Design of Vehicle Collision Prevention System Based on Humanoid Recognition Camera
In order to improve the safety of pedestrians in urban traffic environment and prevent accidents caused by vehicle impact,this study designs and implements a collision-collision system based on advanced humanoid recognition technology and machine learning algorithm.Through the system requirements analysis,overall architecture design,key algorithm integration,software function modules and other design to ensure the high efficiency and accuracy of the system in a variety of traffic environments.Finally,the system test to verify the effectiveness of the sys-tem.The results show that the system can improve the recognition rate of pedestrians in complex environment and reduce the potential impact risk,and the research results can provide technical support for the future development of intelligent transportation system.
NETL
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