Overview
In industrial production and construction environments, safety is always the top priority. Proper wearing of workwear and safety helmets plays a crucial role in preventing workplace injuries. To address the challenge of ensuring consistent compliance, FuweeVision has developed an AI-powered Workwear Detection System based on advanced image recognition technology.
This system automatically identifies whether workers are wearing standard uniforms according to safety regulations. It helps companies improve on-site safety management, reduce human monitoring costs, and prevent accidents caused by non-compliance.
Product Description and Workflow
1. Product Overview
The FuweeVision Smart Site Safety Management System – Workwear Detection Module is an intelligent video-based recognition solution that replaces manual supervision with AI.
It utilizes existing surveillance cameras—no additional hardware is required—to monitor workers in real time, detect violations, and trigger alerts instantly.
2. Workflow
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Front-end cameras continuously send live video streams to the central server.
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The AI system analyzes the video streams in real time.
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When a person is detected not wearing the required workwear, the system automatically captures images, saves event records, and triggers alarms either in the control room or at local devices.
System Features and Technical Parameters
(1) Workwear Detection
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Automatically detects whether personnel are properly wearing designated work uniforms.
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Supports multi-color uniform detection within the same frame.
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Allows custom color calibration and recognition range settings.
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Recognizes various colors such as red, orange, blue, and others.
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Adjustable coverage areas (e.g., full body, upper body).
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Supports color value tolerance to avoid false alarms caused by faded clothing.
(2) Alarm Function
If any non-compliance is detected, the system automatically issues an audio or visual alarm either at the central monitoring room or through on-site IP speakers, prompting immediate corrective action.
(3) Technical Specifications
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Compatible with RTSP video streams from mainstream camera brands (Hikvision, Dahua, Uniview, etc.).
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Fully automated AI analysis—no human supervision required.
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Accuracy rate: >95%.
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Adjustable detection frequency based on server configuration.
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Each workstation supports 4–40 camera channels, depending on hardware specifications.
Hardware and Operating Requirements
| Item | Specification |
|---|---|
| Camera Compatibility | Supports Hikvision, Dahua, Uniview, and other RTSP cameras |
| Installation Angle/Height | Less than 60° from the horizontal, height 2–10m |
| Server Configuration | CPU: Intel i7 (11th Gen or above); Memory: 32GB; Storage: 1TB |
| Operating System | 64-bit Windows OS (Windows 10, Windows 11, or Windows Server 2016+) |
| Processing Capacity | Up to 32 channels per server (depending on hardware) |
System Advantages
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Runs on Windows, easy to operate and deploy
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Millisecond-level recognition with adjustable analysis interval
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Supports HTTP / FTP message and file push
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Recognizes front, side, and back views from various distances (up to 100m)
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No GPU required — CPU-only operation supported
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Auto-restart and unattended mode for continuous 24/7 monitoring
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Compatible with existing cameras — no need for hardware replacement
Supported Workwear Colors and Patterns
The system supports the recognition of multiple standard colors (red, orange, blue, yellow, gray, etc.) and customizable uniform styles according to site requirements.
Application Scenarios
The Workwear Detection System can be applied in a wide range of environments:
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Construction sites (buildings, bridges, metro projects)
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Industrial factories (steel, aluminum, chemical, energy plants)
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Mining areas (coal, iron, nonferrous metal mines)
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Warehouses, logistics centers, and open work zones
Project References
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Canton Fair Phase IV Project
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Guangzhou Baiyun Conference Center Project
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Alibaba FlySky Campus – DAMO Academy Project
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Hengqin Macau New Neighborhood EPC Project
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China Railway No.7 Bureau – Lankao Beam Yard Project
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China Railway No.7 Bureau – Maoming Prefabrication Plant Project
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Huaibei Transformer Station Project (Anhui)
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Chongming Island Project (Shanghai)
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Tangshan Substation Project (Hebei)
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Zhuhai COSCO Times Huanyu Mansion Smart Site Project
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China Iron & Steel Research Institute “One Institute, One Park” Project
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Qinyang East Lake Forest Park Fire Prevention Project (Gansu)
Why Choose FuweeVision
FuweeVision specializes in AI-based video analytics for safety and compliance management.
Our algorithms are developed using deep learning and large-scale training datasets, delivering high accuracy, low false alarm rates, and plug-and-play deployment.
We help enterprises build safer, smarter, and more efficient workplaces.
🔑 SEO Metadata Suggestion
| Field | Recommended Content |
|---|---|
| Page Title | Workwear Detection |
| Slug | workwear-detection |
| Meta Description | AI-based Workwear Detection System by FuweeVision. Automatically detects workers without uniforms, issues real-time alerts, and improves safety management at construction and industrial sites. |
| Focus Keywords | workwear detection, uniform compliance AI, construction safety monitoring, PPE detection, AI safety system |
| Secondary Keywords | AI video analytics, worker compliance, industrial safety, computer vision PPE detection |

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