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Project

Traffic police in Moscow will have access to all traffic cameras from a working tablet

Customers: Center for Traffic Management of the Moscow Government (GKU Data Center)



Project date: 2021/10
Project's budget: 180 million руб.

Traffic police officers in Moscow will have access to all traffic cameras from a working tablet. The city hall will spend 180 million rubles to develop the corresponding software.

As To the businessman told "" in the Moscow Center for Traffic Management TSODD (), a tender was announced on the public procurement portal for the modernization of the "automated photo and video recording of violations."

The application will allow you to track and stop cars that are wanted, as well as cars taken off the register and registered for deceased Russians.

Traffic police in Moscow will have access to all traffic cameras from a working tablet

The program will connect to any traffic cameras. The data center explained that by mid-October 2021, automatic complexes that are installed on the camera recognize a suspicious car on the road and transmit information to the center from which it comes to traffic police. The data center emphasized that this takes too much time.

In addition, the data center wants to more actively apply the capabilities of the neural network. It is assumed that the camera will be able to recognize even cars with a partially closed license plate through comparison and analysis of all available data, including the region, brand and color of the car. Finally, the data center wants to get software that allows you to exclude double fines from cameras for one violation.

According to the coordinator of the Blue Buckets movement, Pyotr Shkumatov, if inspectors connect to the cameras and work addressably for specific machines, the benefits of this will be much more than sending 500 automatic fines to the void.

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Law-abiding drivers should, by and large, be left alone and deal only with such violators, "he said and added that the success of the modernization of the Interception system will depend on the number of employees who learn to work with new software and devices.[1]
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