reCamera 2002W 8GB Open-Source AI Camera | Seeed Studio

Package Includes:

• 1 x reCamera 2002w 8GB
• 1 x USB Type-C Cable
• 1 x Ethernet Cable

Specifications:

Feature	Specification
AI Performance	1 TOPS @ INT8
SoC	SG2002
CPU	C906 @ 1GHz + C906 @ 700MHz
MCU	8051 @ 8KB SRAM
Memory	256MB
Video Encode	5MP @ 30 FPS
Camera Sensor	OV5647
Resolution	5M (2592 × 1944 pixels)
Chip	1/4" CMOS Sensor
Pixel Size	1.4 µm
Output Format	RAW 10
Max Frame Rate	Full size: 15 fps
Aperture	F2.8
Equivalent Focal Length	3.46 mm
Field of View	65°
Distortion	<1%
Lens Structure	5P
Storage eMMC	8GB / 64GB
Expansion	Removable TF Card (up to 2TB, not included)
Ethernet	100 Mbps
Wireless	WiFi 2.4G / 5G, BT 4.2 / 5.0
USB	USB Type-C (2.0)
Button	1x Reset Button, 1x Boot Button
Fill Light	0.3W White Light
LED Indicator	1x Power, 1x eMMC Status, 1x CPU Status (User LED)
Mic	On-board Mic
Speaker	External Speaker
Dimension	40 × 40 × 36.5 mm
Power	5V / 1A USB Type-C
Operation Temperature	-20°C to 50°C
Operation Humidity	95%

1. How to set up the reCamera 2002w AI camera module for the first time?

Connect the reCamera 2002w AI camera module to your computer via USB to power and access its onboard storage. Install the Seeed Studio drivers and flash the latest firmware using the provided tools. This pocket-sized AI camera supports MicroPython and Arduino IDE for programming. Once configured, it’s ready for Edge AI vision module applications like facial recognition or motion detection.

2. How to connect the reCamera 2002w to Wi-Fi for remote access?

Use the onboard Wi-Fi chip to connect the pocket-sized AI camera to your local network via the configuration portal or MicroPython script. Once connected, access the AI camera module remotely through a web interface or MQTT broker. This enables real-time video streaming and control for Edge AI vision tasks such as remote monitoring or smart doorbell systems.

3. How to capture and process images using the reCamera 2002w?

Use the AI camera module’s SDK or open-source libraries like OpenMV to capture and store images on the 8GB flash or microSD card. The Edge AI vision module runs lightweight neural networks directly on the device for on-device inference. Perform real-time object detection, color tracking, or QR code reading without relying on cloud processing.

4. How to integrate the reCamera 2002w with other IoT or AI systems?

Connect the Edge AI vision module to IoT platforms like Blynk, Home Assistant, or AWS IoT via Wi-Fi using MQTT or HTTP. Stream inference results or trigger actions based on visual events detected by the pocket-sized AI camera. This integration enables smart surveillance, automated alerts, or robotics navigation in standalone or networked setups.

5. How to train custom AI models for the reCamera 2002w?

Train your model using TensorFlow or PyTorch on a PC, then convert it to a TensorFlow Lite format compatible with the AI camera module. Deploy the model to the reCamera 2002w using the Seeed Studio toolchain. The Edge AI vision module executes the model efficiently for real-time inference, enabling custom applications like gesture control or anomaly detection.

6. How to power and maintain the reCamera 2002w AI camera?

Power the pocket-sized AI camera via USB-C or a connected Li-Po battery for portable use. Ensure stable voltage to avoid resets during AI inference. Regularly update the firmware from Seeed Studio to improve stability, security, and performance of the AI camera module. Clean the lens periodically and protect the device from dust and moisture during Edge AI vision applications.

• User Manual
• Data Sheet
• reCamera Github
• reCamera OS Github

1. What is the reCamera 2002W 8GB used for?

The reCamera 2002W 8GB is designed for Edge AI and computer vision applications such as object detection, robotics, IoT systems, smart automation, and AI prototyping. Its compact design, Linux-based RISC-V platform, 5MP camera, and onboard AI processing make it suitable for embedded vision projects where local processing is useful.

2. Does the reCamera 2002W support AI inference?

Yes. The reCamera 2002W provides up to 1 TOPS @INT8 performance for AI inference. It also supports YOLOv11, allowing developers to work on AI-based object detection and computer vision applications directly on the camera platform.

3. What camera resolution does the reCamera 2002W have?

The reCamera 2002W 8GB features a 5MP camera, providing image input for AI vision applications such as object detection, image analysis, and embedded computer vision projects.

4. Does the reCamera 2002W support Linux?

Yes. The reCamera 2002W uses a RISC-V SoC running Linux, providing a flexible software environment for developing and customizing AI vision applications.

5. Can beginners use the reCamera 2002W for AI projects?

Yes. The reCamera 2002W supports Node-RED for creating custom workflows with less coding, while experienced developers can use the C++ SDK and OpenCV C++ APIs. This makes the platform suitable for both learning and more advanced AI vision development.

6. Is the reCamera 2002W suitable for robotics?

Yes. The module can be integrated into robotics applications, including robotic arms and AI-powered systems. Its camera, AI inference capability, modular design, and open-source software support provide a foundation for developing vision-enabled robotic projects.

7. What makes the reCamera 2002W different from a standard camera module?

Unlike a conventional camera module, the reCamera 2002W combines a 5MP camera with onboard AI processing, Linux, YOLOv11 support, and developer tools. This allows it to perform supported AI vision processing as part of an embedded system rather than functioning only as an image-capture device.

 

Warranty Coverage:

This product comes with a 1-year manufacturer warranty from the date of purchase, covering manufacturing defects only.

Warranty Void If:

The product shows signs of physical damage, mishandling, exposure to water/moisture, fire, natural calamities, unauthorized repairs, improper storage near heat or direct sunlight, or alteration in any way.

Shipping Policy

• Free Delivery on all Orders Above Rs 999/-
• All orders confirmed before 3:00 PM IST are shipped the same day, barring rare pickup delays on holidays or disturbances.
• Delivery time in Metro cities is 1–3 days; for other locations, it is 3–7 days. Delivery varies based on location and courier service.

Return & Refund Policy

• Return window: 7 days from receipt unless stated otherwise.
• No refunds or replacements after the return window.
• Returns are accepted only for non-working or damaged products.
• Initiate return requests via a Support ticket or contact us at +91-8123057137.
• Refunds are processed within 3–4 working days after inspection and approval.