Biostar Targets Smart City and Security Markets with Launch of EdgeComp MT-N150 Edge AI System

Taiwan-based motherboard and IPC manufacturer Biostar (2399-TW) has recently launched the EdgeComp MT-N150, a compact edge computing system purpose-built for intelligent security, video surveillance, and smart city applications. This move targets the rapidly expanding edge AI market and supports system integrators in deploying localized visual computing solutions.

The new system supports multiple AI acceleration solutions, including DEEPX and MemryX, allowing project teams to flexibly select the most suitable accelerator based on inference workloads. By enabling edge computing close to cameras and sensors, it can be widely applied in facial recognition, people counting, fire and smoke detection, personal protective equipment (PPE) monitoring, and license plate recognition—significantly reducing computational burden on central servers.

On the hardware front, the system features an Intel Twin Lake N150 quad-core processor with a maximum clock speed of 3.6GHz and a mere 6W power consumption. Its compact dimensions measure just 196.5 x 193 x 45 millimeters, and it supports up to 16GB of DDR5 memory and high-speed storage slots—offering both ultra-low power consumption and space-saving advantages.

To accommodate various distributed security environments, the system supports 9–24V wide-range DC input and USB-C power delivery. It also offers comprehensive connectivity: in addition to two physical Ethernet ports, expansion slots allow integration of 4G/5G and wireless transmission modules. For video output, it supports up to three simultaneous displays, providing a highly flexible monitoring and control interface.