The Engicam COMe 10M-ASL is a high-performance, compact Computer-on-Module designed to bring advanced intelligence and multimedia capabilities to the edge. Fully compliant with the standard COM Express® Mini Type 10 form factor (55 x 84 mm), this module is an ideal solution for demanding applications in edge AI, embedded vision, and industrial automation.
Key Specifications & Features:
– Next-Gen Processing: Powered by the Intel® Amston Lake platform (Intel Atom® x7000RE and x7000C Series) with options for 2, 4, or 8 x86 cores, delivering an optimal balance of processing power and power efficiency.
– Memory & Storage: Equipped with ultra-fast LPDDR5 memory up to 16GB running at 4800 MT/s. Mass storage starts from a robust, on-board soldered 4GB eMMC drive alongside dual SATA interfaces.
– Advanced Graphics & Edge AI: Features integrated Intel® UHD Graphics with support for OpenGL 4.6, OpenCL 3.0, DirectX 12.1, and an Intel Image Processing Unit (IPU 6), enabling hardware-accelerated machine learning and AI inference.
– Rich Multimedia & Video: Supports comprehensive video processing with capabilities for HEVC/H265, VP9, and AV1 decoding, as well as HEVC/H265 encoding. Versatile display interfaces include DP, eDP, HDMI, and LVDS to handle complex HMI layouts.
– High-Speed Connectivity: Features a 1x 2.5 Gb Ethernet interface for rapid data networking, 2x USB 3.2, 8x USB 2.0, and 4x PCIe Gen3 lanes for modular expansion.
– Industrial Durability: Engineered to withstand harsh deployment environments with an extended operational temperature range of -40°C up to +85°C (valid for the Intel Atom® x7000RE Series) and a flexible +5 to 20 VDC power supply.
– OS Support: Ready for seamless integration with industrial-grade operating systems like Ubuntu Linux and Windows 10.
With its combination of high-speed LPDDR5, advanced Intel AI graphics acceleration, and robust fanless industrial design, the COMe 10M-ASL provides a long-term available (up to 2034) platform for smart automation, medical devices, and intelligent IoT nodes.