Hard Hat Detection System

1. Background

In construction sites, mining areas, and industrial zones, safety is always the top priority. Falling objects and unsafe operations can cause serious injuries, property loss, and production interruptions. To ensure safety, workers are required to wear hard hats at all times.

However, despite regular safety training, some workers still fail to comply. Many companies still rely on manual inspections or security staff watching CCTV footage to identify violations, which is time-consuming and inefficient. Continuous monitoring is impossible for humans alone — this is where AI-powered technology becomes essential.

FuweeVision’s AI Hard Hat Detection System automatically identifies whether workers are wearing helmets through existing surveillance cameras, improving safety compliance and reducing management costs.

2. Product Overview and Workflow

FuweeVision’s AI Hard Hat Detection Algorithm uses advanced deep learning and big data technology to detect people and helmets in real time.
It achieves over 98% accuracy, supports multiple scenarios such as construction sites, factories, and industrial zones, and works without additional hardware.
The system enables real-time monitoring and local alarm functions, helping enterprises enhance safety management efficiency and reduce violation risks.

System Overview

The FuweeVision Intelligent Safety Management System is a video-based AI recognition platform that automatically detects unsafe behaviors and generates real-time alerts.
It uses existing cameras for monitoring, with flexible deployment and fast response.

Workflow

1. The front-end cameras continuously send video streams to the server.

2. The AI safety system analyzes the video stream in real time.

3. When a violation is detected (e.g., no helmet worn), the system captures images, stores evidence, and triggers alarms locally or in the control room.

3. System Architecture

The system includes:

• Front-end IP cameras (existing CCTV or new installation)

• AI video processing and detection module

• Alarm output or integration with management platform

• Optional client interface for monitoring and playback

4. Hardware Requirements

5. Product Advantages

• Runs on Windows, easy to install and operate

• Real-time detection — millisecond response speed, adjustable analysis interval

• Dual alarm modes — control room and on-site alert

• Supports HTTP/FTP push for data and event output

• Recognizes from all angles — front, side, or back views up to 100 meters

• No GPU required, CPU-only operation

• Plug-and-play — uses existing cameras, no extra hardware

• Auto restart and unattended operation supported

6. System Functions and Technical Parameters

360° Hard Hat Detection

• Detects whether personnel are wearing helmets in any direction (front, side, or back).

• Recognizes multiple people simultaneously within a scene.

• Supports all common helmet colors — white, blue, red, orange, yellow.

• Works in both indoor and outdoor environments, day and night.

• Detection rate: >95%

• Capture accuracy: >90%

• Detection range: 5–100m (depending on focal length and resolution)

Smart AI Recognition Terminal

• Supports up to 10 camera channels per mini-server.

• Each channel can run multiple AI tasks concurrently.

• Compact size, flexible deployment, and remote configuration.

7. Application Scenarios

The Hard Hat Detection and PPE Recognition system can be widely applied in:

• Construction sites (buildings, bridges, metro tunnels)

• Mining areas (coal, iron, or metal mines)

• Factories and power plants (steel, aluminum, chemical, or energy industries)

• Transportation and public works (airports, highways, urban infrastructure)

It can also integrate with other AI safety modules such as:

• Fire and smoke detection

• Smoking and phone-use detection

• Intrusion detection

• Perimeter protection

• Worker activity monitoring

• Fall detection and harness compliance

8. Example Projects

Our hard hat detection and safety monitoring systems have been deployed in dozens of major projects, including:

• Sichuan Hazardous Chemical Source Monitoring Project

• Zhongshan Power Supply Bureau 220kV Junlan Substation

• Hubei Yangtze Power Smart Safety System

• Suzhou PetroChina Informationized Safety Upgrade Project

• Chongqing Yuelai Water Plant Phase III Smart Site

• Tibet Jina Grand Bridge Construction Project

• Guangzhou Metro Lines 18 & 22

• Shantou Asian Youth Games Venue

• Xichang Power Transmission Fire Prevention Project

• Shenzhen Metro Line 14

• Yantai Penglai International Airport Phase II

• Alibaba Flysky Campus Project

• Hefei TCL Smart Safety Management Project

9. Extended Features

• Smoking detection

• Phone-use detection

• Multi-color uniform and PPE recognition

• Face recognition and attendance monitoring

• Long-distance perimeter alerting

• Fire and smoke detection

• Sleep or absence monitoring

• Inspection behavior analysis

• Fall and harness violation detection

10. Contact Us

For product demos, technical documents, or integration details, please contact us:

📧 sales@fuweevision.com
🌐 www.fuweevision.com
🏢 FuweeVision Technology Co., Ltd.