Published November 15, 2019 | Version v1

Color Based Product Sorting Machine using IOT

  • 1. Department of Electronics and Telecommunication, Savitribai Phule Pune University, KJEI'S Trinity Academy of Engineering, Pune, Maharashtra, India

Description

Object sorting systems is one of the useful systems in today’s Industrial world. Previously, man power was utilized for this purpose but the process is time consuming when it comes to sort large number of objects in industries as human brain takes time to process images. Due to sorting operations with some technologies would reduce efforts and gives better results with lesser time. The detection of the particular colour is done by a light intensity to frequency the robotic arm is controlled by an Arduino, which controls DC servo motors. Robotic arm is a kind of programmable mechanical arm, similar to human arm. They are programmed to faithfully carry out repetitive actions with a high degree of accuracy. Outcome of this project can be stored on cloud “Tingspeak”. This is the main application of IoT where we can store the information from anywhere and anytime.

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(25-29)CE Color Based Product Sorting Machine using IOT-format.pdf

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Additional details

References

  • Akriti Kaushik, Aastha Sharma (September 2013), "RGb Color Sensing Technique", International Journal Of Advance Research In Science And Engineering, IJARSE, Volume 2, Issue 9, ISSN-2319-8354(E), Available from http://www.ijarse.com.
  • Tushar G Gaikar, Soham N Zadokar, Rajendra S Bhandari, Sagar S Patil, "Object Sorting using Color Sensor and Arduino", International Journal on Recent and Innovation Trends in Computing and Communication, Volume 4, Issue 4, pp. 483−486, ISSN:2321-8169
  • Mingwei Liu, "EEL5666 Intelligent Machine Design Lab" Available from https://mil.ufl.edu/5666/papers/IMDL_Report_S pring_11/Final%20Reports/Mingwei_Liu/Mingw ei_Liu.pdf
  • Abhishek Kondhare, Garima Singh, Neha Hiralkar, MS Vanjale (2014), "Color and Shape Based Object Sorting", International Journal Of Scientific Research And Education, Volume 2, Issue 3, pp. 553−562, SS (e):2321-7545.
  • M Anil Kumar, Dr. SAK Jilani, Mr. U Sreenivasulu, Mr. S Javeed Hussain (August 2015), "Automated Color Recognition System for Visually Challenged and Achromatopsia People using Arduino and Mobile App", International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), Volume 4, Issue 8, ISSN: 2278–909X.

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