According to the acquired video image, the appearance of the obstacle at the automatic door is analyzed, and the automatic door action is correctly controlled to achieve the purpose of preventing the pinching, thereby effectively overcoming the deficiency of the traditional anti-pinch method, and the obstacle detection technology based on automatic door video analysis is processed by image processing. Based on technology, the anti-pinch system on the DSP chip platform is built. The image preprocessing method is studied based on the image characteristics. Based on the statistical characteristics of the local pixels of the image, an adaptive median filtering algorithm is proposed to effectively remove the salt and pepper noise. Interference. For the analysis needs, the ROI region is accurately located using a normalized cross-correlation algorithm.
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