Waste Segregation Management Using Object Sorting Robot


  • S. Lokesh
  • S. Kiran
  • B. Vijay
  • S. B. Yuvaraaj
  • S. Yuvaraj




waste separation system, dry waste, moisture sensor, metal detector.


Every year our world are facing a huge issue in the area waste goods management. The proposed system designed as an automated   sorting of waste segregation management based on object recognition. sorting of different objects on a conveyor belt is generally carried out manually or by using sensors. In this paper we have proposed a low cost automated system which uses Arduino, moisture sensor, ultrasonic sensor, IR sensor, metal detector and a USB camera. We use Camera for detecting the object and the four different sensors are used for the sensing purposes. In addition to that a ultrasonic sensor for distance measurements and dc motor for conveyor belt applications and for sorting purpose. The system discard the objects which are not of desired object or size by pushing them out of the conveyor belt.




[1] F. Tombari and L. D. Stefano, “Object recognition in 3d scenes with occlusions and clutter by hough voting,†in 2010 Fourth Pacific-Rim Symposium on Image and Video Technology, Nov 2010, pp. 349–355.

[2] A. Cowley, B. Cohen, W. Marshall, C. J. Taylor, and M. Likhachev, “Perception and motion planning for pick-and-place of dynamic objects,†in 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Nov 2013, pp. 816–823

[3] Sumardi ; Lanang Febriramadhan ; Aris Triwiyatno “Design of color based object sorting through arm manipulator with inverse kinematics method†in2016 3rd International Conference on Information Technology, Computer and Electrical Engineering, Oct 2016.

[4] Himanshu Patel, Riya Joy, Selin Macwan, Hardik Modi, “ IOT Color Based Object Sorting Machineâ€, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 10 (2018) pp. 7383-7387 http://www.ripublication.com

[5] Yizhe Zhang, Lianjun Li, Michael Ripperger, Jorge Nicho, Malathi Veeraraghavan and Andrea Fumagalli, “Gilbreth: A Conveyor-Belt Based Pick-and- Sort Industrial Robotics Applicationâ€, 2018 Second IEEE International Conference on Robotic Computing, 2018, 0-7695-6370-8/18/31.00.

[6] A. Chandramohan, J. Mendonca, N. R. Shankar, N. U. Baheti, N. K. Krishnan, and M. S. Suma, “Automated Waste Segregator,†Texas Instruments India Educators' Conference (TIIEC), pp. 1–6, 2014.

[7] M. S. Pushpa, N. Sivakumar, A. R. Kunwar, S. K. Patel, and S. Kumar, “Design and Development of an Automatic Clustered, Assorted Trash Segregation System,†IEEE Int. Conf. Recent Trends Electron. Inf. Commun. Technol. RTEICT 2016 - Proc., pp. 409–413, 2017.

[8] R. Rajkamal, V. Anitha, P. G. Nayaki, K. Ramya, and E. Kayalvizhi, “A Novel Approach for Waste Segregation at Source Level for Effective Generation of Electricity - GREENBIN,†Int. Conf. Sci. Eng. Manag. Res. (ICSEMR), pp. 3–6, 2014.

[9] B. M. Chinnathurai, R. Sivakumar, S. Sadagopan, and J. M. Conrad, “Design and Implementation of a Semi-Autonomous Waste Segregation Robot,†Conf. Proc. - IEEE SOUTHEASTCON, 2016.

[10] C. L. Fernandes, G. B. Gonsalves, D. D. Dessai, D. S. Lotlikar, S. Cardoso, and D. Bosco, “Waste Moisture Sensing Unit for Waste Sorter Machine,†vol. 4, no. 11, pp. 557–560, 2017.

[11] M. H. Abd Wahab, A. Abdul Kadir, M. R. Tomari, and M. H. Jabbar, “Smart Recycle Bin: A Conceptual Approach of Smart Waste Management with Integrated Web Based System,†International Conference on IT Convergence and Security (ICITCS), 2014.

[12] M. Sejera, J. B. Ibarra, A. S. Canare, L. Escano, D. C. Mapanoo, and J. P. Suaviso, “Standalone Frequency Based Automated Trash Bin and Segregator of Plastic Bottles and Tin Cans,†IEEE Region 10 Conference (TENCON), 2017.

[13] P. Reis, R. Pitarma, C. Gonçalves, and F. Caetano, “Intelligent System for Valorizing Solid Urban Waste,†9th Iberian Conference on Information Systems and Technologies (CISTI), 2014.

[14] Dr. AntoBennet, M, Sankar Babu G, Natarajan S, “Reverse Room Techniques for Irreversible Data Hidingâ€, Journal of Chemical and Pharmaceutical Sciences 08(03): 469-475, September 2015.

[15] Dr. AntoBennet, M , Sankaranarayanan S, Sankar Babu G, “ Performance & Analysis of Effective Iris Recognition System Using Independent Component Analysisâ€, Journal of Chemical and Pharmaceutical Sciences 08(03): 571-576, August 2015.

[16] Dr. AntoBennet, M, Suresh R, Mohamed Sulaiman S, “Performance &analysis of automated removal of head movement artifacts in EEG using brain computer interfaceâ€, Journal of Chemical and Pharmaceutical Research 07(08): 291-299, August 2015.

[17] [17] .Dr. AntoBennet, M “A Novel Effective Refined Histogram For Supervised Texure Classificationâ€, International Journal of Computer & Modern Technology , Issue 01 ,Volume02 ,pp 67-73, June 2015.

[18] Dr. AntoBennet, M, Srinath R,Raisha Banu A,“Development of Deblocking Architectures for block artifact reduction in videosâ€, International Journal of Applied Engineering Research,Volume 10, Number 09 (2015) pp. 6985-6991, April 2015.

[19] AntoBennet, M & JacobRaglend, “Performance Analysis Of Filtering Schedule Using Deblocking Filter For The Reduction Of Block Artifacts From MPEQ Compressed Document Imagesâ€, Journal of Computer Science, vol. 8, no. 9, pp. 1447-1454, 2012.

[20] AntoBennet, M & JacobRaglend, “Performance Analysis of Block Artifact Reduction Scheme Using Pseudo Random Noise Mask Filteringâ€, European Journal of Scientific Research, vol. 66 no.1, pp.120-129, 2011.

View Full Article: