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    基於機器視覺的機械臂雙目測距系統研究

    Research on Manipulator Binocular Distance Measurement System Based on Machine Vision

    • 摘要: 針對工業機器人在非接觸式的工作環境下獲取目標三維信息的潛在問題,設計出了一套基於機器視覺的機械臂雙目測距系統🛻。該系統采用Matlab和OpenCV對CMOS雙目工業相機進行雙目標定,並根據標定得到的相機內外參數進行立體校正🧌,然後結合雙目視覺的SGBM立體匹配算法計算出相應環境下的深度信息🦹‍♀️,最後利用二維圖像和深度信息輔助機械臂控製中心獲取目標工件的三維信息並作出相應命令操作。根據實驗分析🍘,該測距系統測量時間短🙍🏿‍♂️♎️、魯棒性好、測量精度高。

       

      Abstract: In order to enable industrial robots to acquire target 3D information in a non-contact working environment, a manipulator binocular distance measurement system based on machine vision was designed. The system uses Matlab and OpenCV to calibrate the CMOS binocular industrial camera and perform stereo calibration according to the internal and external parameters of the camera, and then calculate the depth information in the corresponding environment by combining the SGBM stereo matching algorithm of binocular vision. Finally, the 2D image and depth information are used to assist the robot arm control center in obtaining the 3D information of the target workpiece and making the corresponding command operation. The experimental analysis indicates that the ranging system has short measurement time, good robustness and high measurement accuracy.

       

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