Edge AI solutions for intelligent sensors to help predict and maintain industrial systems
Industrial solutions for production
At Fraunhofer IPMS, we leverage edge computing and real-time data transmission to enable precise, on-site monitoring of industrial machinery. Our AI-supported sensor systems detect damage early, optimize maintenance schedules, and significantly reduce machine downtime.
AI-Driven Edge Computing for Smart Machine Monitoring
A live demonstrator featuring a miniaturized conveyor belt showcases the capabilities of our advanced monitoring toolbox for industrial environments. The system uses multimodal sensors to capture a range of physical signals, including acceleration, rotational speed, magnetic fields, as well as acoustic and ultrasonic waves. This allows it to accurately detect belt tension, blockages, and mechanical anomalies. AI models provide high-precision predictive maintenance, while real-time calibration ensures adaptability to dynamic operating conditions.
The system integrates proprietary sensors with a RISC-V-based edge computing platform, enabling complex AI processing directly at the point of measurement. This local processing power supports real-time decision-making, adapts to changing environments, and improves prediction accuracy, thus overcoming traditional limitations of embedded systems in time-critical applications.
Industry Partnerships
The expertise of Fraunhofer IPMS in the field of sensor technology and AI evaluation enables the continuous further development of the technology. Existing partnerships with companies such as Vetter Kleinförderbänder GmbH demonstrate the industry's interest in such solutions.