Seeed Studio reCamera 2002 Core Board 64GB with Aluminium Frame

Description

Seeed Studio reCamera 2002 Core Board 64GB with Aluminium Frame is the core computing board for custom reCamera builds. It is designed for developers who want to assemble their own edge AI camera system with a compatible sensor board and base board, while keeping the official reCamera hardware and software ecosystem.

This core board is built around the SG2002 RISC-V SoC, runs a Linux-based system, and provides 1 TOPS @ INT8 AI computing performance for YOLO deployment, computer vision, and edge inference. The included 64GB eMMC offers more room for system images, AI models, recordings, and project data, while the aluminium frame helps with thermal management during sustained AI workloads.

Features

• Seeed Studio reCamera 2002 Core Board 64GB with Aluminium Frame for modular reCamera system development
• 1 TOPS @ INT8 AI acceleration for edge AI, YOLO inference, and embedded vision workloads
• SG2002 RISC-V SoC with a Linux-based platform for flexible software development
• 64GB eMMC onboard storage for larger system images, model files, recordings, and deployment data
• Aluminium frame included for stronger thermal performance and structural protection
• Designed to work with compatible reCamera sensor boards and reCamera base boards
• Supports custom hardware extension and open-source reCamera platform development
• Well suited for custom AI camera, edge vision, and embedded computer vision products

Specifications

Applications

Seeed Studio reCamera 2002 Core Board 64GB with Aluminium Frame is intended for developers building a custom reCamera platform instead of buying a finished all-in-one unit. It is a strong fit for modular AI camera design, embedded edge AI systems, custom sensor integration, and compact Vision AI devices where you want to control the board stack and enclosure design yourself.

• Custom reCamera builds with your own sensor board and base board combination
• Edge AI camera development for YOLO, object detection, and visual analytics
• Embedded computer vision products that require compact AI processing hardware
• Prototype-to-product workflows using the official open-source reCamera ecosystem
• Industrial monitoring, smart automation, and machine vision concepts based on modular AI hardware

Product List

• reCamera Core Board x 1
• Aluminium Frame x 1

Other Content

This product is not a complete camera kit by itself. To build a working reCamera system, you will also need a compatible sensor board and base board. That makes this core board especially useful for users who want more freedom in product design, camera selection, enclosure design, and system expansion.

The 64GB eMMC gives this version more room for datasets, AI model storage, system backups, logging, and longer-running deployments than the smaller storage core board option. That makes it especially practical for developers who want more local capacity inside a compact edge AI platform.

The open-source reCamera platform gives you access to board-level files, OS resources, and hardware references, making it easier to develop your own custom edge AI camera or embedded vision device. If you want to learn more about the software side, you can also explore Node-RED and Ultralytics YOLO.

Resources

• Core Case 3D File
• reCamera Hardware Repository
• reCamera OS Repository
• AI Parking Slot Monitoring Guide
• AI Remote Wireless Monitoring Guide
• Motion-Sensing Control Guide
• reCamera Flyer
• reCamera Flyer CN

FAQ

Is this a complete AI camera kit?
No. This product is the core board only and should be paired with a compatible reCamera sensor board and reCamera base board to build a complete system.

What is the main advantage of this 64GB version?
The main difference is the larger 64GB eMMC, which provides more local storage for system files, AI models, recordings, datasets, and long-running deployment work.

Can I use this for custom edge AI hardware development?
Yes. This core board is intended for custom reCamera builds, modular hardware development, and open-source edge AI camera integration.