Embedded Real-Time Detection of Vehicles and Pedestrians Based on Minimal Networks

Abstract

The safety and security of vehicles and pedestrians have always been a topic of high social concern. Since the safety awareness of vehicles and pedestrians is generally low nowadays, there is no relatively perfect and systematic method to guarantee that they can share information among themselves efficiently. As the number of vehicles and pedestrians continues to increase, ensuring their safe operation has become an important and real issue in today's society. To ensure traffic order in unsupervised areas, it is necessary not only to be intelligent in management but also to have a comprehensive safety system to ensure that pedestrians and vehicles can share information and ensure traffic order. At present, the road management department has taken relatively effective measures to deal with these accidents, first of all, it is necessary to strengthen the construction of road safety facilities and also to improve the road transport vehicle detection capacity, to be able to timely detect the existence of safety hazards between vehicles and pedestrians, then reduce the possibility of accidents through technical means. Second, improve the ability to detect road safety facilities so that when accidents occur, it can detect the accident in time and take effective measures. Finally, improve the safety measures between vehicles and pedestrians in the road enforcement department, to effectively ensure that information can be shared between pedestrians and vehicles, thus reducing the possibility of traffic accidents.