TrafficMon® - No Helmet Violation Detection System
The principle goal of Helmet Detection System is to guarantee the safety of the people wearing them. Vehant’s no helmet detection system makes deep learning based automated system for helmet detection using trained models and datasets that would be useful in various aspects. The system is useful for public authorities in enforcing law and order, for safety management and compliance with regulations. The head is the most critical and vulnerable area of human body, use of a protective helmet is crucial for safety against fatalities.
An automated helmet detection system can distinguish person wearing a helmet from those who don’t. Vehant’s no helmet detection system makes deep learning based automated system for helmet detection using trained models and datasets that would be useful for the public authorities to enforce the law for the betterment of society, as well as others such as construction and hospitality industries to ensure compliance with regulations.
With significant increase in the number of two-wheelers used, people are more prone to accidents. A system that can act as a measure to curb such happening is a must for the authorities to enforce law and order effectively and ensure public safety. Helmet is the primary security measure for all riders however it is not utilized properly. An automated system can be a one-stop solution for motorcycle detection and classification on public roads and for automatic detection of motorcyclists and bicycle riders without helmet. The No Helmet Detection System by Vehant uses traffic images captured by cameras in real time and is capable of classifying the violators accurately.
Some of the major responsibilities for construction industry include safety management, compliance with regulations and reducing the death rate from accidents at construction sites. Detecting safety helmet-wearing in surveillance videos is an essential task for the industry to ensure those responsibilities. Vehant’s no helmet detection system makes use of neural network-based detection to recognize whether a person is wearing a helmet or not even from far. No helmet detection system uses images from surveillance cameras in real time and analyzes them for detecting helmet on head using computer vision and machine learning techniques.
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