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Aiming at the problem that the matching accuracy of the current binocular vision positioning technology of the teleoperation engineering robot is low, which leads to the positioning error is too large. After analyzing the HSV color space, a color feature recognition space system suitable for engineering robot is established. The circular light spot is determined by analyzing image features and motion coordinates. The template is created by using the provided target target, and other images with target feature are obtained by binocular vision, and the image is replaced into opencv technology function library. In the function library of OpenCV technology, the optical flow method is used to match the image. The background model of the target is separated from the image processing method. All the information of the background and interference factors are extracted. The binary threshold is used to process the shape of the moving object to realize the non-interference image display and ensure the accuracy of the positioning result. The experimental results show that the binocular vision positioning technology based on OpenCV can effectively improve the matching accuracy and reduce the positioning error, which has certain practical application value.