BaKIRoS

Battery Detection Using Artificial Intelligence, Robotics, and Sensor Fusion

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Project description

Das durch die steirische Wirtschaftsförderungsgesellschaft (SFG) unterstützte Projekt BaKIRoS setzt sich zum Ziel, durch innovative sensor- und KI-gestützte Technologie Batterien im Abfallstrom zu erkennen und auszusortieren. Zum Ausschleusen der detektierten Batterien soll eine "Kicker"-Auswurfeinheit implementiert werden. Weiters wird das Potenzial von Robotern zur Aussortierung erforscht. Bei der Detektion werden aus Projekt DeB-AT vorhandene KI-Modelle mit erweiterten Datensätzen trainiert und somit an die fortan wachsende Diversität von Batterietypen angepasst.

Background

With their ever-growing presence in Austrian households, high-performance batteries have become part of our everyday lives. If a battery is disposed of improperly after use, a practical everyday item can quickly become a potential hazard. Users are often unaware of the negative effects that an improperly disposed-of battery can have, since the fire hazard usually arises only when the battery is damaged or short-circuited. To efficiently harness the value-added potential of the battery and the respective waste stream, improperly disposed-of batteries must be sorted out of the waste.

Aims of the project

The BaKIRoS project (Battery Detection Using Artificial Intelligence, Robotics, and Sensor Fusion) aims to expand the image database with images of free-falling batteries and end-of-life electronic devices. The goal is to enhance the robustness of the models and broaden their scope of application. Furthermore, a “Kicker” discharge unit will be implemented and tested on a pilot plant scale. In the field of robotics, basic research is planned regarding cost-effectiveness and application in waste management facilities.