Novel industrial robot sorting technology based on machine vision
Chenyang Li, Yibing Ma, Shiyu Wang, Feng Qiao
- 发表年份
- 2017
- 引用次数
- 9
摘要
A traditional sorting system generally adopts teaching or off-line programming. It cannot make an adjustment at once when the work environment changes. Aiming at the shortcomings of the traditional way of sorting, an industrial robot sorting system was investigated based on robot vision for Parallel robot and Cognex In - Sight 7000 series industrial intelligent camera. The system integrated the advantages of the visual system and the parallel robot system. To make some corresponding improvements of classical Canny edge detection operator, and extract the image edge information as matching feature. It overcomes the impact of illumination on the visual system. The visual system can automatically recognize position and classification information of objects when the sorting objects come into the camera view through the conveyor belt. The system significantly improves the robot's ability to adapt to the working environment, and the production efficiency, making the system more flexible. At the same time, the experimental results show that the hardware and software design of the system is correct, and it has high sorting success rate.
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