalable cloud architecture''' – no on-site infrastructure required
* '''Data-driven insights''' – actionable analytics instead of raw data
* '''Faster response times''' – detect and act quickly

== 7. Supported Manufacturers ==

ANPR-Cloud supports integration with various LPR/ANPR camera manufacturers.

→ See: [[Supported Manufacturers]]

== 8. Integration with SecureMIND ==

ANPR-Cloud can feed detections into SecureMIND to enable:

* Cross-domain intelligence correlation
* OSINT enrichment
* Threat scoring and prioritisation
* Investigation workflows

== 9. Example Data Flow ==

{{#mermaid:
sequenceDiagram
participant Camera
participant ANPRCloud
participant Analyst

Camera->>ANPRCloud: Send detection (plate + image)
ANPRCloud->>ANPRCloud: Store & analyse
ANPRCloud->>Analyst: Trigger alert (if flagged)
Analyst->>ANPRCloud: Query history
}}

== 10. Summary ==

ANPR-Cloud transforms raw vehicle detections into structured, searchable, and actionable intelligence.

It enables organisations to move from passive monitoring to proactive, intelligence-driven operations.

== 11. External Links ==

* Official Website: https://www.anprcloud.co.za

File:Camera-checks.png

2026-04-17T16:58:39Z

Admin:

TVT POST XML Version 01.00

2026-04-17T16:58:23Z

Admin: /* 10. Verify on ANPR-CLOUD */

= ANPR-CLOUD + TVT LPR Camera Integration Manual =

== 1. Introduction ==

'''ANPR-CLOUD''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that receives, processes, and analyses vehicle detection events from supported cameras.

The platform enables:
* Real-time vehicle detection and logging
* Hotlist / alert notifications
* Vehicle movement tracking across multiple locations
* Integration with intelligence platforms such as SecureMIND

By connecting your '''TVT LPR camera''' directly to ANPR-CLOUD via HTTP POST, detections are streamed in real-time to the cloud without requiring intermediate servers.

== 2. Requirements ==

Before starting, ensure you have:

* TVT LPR Camera (with HTTP POST / API support)
* Camera accessible on your network
* Camera username & password
* Internet connectivity
* ANPR-CLOUD ingestion URL and API key

== 3. System Flow Overview ==

{{#mermaid:
flowchart LR
CAM["TVT LPR Camera"] -->|"HTTP POST XML"| CLOUD["ANPR-CLOUD Ingestor"]
CLOUD --> DB[(Database)]
CLOUD --> ANALYTICS["Analytics Engine"]
ANALYTICS --> DASH["Dashboard / UI"]
DB --> DASH
}}

'''Flow Explanation:'''
* Camera detects vehicle
* Sends HTTP POST to ANPR-CLOUD
* Data is processed and stored
* Results visible in dashboard and alerts

== 4. Add Camera in ANPR-CLOUD ==

Before configuring your physical camera, you must first register it on the ANPR-CLOUD platform.

=== Step 1: Login ===

# Open your browser
# Navigate to your '''client-specific domain''' (provided in your setup email)
# Login with your credentials

[[File:anprcloud-login.png|600px|thumb|center|ANPR-CLOUD login screen]]
=== Step 2: Add New Camera ===

# Go to '''Dashboard'''
# Click on '''[+ Add Camera]'''

[[File:add-camera-button.png|600px|thumb|center|Add Camera]]

=== Step 3: Enter Camera Details ===

Fill in the following fields:

* '''Camera Name''' – Friendly name (e.g. Gate Entrance Camera)
* '''Camera Ingestor''' – Select the applicable camera ingestor available for your account (Please contact us for list of available camera ingestors)
* '''Location Description''' – Description of where the camera is installed
* '''Address''' – Physical address of the camera
* '''Location on Map''' – Click on the map to set the exact camera position

[[File:add-camera-form.png|600px|thumb|center|Add Camera Form]]

=== Step 4: Create Camera Key ===

# Click '''[Add Camera]'''
# The system will generate a '''CAMERA_KEY''' for the camera.

[[File:camera-key.png|600px|thumb|center|Camera Setup]]

=== Step 5: Copy camera ingestor settings ===

# Click '''(i)''' button to show the setup instructions for the camera.
# Please copy the settings example '''IP, Port & Url''' and enter it into the camera.

[[File:camera-settings.png|600px|thumb|center|Camera Settings]]

== 5. Accessing the TVT Camera ==

=== Step 1: Open the Camera Web Interface ===

# Open a browser (Chrome recommended)
# Enter:
<pre>
http://<camera-ip>
</pre>
# Login using your credentials

[[File:camera-login.png|600px|thumb|center|Camera login screen]]

== 6. Configure Network ==

Navigate to:
<pre>
Settings → Network → TCP/IP
</pre>

Ensure:
* IP Address configured
* Gateway set
* DNS configured

[[File:network-settings.png|600px|thumb|center|Network settings]]

== 7. Enable LPR / ANPR ==

Navigate to:
<pre>
Settings → AI / Smart → LPR / ANPR
</pre>

Ensure:
* LPR Enabled
* Detection zones configured
* Plate recognition active

[[File:lpr-settings.png|600px|thumb|center|LPR settings]]

== 8. Configure HTTP POST Integration ==

=== Step 1: Navigate to Settings ===

<pre>
Settings → Network → Advanced → HTTP / Alarm / API
</pre>

[[File:http-settings.png|600px|thumb|center|HTTP settings]]

=== Step 2: Enable HTTP POST ===

Enable:
* HTTP POST / Alarm Upload
* Event Upload

=== Step 3: Configure POST Parameters ===

{| class="wikitable"
! Setting !! Value
|-
| Protocol || HTTP
|-
| Method || POST
|-
| Server IP / Host || {Server IP}
|-
| Port || {Server Port}
|-
| URL || ?key={KEY}
|-
| Trigger Event || LPR Detection
|}

'''Note:''' Replace <code>Server IP, Port and URL</code> with the info from the Camera Setup Instructions on ANPR-CLOUD in Section 4, Step 5 above.

[[File:http-post-config.png|600px|thumb|center|HTTP POST config]]

=== Step 4: Keepalive (Optional) ===

{| class="wikitable"
! Setting !! Value
|-
| Enable || Yes
|-
| Interval || 30–60 seconds
|-
| URL || /keepalive/?key=YOUR_CAMERA_KEY
|}

[[File:keepalive-settings.png|600px|thumb|center|Keepalive settings]]

== 9. Save and Test ==

# Click '''Save / Apply'''
# Trigger a vehicle detection
# Confirm data is received

== 10. Verify on ANPR-CLOUD ==

# Login to your client domain
# On the Dashboard page, verify that the badge counter increases as new plates are detected by the camera. Refresh the page before each check.

[[File:camera-checks.png|600px|thumb|center|Camera checks]]

== 11. Troubleshooting ==

=== No Data Received ===
* Check internet connectivity
* Verify CAMERA_KEY
* Confirm port (80/443)
* Check firewall

=== Only Keepalive Received ===
* Ensure camera can reach server
* Verify correct endpoint

=== Empty Plate Field ===
Check XML fields such as:
* <code><licensePlate></code>
* <code><plate></code>
* <code><text></code>

== 12. Recommended Configuration ==

* Use HTTP POST (not FTP)
* Use unique keys per camera
* Enable NTP time sync
* Use static IP or DHCP reservation

== 13. Tested TVT Models ==

{| class="wikitable"
! Model Part Number !! Software Version !! Hardware Version !! Notes
|-
| TD-9423A3BH-A-LR || 5.1.1.0(61898) || 1.5 || -
|-
| TD-9423A3-LR || T1.5-1422322 || 5.1.1.0(64616) || -
|-
| TD-9443A3BH-LR || 5.3.1.12288B260327.IC4.U1(13A10).beta || 1.5 || -
|}

== 14. Network Architecture Diagram ==

{{#mermaid:
flowchart TB
subgraph FIELD["Field Layer"]
CAM1["Camera 1"]
CAM2["Camera 2"]
end

subgraph CLOUD["ANPR-CLOUD"]
INGEST["Ingest API"]
PROC["Processing Engine"]
DB["(Database)"]
end

subgraph USERS["Users"]
DASH["Dashboard"]
API["API Access"]
ALERTS["Telegram Alerts"]
end

CAM1 --> INGEST
CAM2 --> INGEST
INGEST --> PROC
PROC --> DB
DB --> DASH
PROC --> ALERTS
PROC --> API
}}

== 15. Support ==

* Email: info@anprcloud.co.za
* Website: https://www.anprcloud.co.za

== 16. Summary ==

By completing this setup:

* Cameras send detections directly to ANPR-CLOUD
* Real-time intelligence and alerts enabled

'''ANPR-CLOUD transforms raw camera data into actionable intelligence.'''

File:Camera-settings.png

2026-04-17T15:28:16Z

Admin:

TVT POST XML Version 01.00

2026-04-17T15:24:27Z

Admin: /* 13. Tested TVT Models */

= ANPR-CLOUD + TVT LPR Camera Integration Manual =

== 1. Introduction ==

'''ANPR-CLOUD''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that receives, processes, and analyses vehicle detection events from supported cameras.

The platform enables:
* Real-time vehicle detection and logging
* Hotlist / alert notifications
* Vehicle movement tracking across multiple locations
* Integration with intelligence platforms such as SecureMIND

By connecting your '''TVT LPR camera''' directly to ANPR-CLOUD via HTTP POST, detections are streamed in real-time to the cloud without requiring intermediate servers.

== 2. Requirements ==

Before starting, ensure you have:

* TVT LPR Camera (with HTTP POST / API support)
* Camera accessible on your network
* Camera username & password
* Internet connectivity
* ANPR-CLOUD ingestion URL and API key

== 3. System Flow Overview ==

{{#mermaid:
flowchart LR
CAM["TVT LPR Camera"] -->|"HTTP POST XML"| CLOUD["ANPR-CLOUD Ingestor"]
CLOUD --> DB[(Database)]
CLOUD --> ANALYTICS["Analytics Engine"]
ANALYTICS --> DASH["Dashboard / UI"]
DB --> DASH
}}

'''Flow Explanation:'''
* Camera detects vehicle
* Sends HTTP POST to ANPR-CLOUD
* Data is processed and stored
* Results visible in dashboard and alerts

== 4. Add Camera in ANPR-CLOUD ==

Before configuring your physical camera, you must first register it on the ANPR-CLOUD platform.

=== Step 1: Login ===

# Open your browser
# Navigate to your '''client-specific domain''' (provided in your setup email)
# Login with your credentials

[[File:anprcloud-login.png|600px|thumb|center|ANPR-CLOUD login screen]]
=== Step 2: Add New Camera ===

# Go to '''Dashboard'''
# Click on '''[+ Add Camera]'''

[[File:add-camera-button.png|600px|thumb|center|Add Camera]]

=== Step 3: Enter Camera Details ===

Fill in the following fields:

* '''Camera Name''' – Friendly name (e.g. Gate Entrance Camera)
* '''Camera Ingestor''' – Select the applicable camera ingestor available for your account (Please contact us for list of available camera ingestors)
* '''Location Description''' – Description of where the camera is installed
* '''Address''' – Physical address of the camera
* '''Location on Map''' – Click on the map to set the exact camera position

[[File:add-camera-form.png|600px|thumb|center|Add Camera Form]]

=== Step 4: Create Camera Key ===

# Click '''[Add Camera]'''
# The system will generate a '''CAMERA_KEY''' for the camera.

[[File:camera-key.png|600px|thumb|center|Camera Setup]]

=== Step 5: Copy camera ingestor settings ===

# Click '''(i)''' button to show the setup instructions for the camera.
# Please copy the settings example '''IP, Port & Url''' and enter it into the camera.

[[File:camera-settings.png|600px|thumb|center|Camera Settings]]

== 5. Accessing the TVT Camera ==

=== Step 1: Open the Camera Web Interface ===

# Open a browser (Chrome recommended)
# Enter:
<pre>
http://<camera-ip>
</pre>
# Login using your credentials

[[File:camera-login.png|600px|thumb|center|Camera login screen]]

== 6. Configure Network ==

Navigate to:
<pre>
Settings → Network → TCP/IP
</pre>

Ensure:
* IP Address configured
* Gateway set
* DNS configured

[[File:network-settings.png|600px|thumb|center|Network settings]]

== 7. Enable LPR / ANPR ==

Navigate to:
<pre>
Settings → AI / Smart → LPR / ANPR
</pre>

Ensure:
* LPR Enabled
* Detection zones configured
* Plate recognition active

[[File:lpr-settings.png|600px|thumb|center|LPR settings]]

== 8. Configure HTTP POST Integration ==

=== Step 1: Navigate to Settings ===

<pre>
Settings → Network → Advanced → HTTP / Alarm / API
</pre>

[[File:http-settings.png|600px|thumb|center|HTTP settings]]

=== Step 2: Enable HTTP POST ===

Enable:
* HTTP POST / Alarm Upload
* Event Upload

=== Step 3: Configure POST Parameters ===

{| class="wikitable"
! Setting !! Value
|-
| Protocol || HTTP
|-
| Method || POST
|-
| Server IP / Host || {Server IP}
|-
| Port || {Server Port}
|-
| URL || ?key={KEY}
|-
| Trigger Event || LPR Detection
|}

'''Note:''' Replace <code>Server IP, Port and URL</code> with the info from the Camera Setup Instructions on ANPR-CLOUD in Section 4, Step 5 above.

[[File:http-post-config.png|600px|thumb|center|HTTP POST config]]

=== Step 4: Keepalive (Optional) ===

{| class="wikitable"
! Setting !! Value
|-
| Enable || Yes
|-
| Interval || 30–60 seconds
|-
| URL || /keepalive/?key=YOUR_CAMERA_KEY
|}

[[File:keepalive-settings.png|600px|thumb|center|Keepalive settings]]

== 9. Save and Test ==

# Click '''Save / Apply'''
# Trigger a vehicle detection
# Confirm data is received

== 10. Verify on ANPR-CLOUD ==

# Login to your client domain
# Check:
* Live detections
* Plate recognition
* Images and timestamps

== 11. Troubleshooting ==

=== No Data Received ===
* Check internet connectivity
* Verify CAMERA_KEY
* Confirm port (80/443)
* Check firewall

=== Only Keepalive Received ===
* Ensure camera can reach server
* Verify correct endpoint

=== Empty Plate Field ===
Check XML fields such as:
* <code><licensePlate></code>
* <code><plate></code>
* <code><text></code>

== 12. Recommended Configuration ==

* Use HTTP POST (not FTP)
* Use unique keys per camera
* Enable NTP time sync
* Use static IP or DHCP reservation

== 13. Tested TVT Models ==

{| class="wikitable"
! Model Part Number !! Software Version !! Hardware Version !! Notes
|-
| TD-9423A3BH-A-LR || 5.1.1.0(61898) || 1.5 || -
|-
| TD-9423A3-LR || T1.5-1422322 || 5.1.1.0(64616) || -
|-
| TD-9443A3BH-LR || 5.3.1.12288B260327.IC4.U1(13A10).beta || 1.5 || -
|}

== 14. Network Architecture Diagram ==

{{#mermaid:
flowchart TB
subgraph FIELD["Field Layer"]
CAM1["Camera 1"]
CAM2["Camera 2"]
end

subgraph CLOUD["ANPR-CLOUD"]
INGEST["Ingest API"]
PROC["Processing Engine"]
DB["(Database)"]
end

subgraph USERS["Users"]
DASH["Dashboard"]
API["API Access"]
ALERTS["Telegram Alerts"]
end

CAM1 --> INGEST
CAM2 --> INGEST
INGEST --> PROC
PROC --> DB
DB --> DASH
PROC --> ALERTS
PROC --> API
}}

== 15. Support ==

* Email: info@anprcloud.co.za
* Website: https://www.anprcloud.co.za

== 16. Summary ==

By completing this setup:

* Cameras send detections directly to ANPR-CLOUD
* Real-time intelligence and alerts enabled

'''ANPR-CLOUD transforms raw camera data into actionable intelligence.'''

TVT POST XML Version 01.00

2026-04-17T15:13:48Z

Admin:

= ANPR-CLOUD + TVT LPR Camera Integration Manual =

== 1. Introduction ==

'''ANPR-CLOUD''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that receives, processes, and analyses vehicle detection events from supported cameras.

The platform enables:
* Real-time vehicle detection and logging
* Hotlist / alert notifications
* Vehicle movement tracking across multiple locations
* Integration with intelligence platforms such as SecureMIND

By connecting your '''TVT LPR camera''' directly to ANPR-CLOUD via HTTP POST, detections are streamed in real-time to the cloud without requiring intermediate servers.

== 2. Requirements ==

Before starting, ensure you have:

* TVT LPR Camera (with HTTP POST / API support)
* Camera accessible on your network
* Camera username & password
* Internet connectivity
* ANPR-CLOUD ingestion URL and API key

== 3. System Flow Overview ==

{{#mermaid:
flowchart LR
CAM["TVT LPR Camera"] -->|"HTTP POST XML"| CLOUD["ANPR-CLOUD Ingestor"]
CLOUD --> DB[(Database)]
CLOUD --> ANALYTICS["Analytics Engine"]
ANALYTICS --> DASH["Dashboard / UI"]
DB --> DASH
}}

'''Flow Explanation:'''
* Camera detects vehicle
* Sends HTTP POST to ANPR-CLOUD
* Data is processed and stored
* Results visible in dashboard and alerts

== 4. Add Camera in ANPR-CLOUD ==

Before configuring your physical camera, you must first register it on the ANPR-CLOUD platform.

=== Step 1: Login ===

# Open your browser
# Navigate to your '''client-specific domain''' (provided in your setup email)
# Login with your credentials

[[File:anprcloud-login.png|600px|thumb|center|ANPR-CLOUD login screen]]
=== Step 2: Add New Camera ===

# Go to '''Dashboard'''
# Click on '''[+ Add Camera]'''

[[File:add-camera-button.png|600px|thumb|center|Add Camera]]

=== Step 3: Enter Camera Details ===

Fill in the following fields:

* '''Camera Name''' – Friendly name (e.g. Gate Entrance Camera)
* '''Camera Ingestor''' – Select the applicable camera ingestor available for your account (Please contact us for list of available camera ingestors)
* '''Location Description''' – Description of where the camera is installed
* '''Address''' – Physical address of the camera
* '''Location on Map''' – Click on the map to set the exact camera position

[[File:add-camera-form.png|600px|thumb|center|Add Camera Form]]

=== Step 4: Create Camera Key ===

# Click '''[Add Camera]'''
# The system will generate a '''CAMERA_KEY''' for the camera.

[[File:camera-key.png|600px|thumb|center|Camera Setup]]

=== Step 5: Copy camera ingestor settings ===

# Click '''(i)''' button to show the setup instructions for the camera.
# Please copy the settings example '''IP, Port & Url''' and enter it into the camera.

[[File:camera-settings.png|600px|thumb|center|Camera Settings]]

== 5. Accessing the TVT Camera ==

=== Step 1: Open the Camera Web Interface ===

# Open a browser (Chrome recommended)
# Enter:
<pre>
http://<camera-ip>
</pre>
# Login using your credentials

[[File:camera-login.png|600px|thumb|center|Camera login screen]]

== 6. Configure Network ==

Navigate to:
<pre>
Settings → Network → TCP/IP
</pre>

Ensure:
* IP Address configured
* Gateway set
* DNS configured

[[File:network-settings.png|600px|thumb|center|Network settings]]

== 7. Enable LPR / ANPR ==

Navigate to:
<pre>
Settings → AI / Smart → LPR / ANPR
</pre>

Ensure:
* LPR Enabled
* Detection zones configured
* Plate recognition active

[[File:lpr-settings.png|600px|thumb|center|LPR settings]]

== 8. Configure HTTP POST Integration ==

=== Step 1: Navigate to Settings ===

<pre>
Settings → Network → Advanced → HTTP / Alarm / API
</pre>

[[File:http-settings.png|600px|thumb|center|HTTP settings]]

=== Step 2: Enable HTTP POST ===

Enable:
* HTTP POST / Alarm Upload
* Event Upload

=== Step 3: Configure POST Parameters ===

{| class="wikitable"
! Setting !! Value
|-
| Protocol || HTTP
|-
| Method || POST
|-
| Server IP / Host || {Server IP}
|-
| Port || {Server Port}
|-
| URL || ?key={KEY}
|-
| Trigger Event || LPR Detection
|}

'''Note:''' Replace <code>Server IP, Port and URL</code> with the info from the Camera Setup Instructions on ANPR-CLOUD in Section 4, Step 5 above.

[[File:http-post-config.png|600px|thumb|center|HTTP POST config]]

=== Step 4: Keepalive (Optional) ===

{| class="wikitable"
! Setting !! Value
|-
| Enable || Yes
|-
| Interval || 30–60 seconds
|-
| URL || /keepalive/?key=YOUR_CAMERA_KEY
|}

[[File:keepalive-settings.png|600px|thumb|center|Keepalive settings]]

== 9. Save and Test ==

# Click '''Save / Apply'''
# Trigger a vehicle detection
# Confirm data is received

== 10. Verify on ANPR-CLOUD ==

# Login to your client domain
# Check:
* Live detections
* Plate recognition
* Images and timestamps

== 11. Troubleshooting ==

=== No Data Received ===
* Check internet connectivity
* Verify CAMERA_KEY
* Confirm port (80/443)
* Check firewall

=== Only Keepalive Received ===
* Ensure camera can reach server
* Verify correct endpoint

=== Empty Plate Field ===
Check XML fields such as:
* <code><licensePlate></code>
* <code><plate></code>
* <code><text></code>

== 12. Recommended Configuration ==

* Use HTTP POST (not FTP)
* Use unique keys per camera
* Enable NTP time sync
* Use static IP or DHCP reservation

== 13. Tested TVT Models ==

{| class="wikitable"
! Model !! Part Number !! Kernel Version !! Software Version !! Hardware Version !! Notes
|-
| TVT LPR Camera A || TBD || TBD || TBD || TBD || Working HTTP POST
|-
| TVT LPR Camera B || TBD || TBD || TBD || TBD || XML format differs
|-
| TVT LPR Camera C || TBD || TBD || TBD || TBD || Requires keepalive
|}

== 14. Network Architecture Diagram ==

{{#mermaid:
flowchart TB
subgraph FIELD["Field Layer"]
CAM1["Camera 1"]
CAM2["Camera 2"]
end

subgraph CLOUD["ANPR-CLOUD"]
INGEST["Ingest API"]
PROC["Processing Engine"]
DB["(Database)"]
end

subgraph USERS["Users"]
DASH["Dashboard"]
API["API Access"]
ALERTS["Telegram Alerts"]
end

CAM1 --> INGEST
CAM2 --> INGEST
INGEST --> PROC
PROC --> DB
DB --> DASH
PROC --> ALERTS
PROC --> API
}}

== 15. Support ==

* Email: info@anprcloud.co.za
* Website: https://www.anprcloud.co.za

== 16. Summary ==

By completing this setup:

* Cameras send detections directly to ANPR-CLOUD
* Real-time intelligence and alerts enabled

'''ANPR-CLOUD transforms raw camera data into actionable intelligence.'''

File:Camera-key.png

2026-04-17T15:04:51Z

Admin:

File:Add-camera-form.png

2026-04-17T15:04:06Z

Admin:

File:Add-camera-button.png

2026-04-17T15:03:25Z

Admin:

File:Anprcloud-login.png

2026-04-17T15:02:48Z

Admin:

TVT POST XML Version 01.00

2026-04-17T15:02:13Z

Admin: Created page with "= ANPR-CLOUD + TVT LPR Camera Integration Manual = == 1. Introduction == '''ANPR-CLOUD''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that receives, processes, and analyses vehicle detection events from supported cameras. The platform enables: * Real-time vehicle detection and logging * Hotlist / alert notifications * Vehicle movement tracking across multiple locations * Integration with intelligence platforms such as SecureMIND By..."

= ANPR-CLOUD + TVT LPR Camera Integration Manual =

== 1. Introduction ==

'''ANPR-CLOUD''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that receives, processes, and analyses vehicle detection events from supported cameras.

The platform enables:
* Real-time vehicle detection and logging
* Hotlist / alert notifications
* Vehicle movement tracking across multiple locations
* Integration with intelligence platforms such as SecureMIND

By connecting your '''TVT LPR camera''' directly to ANPR-CLOUD via HTTP POST, detections are streamed in real-time to the cloud without requiring intermediate servers.

== 2. Requirements ==

Before starting, ensure you have:

* TVT LPR Camera (with HTTP POST / API support)
* Camera accessible on your network
* Camera username & password
* Internet connectivity
* ANPR-CLOUD ingestion URL and API key

== 3. System Flow Overview ==

{{#mermaid:
flowchart LR
CAM["TVT LPR Camera"] -->|"HTTP POST XML"| CLOUD["ANPR-CLOUD Ingestor"]
CLOUD --> DB[(Database)]
CLOUD --> ANALYTICS["Analytics Engine"]
ANALYTICS --> DASH["Dashboard / UI"]
DB --> DASH
}}

'''Flow Explanation:'''
* Camera detects vehicle
* Sends HTTP POST to ANPR-CLOUD
* Data is processed and stored
* Results visible in dashboard and alerts

== 4. Add Camera in ANPR-CLOUD ==

Before configuring your physical camera, you must first register it on the ANPR-CLOUD platform.

=== Step 1: Login ===

# Open your browser
# Navigate to your '''client-specific domain''' (provided in your setup email)
# Login with your credentials

[[File:anprcloud-login.png|800px]]

=== Step 2: Add New Camera ===

# Go to '''Dashboard'''
# Click on '''[+ Add Camera]'''

[[File:add-camera-button.png|800px]]

=== Step 3: Enter Camera Details ===

Fill in the following fields:

* '''Camera Name''' – Friendly name (e.g. Gate Entrance Camera)
* '''Camera Ingestor''' – Select the applicable camera ingestor available for your account (Please contact us for list of available camera ingestors)
* '''Location Description''' – Description of where the camera is installed
* '''Address''' – Physical address of the camera
* '''Location on Map''' – Click on the map to set the exact camera position

[[File:add-camera-form.png|800px]]

=== Step 4: Create Camera Key ===

# Click '''[Add Camera]'''
# The system will generate a '''CAMERA_KEY''' for the camera.

[[File:camera-key.png|800px]]

=== Step 5: Copy camera ingestor settings ===

# Click '''(i)''' button to show the setup instructions for the camera.
# Please copy the settings example '''IP, Port & Url''' and enter it into the camera.

== 5. Accessing the TVT Camera ==

=== Step 1: Open the Camera Web Interface ===

# Open a browser (Chrome recommended)
# Enter:
<pre>
http://<camera-ip>
</pre>
# Login using your credentials

[[File:camera-login.png|800px]]

== 6. Configure Network ==

Navigate to:
<pre>
Settings → Network → TCP/IP
</pre>

Ensure:
* IP Address configured
* Gateway set
* DNS configured

[[File:network-settings.png|800px]]

== 7. Enable LPR / ANPR ==

Navigate to:
<pre>
Settings → AI / Smart → LPR / ANPR
</pre>

Ensure:
* LPR Enabled
* Detection zones configured
* Plate recognition active

[[File:lpr-settings.png|800px]]

== 8. Configure HTTP POST Integration ==

=== Step 1: Navigate to Settings ===

<pre>
Settings → Network → Advanced → HTTP / Alarm / API
</pre>

[[File:http-settings.png|800px]]

=== Step 2: Enable HTTP POST ===

Enable:
* HTTP POST / Alarm Upload
* Event Upload

=== Step 3: Configure POST Parameters ===

{| class="wikitable"
! Setting !! Value
|-
| Protocol || HTTP
|-
| Method || POST
|-
| Server IP / Host || {Server IP}
|-
| Port || {Server Port}
|-
| URL || ?key={KEY}
|-
| Trigger Event || LPR Detection
|}

'''Note:''' Replace <code>Server IP, Port and URL</code> with the info from the Camera Setup Instructions on ANPR-CLOUD in Section 4, Step 5 above.

[[File:http-post-config.png|800px]]

=== Step 4: Keepalive (Optional) ===

{| class="wikitable"
! Setting !! Value
|-
| Enable || Yes
|-
| Interval || 30–60 seconds
|-
| URL || /keepalive/?key=YOUR_CAMERA_KEY
|}

[[File:keepalive-settings.png|800px]]

== 9. Save and Test ==

# Click '''Save / Apply'''
# Trigger a vehicle detection
# Confirm data is received

== 10. Verify on ANPR-CLOUD ==

# Login to your client domain
# Check:
* Live detections
* Plate recognition
* Images and timestamps

== 11. Troubleshooting ==

=== No Data Received ===
* Check internet connectivity
* Verify CAMERA_KEY
* Confirm port (80/443)
* Check firewall

=== Only Keepalive Received ===
* Ensure camera can reach server
* Verify correct endpoint

=== Empty Plate Field ===
Check XML fields such as:
* <code><licensePlate></code>
* <code><plate></code>
* <code><text></code>

== 12. Recommended Configuration ==

* Use HTTP POST (not FTP)
* Use unique keys per camera
* Enable NTP time sync
* Use static IP or DHCP reservation

== 13. Tested TVT Models ==

{| class="wikitable"
! Model !! Part Number !! Kernel Version !! Software Version !! Hardware Version !! Notes
|-
| TVT LPR Camera A || TBD || TBD || TBD || TBD || Working HTTP POST
|-
| TVT LPR Camera B || TBD || TBD || TBD || TBD || XML format differs
|-
| TVT LPR Camera C || TBD || TBD || TBD || TBD || Requires keepalive
|}

== 14. Network Architecture Diagram ==

{{#mermaid:
flowchart TB
subgraph FIELD["Field Layer"]
CAM1["Camera 1"]
CAM2["Camera 2"]
end

subgraph CLOUD["ANPR-CLOUD"]
INGEST["Ingest API"]
PROC["Processing Engine"]
DB["(Database)"]
end

subgraph USERS["Users"]
DASH["Dashboard"]
API["API Access"]
ALERTS["Telegram Alerts"]
end

CAM1 --> INGEST
CAM2 --> INGEST
INGEST --> PROC
PROC --> DB
DB --> DASH
PROC --> ALERTS
PROC --> API
}}

== 15. Support ==

* Email: info@anprcloud.co.za
* Website: https://www.anprcloud.co.za

== 16. Summary ==

By completing this setup:

* Cameras send detections directly to ANPR-CLOUD
* Real-time intelligence and alerts enabled

'''ANPR-CLOUD transforms raw camera data into actionable intelligence.'''

Main Page

2026-04-17T11:49:07Z

Admin:

= ANPR-Cloud Platform =
[[File:ANPCloud_info.png|800px|thumb|center|Infographic]]
<center><youtube>DPsS78bonwM</youtube></center> 

'''ANPR-Cloud''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that ingests vehicle detection data from connected cameras and transforms it into actionable intelligence.

The platform enables security teams, control rooms, and investigators to monitor vehicle activity in real-time, analyse movement patterns, and respond to vehicles of interest across multiple locations.

ANPR-Cloud provides centralized visibility of detections, analytics, and alerting capabilities in a secure cloud environment.

== 1. Overview ==

ANPR-Cloud is designed to bridge the gap between raw camera detections and operational intelligence.

Core capabilities include:

* Real-time vehicle detection monitoring
* Centralized multi-site visibility
* Vehicle movement analytics and pattern detection
* Image capture and evidence storage
* Hotlist and alerting capabilities
* Integration into intelligence platforms such as SecureMIND

The platform supports multiple plate formats and integrates directly with LPR/ANPR cameras.

== 2. How ANPR-Cloud Works ==

ANPR systems use cameras to detect and extract license plate data from vehicles.

ANPR-Cloud extends this by providing cloud-based ingestion, storage, analytics, and visualization.

=== System Flow ===

{{#mermaid:
flowchart LR
CAM["LPR Cameras"] --> API["ANPR-Cloud API Endpoint"]
API --> INGEST["Ingestion Layer"]
INGEST --> DB["(Cloud Database)"]
DB --> ANALYTICS["Analytics Engine"]
ANALYTICS --> ALERTS["Alerts / Hotlists"]
ANALYTICS --> UI["Dashboard / UI"]
DB --> UI
}}

=== Process Steps ===

# Cameras detect vehicle plates
# Detection is sent via HTTP POST/API/FTP
# ANPR-Cloud stores images and metadata
# Data is analysed for patterns and matches
# Alerts are triggered for flagged vehicles
# Users access insights via dashboard

== 3. Core Features ==

=== 3.1 Real-Time Monitoring ===
* Live vehicle detections across all connected cameras
* Immediate visibility into site activity
* Rapid response to vehicles of interest

=== 3.2 Vehicle Analytics ===
* Movement tracking between locations
* Repeat sightings and visit patterns
* Behavioural analysis across sites

=== 3.3 Centralised Visibility ===
* Single dashboard for all sites
* Multi-camera and multi-location support
* Unified search and filtering

=== 3.4 Evidence Management ===
* Secure storage of images and metadata
* Timestamped detection records
* Audit and investigation support

=== 3.5 Camera Mapping ===
* GPS-based camera positioning
* Site-level and lane-level visibility

=== 3.6 Integration Capability ===
* Integration with SecureMIND intelligence platform
* API-based integration for third-party systems

== 4. Architecture Overview ==

{{#mermaid:
flowchart TD
subgraph FIELD
CAM1["Camera 1"]
CAM2["Camera 2"]
CAM3["Camera N"]
end

subgraph CLOUD
API["API Layer"]
QUEUE["Processing Queue"]
DB["(Database)"]
AI["Analytics Engine"]
end

subgraph USER
DASH[Dashboard]
ALERT[Alerts]
SEARCH["Search Interface"]
end

CAM1 --> API
CAM2 --> API
CAM3 --> API

API --> QUEUE
QUEUE --> DB
DB --> AI

AI --> DASH
AI --> ALERT
DB --> SEARCH
}}

== 5. Use Cases ==

ANPR-Cloud is used across multiple environments:

=== Security & Control Rooms ===
* Monitor incoming and outgoing vehicles
* Detect suspicious or flagged vehicles
* Improve response times

=== Community Safety Networks ===
* Share vehicle intelligence
* Track suspect vehicles across regions

=== Corporate & Industrial Sites ===
* Perimeter monitoring
* Access control augmentation
* Incident investigation

=== Law Enforcement Support ===
* Vehicle tracking and evidence collection
* Pattern analysis and investigations

== 6. Key Benefits ==

* '''Real-time intelligence''' – immediate visibility into vehicle activity
* '''Centralised operations''' – single platform for all sites
* '''Scalable cloud architecture''' – no on-site infrastructure required
* '''Data-driven insights''' – actionable analytics instead of raw data
* '''Faster response times''' – detect and act quickly

== 7. Supported Manufacturers ==

ANPR-Cloud supports integration with various LPR/ANPR camera manufacturers.

→ See: [[Supported Manufacturers]]

== 8. Integration with SecureMIND ==

ANPR-Cloud can feed detections into SecureMIND to enable:

* Cross-domain intelligence correlation
* OSINT enrichment
* Threat scoring and prioritisation
* Investigation workflows

== 9. Example Data Flow ==

{{#mermaid:
sequenceDiagram
participant Camera
participant ANPRCloud
participant Analyst

Camera->>ANPRCloud: Send detection (plate + image)
ANPRCloud->>ANPRCloud: Store & analyse
ANPRCloud->>Analyst: Trigger alert (if flagged)
Analyst->>ANPRCloud: Query history
}}

== 10. Summary ==

ANPR-Cloud transforms raw vehicle detections into structured, searchable, and actionable intelligence.

It enables organisations to move from passive monitoring to proactive, intelligence-driven operations.

== 11. External Links ==

* Official Website: https://www.anprcloud.co.za

File:ANPCloud info.png

2026-04-17T11:48:50Z

Admin:

Main Page

2026-04-17T11:46:43Z

Admin:

[[File:ANPCloud_info.png|800px|thumb|center|Infographic]]
<center><youtube>DPsS78bonwM</youtube></center> 
= ANPR-Cloud Platform =

'''ANPR-Cloud''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that ingests vehicle detection data from connected cameras and transforms it into actionable intelligence.

The platform enables security teams, control rooms, and investigators to monitor vehicle activity in real-time, analyse movement patterns, and respond to vehicles of interest across multiple locations.

ANPR-Cloud provides centralized visibility of detections, analytics, and alerting capabilities in a secure cloud environment.

== 1. Overview ==

ANPR-Cloud is designed to bridge the gap between raw camera detections and operational intelligence.

Core capabilities include:

* Real-time vehicle detection monitoring
* Centralized multi-site visibility
* Vehicle movement analytics and pattern detection
* Image capture and evidence storage
* Hotlist and alerting capabilities
* Integration into intelligence platforms such as SecureMIND

The platform supports multiple plate formats and integrates directly with LPR/ANPR cameras.

== 2. How ANPR-Cloud Works ==

ANPR systems use cameras to detect and extract license plate data from vehicles.

ANPR-Cloud extends this by providing cloud-based ingestion, storage, analytics, and visualization.

=== System Flow ===

{{#mermaid:
flowchart LR
CAM["LPR Cameras"] --> API["ANPR-Cloud API Endpoint"]
API --> INGEST["Ingestion Layer"]
INGEST --> DB["(Cloud Database)"]
DB --> ANALYTICS["Analytics Engine"]
ANALYTICS --> ALERTS["Alerts / Hotlists"]
ANALYTICS --> UI["Dashboard / UI"]
DB --> UI
}}

=== Process Steps ===

# Cameras detect vehicle plates
# Detection is sent via HTTP POST/API/FTP
# ANPR-Cloud stores images and metadata
# Data is analysed for patterns and matches
# Alerts are triggered for flagged vehicles
# Users access insights via dashboard

== 3. Core Features ==

=== 3.1 Real-Time Monitoring ===
* Live vehicle detections across all connected cameras
* Immediate visibility into site activity
* Rapid response to vehicles of interest

=== 3.2 Vehicle Analytics ===
* Movement tracking between locations
* Repeat sightings and visit patterns
* Behavioural analysis across sites

=== 3.3 Centralised Visibility ===
* Single dashboard for all sites
* Multi-camera and multi-location support
* Unified search and filtering

=== 3.4 Evidence Management ===
* Secure storage of images and metadata
* Timestamped detection records
* Audit and investigation support

=== 3.5 Camera Mapping ===
* GPS-based camera positioning
* Site-level and lane-level visibility

=== 3.6 Integration Capability ===
* Integration with SecureMIND intelligence platform
* API-based integration for third-party systems

== 4. Architecture Overview ==

{{#mermaid:
flowchart TD
subgraph FIELD
CAM1["Camera 1"]
CAM2["Camera 2"]
CAM3["Camera N"]
end

subgraph CLOUD
API["API Layer"]
QUEUE["Processing Queue"]
DB["(Database)"]
AI["Analytics Engine"]
end

subgraph USER
DASH[Dashboard]
ALERT[Alerts]
SEARCH["Search Interface"]
end

CAM1 --> API
CAM2 --> API
CAM3 --> API

API --> QUEUE
QUEUE --> DB
DB --> AI

AI --> DASH
AI --> ALERT
DB --> SEARCH
}}

== 5. Use Cases ==

ANPR-Cloud is used across multiple environments:

=== Security & Control Rooms ===
* Monitor incoming and outgoing vehicles
* Detect suspicious or flagged vehicles
* Improve response times

=== Community Safety Networks ===
* Share vehicle intelligence
* Track suspect vehicles across regions

=== Corporate & Industrial Sites ===
* Perimeter monitoring
* Access control augmentation
* Incident investigation

=== Law Enforcement Support ===
* Vehicle tracking and evidence collection
* Pattern analysis and investigations

== 6. Key Benefits ==

* '''Real-time intelligence''' – immediate visibility into vehicle activity
* '''Centralised operations''' – single platform for all sites
* '''Scalable cloud architecture''' – no on-site infrastructure required
* '''Data-driven insights''' – actionable analytics instead of raw data
* '''Faster response times''' – detect and act quickly

== 7. Supported Manufacturers ==

ANPR-Cloud supports integration with various LPR/ANPR camera manufacturers.

→ See: [[Supported Manufacturers]]

== 8. Integration with SecureMIND ==

ANPR-Cloud can feed detections into SecureMIND to enable:

* Cross-domain intelligence correlation
* OSINT enrichment
* Threat scoring and prioritisation
* Investigation workflows

== 9. Example Data Flow ==

{{#mermaid:
sequenceDiagram
participant Camera
participant ANPRCloud
participant Analyst

Camera->>ANPRCloud: Send detection (plate + image)
ANPRCloud->>ANPRCloud: Store & analyse
ANPRCloud->>Analyst: Trigger alert (if flagged)
Analyst->>ANPRCloud: Query history
}}

== 10. Summary ==

ANPR-Cloud transforms raw vehicle detections into structured, searchable, and actionable intelligence.

It enables organisations to move from passive monitoring to proactive, intelligence-driven operations.

== 11. External Links ==

* Official Website: https://www.anprcloud.co.za

Supported Manufacturers

2026-04-17T11:45:43Z

Admin: Created page with "= Supported Manufacturers = ANPR-Cloud integrates with a range of LPR/ANPR camera manufacturers that support HTTP POST, API, or FTP-based event transmission. == Common Supported Types == * Hikvision LPR Cameras * TVT LPR Cameras * Custom / Generic API-enabled cameras == Integration Methods == * HTTP POST (Recommended) * REST API * FTP Upload == Requirements == * Camera must support sending: * Plate number * Image snapshot * Derection of travel..."

= Supported Manufacturers =

ANPR-Cloud integrates with a range of LPR/ANPR camera manufacturers that support HTTP POST, API, or FTP-based event transmission.

== Common Supported Types ==

* Hikvision LPR Cameras
* TVT LPR Cameras
* Custom / Generic API-enabled cameras

== Integration Methods ==

* HTTP POST (Recommended)
* REST API
* FTP Upload

== Requirements ==

* Camera must support sending:
* Plate number
* Image snapshot
* Derection of travel (optional)
* Confidence (optional)

== Notes ==

ANPR-Cloud can develop custom integrations for unsupported manufacturers.

Contact: info@anprcloud.co.za

Main Page

2026-04-17T11:44:00Z

Admin:

= ANPR-Cloud Platform =

'''ANPR-Cloud''' is a cloud-based Automatic Number Plate Recognition (ANPR/LPR) platform that ingests vehicle detection data from connected cameras and transforms it into actionable intelligence.

The platform enables security teams, control rooms, and investigators to monitor vehicle activity in real-time, analyse movement patterns, and respond to vehicles of interest across multiple locations.

ANPR-Cloud provides centralized visibility of detections, analytics, and alerting capabilities in a secure cloud environment.

== 1. Overview ==

ANPR-Cloud is designed to bridge the gap between raw camera detections and operational intelligence.

Core capabilities include:

* Real-time vehicle detection monitoring
* Centralized multi-site visibility
* Vehicle movement analytics and pattern detection
* Image capture and evidence storage
* Hotlist and alerting capabilities
* Integration into intelligence platforms such as SecureMIND

The platform supports multiple plate formats and integrates directly with LPR/ANPR cameras.

== 2. How ANPR-Cloud Works ==

ANPR systems use cameras to detect and extract license plate data from vehicles.

ANPR-Cloud extends this by providing cloud-based ingestion, storage, analytics, and visualization.

=== System Flow ===

{{#mermaid:
flowchart LR
CAM["LPR Cameras"] --> API["ANPR-Cloud API Endpoint"]
API --> INGEST["Ingestion Layer"]
INGEST --> DB["(Cloud Database)"]
DB --> ANALYTICS["Analytics Engine"]
ANALYTICS --> ALERTS["Alerts / Hotlists"]
ANALYTICS --> UI["Dashboard / UI"]
DB --> UI
}}

=== Process Steps ===

# Cameras detect vehicle plates
# Detection is sent via HTTP POST/API/FTP
# ANPR-Cloud stores images and metadata
# Data is analysed for patterns and matches
# Alerts are triggered for flagged vehicles
# Users access insights via dashboard

== 3. Core Features ==

=== 3.1 Real-Time Monitoring ===
* Live vehicle detections across all connected cameras
* Immediate visibility into site activity
* Rapid response to vehicles of interest

=== 3.2 Vehicle Analytics ===
* Movement tracking between locations
* Repeat sightings and visit patterns
* Behavioural analysis across sites

=== 3.3 Centralised Visibility ===
* Single dashboard for all sites
* Multi-camera and multi-location support
* Unified search and filtering

=== 3.4 Evidence Management ===
* Secure storage of images and metadata
* Timestamped detection records
* Audit and investigation support

=== 3.5 Camera Mapping ===
* GPS-based camera positioning
* Site-level and lane-level visibility

=== 3.6 Integration Capability ===
* Integration with SecureMIND intelligence platform
* API-based integration for third-party systems

== 4. Architecture Overview ==

{{#mermaid:
flowchart TD
subgraph FIELD
CAM1["Camera 1"]
CAM2["Camera 2"]
CAM3["Camera N"]
end

subgraph CLOUD
API["API Layer"]
QUEUE["Processing Queue"]
DB["(Database)"]
AI["Analytics Engine"]
end

subgraph USER
DASH[Dashboard]
ALERT[Alerts]
SEARCH["Search Interface"]
end

CAM1 --> API
CAM2 --> API
CAM3 --> API

API --> QUEUE
QUEUE --> DB
DB --> AI

AI --> DASH
AI --> ALERT
DB --> SEARCH
}}

== 5. Use Cases ==

ANPR-Cloud is used across multiple environments:

=== Security & Control Rooms ===
* Monitor incoming and outgoing vehicles
* Detect suspicious or flagged vehicles
* Improve response times

=== Community Safety Networks ===
* Share vehicle intelligence
* Track suspect vehicles across regions

=== Corporate & Industrial Sites ===
* Perimeter monitoring
* Access control augmentation
* Incident investigation

=== Law Enforcement Support ===
* Vehicle tracking and evidence collection
* Pattern analysis and investigations

== 6. Key Benefits ==

* '''Real-time intelligence''' – immediate visibility into vehicle activity
* '''Centralised operations''' – single platform for all sites
* '''Scalable cloud architecture''' – no on-site infrastructure required
* '''Data-driven insights''' – actionable analytics instead of raw data
* '''Faster response times''' – detect and act quickly

== 7. Supported Manufacturers ==

ANPR-Cloud supports integration with various LPR/ANPR camera manufacturers.

→ See: [[Supported Manufacturers]]

== 8. Integration with SecureMIND ==

ANPR-Cloud can feed detections into SecureMIND to enable:

* Cross-domain intelligence correlation
* OSINT enrichment
* Threat scoring and prioritisation
* Investigation workflows

== 9. Example Data Flow ==

{{#mermaid:
sequenceDiagram
participant Camera
participant ANPRCloud
participant Analyst

Camera->>ANPRCloud: Send detection (plate + image)
ANPRCloud->>ANPRCloud: Store & analyse
ANPRCloud->>Analyst: Trigger alert (if flagged)
Analyst->>ANPRCloud: Query history
}}

== 10. Summary ==

ANPR-Cloud transforms raw vehicle detections into structured, searchable, and actionable intelligence.

It enables organisations to move from passive monitoring to proactive, intelligence-driven operations.

== 11. External Links ==

* Official Website: https://www.anprcloud.co.za