IOT Enabled Smart Object Sorting Machine with Real Time Monitoring

Kamalavati GudiseUnder Graduate Student, A.C Patil College of Engineering, Kharghar, University of Mumbai, Navi Mumbai, Maharashtra, IndiaPranjali KadamUnder Graduate Student, A.C Patil College of Engineering, Kharghar, University of Mumbai, Navi Mumbai, Maharashtra, IndiaSahil KaleUnder Graduate Student, A.C Patil College of Engineering, Kharghar, University of Mumbai, Navi Mumbai, Maharashtra, IndiaAditi KhandareUnder Graduate Student, A.C Patil College of Engineering, Kharghar, University of Mumbai, Navi Mumbai, Maharashtra, IndiaProf. Sangita R. NandurkarAssistant Professor, A.C Patil College of Engineering, Kharghar, University of Mumbai, Navi Mumbai, Maharashtra, India

Vol 10 No 3 (2026): Volume 10, Issue 3, March 2026 | Pages: 156-159

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 21-03-2026

doi Logo doi.org/10.47001/IRJIET/2026.103021

Abstract

The Smart Object Sorting Machine is an IoT-enabled automated system designed to classify objects based on colour and magnetic properties. Objects placed on a conveyor belt are detected using an IR sensor, triggering belt movement. A colour sensor identifies the object's colour, followed by a magnetic sensor to check magnetism. Based on the readings, a servo motor aligns the correct container for object deposition. All data, including object type, sorting time, and status, is logged and accessible remotely via mobile or laptop. The system integrates ESP32, sensors, DC motors, servos, and IoT technologies to ensure efficient, accurate, and real-time object sorting.[1]

Keywords

Smart sorting, object classification, IoT automation, ESP32, colour sensor, magnetic sensor, servo motor, DC motor, IR module, conveyor belt, solenoid, LED indicators, buzzer alert, voltage regulator, MOSFET motor control


Citation of this Article

Kamalavati Gudise, Pranjali Kadam, Sahil Kale, Aditi Khandare, & Prof. Sangita R. Nandurkar. (2026). IOT Enabled Smart Object Sorting Machine with Real Time Monitoring. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(3), 156-159. Article DOI https://doi.org/10.47001/IRJIET/2026.103021

References
  1. Krishna Jadhav, Gaurav Chaudhari, Abhishek Jadhav, Shubham Kondeka, Prof. Nagre V L, “IOT Colour Based Product Sorting Machine”. Vol 6, Issue 1, Feb 2019.
  2. Himanshu Patel, Selin Macwan, Hardik Modi, “IOT Colour Based Object Sorting Machine”. Vol 13, Number 10, 2018.
  3. Ch. Shravani, G. Indira, V. Appalaraju, “Arduino Based Colour Sorting Machine Using TCS3200 Colour Sensor”. Vol 8, Issue 6S4, April 2019.
  4. 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
  5. 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.
  6. Mingwei Liu, “EEL5666 Intelligent Machine Design Lab” Available from https://mil.ufl.edu/5666/papers/IMDL_Report_Spring_11/Final%20Reports/Mingwei_Liu/Mingw ei_Liu.pdf
  7. 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.
  8. 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.