Two wheelers are the most common mode of transport in India, and with the number of riders on the rise there is a correlation with a rise in traffic violations such as no helmet riding that can lead to fatal head injuries. Although many cities are expanding their video surveillance network, there is a crucial need for a traffic constable to be present on the ground to record photo and video evidence of the violation. Pushpak helmet detection automates this process through AI by providing a cost-effective and manpower saving solution that is easy to setup.
Suitable evidence: vehicle identity and violation type are documented in a photo and video snippet
Trained model to differentiate between helmet and other headgear such as turban, monkey caps, beanies, etc
Configured for easy compatibility with third party databases like RTO, VAHAN, etc.
Atomized challan generation through integration with RTO challan database
Remote monitoring: Option to control and monitor the system remotely via a network connection