Research on items sorting robot based on SSD target detection

To achieve the automatic classification of items and improve the sorting efficiency of the sorting robot. A design method of a robot based on color classification is proposed. The system uses an all-around Mcnamu wheeled mobile platform equipped with a Raspberry Pi 4B, an STM32 MCU, a USB monocular...

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Main Authors: Shu Manming, Li Chuan, Xiao Yongjian, Deng Jie, Liu Jinxin
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:ITM Web of Conferences
Subjects:
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_01031.pdf
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author Shu Manming
Li Chuan
Xiao Yongjian
Deng Jie
Liu Jinxin
author_facet Shu Manming
Li Chuan
Xiao Yongjian
Deng Jie
Liu Jinxin
author_sort Shu Manming
collection DOAJ
description To achieve the automatic classification of items and improve the sorting efficiency of the sorting robot. A design method of a robot based on color classification is proposed. The system uses an all-around Mcnamu wheeled mobile platform equipped with a Raspberry Pi 4B, an STM32 MCU, a USB monocular camera, and a 6-DOF robotic arm. The SSD target detection model is used to identify sorted items, and color navigation is used to locate the sorting area and complete operations such as finding, identifying, grabbing, and putting back items. The actual test results show that the robot has an average item recognition rate of 99% and a classification rate of 97.25%, which verifies the feasibility of the robot and provides a reference for research on intelligent collaboration, item classification, fast logistics, and machine vision.
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spelling doaj.art-b87e00e5773e4faf9dd4cd627369667e2022-12-22T02:40:52ZengEDP SciencesITM Web of Conferences2271-20972022-01-01470103110.1051/itmconf/20224701031itmconf_cccar2022_01031Research on items sorting robot based on SSD target detectionShu Manming0Li Chuan1Xiao Yongjian2Deng Jie3Liu Jinxin4Southwest Petroleum University, School of InformationSouthwest Petroleum University, School of InformationSouthwest Petroleum University, School of InformationSouthwest Petroleum University, School of InformationSouthwest Petroleum University, School of InformationTo achieve the automatic classification of items and improve the sorting efficiency of the sorting robot. A design method of a robot based on color classification is proposed. The system uses an all-around Mcnamu wheeled mobile platform equipped with a Raspberry Pi 4B, an STM32 MCU, a USB monocular camera, and a 6-DOF robotic arm. The SSD target detection model is used to identify sorted items, and color navigation is used to locate the sorting area and complete operations such as finding, identifying, grabbing, and putting back items. The actual test results show that the robot has an average item recognition rate of 99% and a classification rate of 97.25%, which verifies the feasibility of the robot and provides a reference for research on intelligent collaboration, item classification, fast logistics, and machine vision.https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_01031.pdfssd target detectionitems sortingcolor navigationmechanical control
spellingShingle Shu Manming
Li Chuan
Xiao Yongjian
Deng Jie
Liu Jinxin
Research on items sorting robot based on SSD target detection
ITM Web of Conferences
ssd target detection
items sorting
color navigation
mechanical control
title Research on items sorting robot based on SSD target detection
title_full Research on items sorting robot based on SSD target detection
title_fullStr Research on items sorting robot based on SSD target detection
title_full_unstemmed Research on items sorting robot based on SSD target detection
title_short Research on items sorting robot based on SSD target detection
title_sort research on items sorting robot based on ssd target detection
topic ssd target detection
items sorting
color navigation
mechanical control
url https://www.itm-conferences.org/articles/itmconf/pdf/2022/07/itmconf_cccar2022_01031.pdf
work_keys_str_mv AT shumanming researchonitemssortingrobotbasedonssdtargetdetection
AT lichuan researchonitemssortingrobotbasedonssdtargetdetection
AT xiaoyongjian researchonitemssortingrobotbasedonssdtargetdetection
AT dengjie researchonitemssortingrobotbasedonssdtargetdetection
AT liujinxin researchonitemssortingrobotbasedonssdtargetdetection