DeB-AT
Detection and separation of portable batteries from mixed waste using sensor technology and artificial intelligence
Project description
The FFG-funded research project DeB-AT deals with the detection and elimination of the pollutant - batteries in mixed waste by means of optical sensors and artificial intelligence. In cooperation with SAMsoric GmbH and Müllex-Umwelt-Säuberungs-GmbH, the AVAW Chair intends to continuously build up knowledge in the areas of AI-supported image processing.
Background and problems
The increase in the annual disposal of waste batteries, especially lithium batteries, and the increase in fires in waste treatment plants call for further innovations in fire prevention. In addition to safeguarding economic plant operation (keyword – insurance worthiness) and protecting employees in the workflow, the loss of the resource potential of batteries represents a challenge in terms of a sustainable circular economy.
DeB-AT
The DeB-AT project aims to fundamentally analyse the product diversity of batteries in terms of appearance (construction type, size, etc.) to examine the necessary requirements for optical sensor technology and hardware for the detection of batteries in mixed waste streams. Furthermore, developments in the areas of AI-supported image processing are being worked on to enable the targeted removal of batteries from mixed waste streams. The research project focuses on the development of a laboratory and pilot plant demonstrator.