AI and IoT based Garbage classification for the smart city using ESP32 cam
Keywords:
garbage, ESP32 cam, algorithm, accuracy, lossAbstract
Waste collection and segregation are some of the tasks that require immense human power and knowledge about waste materials to achieve accurate results. But with the growing population and increase in waste materials, it is becoming tougher for workers and organizations that work for waste collection to achieve perfection. To overcome the problem, the study tries to design a smart dustbin that is capable of segregating the waste materials by itself. It separates the waste into biodegradable and non-biodegradable waste. It is done using a combination of components like an ESP32 cam, an AI model, a motor, etc. This Artificial Intelligence (AI) model will be built using the CNN algorithm. The model is trained with many epochs and validated for higher accuracy and lesser loss value. The model will then be integrated into the dustbin along with other components. This dustbin is also capable of displaying the space availability of the dustbin through IoT. This results in easing the work of the workers in segregating the waste materials and looking for dustbins that are filled.
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