Hard Hat Detection

Own database of examples of various hard hats
Tool for compliance with a labor protection
Improves the level of safety in production, construction, and installation work
- 01 Own Database of Helmet Samples — Incoresoft’s system is trained on a vast, proprietary dataset featuring multiple helmet types, shapes, and colors.
- 02 Real-Time Violation Alerts — Whenever the system spots someone without a hard hat, it sends an instant alert to supervisors via dashboard, email, or mobile notification.
- 03 Custom Integration Options — The AI module easily connects with existing CCTV networks, video management systems (VMS), or integrates directly into Incoresoft’s Safe City platform.
- 04 Scalable Deployment — Whether you’re monitoring a small workshop or a massive construction site with hundreds of cameras, the solution scales effortlessly.
- 05 Comprehensive Reporting & Analytics — Automatically generate daily or weekly safety compliance reports with time-stamped violations and statistics.
- 06 High Accuracy and Reliability — After conducting extensive field tests, our team found that detection accuracy consistently remains above 96–98%, even under poor lighting or weather conditions.
- 07 Multi-Language Interface and Localization — The platform supports multiple languages and regional standards.
- 08 Full PPE Expansion Capability — Start with helmet detection, then expand to recognize safety vests, gloves, or masks as needed.
What Is AI-Based Hard Hat Detection?
In simple terms, hard hat detection (also known as helmet detection AI or automatic safety helmet wearing detection) is a video analytics solution that recognizes whether a person in a camera feed is wearing a helmet.
Instead of relying on manual monitoring, the system uses deep learning models trained on thousands of real-world images of workers, sites, and equipment. These algorithms can distinguish between:
- Helmets vs. non-helmets
- Different helmet colors and designs
- Workers vs. background objects
As indicated by our tests, Incoresoft’s algorithms achieve accuracy levels above 96%, even in challenging lighting and weather conditions.
After putting it to the test in real environments — from high-rise construction projects to heavy manufacturing lines — our team discovered that AI-driven safety monitoring drastically reduces on-site incidents related to PPE non-compliance.
How Incoresoft’s Hard Hat Detection Works
01
Data Collection: The system receives video input from surveillance cameras installed on-site.
02
Object Detection: AI models detect people and classify whether each individual wears a helmet.
03
Violation Detection: If someone is detected without a helmet, the system logs the event.
04
Instant Notification: Alerts are automatically sent to supervisors via the Incoresoft VCA dashboard, email, or mobile app.
Why Businesses Need Hard Hat Detection AI
We’ve worked with multiple industrial and construction clients, and one pattern is always clear — human supervision alone can’t guarantee PPE compliance 24/7.
Our investigation demonstrated that, in high-traffic zones like loading docks, welding areas, or crane operation sites, even one missed helmet can lead to a costly accident.
With Incoresoft’s AI-powered detection system, you get:
- Automated safety compliance monitoring
- Fewer workplace injuries and penalties
- Real-time visibility into safety performance
- Higher accountability among workers
- Automated safety compliance monitoring
Ensuring Compliance with Labor Protection Laws
In many regions, labor protection laws mandate PPE usage at worksites. Non-compliance can lead to fines, shutdowns, or worse — injuries and fatalities.
The Incoresoft Hard Hat Detection system helps businesses:
- Prove compliance with OSHA and EU safety standards
- Generate audit-ready safety reports
- Keep digital evidence of rule enforcement
When we trialed this product with industrial clients, they praised how the reports simplified internal audits and external inspections.
Integration and Compatibility
The system supports both cloud-based and on-premises deployments.
Compatible with:
- ONVIF-compliant cameras
- VMS platforms (Milestone, Hikvision, Axis)
- Incoresoft VCA suite
- Custom industrial monitoring dashboards
After trying out this product across various environments, we determined through our tests that edge-based AI processing reduces latency and ensures detection accuracy even with limited network bandwidth.
Performance and Technical Details
- Detection Accuracy: up to 96–98%
- Latency: <1 second for live alerts
- Helmet Variations Supported: 12+ types, multiple colors
- Integration Protocols: REST API, SDK, or RTSP
- Scalability: From 4 to 400+ camera feeds
- Notification Methods: Email, SMS, dashboard, mobile push
Incoresoft’s solution maintains consistent reliability in outdoor and indoor settings, including areas with dust, low lighting, and reflective surfaces.
Why Choose Incoresoft
Incoresoft is a global leader in AI video analytics and computer vision software. Trusted in 35+ countries, Incoresoft’s solutions are deployed in Smart City, Industry, Retail, and Transportation sectors.
Key differentiators:
- Proprietary neural network models trained on millions of examples
- R&D-backed innovation in deep learning
- Custom integrations and local technical support
- Proprietary neural network models trained on millions of examples
FAQs
Our tests show an accuracy rate of up to 98%, even under challenging lighting conditions.
Yes, it supports detection for vests, gloves, masks, and full PPE sets.
No. The system supports both online and offline edge processing modes.
It’s compatible with major VMS and camera brands via ONVIF and API integration.
Construction, manufacturing, mining, oil & gas, and logistics — basically, any environment requiring strict safety compliance.
Yes. The platform fully complies with data protection standards and anonymizes personal data where applicable.
Implementation typically takes from 1 day to 1 week, depending on the number of cameras and system complexity.