Abstract
The aim of the project is to develop and demonstrate a comprehensive mobile platform for real-time bird monitoring of traffic, using unmanned aerial vehicles (UAVs) and advanced computer vision methods based on artificial intelligence within three years. The output of the project will be a system for rapid deployment and supervision of the defined area with automatic recognition of objects, their monitoring and automatic evaluation of movements. The extracted data from the image will be analyzed in order to detect non-standard behavior, congestion, violation of the defined zone and other user-defined parameters. This will be integrated into a higher level of the system for traffic situation assessment and management (partner). The system has a great potential for use in traffic monitoring (police drone) and in surveillance tasks.
Output
The output of this project was the development and creation of TrafficDrone mobile processing platform for real-time monitoring of traffic