BIOSTAR представила компактную систему EdgeComp MT-N150 для искусственного интеллекта в системах безопасности

(Auszug aus der Pressemitteilung) BIOSTAR, a leading manufacturer of edge AI computing solutions, industrial PC, graphics cards, and storage devices, today introduces the EdgeComp MT-N150, a compact edge computing system built for intelligent security, surveillance, and smart city applications. With support for AI acceleration solutions from AI NPU partners, the EdgeComp MT-N150 gives system integrators and AI solution developers the freedom to choose an accelerator platform that aligns with their AI workload, software environment, and project requirements. From facial recognition and crowd monitoring to fire and smoke detection, PPE detection, and license plate recognition, the system brings AI processing closer to where security and monitoring data is generated. CHOICE OF AI ACCELERATION FOR SMART SECURITY Powered by the Intel® Twin Lake N150 quad-core processor, with speeds of up to 3.6GHz and a 6W power profile, the EdgeComp MT-N150 delivers efficient computing performance for edge applications where low power draw and available space are important considerations. Support for AI acceleration solutions from DEEPX and MemryX enables project teams to select the accelerator best suited to their inference workload, rather than building around a single NPU ecosystem. This choice allows the EdgeComp MT-N150 to address different AI vision requirements across smart surveillance, public safety, industrial monitoring, and critical infrastructure projects. Processing AI workloads at the edge also keeps computation closer to connected cameras and sensors, reducing reliance on centralized processing for every detection task. For applications that require responsive local analysis, the EdgeComp MT-N150 provides a capable platform for bringing intelligent vision directly to the point where data is captured. SPACE-EFFICIENT DESIGN FOR EDGE DEPLOYMENT Measuring just 196.5 x 193 x 45 mm, the EdgeComp MT-N150 is designed for locations with limited installation space. Its small footprint makes it easier to integrate local computing into security installations, monitoring stations, control environments, and other distributed systems without requiring a conventional desktop-sized PC. The MT-N150 combines DDR5 memory support with versatile storage options to meet diverse edge computing requirements. It supports one DDR5 4800MHz SO-DIMM with up to 16GB of memory, alongside a SATA III interface and an M.2 Key-M 2242/2280 slot supporting PCIe 3.0 x1 or SATA for NVMe or SATA storage. For power integration, the EdgeComp MT-N150 supports a wide-range 9-24V DC input as well as USB-C PD Sink at 20V/5A, providing two practical power options for commercial and industrial installations. CONNECTIVITY BUILT FOR DISTRIBUTED SECURITY SYSTEMS The EdgeComp MT-N150 is equipped to operate across wired, wireless, and cellular network environments. An M.2 Key-B 3042/3052 slot with SIM support, featuring USB 3.2 and PCIe 3.0 x1 connectivity, enables compatible 4G/5G modules to be added for sites where cellular connectivity is required or a wired network is not readily available. An M.2 Key-E 2230 slot, supporting PCIe 3.0 x1 and USB 2.0, accommodates optional Wi-Fi and Bluetooth modules, while two GbE LAN ports provide wired connections for cameras, gateways, local networks, and other IP-based devices. These connectivity choices allow the system to be configured around the network infrastructure available at each installation site. For monitoring and control interfaces, the EdgeComp MT-N150 supports up to three display outputs through two HDMI® ports and one DisplayPort output via USB-C, enabling multi-display configurations for security monitoring, system management, and visual control applications. The EdgeComp MT-N150 is designed for projects where AI requirements and network conditions can vary from site to site. With support for AI accelerator ecosystems alongside Ethernet, Wi-Fi/Bluetooth, and 4G/5G connectivity, solution providers can configure the same hardware platform to meet the processing and communication needs of each project. Combined with its space-efficient design, the EdgeComp MT-N150 provides a practical foundation for moving AI intelligence closer to cameras, sensors, and infrastructure across smart city, public safety, and industrial monitoring systems.