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Abstract: Vehicle insurance box as an important component of automobile electronic control system, its quality directly affects the performance of car.The traditional testing of vehicle fuse box mainly relies on the manual detection which is laborious,to solve this problem, this paper presents a method of vehicle fuse box online detection based on vision, which analyzes the position error between the recified production image and the standard template image. Firstly ,the algorithm of SURF and homography are used to transform the production image to a standard template position, then, using color histogram matching and template matching ,the detection is accomplished.The efficiency, stability and application value of this method used for online detection has been proved according to the experimental results.