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NeoEyes NE301 Edge AI Camera
$179.90 – $238.00
CamThink NE301 is an event-triggered edge vision camera designed for embedded and IoT systems that need to capture images only when a physical or system event occurs, minimizing power consumption and unnecessary data.
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Overview
NeoEyes NE301 is a compact Edge Vision AI Camera built on STMicroelectronics STM32N6 MCU with an integrated NPU.
Delivering 0.6 TOPS compute with only 3 TOPS/W ultra efficiency, it performs on-device image inference such as object recognition, motion detection, and human pose estimation — all without relying on the cloud.
Its open firmware, rich I/O, and modular architecture make NE301 ideal for developers, makers, and researchers building custom vision-AI systems for IoT, robotics, and smart automation.
Key Features
Accelerated AI Vision
- 800 MHz Cortex-M55 core with integrated NPU
- 0.6 TOPS on-device inference for real–time vision tasks
- Runs YOLOv8 models at 25 FPS
- Built–in ISP, H.264, and JPEG encoder for efficient video streaming
Advanced Power Design
- μs startup and ms response for instant triggering
- Integrated STM32U073Kx power controller for ultra-low standby consumption
- Intelligent sleep / standby / high-performance power–mode switching
- Supports MQTT / RTC / Bluetooth wake-up for flexible remote control
Open & Developer-Friendly
- Open-source firmware and SDK for full customization
- Supports STM32 Cube.AI, YOLOv8n, MobileNet, EfficientNet, ResNet, and more
- Web-UI for model deployment, parameter tuning, and OTA firmware updates
- Compatible with HTTP / HTTPS / MQTT / MQTTS communication protocols
Modular & Scalable
- Supports MIPI CSI and USB camera inputs
- I/O interfaces include RS-485, I²C, GPIO, UATR and audio interface
- Expandable with PoE, Cat.1, and external sensor modules (PIR, radar, etc.)
- SD Card storage for local data AI logging and analysis
Outdoor-Ready Design
- IP67 housing with -20 °C to 50 °C operating range
- supports 4× AA battery, USB–C, or PoE power supply
- Multiple mounting brackets for flexible deployment (sold separately)
Built For
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Event-triggered image capture instead of continuous video
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Low-power edge deployment or energy-constrained systems
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Simple integration with MCU-based or lightweight host systems
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Reliable image acquisition at the edge, without always-on streaming
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Scalable deployment across distributed sensing nodes
NE301 Wi-Fi Version (Standard)
Best choice for local or connected environments
Choose the NE301 Wi-Fi version if:
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Your device operates in environments with stable Wi-Fi access
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You want fast integration and easy local testing
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Power is available or moderately constrained
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You need flexible firmware updates and debugging access
Typical use cases
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Indoor or campus deployments
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Prototyping and pilot projects
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Smart buildings and labs
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Edge systems with existing Wi-Fi infrastructure
Not ideal if
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The device will be deployed outdoors with no local network
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Connectivity must be independent of site infrastructure
NE301 Cat.1 LTE Version
Best choice for remote, distributed, or infrastructure-free deployments
Choose the NE301 Cat.1 LTE version if:
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Your device must operate without local network access
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You need wide-area connectivity via cellular networks
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The system will be deployed in remote or outdoor locations
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Reliability matters more than bandwidth
Typical use cases
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Remote monitoring and sensing
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Temporary or mobile deployments
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Infrastructure, energy, or environmental projects
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Distributed IoT nodes across large areas
Not ideal if
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You need high data throughput
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A local network connection is already available
Specification
| Processor | STM32N6 (Cortex-M55 + NPU 0.6 TOPS) + STM32U073Kx |
| Memory | 4.2 MB SRAM + 64 MB PSRAM + 128 MB HyperFlash |
| AI 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 |
What’s in the Box?
- 1× NeoEyes NE301 Camera
1 review for NeoEyes NE301 Edge AI Camera
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Dave –
Most so-called “AI cameras” on the market today are still constrained by a fundamental architectural flaw: they are essentially high-end IP cameras that offload the heavy computational work to distant cloud servers via a simple API. This design inevitably introduces operational bottlenecks — unacceptable latency for real-time applications, excessive bandwidth consumption, and, most critically, serious security concerns. Even the smallest processing tasks require uploading raw and sensitive video streams to an external server.
The strength of this product lies in its ability to run all AI inference, image capture, and processing tasks entirely on-device. This local-first approach significantly enhances personal privacy and data security. What impressed me most, however, is the level of effort put into the documentation. The guides are complete and easy to follow, making it straightforward to get started.
I plan to dig into the source code and explore possibilities for secondary development; training my own AI models also seems like an exciting direction. And by the way — they even provide references for model training, which is genuinely helpful.