How Does Helmet Identification API Work?
Our helmet detection system detects each helmet in an image and localizes it with a bounding box. Helmet Detection system detects whether a person is wearing a safety helmet or not.
The helmet detection model is based on deep learning algorithms. The experiment results show that the given AI model has achieved rather good performance. It can identify safety helmets with high accuracy and speed, sending in-time reminders in case of failure of wearing a safety helmet for construction workers.
A very important application of the technology is the detection of helmetless scooter, bike, and motorcycle riders to protect riders from head injuries in case of an accident. The system is based on a mobile app where riders take a helmet selfie, send the photo via the app to get access to shared scooters/bikes/motorcycles.
Our helmet detection technology may also be effectively used on construction sites, where everyone is supposed to be wearing a helmet for protection. Thus, integrating this technology will decrease the risks of accidents on construction sites.
The input is an image.
The API returns the following:
Value – Indicates that it has detected a helmet. Returns:
Probability – The confidence level of the detection model
Rectangle – The coordinates of the helmet or person not wearing a helmet in the image