Classification, Collection, and Notification of Medical Waste Using IoT Based Smart Dust Bins

Abstract

Hospitals generate a significant amount of highly hazardous medical waste. Waste collectors were now responsible for the majority of waste separation. Currently, hazardous medical waste, including substrate materials, syringes, and other items were separated manually, causing serious problems. Automatic waste separation is proposed for the separation of biowaste produced in hospitals. When waste disposal is identified, the treadmill is moved by an external motor. These wastes would be sent to the Sensing and Classification Units. The source image is captured, preprocessed, median filtered, contrast adjusted, and then classified in five steps. After the steps, the outcome would be assessed using the characteristics collected from the Grey Ordered Model (GOM) and transferred to the trash after the separation procedure. To determine the level of waste in dustbins, an infrared sensor, a moisture sensor, a pressure sensor, and an ultrasonic sensor are used.