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MGI Mobility Services collaborated with the city of Plovdiv to implement an advanced Automatic Plate Detection system from moving vehicles. Leveraging cutting-edge computer vision and machine learning technologies, our team designed a solution to accurately capture and recognize license plates from moving cars, enhancing traffic monitoring and law enforcement capabilities.

Technology Stack: Computer vision, machine learning, Sentiveillance SDK, Deep Learning, NVIDIA Jetson Orin Nano, special cameras

  • Role of Ivan Dimitrov: As the CEO of MGI Mobility Services, Ivan Dimitrov led this project, applying his expertise in computer vision and machine learning to develop a cost-effective and highly efficient solution.
  • Impact: The project in Plovdiv aimed to equip the municipality’s blue zone parking vehicles with cutting-edge hardware and software for license plate detection. The system automatically identifies whether a detected license plate corresponds to a paid or unpaid parking permit. This implementation has resulted in significantly more efficient operations, reduced manual monitoring, and increased revenue generation for the city of Plovdiv.

Plovdiv municipality

Plovdiv (Bulgarian: Пловдив, pronounced [ˈpɫɔvdif]) is the second-largest city in Bulgaria, standing on the banks of the Maritsa river in the historical region of Thrace, behind the state capital Sofia. It has a population of 346,893 as of 2018 and 675,000 in the greater metropolitan area. Plovdiv is a cultural hub in Bulgaria and was the European Capital of Culture in 2019. The city is an important economic, transport, cultural, and educational center. Plovdiv joined the UNESCO Global Network of Learning Cities in 2016.

Plovdiv Municipality

The project in Plovdiv aimed to equip the municipality’s blue zone parking vehicles with cutting-edge hardware and software for license plate detection. The system automatically identifies whether a detected license plate corresponds to a paid or unpaid parking permit. This implementation has resulted in significantly more efficient operations, reduced manual monitoring, and increased revenue generation for the city of Plovdiv.

ClientPlovdiv MunicipalityYear2023AuthorMGI MSShare