Product overviewThe Edge AI SoM computing module delivers scalable AI acceleration and multimedia processing for security, industrial automation and smart IoT at the edge. Built for real-time video analytics, predictive maintenance and autonomous decision-making, it combines a multicore CPU with a dedicated NPU in a compact, low-power System-on-Module form factor.
Core advantages- Faster development & lower hardware cost: up to 69% reduction in development cycles and ~30% lower hardware expenditure; first vision prototype in ~30 minutes with preconfigured images.
- Plug-and-play prototyping: UVC (USB Video Class) support allows immediate recognition as a standard USB camera without additional drivers, simplifying integration and testing.
- Flexible integration: wide OS and toolchain support (Linux/Android/RTOS) and common I/O make it adaptable to existing industrial and security stacks.
Technical specificationsProcessor: Multicore CPU + dedicated NPU (AI accelerator)
AI performance: 2.0–10+ TOPS (scalable by model)
Video: 4K@60fps hardware codec (H.265/H.264)
Memory/storage: LPDDR4x 2/4/8 GB; eMMC 16/32 GB
Vision input: Multi-lane MIPI-CSI (dual/triple camera support)
Connectivity: Gigabit Ethernet, WiFi 6, Bluetooth 5.2, optional 5G/LTE
I/O: PCIe, USB 3.0, UART, I2C, GPIO, CAN Bus
OS: Linux (Ubuntu/Debian), Android, specialized RTOS
Typical applications- Real-time video analytics for security and perimeter monitoring
- Predictive maintenance and condition monitoring in industrial automation
- AI-enabled IoT gateways and edge vision for smart cities