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AI embedded system with two CAN interfaces

Axiomtek has released the AIE500-901-FL, an advanced artificial intelligence (AI) embedded system for edge AI computing and deep learning applications. The device supports two CAN or two COM interfaces.

(Source: Axiomtek)

The embedded system employs an Nvidia Jetson TX2 module which has a 64-bit ARM A57 processor; Nvidia Pascal GPU with 256 CUDA cores; and 8 GiB of 128-bit LPDDR4 memory. To withstand the rigors of day-to-day operation, the product has an operating temperature range of -30 °C to +60 °C and vibration of up to 3 Grms with its construction. According to the company, this fanless AI edge system is dedicated to achieving smart manufacturing and intelligent edge applications.

The noticeable edge computing device provides solutions as edge AI embedded system, specifically designed for video analysis, object classification, computer vision, quality control, and more. “Under the ultra-compact enclosure design, the AIE500-901-FL comes with 32 GiB eMMC onboard and is equipped with one M.2 Key M 2280 SSD slot with PCIe and SATA signal and one Micro SD slot for massive data processing and AI applications. Besides, this reliable embedded system has one full-size PCI Express Mini Card slot and one SIM slot for 3G/4G, GPS, Wi-Fi, and Bluetooth connections,” said Annie Fu, a product manager at Axiomtek.

This fanless embedded system features a diverse design of I/O interfaces, including one HDMI 2.0 port, two USB 3.1 Gen1 ports, two GbE LAN, two COM ports or two CAN ports, one OTG port, and one MicroSD port. It also offers one reset button, one power button, one recovery switch and four SMA-type antenna openings. To meet the industrial and automatic requirements, the edge AI system has a 12 VDC or 24 VDC power input. Moreover, the AIE500-901-FL bundles with Nvidia Jetpack 4.2.1 to help developers to jump-start their development environment for developing with the Nvidia Jetson platform and minimize what they need to do to develop AI-related applications. It is an ideal edge solution in AI inference, GPU computing, machine learning, image processing, the artificial intelligence of things, and other extended fields.


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