Avnet Silica to present suite of AI board solutions at embedded world 2023

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Summary

• The Renesas powered RaSynBoard always-on AI/ML wireless sensor board for smart voice-UIs and sensor-fusion applications. It features compact battery-powered accelerated Edge-AI intelligence, keyword and motion sensing using its onboard digital microphone and six-axis motion sensor • Cost-effective automated visual defect inspection solution utilising i.MX8/9 modules and onsemi`s AR0234 image sensors demonstrate AI and the complete machine learning flow from training to deployment/inference onboard for automated defect inspection use cases • A Windows 10 IoT Enterprise demo running on an NXP i.MX 8M PLUS ARM-based embedded processor, which is ideal for low-power devices supporting standard PC applications (API32) and GPU graphics acceleration • A gesture-controlled robot utilising Sensortechnik Wiedemann’s new generation of the High-Performance Platform that enables scalable and powerful vehicle control for mobile machines using AMDs Zynq UltraScale+ MPSoC family • The STM Motor Control with NanoEdgeAI Kit demonstrates the effectiveness of STM32-powered systems enabling, for example, anomaly detection for predictive maintenance applications • The RZBoard V2L runs AI inference and H.264 video encode/decode without further CPU processing. IoTConnect will showcase real-time sensor data and Avnet’s Secure Device Management (SDM) capabilities with native integration to Microchips Trust&GO hardware secure element • STMicroelectronics’ Discovery Kit for IoT Node with STM32U5 on Avnet’s IoTConnect platform for Microsoft Azure. This demo features STMicroelectronics’ STSAFE-A110 secure element for Cloud authentication and is provisioned using IoTConnect’s Secure Device Management (SDM) features • The multi-connectivity asset-tracking platform from ST Microelectronics features both short- and long-range connectivity, and a complete set of high-accuracy and machine learning sensors for environmental and motion sensing On 15th March at 5.45pm, Avnet Silica will be announcing the winning prototype from the BayStartUP competition in collaboration with AMD. The award ceremony is an open invitation for visitors to the show and will consist of a cocktail reception and a short presentation from AMD and Avnet Silica.

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