1. Background
In industrial production and construction environments, safety is always a top priority.
Reflective vests play a critical role in preventing accidents, especially in construction sites and high-risk zones.
Wearing a reflective vest as required is an essential measure for safety management.
Fuwee Vision has developed an AI Reflective Vest Detection System based on advanced image recognition technology.
The system automatically identifies individuals not wearing reflective vests in surveillance footage, helping managers enforce compliance and prevent potential accidents.
2. Product Overview
The Reflective Vest Detection System by Fuwee Vision is an AI-powered, video-based image recognition system that replaces manual monitoring.
Using deep learning and real-time video analytics, it automatically detects workers who are not wearing reflective vests, captures images, and triggers alerts.
The system integrates seamlessly with existing cameras—no additional hardware required—providing continuous, automatic safety monitoring.
3. Working Process
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Front-end cameras upload live video streams to the central server.
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The AI Reflective Vest Detection System analyzes the video feed in real time.
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When a violation is detected, the system captures an image and sends an alert according to the preset rules.
4. Key Features
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Automatic Detection: Instantly detects workers without reflective vests.
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Multi-Color Support: Recognizes multiple colors (orange, red, green, etc.).
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Compatible with Various Cameras: Supports both bullet and PTZ cameras.
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Flexible Integration: Uses existing network cameras and infrastructure.
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High Accuracy: 90% detection and accuracy rate under standard conditions.
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Non-Intrusive: Works in real time without manual intervention.
5. Technical Specifications
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Object Requirements:
The person must occupy at least 1/10 of the image height, and the vest color must be clearly visible. -
Detection Range (with 2MP camera):
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8 mm lens → up to 50 meters
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6 mm lens → up to 30 meters
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Performance:
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Snapshot rate: 90%
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Accuracy: 90%
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Camera Compatibility: Hikvision, Dahua, and other RTSP/RTMP/ONVIF-compliant devices
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Resolution: ≥ 2 megapixels
6. Hardware Requirements
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Operating System: 64-bit Windows (Windows 10 or later)
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CPU: Intel Core i3 / i5 / i7 / i9 (4th Gen or above)
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Memory: 4 GB or higher (recommended 8 GB+)
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Network: Local connection to cameras (internet not required for operation)
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GPU: Not required
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Performance: One server supports up to 32 video channels
7. Application Scenarios
The Reflective Vest Detection System can be widely applied to:
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Construction sites (buildings, bridges, metro lines, etc.)
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Mining operations (coal, iron, non-ferrous metal mines)
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Industrial plants (steel, aluminum, power, and shipbuilding)
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Smart city and municipal engineering projects
This system helps ensure compliance, reduce human error, and enhance workplace safety through intelligent automation.
8. Project References
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Xi’an International Football Center
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Yantai Penglai International Airport Phase II Smart Construction Project
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China Iron & Steel Research Institute “One Institute One Park” Project
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Hengqin Macau New Neighborhood Construction Project
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Zhuhai Times Horizon Smart Construction Site
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And many other ongoing projects across China
9. Why Choose Fuwee Vision
Fuwee Vision specializes in AI-powered video analytics for safety and compliance management.
Our algorithms are optimized for accuracy, adaptability, and easy deployment—turning any ordinary camera into an intelligent safety detection device.
