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Color Based Product Sorting Machine: a Systematic Literature Review

EasyChair Preprint no. 9186

10 pagesDate: October 28, 2022

Abstract

Color Based Product Sorting has a wide usage in many places like candy
industries, agricultural industries, etc. This system puts forward a mechanism to detect
color and sort items through image processing. Once identified a mechanism is used to
sort the candies into particular bins baskets. We here demonstrate this mechanism using
a camera with electronic circuitry along with a sorting mechanism using 3 bins. The
system uses raspberry pi connected to a controller circuit to achieve this task. The
controller circuit consists of a camera attached to it that detects the color of a small object
in front of it. A motor is used to feed an object to the camera chamber. As soon as the
color is detected a signal is sent to the sorter mechanism which uses a motor to position
the sorting tube towards the respective section. A feeder is then used to push the object
towards the tubs so that it gets sorted and the next object is pulled in by the feeder. The
action details are sent to the IOT server using the Iot gecko platform to keep track of the
number of objects sorted in each section. Thus we achieve a completely automated
sorting system

Keyphrases: Color Sorting, image processing, MATLAB, PLC, Product sorting

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:9186,
  author = {Rahul Selvakumaran and Tharun Kumaar and M Amarnath},
  title = {Color Based Product Sorting Machine: a Systematic Literature Review},
  howpublished = {EasyChair Preprint no. 9186},

  year = {EasyChair, 2022}}
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