Panoramic Recognition Integration System Based On Electrochromic

With the gradual improvement of the integration of electronic circuits,the area occupied by circuits is correspondingly reduced,and the processing speed of systems based on embedded(such as ARM)platforms is also increasing,which provides an opportunity for the development of portable image processing equipment.At present,most research fields collect the external environment information with a single camera,but the viewing angle of a single camera is limited(generally about 80°),so there is inevitably a blind spot with a certain angle of view.When the target appears in the blind area of the viewing angle,the judgment of the image will produce a large error.To solve this problem,this paper carried out research on software and hardware,and designed and developed a panoramic recognition integration system.Combined with the characteristics of electrochromic devices,this paper proposes a scheme for panoramic recognition of visible light.Aiming at the problem that the traditional sensor has limited recognition range,this paper adopts multi-camera to realize panoramic detection.The traditional SIFT algorithm is slow in operation and low in efficiency.Comprehensive comparison using SURF algorithm.This paper focuses on the application of image stitching technology based on SURF algorithm,which realizes the requirements of image acquisition for wide field of view,and elaborates the implementation principle of SURF algorithm and the method of RANSAC algorithm for matching point purification.Using multi-resolution fusion method,the stitching seams caused by different exposure in stitching process were smoothed.In the past,in the external environment color recognition control system,only RGB color space is used for color recognition and extraction,which has some problems such as inaccurate recognition and difficult debugging.In this paper,the mosaic image is converted to HSV color space,which can recognize specific color accurately,and further improve the accuracy and algorithm stability.This paper designs and develops the entire panoramic recognition system based on the Raspberry Pi,including running programs and required hardware devices such as cameras,processing units,drive circuits,and electrochromic devices.Raspberry Pi is used as image processing unit for image stitching and recognition,then inputting the recognition result and outputting the corresponding voltage value through the driving circuit,accurately driving the color of the electrochromic device to blend with the background color,and realizing the recognition and integration of visible light.By designing contrast experiments of different typical colors,the experimental results verify that the visible light recognition integration system has good performance and stability.