AI Video Analytics – Real Case Studies

AI Video Analytics Solution
Real-World Case Studies

Real application examples demonstrating how AI video analytics delivers intelligent recognition, real-time alerts and proactive protection across different sites.

Our AI Video Analytics Solution has been successfully deployed at construction sites, car parks, indoor corridors, worksite safety management and various commercial premises.
The following real case studies cover key functions including license plate recognition, human behavior analysis, PPE detection, fire & smoke detection, intrusion detection, object recognition and fall detection,
giving you a clear view of how the system performs in actual environments.

Selected real-scene screenshots and descriptions

1. License Plate Recognition & Parking Management

The system automatically recognizes license plate numbers, records vehicle entry and exit times, and supports whitelist management with alerts for abnormal vehicles. Ideal for residential estates, commercial buildings, car parks and logistics sites, significantly reducing manual registration work.


License Plate Recognition Case 1

2. Lifting Zone / Construction Site Personnel Detection

Using high-angle or wide-angle views, AI continuously detects the position and number of personnel within lifting zones, construction platforms and high-risk areas. Once someone enters a danger zone, the system immediately highlights the person and issues an alert, helping site management strengthen safety control.


Lifting Zone Personnel Detection 1


Lifting Zone Personnel Detection 2


Lifting Zone Personnel Detection 3

3. Fire & Smoke Detection

The system instantly identifies flames and dense smoke, marking the fire source on the screen. Suitable for construction sites, warehouses, outdoor open areas and other locations with fire risks, allowing earlier response time.

4. Area Intrusion Detection

Using virtual fence technology, the system detects whether personnel enter restricted areas. Once a boundary is crossed, it immediately highlights the intrusion and triggers an alert. Ideal for construction danger zones, rooftops, warehouse restricted areas and other high-security locations.


Area Intrusion Detection


Area Intrusion Detection

5. Face Recognition

Supports face detection, stranger identification, access control and attendance applications. Real-time face matching can be performed at entrances, elevator lobbies and offices to improve access management efficiency.


Face Recognition Case 1


Face Recognition Case 3


Face Recognition Case 2

6. Object Recognition

AI can identify specific objects (such as beverage cans, tools and equipment). Suitable for warehouse management, office environment monitoring or inventory counting scenarios, helping quickly locate and quantify objects.


Object Recognition Case 1


Object Recognition Case 2

7. Fall Detection

The system continuously analyzes human posture. When a person is detected falling or lying abnormally on the ground, it immediately issues an alert. Suitable for care homes, factories, warehouses and other locations where personnel safety requires close attention.


Fall Detection

8. PPE Detection (Safety Helmet / Reflective Vest)

AI automatically checks whether workers are wearing safety helmets and reflective vests. When non-compliance is detected, the system immediately highlights the person and issues a reminder, helping construction sites enforce safety regulations.


PPE Detection Case 1


PPE Detection Case 2

9. Vehicle Recognition

The system can distinguish between cars, buses, motorcycles, trucks and other vehicle types, and perform counting and trajectory tracking. Suitable for transport hubs, construction site entrances and large venue traffic management.


Vehicle Recognition Case 1


Vehicle Recognition Case 2

Get Your Customized Solution Now

If you would like to learn more about the technical details of the above cases, or wish to evaluate a similar solution for your site, please contact our technical team. We can design the most suitable AI video analytics configuration based on your actual environment to help improve safety management efficiency.

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