High-Performance Intelligence: 5 Key Highlights of NE301

Robust Edge AI Inference

Powered by the STM32N6 MCU and ST’s Neural-ART NPU, the NE301 delivers up to 0.6 TOPS of on-device inference performance. It supports real-time execution of lightweight detection models such as YOLOv8, enabling person detection, gesture recognition, and other AI tasks without relying on cloud connectivity — minimizing latency, bandwidth use, and privacy risks.

Ultra-Low Power Consumption

Equipped with the STM32U073Kx power management chip, the NE301 supports deep sleep at just 7–8 μA and full-speed operation at 170–180 mA, with millisecond-level wake-up times. Whether powered via battery or PoE, the camera is ideal for long-term deployments in unattended or power-constrained environments.

Modular Hardware Architecture

The camera features a fully modular design, with interchangeable camera sensors (MIPI or USB), communication modules (Wi‑Fi 6 / LTE Cat‑1), power sources (USB‑C, 4×AA battery, or PoE), and housing parts. Its standardized board-to-board connectors allow developers to quickly prototype, customize, and scale into production.

Multi-Trigger Event Capture & Rich I/O Interfaces

NE301 supports event-driven AI capture triggered by PIR, radar, acoustic, and other external sensors. Hardware interfaces include:

• 16-pin GPIO header (UART, RS485, I2C, SPI, GPIO, 5V/3.3V)

• USB-C and 4-pin UART debug ports

• MicroSD slot, Audio I/O, alarm input, built-in fill light, and more This flexible interface set allows integration into a wide range of industrial and smart IoT applications.