Earlier, separation of waste objects was a tedious process for humans since it requires thorough identification of each object’s nature. The identification and segregation of waste products are indispensable processes. The project consists of an Image Classification section where the waste is captured with the help of Raspberry pi camera and processed in the appropriate environment to classify if the waste is biodegradable or nonbiodegradable. The classified image is set with a key and delivered to the breadboard which is connected with Raspberry pi to illuminate the LED accordingly. The untrained or unidentified object is marked with a different LED and can be left for a new training process so that the system collects the features of the particular object and be ready with a model. Following is the Waste Management System. An Ultrasonic sensor is placed at the corner to dump the waste in the corresponding bin with the help of servo motor, which contributes to swap the bins by rotating itself in 180 degrees when non-biodegradable waste is identified. The classified object is disposed in its bin which concludes both the classification and segregation processes. Manual labour is minimized through this automatic waste identification and disposal
324 Bldg Liquid Waste Handling System Functional Design Criteria
