mobile platform

Processes of development of test scenarios, selection of technological means of testing hardware and software of specialized components of mobile robotic platform are analyzed. The methods and means of testing specialized components of the mobile robotic platform when operating at working clock frequencies are studied. It is improved the method of testing the hardware and software of the specialized components of the mobile robotics platform.

The problem of choosing methods for tracking recognized objects in real-time for systems with limited hardware capabilities is considered. It was determined that for such scenarios, it is appropriate to integrate tracking methods into the device, bypassing data transmission via the Internet.

Existing methods of tracking an arbitrary number of objects in real-time are considered. Among the performance evaluation metrics, the following were used: MOTA, MOTP, F1, MT, ML, ID, and FM.

The features of the most common methods and systems for searching and recognizing objects in video are explored. The research shows the feasibility of building search and recognition tools for the iOS platform in real time. The method of functional adaptation of the algorithm of search and recognition of objects to features of video is offered, which consists in processing of video image by smoothing and minimization filters, which reduces the time of search and recognition of objects. The block diagram and algorithm of system functioning were designed.