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Home » Store » AI Cameras » NeoEyes NE301 Edge AI Camera

NeoEyes NE301 Edge AI Camera

(1 customer review)

Price range: $199.90 through $258.00

1. On-Device Vision AI for Fast PoC and Validation

Run object detection, motion analysis, and pose estimation fully on-device, and no cloud required. Built on STM32N6 with integrated NPU, delivering up to 0.6 TOPS for real-time vision validation and demos.

2.Designed to Prototype, Debug, and Iterate

Deploy models, tune parameters, and test logic via Web UI or MQTT without rebuilding firmware. Ideal for fast PoC cycles, open-source projects, teaching labs, and internal technical evaluations.

3.Open, Controllable, and Developer-Friendly

Open-source firmware and SDK with support for STM32 Cube.AI, YOLO, MobileNet, and EfficientNet. Full access to inference logs and local storage via SD card.

4.Expandable Interfaces for Real Projects

Supports MIPI CSI and USB cameras, RS-485, GPIO, I²C, UART, and audio interfaces. Modular design enables expansion with PoE, LTE Cat.1, and external sensors for custom system integration.

5.Ready Beyond Demos and Bench Tests

IP67-rated enclosure with wide operating temperature -20 °C to 50 °C. Multiple power options including battery, USB-C, and PoE, making it suitable for pilots, outdoor testing, and small-scale deployments.

Wi-Fi included in all NE301 variants.

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NE301 Early Bird $20

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CamThink NeoEyes NE301 AI Vision Camera - Event-driven vision AI device CamThink NeoEyes NE301 AI Vision Camera - Event-driven vision AI device
NeoEyes NE301 event-driven vision AI camera - Built for event-driven vision with sleep, standby, and performance modes

Built For Event-Driven Vision

Sleeps most of the time. Wakes only when events happen

Sleep

Standby

Performance

Event wake-up via MQTT / RTC / Bluetooth

NeoEyes NE301 event-driven vision AI camera mobile view - Built for event-driven vision

Built For Event-Driven Vision

Sleeps most of the time. Wakes only when events happen

Open Hardware Design

Hardware design documentation available

NeoEyes NE301 open hardware design - Hardware design documentation available

Open & Modifiable Software Stack

Source-accessible firmware & SDK Customize logic, pipelines, and AI models

NeoEyes NE301 open and modifiable software stack - Source-accessible firmware and SDK

Inspectable Local Data & Events

Inspectable local data & events SD card

NeoEyes NE301 powerful AI inference - Inspectable local data and events via SD card

Independent OTA Updates

OTA updates for firmware and AI models
Versioned, rollback-ready

NeoEyes NE301 independent OTA updates - Firmware and AI model updates with versioning and rollback

Standard Integration Interfaces

Integrate via standard HTTP or MQTT

NeoEyes NE301 standard integration interfaces - HTTP and MQTT protocol support
NeoEyes NE301

Open Hardware Design

Hardware design documentation available

NeoEyes NE301

Open & Modifiable Software Stack

Source-accessible firmware & SDK Customize logic, pipelines, and AI models

NeoEyes NE301

Inspectable Local Data & Events

Inference logs and events stored locally via SD card

NeoEyes NE301

Independent OTA Updates

OTA updates for firmware and AI models Versioned, rollback-ready

NeoEyes NE301

Standard Integration Interfaces

Integrate via standard HTTP or MQTT

NeoEyes NE301 IP67 outdoor installation - Designed to run unattended for months or years

Designed to
Run Unattended
— For Months or Years

  • IP67

  • −20 °C to 50 °C

  • Multiple mounting options

  • Power Options: 4× AA battery、USB-C、PoE

NeoEyes NE301 device - Battery life comparison between WiFi and LTE Cat.1 versions

NE301 WiFi Version

2.0-Year

Estimated Lifespan

NE301 LTE Cat.1 Version

1.5-Year

Estimated Lifespan

Test Conditions
4x AA Batteries
10 Shots / Day
Basic Mode
7 μA Deep Sleep
How long can NE301 run on batteries?
Battery life varies by configuration and usage. For low-frequency event capture, NE301 is optimized for months to years deployments, not days or weeks.
Battery Life Calculator →

NE301 System Variants

  • NE301 Wi-Fi Base Version

    NE301 WiFi Version - Best for indoor or networked environments with existing Wi-Fi
    Best for Indoor or networked environments with existing Wi-Fi
    Connectivity Wi-Fi (2.4 GHz) + Bluetooth
    Power Low-power, battery-friendly
    Mobility Medium(Wi-Fi range dependent)
    Choose this if Already have Wi-Fi and want the simplest, lowest-cost setup

    *Wi-Fi included in all NE301 variants.

  • NE301 Cat.1 Version

    NE301 LTE Cat.1 Version - Best for remote, outdoor, or infrastructure-free deployments
    Best for Remote, outdoor, or infrastructure-free deployments
    Connectivity 4G LTE Cat-1 (Data only)
    Power Low-power, optimized for long standby
    Mobility High (cellular coverage dependent)
    Choose this if Operate without local network access
  • NE301 PoE Version

    NE301 PoE Version - Best for fixed installations with continuous operation
    Best for Fixed installations with continuous operation
    Connectivity Ethernet
    Power Always-on, full-performance
    Mobility Low (wired installation)
    Choose this if need stable connectivity and continuous AI or video workloads

    Coming Late March

Expandable When Needed

Start simple. Expand only when your project grows.

NeoEyes NE301 system variants comparison - WiFi, LTE Cat.1, and PoE versions
Motherboard (front)
Motherboard (back)
Overview

Where NE301 Fits Best

Where NeoEyes NE301 fits best - Event-driven monitoring and power-sensitive edge deployments
Where NeoEyes NE301 fits best mobile view - Event-driven monitoring and power-sensitive edge deployments
Learn More
CamThink AI Tool Stack - Deploy pre-trained AI models and customize for NeoEyes NE301
AI Tool Stack Overview Deploy Your AI Model

Technical Specifications

AI Processor & Memory

MCU Core Arm Cortex-M55 @ 800 MHz with Arm Helium (M-Profile Vector Extension)
NPU Neural-ART™ Accelerator @ 1 GHz
AI Performance Up to 0.6 TOPS
SRAM 4.2 MB
HyperFlash 128 MB
PSRAM 64 MB

Power & Efficiency

NPU Efficiency Up to 3 TOPS/W
Standby Current ~7 μA (low-power mode)
Boot Time Microsecond-level boot
Wake-up Time Millisecond-level wake-up
Cooling Passive (fanless)
Power Input USB Type-C / Battery / PoE (variant dependent)
Power Ctrl Unit The STM32U073Kx further reduces N6 power consumption through independent, refined power management.

AI Software Support

Pre-installed Analytics Human detection & recognition
Model Compatibility Compatible with lightweight CNN-based vision architectures, including YOLO-family, SSD-based detectors, MobileNet-class and ResNet-class models
Audio & Time-Series YamNet, MiniResNet, Human Activity Recognition (HAR)
Custom Models Supports INT8 TFLite models (BYOM)
Model compatibility depends on architecture complexity and optimization.

Imaging System

Image Sensor 1/2.9" Progressive Scan CMOS
Camera Module 4 MP OS04C10
Max Resolution 2688 × 1520 (4 MP)
Video Encoding H.264 hardware encoder, JPEG codec
Frame Rate Up to 1080p @ 30 fps

Lens Options

2.5 mm 3.0 mm 6.0 mm
HFOV 137° 88° 51°
Aperture F2.4 F2.5 F2.2
Distortion < -33% < 1% < 1.6%

Connectivity & Protocol

Wireless Wi-Fi 6 (802.11ax), Bluetooth 5.4
Cellular LTE Cat.1 (variant dependent)
PoE Supported (variant dependent)
Protocol Stack Based on LwIP and MbedTLS
Protocol Support HTTP / HTTPS
MQTT / MQTTS

Interfaces & Expansion (Mainboard)

Alarm Interface 1 × Alarm In, 1 × Alarm Out (supports 4-pin smart PIR)
Storage Built-in MicroSD / SDHC / SDXC slot, up to 2 TB
Multi-function Button Reset / Wake / Capture
Lens Interface 1× 4-pin USB, 1× MIPI CSI-2
I/O Interfaces 1× UART, 1× RS485, 1× I²C, 2× GPIO, 2× GND, 1× 3.3 V / 5 V (controllable)
Debug / Power 1× USB Type-C, 1× 4-pin UART
Audio I/O 1× Audio-In, 1× Audio-Out
Communication Expansion 12-pin + 16-pin expansion IOs for communication modules
Power Interface 2-pin connector (Battery / USB Type-C)
Sensor Expansion Supports PIR, radar, temperature/humidity, and other sensors via motherboard I/O

Environmental & Certification

Operating Temperature -20 °C to 50 °C
Operating Humidity < 95% RH (non-condensing)
Protection Rating IP67
Dimensions 77 × 77 × 48 mm
Certifications CE, FCC

FAQ

  • Yes. The NE301 firmware is fully open-source and supports secondary development. You can access the source code and documentation on CamThink's GitHub.
  • For hardware customization tailored to your specific needs, please contact us at sales@camthink.ai

NE301 currently supports YOLOv8. The device utilizes the N6 architecture as its model adaptation foundation. We are continuously expanding the library of compatible models based on the N6 core. For a broader list of compatible models, please refer to the STM32 Model Zoo - STMicroelectronics.

We offer professional model customization services for specialized industry scenarios. Feel free to reach out for technical consultation at support@camthink.ai

No.
The Cat-1 version requires a user-provided SIM card and cellular plan.

  • Wi-Fi version relies on existing local Wi-Fi infrastructure and offers the lowest deployment cost in networked environments.
  • Cat-1 version uses cellular connectivity and is designed for remote or infrastructure-free deployments.

Both versions share the same event-triggered AI vision core and low-power architecture.

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