CamThink AI Camera Module – built for easy integration with Edge Computing and IoT devices, running local AI models and offering smooth support for real-time streaming and beyond.
The CamThink NeoEyes NE301 is a compact, energy-efficient edge AI camera module delivering 0.6 TOPS of processing power through its STM32N6 MCU. With built-in Wi-Fi AP and a user-friendly Web UI, it’s easy to preview AI inferences, switch between model types, and tweak model settings directly from your browser.
NeoEyes NE301


Brief video introduction

Design with an open hardware architecture in mind
The camera is designed with a modular structure, enabling easy interchange of communication modules, image sensors, power options, and mounting accessories to suit various applications. With extensive interface expansion capabilities and an open hardware architecture, developers can transition rapidly from prototype development to commercial implementation.
Can be connected to external sensors
It also supports various event-triggered capture methods, including PIR, radar, acoustic, and more. When connected to external sensors, it can automatically wake, snap images, and run edge inference as soon as the trigger condition is met, enabling event-driven snapshots with built-in AI processing.
Key highlights
- Processor: Powered by an STM32N6 microcontroller with a built-in Neural Processing Unit (NPU).
- Modular design: Communication, camera, and power modules can be swapped or upgraded independently.
- Runs local AI modules (e.g., YOLO object detection).
- Durability: IP67-rated (dustproof, waterproof, outdoor-ready).
- Power Source options: four AA batteries, or alternatively by a DC, solar, USB-C, Power over Ethernet (PoE)
- Streaming: It can be used for live video streaming applications through the Web UI.
- Flexible connectivity: On-board Wi-Fi 6 included, Available as an option through the Cat-1 cellular module.
- Operation: You can access the device through a Wi‑Fi enabled phone or PC using the Web UI.
- Designed to run AI modules locally, without relying on the cloud.
- Include Pre-made AI models: Incorporate fall detection in elderly care, flood monitoring, wildlife protection, and construction site safety, all powered by locally deployed AI modules.
- Open-source stack: Thanks to its open-source software environment, developers can easily deploy their own trained models.
- Comes with plenty of rich I/O resources:
- 16 + 12-pin GPIO expansion headers
- USB Type-C for power and debugging
- TF card slot for removable storage
- Alarm/trigger input header
A closer look at the main board of the camera module
Inside the protective case, you’ll find the NE300-MB01 development board, which drives the NeoEyes NE300 series AI cameras. This reference design combines STM32U0 and STM32N6 MCUs in an ultra-low-power setup that can handle both video and still-image inference. It works with a range of trigger sensors for image capture and edge AI workflows, making it simple for developers to build proofs of concept and custom IoT camera solutions for smart agriculture, environmental monitoring, security, and wildlife tracking.


The main board packs an STM32N657L0H3 MCU paired with 64 MB of external PSRAM and 128 MB of external Flash. Power management and ultra-low-power sleep control come from the STM32U073KBU6. For connectivity, it features the SiWN917M100LGTBA Wi-Fi 6/BLE 5.4 combo chip, with optional Cat-1 cellular modules and GPIO expansions for extra flexibility. The standard kit includes an OS04C10 camera module, and USB camera modules are also available.
Here are the board’s main highlights:
- Application MCU – STM32N657L0H3 with an Arm® Cortex®-M33 core up to 800 MHz and ST Neural-ART Accelerator (up to 1 GHz, 600 GOPS, 288 MAC/cycle)
- External PSRAM – APS512XX-OBR-BG, 64 MB, up to 250 MHz, 16-bit bus
- External Flash – MX66UM1G45G SPI NAND, 128 MB, up to 200 MHz, 8-bit bus
- Wi-Fi module – SiWN917M100LGTBA with 2.4 GHz Wi-Fi 6 (IEEE 802.11 b/g/n/ax) and Bluetooth 5.4
- Camera modules – OS04C10 CSI-2 module by default, optional USB module
- Capture button – One-touch snapshot trigger
- Indicators – Blue status LED plus a 0.5 W white fill light
- Debug interfaces – ST-Link, USB, and UART headers
- Power kill switch – Slide switch to fully disconnect the battery input
- External sensor ports – Alarm IO, PIR input, and other sensor headers
- Expandable IO – SPI + I2C + UART + SAI (I2S compatible) + general-purpose GPIO
- Modem options – Cat-1 cellular module socket
Specifications
| Category | Item | Specification |
|---|---|---|
| MCU | Core | Cortex-M55 @ 800 MHz with Arm Helium vector extensions |
| NPU | Neural-ART™ accelerator @ 1 GHz, up to 600 GOPS (0.6 TOPS), real-time inference | |
| SRAM | 4.2 MB | |
| ISP Image Processor | Dedicated ISP with demosaic, auto white balance, and other preprocessing | |
| Video Codec | Hardware H.264 and JPEG encoders supporting 1080p@30 fps | |
| Efficiency | 3 TOPS/W NPU efficiency without active cooling | |
| Boot / wake-up | Microsecond boot, millisecond wake-up | |
| Main board | HyperFlash | 128 MB |
| PSRAM | 64 MB | |
| Buttons | Reset, Boot, Capture / Record | |
| Status LEDs | Power LED, system LED | |
| Connectivity | Wi‑Fi 6 / BLE | |
| Camera | USB 4-pin ×1, MIPI CSI-2 ×1 OS04C10 (default) Lens DFOV: 59°, 97°, 165° Focus distance: 2m, 3m, 4 m (adjustable) | |
| GPIO expansion (16-pin IO) | UART ×1 RS485 ×1 I2C ×1 SPI ×1 GPIO ×2 3.3 V ×1 / 5 V ×1 (power switchable) GND ×2 | |
| Debug & power | USB Type‑C ×1, 4-pin UART Wafer ×1 | |
| Audio IO | Audio Input ×1 (Wafer), Audio Output ×1 (Wafer) | |
| Expansion headers | 12-pin + 16-pin connectors for communication / sensor modules | |
| Storage | TF card (Micro SD) | |
| Mechanical & other | Power input | DC 5 V |
| Dimensions | 77 mm × 77 mm × 48 mm | |
| Operating temperature | −20 °C to +50 °C | |
| Humidity | 0% – 90% RH (non-condensing) | |
| Certifications | CE / FCC / RoHS / SRRC |
Designed for Edge AI computing, it offers durability along with water and dust resistance.
The NeoEyes NE301 enclosure is built for dependable outdoor performance and easy, versatile deployment.
- Tempered-glass lens cover: Highly transparent glass prevents water accumulation and secures long-term imaging quality outdoors.
- Outdoor-grade power & protection: Battery-powered, low-energy operation plus IP67 ingress protection suits harsh environments.
- Flexible mounting: Supports wall, ceiling, and pole mounting. Original brackets and additional enclosures are available to match different scenarios.
It can be used for AI applications, either running locally or sending data to the cloud.
The STM32N6 MCU provides 0.6 TOPS of compute, which is sufficient to run lightweight person detection, gesture recognition, and similar models locally without sending frames to the cloud. By moving workloads to the edge, NeoEyes NE301 lowers cost, latency, and privacy risk compared with traditional “device + server” architectures. Combined with low power design, easy installation, rich expansion, and IP67 protection, the camera fits long-running applications across multiple industries.
CamThink NeoEyes NE301 price
If you’re curious about CamThink products, need help with technical questions, or want to place a bulk order, just get in touch directly using the company details below.
Business inquiries contact info:
- Name: Mingming Shen
- Department: Sales Team
- Tel: +86-592-5023062 (Mobile)
- Website: https://www.camthink.ai
- Email: [email protected]
Prices and availability
If this product caught your interest like it did ours, be sure to visit the CamThink store page for the latest prices and deals.
| Category | Details |
|---|---|
| Standard Price | $199.90 |
| Pre‑Order Price | $159.90 (20% off) |
| Accessories | Mounting brackets ($8.91 – $40.50) Connectivity modules ($55.20 – $89.60) Dev kit ($59.90 → $47.92) |
| Availability | Pre‑orders open now, shipping starts December 5, 2025 |
| Policies | Global warranty, 30‑day return policy, lifetime support |
| Shipping | Free shipping for orders over $300 (import duties may apply) |


