reCamera 2002w 8GB -Open-Source Pocket-Sized AI Camera Module -Seeed Studio

The reCamera 2002w 8GB from Seeed Studio is a powerful pocket-sized camera designed to accelerate AI vision development.

As an open-source camera module, it leverages a RISC-V SoC running Linux, delivering 1 TOPS @INT8 performance for efficient and fast AI inference.

Featuring a 5MP camera and pre-installed YOLOv11, the reCamera enables rapid deployment of AI-based object detection and vision applications.

Its modular design makes it ideal for developers aiming to integrate custom AI models with ease, while built-in support for Node-RED simplifies system integration.

Perfect for prototyping or embedding into projects, the reCamera is the fastest way to bring intelligent vision to any system.

Features:

From Demonstration to Production in Days, not Months

• Ready Custom AI Models: Includes YOLO11 with commercial license, Roboflow, and SenseCraft AI support.
• One-Line Deployment: Use a single command to quickly deploy a YOLO model.
• Easy Integration: Pocket-sized, PoE and CAN-bus expansion, magnetic and 1/4″ thread mount.
• Reliable Performance: Optimized heat dissipation to ensure stability.

Code or No-Code: Vision AI for Every Developer’s Workflow

• No-Code for Beginners: Node-RED for simple custom workflows.
• Pro-Code for Experts: Includes a C++ SDK with OpenCV C++ APIs for a deeper dive.
• Dedicated Accessories: Gimbals and other tools to improve the functioning of the reCamera.
• Seeed Vision AI Ecosystem: From MCUs to high-end robotics, Seeed’s entire Vision AI matrix assures the perfect pairing with reCamera.

Modular by Design, Customizable on Demand

• Fully Open Source: Customize reCamera to your specifications.
• Modular Design: Combine/Mix & match sensor, base, and core boards to create unlimited permutations.
• Plug and Swap: You may easily customize the reCamera to meet your own requirements.

Walk through the entire pipeline to see how reCamera, the small yet powerful AI camera, simplifies and accelerates your vision AI development.

Hardware Overview:

Applications:

Node-RED for Efficient Custom Vision AI Workflows

With its plug-and-play simplicity and built-in YOLO 11 models, you can simply drag and drop to begin using reCamera. Create bespoke vision AI workflows and preview AI Model processing on Node-RED, all without any complex coding.

ReCamera Gimbal

Connect this camera module to your gimbal to easily change it into an AI-powered control system.

Gain accurate, two-axis movement—up, down, left, and right—without any coding to begin.

Using the simple Node-RED platform, you can simply integrate and fine-tune the system, allowing computer vision using YOLO v11 to improve your gimbal’s tracking abilities.

Simply configure your desired model in Node-RED, make a few tweaks, and enjoy the full potential of computer vision in your gimbal.

ReCamera Robot Arm

This powerful camera module will enhance the capabilities of your robotic arm by allowing for smooth AI integration.

This module, which includes flexible interface expansion and the open source reCamera OS, brings sophisticated computer vision to your robotics setup, allowing for accurate control and intelligent object recognition.

Customize it to meet your individual requirements, and let the adaptable interface perform difficult tasks with advanced vision and adaptability.