2022
DOI: 10.1016/j.cogr.2022.03.001
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A pneumatic conveyor robot for color detection and sorting

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Cited by 17 publications
(10 citation statements)
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“…Multiple cameras include near-infrared (NIR) hyperspectral camera [140], and Multiple sensors include ultrasonic [62], infrared [141], proximity [60], [93], and color sensors. The color sensor detects specific colors or color temperatures [60], [142]. Thermal and NIR hyperspectral cameras can be used for material classification based on the intensity profiles of different material surfaces.…”
Section: B Sensors and Recognitionmentioning
confidence: 99%
“…Multiple cameras include near-infrared (NIR) hyperspectral camera [140], and Multiple sensors include ultrasonic [62], infrared [141], proximity [60], [93], and color sensors. The color sensor detects specific colors or color temperatures [60], [142]. Thermal and NIR hyperspectral cameras can be used for material classification based on the intensity profiles of different material surfaces.…”
Section: B Sensors and Recognitionmentioning
confidence: 99%
“…These robots use advanced integrated technology incorporating control systems, smart/intelligent materials, acoustics, and chemistry at micro-/nano levels [65]. This technology incorporates main features such as repeatability, reproducibility, and controllability of 3DP along with supporting technical developments including modeling of novel 3Dstructured soft robots [66]- [68]. The primary objective of this review article is to highlight research advancements and current challenges in 4D-printed soft robotics.…”
Section: 1scope Of 4d-printed Robotsmentioning
confidence: 99%
“…Sasidhar et al [16] presented the Color Sorting Machine is controlled by a Programmable Logic Control (PLC) and SCADA-based control system. Dezaki et al [17] designed A pneumatic conveyor robot for color detection and sorting. This project aims to design and construct an automated and intelligent mechatronic conveyor system for carrying and positioning circular products in the manufacturing and packaging industries.…”
Section: Previous Workmentioning
confidence: 99%