AD-MIC-711-OX

• Utilizes AI image monitoring to provide real-time images of various parts of the blades through camera installation.
• Image data is inputted in real-time into the AI system, which issues rapid alarms for issues like ice accretion, cracks, and fractures.

Chinese wind turbine equipment manufacturers have developed highly accurate AI models. The precision of ice accretion detection is over 95%, crack detection accuracy exceeds 95%, and lightning strike recognition accuracy surpasses 80%. Once an issue is detected, the AI inference system immediately issues a warning for prompt maintenance.

The AI visual inspection system is compact, allowing customers to directly install it in existing wind power equipment to optimize wind turbine efficiency without the substantial costs deriving from purchase of new large-scale equipment.

AD-MIC-711-OX leverages the NVIDIA Jetson Orin NX module to deliver AI performance with up to 100 trillion operations per second (TOPS) to the edge. Jetson Orin NX is smaller than a credit card and uses minimal power (10 ~ 25W). It provides 3 x the computing power efficiency of the NVIDIA Jetson AGX Xavier module, and 5 x that of Jetson Xavier NX. It can run multiple neural networks in parallel, and process data from myriad high-resolution sensors simultaneously.