Intelligent classification robot based on image recognition

Xiujun Bai; Xinyue Ding; Mengxing Wu

doi:10.1117/12.2592364

26 January 2021 Intelligent classification robot based on image recognition

Xiujun Bai, Xinyue Ding, Mengxing Wu

Proceedings Volume 11767, 2020 International Conference on Optoelectronic Materials and Devices; 117671M (2021) https://doi.org/10.1117/12.2592364
Event: 2020 International Conference on Optoelectronic Materials and Devices, 2020, Guangzhou, China

Abstract

Intelligent robots have the advantages of high working efficiency, fast service and access to dangerous environment. With the rapid development of intelligent robot technology, in order to solve practical problems such as garbage classification, storage management and material transfer, intelligent classification robot "Xiaobi" is designed. " Xiaobi" mainly contains RENESAS main control board, speech recognition module, image recognition module and mechanical arm module; uses speech recognition, color recognition, contour extraction, inverse kinematics analysis and other technologies. Compared with the existing classification robots, in addition to grasping and classification, it can achieve speech interaction, target recognition, QR code recognition and other functions. It has characteristic advantages such as multiple modes of operation, friendly interface and strong expansibility. It has great potential in practical application.

Citation Download Citation

Xiujun Bai, Xinyue Ding, and Mengxing Wu "Intelligent classification robot based on image recognition", Proc. SPIE 11767, 2020 International Conference on Optoelectronic Materials and Devices, 117671M (26 January 2021); https://doi.org/10.1117/12.2592364

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