The research and development technology field of 5G vehicle networking traffic safety mechanism project is a new information technology industry supported by the state. Artificial intelligence, vehicle networking, and intelligent transportation are the core areas of China's "national 2025 manufacturing" strategy[1]. Safety early warning mechanism plays a very important role in preventing vehicle collision accidents and improving road traffic safety. By studying the anti-collision system and safety early warning system of networked vehicles at home and abroad, focusing on the collision problem of vehicles at traffic crossings, this study proposes a vehicle collision early warning algorithm based on trajectory prediction, and establishes vehicle trajectory models, including straight-line driving trajectory model and turn-around driving trajectory model respectively[2,3]. The time and position of the collision are calculated and the threshold is set to issue the collision warning. The Matilab experiment simulation is used to evaluate the algorithm, and a visual and auditory integrated vehicle network safety warning system is designed combined with the driver characteristics and warning results.
Face recognition system based on robot scene interaction is applied in the specific scene of people's life. The life scene is rich and varied, so in order to make the robot naturally integrate into the life scene of human, it needs to enrich its scene processing ability as much as possible. In this paper, face recognition related technologies are used to realize the two scenes of meeting new friends and greeting good friends in the robot scene. Firstly, this paper introduces the practical application background of the system and the application of face recognition in the system. At the same time, it also introduces the background and development status of face recognition at home and abroad. Secondly, combined with the business requirements of the system, determine the overall architecture and module division of the system, as well as the interaction process between each module. Finally, this paper elaborates the realization process of face recognition system based on robot scene interaction, this part is the focus of this paper.
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