Advantech (stock code: 2395), global leader in A-IoT, launches its comprehensive AIR series of AI inference systems, to address various AI applications including retail facial recognition, AOI/vision inspection, robotic, intelligent transportation, and more. The offerings include different featured designs to fit diverse AI applications. Advantech also provides Edge AI Suite, a software toolkit with easy-to-use graphic user interface (GUI) and pre-trained AI models to help customers enable AI inference on edge devices.
Built for Edge AI: Enables real-time intelligence on diverse applications
AIR series includes AIR-100, AIR-101 and AIR-200 which integrates Intel Movidius Myriad X VPU, and AIR-300 which supports a PCIe x16 high power graphic card. Powered by Intel® Atom® x7-E3950 CPU and one Intel® Movidius™ Myriad™ X VPU, AIR-100 supports multi-4K display and is suitable for interactive kiosks and other retail applications with facial recognition functions. AIR-101 supports DIN-Rail design and 12V~28V wide-range power input with Intel Atom® E3940 Quad Core processors and two Intel® Movidius™ Myriad™ X VPUs and is perfect for AGV and factory automation applications. For higher computing power needs, AIR-200 is an Intel® Core™ i5 platform with two Intel® Movidius™ Myriad™ X VPUs and supports up to 1080p video encoding, decoding and multi-channel processing suitable for traffic monitoring, license plate recognition and vehicle classification applications. The powerful AIR-300 supports Intel Xeon E3/ 7th & 6th generation Core i series processor and a PCIe x16 high performance graphic card to enable fast inference and on-premises training for robotics and optical inspection applications.
Accelerating AI Deployment with Edge AI Suite
The AIR series comes with the Edge AI Suite software toolkit that integrates Intel® OpenVINO™ toolkit R3.1 to enable accelerated deep learning inference on edge devices and real-time monitoring of device status on the GUI dashboard. The latest Advantech Edge AI Suite v1.2 includes an optimized pre-trained Yolov3 object detection model popular in surveillance applications which delivers 2.8x better performance on VPU than running with OpenVINO™ only. Customers can use Edge AI Suite v1.2 to execute the Yolov3 model with VPU+GPU heterogeneous acceleration to get 5x better AI inference performance than using a single device.
