Development of Colour Sorting Robotic Arm Using TCS3200 Sensor

Color; Object detection; Robotics; Color sensors; Color sorting; Condition; Energy; Human labor; Large volumes; Light intensity; Mechanical arm; Robotic implementation; Saves time; Robotic arms

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Main Authors: Khairudin A.R.M., Karim M.H.A., Samah A.A., Irwansyah D., Yakob M.Y., Zian N.M.
Other Authors: 57204805520
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-263712023-05-29T17:09:37Z Development of Colour Sorting Robotic Arm Using TCS3200 Sensor Khairudin A.R.M. Karim M.H.A. Samah A.A. Irwansyah D. Yakob M.Y. Zian N.M. 57204805520 57216827829 57433477200 57540772700 57226750969 56352636600 Color; Object detection; Robotics; Color sensors; Color sorting; Condition; Energy; Human labor; Large volumes; Light intensity; Mechanical arm; Robotic implementation; Saves time; Robotic arms Sorting objects or products manually in industries using human labour consumes time and energy, especially when it involves large volume of products. Human sorting operations could be replaced with robotic implementation, which would save time and effort while producing better results. Robotic arm is a type of programmable mechanical arm, almost similar to the human arm which is programmed to faithfully carry out repetitive actions with a high degree of accuracy. However, creating an artificial sense of touch that is comparable to human's has been challenging. One of the challenges is the detection of objects with different colours. In this work, a light intensity to frequency converter method is used to detect colour. The robotic arm is controlled by a DC servo motors microcontroller-based system. An IoT platform is being used to monitor the detection process, especially the counting for each sorted colour block. Furthermore, the study also performed a comparison of the robotic arm indoor and outdoor efficiency. The chosen TCS3200 sensor operates by distinguishing different generated frequencies for different light intensities. It could distinguish the colours at 95% in a bright condition and 91% in a dimmer condition, based on object detection at 5 cm away from the sensor. � 2021 IEEE. Final 2023-05-29T09:09:37Z 2023-05-29T09:09:37Z 2021 Conference Paper 10.1109/ICSPC53359.2021.9689114 2-s2.0-85126759353 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126759353&doi=10.1109%2fICSPC53359.2021.9689114&partnerID=40&md5=39bb1d653aa35629f88dc302b542fc9a https://irepository.uniten.edu.my/handle/123456789/26371 108 113 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Color; Object detection; Robotics; Color sensors; Color sorting; Condition; Energy; Human labor; Large volumes; Light intensity; Mechanical arm; Robotic implementation; Saves time; Robotic arms
author2 57204805520
author_facet 57204805520
Khairudin A.R.M.
Karim M.H.A.
Samah A.A.
Irwansyah D.
Yakob M.Y.
Zian N.M.
format Conference Paper
author Khairudin A.R.M.
Karim M.H.A.
Samah A.A.
Irwansyah D.
Yakob M.Y.
Zian N.M.
spellingShingle Khairudin A.R.M.
Karim M.H.A.
Samah A.A.
Irwansyah D.
Yakob M.Y.
Zian N.M.
Development of Colour Sorting Robotic Arm Using TCS3200 Sensor
author_sort Khairudin A.R.M.
title Development of Colour Sorting Robotic Arm Using TCS3200 Sensor
title_short Development of Colour Sorting Robotic Arm Using TCS3200 Sensor
title_full Development of Colour Sorting Robotic Arm Using TCS3200 Sensor
title_fullStr Development of Colour Sorting Robotic Arm Using TCS3200 Sensor
title_full_unstemmed Development of Colour Sorting Robotic Arm Using TCS3200 Sensor
title_sort development of colour sorting robotic arm using tcs3200 sensor
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427570006130688
score 13.1944895