Open AccessResearch on Picking Identification and Positioning System Based on IOT
Author(s) -
Biqing Li,
Shiyong Zheng,
Ming Qiu
Publication year - 2018
Publication title -
international journal of online engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 18
eISSN - 1868-1646
pISSN - 1861-2121
DOI - 10.3991/ijoe.v14i07.8988
Subject(s) - computer vision , key (lock) , identification (biology) , artificial intelligence , function (biology) , computer science , automation , realization (probability) , span (engineering) , software , engineering , mathematics , mechanical engineering , statistics , botany , civil engineering , evolutionary biology , biology , computer security , programming language
The key and necessary condition for accurate picking are to identify and locate the target fruit accurately. This paper focuses on the development of picking robot, mainly through two aspects: software and hardware. Moreover, it mainly consists of the binocular vision system and the camera calibration model. Based on these two core components, it can complete the function of identification and positioning. The results show that it can accurately locate the target location in the aspect of recognition function. What is more, its error is no more than 8mm, and its picking rate is over 96%. It shows high precision and efficiency, which plays a decisive role in the realization of picking automation.