Harnessing ai for traffic regulation
  • Home
  • breadcum arrow Blogs
  • breadcum arrow Harnessing ai for traffic regulation

Harnessing AI for Traffic Regulation

Vehant Technologies announced a significant achievement through its partnership with the Delhi Police the previous year. The esteemed law enforcement agency has chosen our smart security and surveillance solutions, opting for installing 535 Automatic Number Plate Recognition (ANPR) software at key locations throughout the city.

The AI-powered ANPR system integrates with police station control rooms, enhancing traffic surveillance by efficiently analyzing video streams to recognize and capture vehicle number plates. Over 2,000 lanes have been covered with number plate reading cameras by us to track vehicle movement in the city, particularly concerning stolen or missing vehicles.

Worldwide, computer vision algorithms are becoming indispensable tools for law enforcement agencies. These algorithms analyze real-time video feeds, identify and track people and vehicles, and help law enforcement agencies enhance public safety, investigate incidents, and respond promptly to potential security threats.

AI-based VIDS for traffic enforcement

Vehant’s technology is also being utilized by the Gurugram police, who have deployed approximately 300 state-of-the-art cameras in the city for traffic enforcement. The models detect violations such as speeding, no helmet, and tripling, among others.

The company leverages image classification, object detection, object tracking, and image retrieval algorithms to improve the accuracy in the search and retrieval of objects of reference and expedite its clients’ decision-making capabilities. Inte Processors offer power-efficient performance and enhance the computational efficiency of the product.

The models generally available are trained on generic datasets. The ones we use are application-oriented, and we customize them by training them for specific problem-solving. The models run on edge devices. Ideas are taken from the literature and developed in-house solutions with performance at par.

Our cameras are spread across 250 different lanes in Gurugram. The system detects violations, for example, someone riding without a helmet. It captures a snapshot, reads the number plate, and provides an image of the number plate. This information is bundled into a challan form and presented to the user for real-time analysis with the help of AI. However, manual intervention is involved, as law enforcement agencies are mandated by law to manually verify if the challans are accurate and whether they should be subject to a fine. Once verified, it gets integrated with the NIC database of Sarthi and Vahaan, where the information is fed, and an auto-challan is generated. So, this is a completely integrated seamless system.

Currently, around 2,000 challans are validated on a daily basis. However, the number of challans generated by AI is way higher. Our number plate scanning technology is also deployed in 50 Smart Cities across India, and the system manages close to 1 billion transactions a year.

Intel® Processors offer power-efficient performance as well as specialized capabilities. We are benefiting from the SIMD MMX instruction sets of the Core I Series processors for further improving application performance. Intel processors enhance the computational efficiency of the product.

Source:- Analytics India Mag.



Add your comments