Evaluation of the Human Use for Sports Training Equipment based on Multicamera Video Surveillance

Abstract

The progress in technologies of Internet of Things (IoT) and Artificial Intelligence (AI) lead to the digitalization in various domains of human activity. In this demo, we show a digital inspector that recognizes the physical human activity with sports training equipment (mechanical simulators). We experiment with outdoor simulators produced by the MB Barbell company and located on the shore of Lake Onega in the Petrozavodsk city for free use by citizens and guests. We implemented multi-camera video surveillance system (VSS) that statistically evaluates the states of the sports equipment use such as “the simulator is occupied by a person”, “the simulator is not correctly used”, “the simulator is occupied but not in use”, etc. The evaluation is based on well-known AI methods for image recognition, which are customized for real-time inspection. The evaluated statistics for the area with sports equipment is important for the municipality to understand the efficiency of the provided public resources for well-being and comfort life.

Keywords

• digitalization of sports training equipment
• image recognition
• video surveillance system
• smart city