Hands-On Deep Learning for IoT

Use case two – image-based smart solid waste separation

Solid waste is a global challenge. The management of solid waste is expensive, and improper waste management is also seriously impacting the global economy, public health, and the environment. Generally, solid waste, such as plastic, glass bottles, and paper, are recyclable, and they need an effective recycling method to become economically and environmentally beneficial. However, in most countries, the existing recycling processes are done manually. In addition, citizens or consumers often become confused about the recycling method.

In this context, IoT with the support of machine learning and deep learning, especially image-based object recognition, can identify the type of waste and ...