Waste & Recycling

WM Automation, as part of the WICB Group, collaborates with our sister company, Whittam Mills Engineering Ltd, to provide advanced machinery and systems tailored for the waste and recycling industry. With a proven track record, Whittam Mills specializes in designing, manufacturing, supplying, and servicing reliable and robust equipment to meet diverse recycling needs.

Whittam Mills offers a comprehensive range of solutions, including:

Semi-Automatic Balers: Efficient and user-friendly systems for processing various waste materials.

Fully Automated Baling Systems: High-capacity equipment designed for continuous operation and optimized productivity.

MRF (Material Recovery Facility) Systems: Turnkey solutions for sorting, processing, and recovering recyclable materials.

Custom Conveyors: Durable, high-performance conveyor systems designed for seamless material handling.

Robotic Waste Picking Systems: Robotic Waste Picking systems use advanced automation, AI-driven vision technology, and robotic arms to efficiently identify, sort, and handle waste materials. These systems are commonly used in recycling plants, waste management facilities, and industrial sorting operations to improve efficiency, reduce labour costs, and enhance recycling rates.

Equipped with high-speed cameras and machine learning algorithms, robotic waste pickers can quickly recognize different materials such as plastics, metals, paper, and organic waste. They use suction grippers, mechanical claws, or specialized robotic arms to pick and sort items with precision, ensuring proper separation for recycling or disposal.

By automating the waste sorting process, these systems improve accuracy, increase recovery rates of recyclable materials, and reduce human exposure to hazardous waste. They also help waste management companies meet sustainability goals and optimize overall operational efficiency.

AI Vision Systems: AI Vision systems for waste sorting use advanced cameras, sensors, and machine learning algorithms to identify and classify waste materials in real-time. These systems analyse shapes, colours, textures, and material compositions to distinguish between recyclables like plastics, metals, and paper. Integrated with robotic or automated sorting mechanisms, AI Vision enhances accuracy, speeds up processing, and reduces contamination in recycling streams. By improving sorting efficiency, these systems help increase recycling rates, lower operational costs, and support sustainability efforts.