
1. Background
In high-altitude or special operations, a safety belt is literally a lifeline. On many construction sites, scaffolding, and elevated work areas, workers are required to wear safety harnesses at all times to prevent falls and serious injuries.
However, due to large work areas, long working hours, and limited supervision capacity, it is difficult for safety managers to continuously monitor every worker on-site.
By leveraging existing surveillance cameras and AI visual analysis, Fuwee Vision’s Safety Belt Detection System automatically identifies whether workers are properly wearing safety harnesses, significantly improving supervision efficiency and reducing management costs.
2. Product Overview
The Fuwee Vision AI Safety Belt Detection System is an intelligent image recognition platform based on video stream analysis.
Using advanced deep learning and computer vision algorithms, the system automatically detects whether workers at height are wearing safety belts correctly, providing strong support for safety supervision and compliance management.
It works in real time, requires no additional hardware, and supports both on-site and control-room alerts.
3. System Architecture & Workflow
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Front-end cameras continuously upload real-time video streams to the server.
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The Safety Belt Detection System analyzes the video feed to identify personnel and detect whether safety belts are properly fastened.
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When violations are detected, the system captures images, stores evidence, and triggers alerts locally or in the control center.
This enables real-time, automated monitoring without the need for manual inspection.
4. Key Features & Technical Parameters
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Detects safety belt compliance in adjustable zones and time periods
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Supports recognition of multiple colors (white, blue, red, orange, yellow, etc.)
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Suitable for diverse scenes — construction sites, factories, mining areas, indoor and outdoor environments
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Detects single or multiple persons, from front or back angles
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Compatible with both bullet and dome cameras
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Detection accuracy: >95%
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Image capture accuracy: >90%
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Detection distance: 5–100 meters, depending on focal length and resolution
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Detection condition: human height ≥ 1/10 of total image height
5. Software Features
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Supports duplicate alarm filtering
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Automatic HTTP/FTP message and file push
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Distortion pre-processing for wide-angle images
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Auto start-up and unattended operation
6. Product Advantages
| Advantage | Description |
|---|---|
| Multi-channel | Up to 40 video streams per server |
| Flexible | Real-time analysis, local or remote alerts |
| Fast | Millisecond-level recognition speed |
| Versatile | Multiple algorithms on a single stream |
| Accurate | Detects from front, side, or back up to 100+ meters |
| Economical | CPU-only operation, no GPU required |
| Compatible | Works with existing surveillance cameras |
| User-friendly | Windows-based interface, easy to operate |
7. Application Scenarios
The system is widely used in:
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Power plants and substations
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Construction and building sites
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Mining and exploration operations
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High-rise maintenance and facade cleaning
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Infrastructure inspection and repair projects
By integrating Fuwee Vision’s AI detection software, site managers can achieve continuous, automated, and accurate safety supervision — reducing human error and ensuring compliance with occupational safety standards.
8. About Fuwee Vision
Fuwee Vision provides intelligent video-based safety monitoring solutions including Fire & Smoke Detection, Hard Hat Detection, Reflective Vest Detection, and Smoking Behavior Recognition.
Our goal is to make industrial environments safer through AI-powered computer vision technology.
