Surveillance cameras equipped in Sirius have identified approximately 600 offenders operating autonomous vehicles illegally
The first intelligent video surveillance system in Russia, designed to detect traffic violations by electric scooter users, has shown promising effectiveness in initial tests. This innovative system, which leverages AI-powered video analysis, is aimed at monitoring and enforcing regulations specifically for electric scooters, a mode of transport that has become increasingly popular in urban areas.
The system, currently being tested with one electric scooter rental service in Russia, has successfully identified common violations such as riding on sidewalks where prohibited, ignoring pedestrian crossings, and speeding in restricted zones. Though the exact effectiveness rate is not detailed, the deployment of this system marks a significant step in integrating smart city technology to enhance road safety and compliance for emerging transport modes like electric scooters.
The most common violations detected in the initial runs include:
- Riding electric scooters on sidewalks where prohibited, a frequent safety concern for pedestrians.
- Failing to yield or improperly using pedestrian crossings, causing conflicts with foot traffic.
- Exceeding speed limits set for scooters in certain urban zones, affecting overall traffic flow and safety.
These findings align with broader urban mobility challenges noted in major cities, including Moscow, where smart traffic management initiatives are increasingly employing AI and video surveillance to improve safety and efficiency.
So far, over 600 warnings have been issued by the system, with only 2% of users being repeat offenders. Riding double, or using a scooter with more than one rider, is committed by 7% of scooter users.
The experiment on the intelligent video surveillance system for traffic violations involving electric scooter rental services will continue until the end of 2025. Specialists are working on adding new features to the system, and other electric scooter services are being considered for integration. The system is planned to be fully operational by 2026.
According to the federal territory's press service, the effectiveness of the system has already been proven. This pioneering system in Russia demonstrates the utility of AI-integrated video surveillance for regulating new urban mobility devices, providing a valuable model for other cities grappling with similar challenges.
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The innovative electric scooter surveillance system, a blend of data-and-cloud-computing technology, is designed to enforce regulations and ensure safety in urban areas, specifically focusing on electric scooters. This system, which uses AI-powered video analysis, has demonstrated promising effectiveness in identifying common violations like riding on sidewalks, improper pedestrian crossing, and speeding in restricted zones. [Source]
