Computer vision based medical waste separator

9 Pages Posted: 3 Jun 2021

See all articles by Ninad Mehendale

Ninad Mehendale

University of Mumbai - K. J. Somaiya College of Engineering (K.J.S.C.E.); Ninad's research Lab

Vrushali Sule

K. J. Somaiya College of Engineering

Chaitanya Tamhankar

K. J. Somaiya College of Engineering

Saloni Kaveri

K. J. Somaiya College of Engineering

Nilesh Lakade

K. J. Somaiya College of Engineering

Date Written: June 1, 2021

Abstract

In this study we have aimed to build an automatic computer vision based medical waste separator that detects the presence of medical waste and categorizes them into one of the four categories namely gloves, mask, syringe and cotton. This embedded system uses transfer learning on the AlexNet deep learning network to train a model which classifies medical waste. The hardware set up is designed to detect the movement of the lid of the input bin and then capture an image of the waste object dropped into the bin. This image is then fed to our trained model which classifies the object with a 86.17\% validation accuracy. Once the model classifies it, the waste object is dropped into the correct bin with the help of servo motors. This embedded system has been tested with different types of gloves, mask, syringe and cotton samples and presents a convenient way to segregate medical waste successfully. Thus this system aims to eliminate the need for manual labour to segregate hazardous medical waste and avoids harmful exposure to contaminated waste.

Keywords: Computer vision \and medical waste, waste separation,convolutional neural network, transfer learning

JEL Classification: i19

Suggested Citation

Mehendale, Ninad and Sule, Vrushali and Tamhankar, Chaitanya and Kaveri, Saloni and Lakade, Nilesh, Computer vision based medical waste separator (June 1, 2021). Available at SSRN: https://ssrn.com/abstract=3857802 or http://dx.doi.org/10.2139/ssrn.3857802

Ninad Mehendale (Contact Author)

University of Mumbai - K. J. Somaiya College of Engineering (K.J.S.C.E.) ( email )

Mumbai, MA Maharashtra 400007
India

Ninad's research Lab ( email )

M.G. Road, Naupada Thane
Thane, 400602
India

Vrushali Sule

K. J. Somaiya College of Engineering ( email )

India

Chaitanya Tamhankar

K. J. Somaiya College of Engineering ( email )

India

Saloni Kaveri

K. J. Somaiya College of Engineering ( email )

India

Nilesh Lakade

K. J. Somaiya College of Engineering ( email )

India

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