Automating battery sorting enhances efficiency, speed, and accuracy. Software and machines recognize and sort batteries by appearance or barcode, optimizing recycling processes.

Most recycled batteries come from consumer devices. These include alkaline, zinc, NiMH, NiCd, lithium, and non-rechargeable types, each with distinct uses.

An X-ray diffractogram is the measured dependence, obtained with a diffractometer, of the intensity of the scattered X-ray beam on the scattering angle.

This article examines battery sorting systems' principles, sensor-based methods, sorting techniques (e.g., machine vision, magnetic resonance), AI's role, and quality control measures. It emphasizes their vital role in recycling and environmental sustainability.