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In Gurgaon, AI-enabled CCTVs to track those not wearing helmets, seatbelts

AI-assisted CCTV cameras will now help traffic authorities in Gurgaon track down motorists without helmets and those traveling on the wrong side.

Officials from the Gurugram Metropolitan Development Authority (GMDA) said 50 of these CCTV cameras fitted with 5MP resolution automatic license plate recognition (ANPR) cameras, which use optical character recognition to read license plates, were installed at the main intersections of the city. , and several points along the Delhi-Gurgaon National Highway.

The decision to install AI-equipped cameras was made after the GMDA received reports from traffic police of an increase in the number of fatalities, particularly among drivers of two-wheelers driving without helmet and driving upside down.

“Using artificial intelligence, cameras will be able to detect violations and automatically issue a challan. It will record photographs and read vehicle registration data for the specific violation and after verification it will be sent for dispute. live from these cameras will be monitored by the traffic police team in the integrated command and control center of the GMDA office and traffic tower,” a GMDA official said.

While AI-enabled cameras will automatically issue challans for driving without a helmet and using the wrong side, manual intervention will be required for seat belt violations, officials said. “Seat belt violations will be tracked manually. The cameras were fitted with magnifying glasses to process the images for clarity. If someone is not wearing a seatbelt, the camera image will be used to focus on the offender and their license plate. For wider roads, the ANPR camera will not be effective due to the high volume of traffic, but on two-lane roads, it would be easier to spot such violations,” a GMDA official said.

The decision to install these CCTVs “will reduce reaction time and man-hours, and allow traffic violations to be tracked more efficiently compared to manual monitoring,” the official said.

“In the week since the technology was introduced, the results have been encouraging. With machine learning it is possible that there is a differential of error because no system is 100% accurate, but we are putting in place a system for checking challans,” the official said.

Sudhir Rajpal, CEO of GMDA, said, “We are working to expand the traffic monitoring network in the city.”

Sources said the GMDA plans to install additional AI-enabled CCTV cameras to detect license plates when speeding. Earlier last week, GMDA had identified more than 38 places where maximum contraflow driving violations occur in Gurgaon.

“Locations are mapped via these CCTV cameras and have been integrated with National Computing Center (NIC) data so that an automatic e-challan can be generated after tracking the license plate of the vehicle violating the rule of traffic involved,” PK said. Aggarwal, Advisor, Smart City, GMDA.

“Residents can now track and pay for all their traffic violation challans through GMDA’s ‘myGurugram’ app. Simply enter their vehicle number along with the engine number or chassis number from the car to view their challans details and pay them through this app,” Aggarwal added.

During Phase 2 of the CCTV installation, 2,722 cameras will be installed at 258 locations across the city, including 47-point facial recognition cameras, the GMDA announced recently. In phase 1, more than 1,100 cameras were installed.

In Delhi, currently, there are two types of cameras that have been installed by the traffic police: Speed ​​Exceeding Detection Camera (OSVD) and Red Light Violation Detection Camera (RLVD).

These cameras, along with more than 155 special CCTVs, help police capture speeding, red light and parking violations, and accident cases. Seat belt and helmet e-challans are issued manually on the road.