The Grinn GenioSOM-700 based PCB Failure Detection enhances quality control in PCB manufacturing by using AI-driven defect detection.
Fully integrated with robotic systems, it improves efficiency and accuracy in automated production lines. By leveraging real-time AI-powered analysis, this system detects even the most subtle defects on raw PCBs, such as trace interruptions, short circuits, and misaligned drill holes, significantly reducing production errors. The combination of high-speed processing and precision image analysis ensures that faulty PCBs are identified and addressed immediately, enhancing manufacturing reliability and minimizing material waste.
This whitepaper explores the real-world performance of the Grinn AstraSOM-1680 in edge AI applications, comparing its CPU-based inference to NPU-accelerated execution. It highlights the module’s ability to significantly boost processing speed and energy efficiency in AI-powered embedded systems — making it a compelling solution for low-power, high-performance IoT deployments.
Discover how AI-SDR revolutionizes radio signal processing by combining AI-driven modulation classification with software-defined radio (SDR) technology. This white paper details a system built on the Grinn AstraSOM-1680 that enables real-time spectrum analysis and automatic modulation identification, pushing the boundaries of wireless signal processing. Learn about its architecture, implementation, and potential applications in spectrum monitoring and wireless communication research.
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