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Built for Edge. Ready for Anything.
25 FPS
YOLOv8
Efficient AI at the Edge
Efficient AI at the Edge
Efficient AI at the Edge
Firmware
Tools
API
SDK
Open
Ecosystem
Low Power
Instant Response
Modular Integration
Customize Your Sensing System
600 GTOPS
Performance
Flexible Power ·
Deploy Anywhere
Built for Edge.
Ready for Anything.
Efficient AI
at the Edge
25 FPS YOLOv8 at
3 TOPS/W
600 GTOPS
Performance
Low Power
Instant Response
Modular Integration
Customize Your
Sensing System
Open Ecosystem
- Firmware
- Tools
- API
- SDK
Flexible Power ·
Deploy Anywhere
Deploy AI models fast
Update AI models locally or remotely across devices. Manage staged rollout and rollback via Web UI / API.
Model deploy guide
Remote wake,
instant response
Independent STM32U0 power hub with Sleep / Standby / Performance modes and wake via RTC, GPIO, UART/RS485, BLE, or MQTT.
Power Mode
Built for the field
-20~50 °C, 0–95% RH. Compact size with multiple mounts. Power via 4×AA / PoE / Solar / Type-C.
Accessories
Plug-and-Play
Power Mode
Model Deployment
Connect & Install
Pick Your Field of View
Connect via MIPI-CSI or USB, with selectable 51° / 88° / 137° FOV to match distance and coverage, ensuring correct framing and image quality.
Quick Start
Power Mode
Choose Sleep / Standby / Performance mapped to your scenario, with remote wake via RTC, GPIO (PIR/radar), UART / RS485, BLE, MQTT.
Quick Start
Model Deployment
Import AI models in Web UI, validate on live feeds, then run on-device image/video inference locally or via OTA with staged rollout and rollback.
Quick Start
Connect & Install
Connect via Cat.1, PoE, Wi-Fi 6, and secure MQTT/HTTPS with TLS for easy site installation.
Quick Start
Deploy Your AI Model
Import AI models in Web UI, validate on live feeds, then run on-device image/video inference . Deploy locally or via OTA with staged rollout and rollback.
Model deploy guide
Remote wake,
instant response
Choose Sleep / Standby / Performance mapped to your scenario, with remote wake via RTC, GPIO (PIR/radar), UART / RS485, BLE, MQTT.
Power Mode
Built for the field
-20~50 °C, 0–95% RH. Compact size with multiple mounts. Power via 4×AA / PoE / Solar / Type-C.
Accessories
Plug-and-Play
Accelerated Edge AI Deployment
From concept to reality, leverage NE301's open ecosystem to rapidly build high-impact AI applications.
-
Smart Vision Node
Use NE301 as a standalone edge AI camera for image or video tasks. Switch between real-time video inference and low-power detection — all on the edge.
Setup:1× NE301
-
Sensor Fusion Hub
Deploy NE301 as a local Wi-Fi hub to fuse data from PIR, radar, or environmental sensors. Combine sensor triggers with image analytics and send real-time results via MQTT or HTTP.
Setup:1x NE301 + 2-3 Sensor (PIR / Radar) + Wi-Fi / Cat.1
-
Mobile Vision System
Integrate NE301 into DIY robots for real-time navigation, tracking, or gesture control. Open, low-power, and fully programmable for mobile prototypes.
Setup:1× NE301
Accelerated Edge AI
Deployment
From concept to reality, leverage NE301's open ecosystem to rapidly build high-impact AI applications.
Smart Vision Node
Use NE301 as a standalone edge AI camera for image or video tasks. Switch between real-time video inference and low-power detection — all on the edge.
Setup:
1× NE301
Sensor Fusion Hub
Deploy NE301 as a local Wi-Fi hub to fuse data from PIR, radar, or environmental sensors. Combine sensor triggers with image analytics and send real-time results via MQTT or HTTP.
Setup:
1x NE301 + 2-3 Sensor (PIR / Radar) + Wi-Fi / Cat.1
Mobile Vision System
Integrate NE301 into DIY robots for real-time navigation, tracking, or gesture control. Open, low-power, and fully programmable for mobile prototypes.
Setup:
1× NE301
Smart Vision Node
Use NE301 as a standalone edge AI camera for image or video tasks. Switch between real-time video inference and low-power detection — all on the edge.
Setup:
1× NE301
Sensor Fusion Hub
Deploy NE301 as a local Wi-Fi hub to fuse data from PIR, radar, or environmental sensors. Combine sensor triggers with image analytics and send real-time results via MQTT or HTTP.
Setup:
1x NE301 + 2-3 Sensor (PIR / Radar) + Wi-Fi / Cat.1
Mobile Vision System
Integrate NE301 into DIY robots for real-time navigation, tracking, or gesture control. Open, low-power, and fully programmable for mobile prototypes.
Setup:
1× NE301
Specifications
| Core | Cortex-M55 @ 800 MHz, Arm Helium (M-Profile Vector Extension) |
| NPU | Neural-ART™ accelerator @1GHz, up to 0.6 TOPS AI inference |
| SRAM | 4.2 MB |
| ISP | On-Chip ISP with demosaicing, AWB |
| Vido Codec | H.264 Hardware encoder, JPEG codec, supports 1080p@30fps |
| NPU Efficiency | 3 TOPS/W, fanless |
| Boot / Wake Time | Microsecond boot, Millisecond wake-up |
| Power Ctrl Unit | The STM32U073Kx further reduces N6 power consumption through independent, refined power management. |
| HyperFlash | 128 MB |
| PSRAM | 64 MB |
| Buttons (On-board) | 1x Reset、1x Boot、1x Snapshot / Recording |
| Indicators (On-board) | 1x Power LED (PWR)、1x Status LED (STS) 、1x Debug LED |
| Communication | WiFi6 / Bluetooth 5.4 |
| Lens Module | 1x 4-Pin USB、1x MIPI CSI-2 |
| I/O Interfaces | 1x UART、1x RS485、1x I2C、2x GPIO、2x GND、1x 3.3V / 5V (controllable) |
| Debug/Power | 1x USB Type-C、1x 4-Pin UART |
| Audio I/O | 1x Audio-IN 、1x Audio-OUT |
| Communication Expansion | 12-Pin + 16-Pin expansion IOs for communication modules |
| Power Interface | 2-Pin Connector (Battery / USB Type-C) 4MP OS04C10 / USB Camera Module |
| Camera Module | 4MP OS04C10 / USB Camera Module |
| Sensor Expansion | 2-Pin Connector (Battery / USB Type-C) |
| Power | 5V DC-In |
| Operating Temperature | -20°C ~ 50°C |
| Ambient Humidity | 0–95% RH (non-condensing) |
| Dimensions | 77 x 77 x 48 mm |
| Certification | CE / FCC / RoHS / SRRC |
Specifications
| Processor | STM32N6 (Cortex-M55 + NPU 0.6 TOPS) + STM32U073Kx |
| Memory | 4.2 MB SRAM + 64 MB PSRAM + 128 MB HyperFlash |
| Al Performance | 600 GOPS |
| NPU Efficiency | 3 TOPS / W |
| Camera Input | MIPI CSI / USB |
| Connectivity | Wi-Fi 6 / BLE 5.4 |
| Storage | SD Card (Excluded) |
| Operating Temp | -20 °C ~ +50 °C |
| Protection | IP67 |
| Power supply | 4×AA battery / PoE / DC input |
| Dimensions | 77 × 77 × 48 mm |
Resources
Resources