Aiming at the problems of long storage time and low encryption accuracy of the traditional agent data encryption storage algorithm in wireless sensor networks, an agent data encryption storage algorithm based on blockchain technology is proposed. Analyze the blockchain hierarchy and data, take the sensor node with the signal energy value exceeding the predetermined threshold as the source node for generating sensing data, and obtain the agent data transmission path of the wireless sensor network. Based on the obtained agent data transmission path in the data layer of data block, the agent data are encrypted by generating an encryption key and data encryption. According to the agent data encryption results, the agent data encryption storage model of the wireless sensor network is constructed. The simulation results show that the proposed algorithm has shorter storage time and higher encryption accuracy.
Aiming at the problem that the feasibility and accuracy of image measurement and analysis are reduced due to video stabilization in automobile collision experiment, a video image stabilization decision algorithm based on block matching method based on region of interest (ROI) is proposed in this paper. Firstly, in the first frame, the user selects the ROI region containing the marker identification, uses the block matching method to automatically match the ROI region features frame by frame, and estimates the motion of the video frame. And then determines whether the feature matching fails according to the motion of the video frame. When the feature matching fails, the search range can be reduced and the ROI features can be re matched to improve the matching accuracy and speed, Finally, the video frame sequence after image stabilization is output by frame reverse motion compensation according to the amount of motion. The experimental results show that the proposed algorithm can effectively reduce the video stabilization in collision experiments in the subjective evaluation and the objective evaluation of local peak signal-to-noise ratio.
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