Study on Two-dimensional Pan-tilt-Camera Platform Image Processing Based on OPENMV

A two-dimensional Pan-tilt-Camera platform image processing method has been developed for the control and automatic tracking system of moving targets. The method utilizes an OPENMV control unit and an MT9V034 camera to collect environmental images. After preprocessing, a quadrilateral detection method is employed to extract the contour of the environment edge. An improved algorithm based on spline interpolation is proposed for servo motor movement. By optimizing the path using a circular arc algorithm and predicting feedback from the control strategy, the adaptability of the algorithm is significantly enhanced, enabling it to compensate for hardware deficiencies. For target tracking, an improved algorithm based on Kalman filtering is introduced. The algorithm combines model prediction to achieve adaptability under certain conditions. Multi-object recognition is used to enhance the insensitivity of the algorithm when tracking laser targets. Through experiments conducted in various lighting environments, the algorithm exhibits good application effects below 500lux indoor illumination, with an accuracy rate of 95%.