Detection System of Truck Blind Area based on Machine Vision

With the continuous development of cargo transport, road transport has become an indispensable part of the logistics industry today. Because of the multi-directional visual blind area of freight cars, drivers cannot fully observe the surrounding environment, which is prone to traffic accidents. Therefore, it is of great significance to develop a reliable and safe detection system for truck blind area for road vehicle traffic safety. In this paper, based on the machine vision technology and combined with the scientific research project, the gradient distribution of local area is extracted by HOG feature, so as to realize the detection of the accuracy and rapidity of the detection of the blind area of trucks from multiple angles and in all aspects, and timely alarm is given to provide real driving convenience for truck drivers and provide higher safety guarantee for highway traffic.