Electronic Components
Seeed Studio reCamera 2002w 8GB Open Source AI Camera for AI vision
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Description
Seeed Studio reCamera 2002w 8GB is a compact open-source AI camera built for edge vision, YOLO deployment, and fast embedded AI development. It combines a 5MP OV5647 camera, 1 TOPS @ INT8 NPU, SG2002 RISC-V SoC, 8GB eMMC, and a Linux-based system in a small modular platform that is easy to prototype, integrate, and deploy.
The key advantage of this reCamera 2002w 8GB version is built-in 2.4GHz / 5GHz Wi-Fi and Bluetooth 4.2 / 5.0, which makes it easier to build wireless edge AI deployments without adding an external network layer. With built-in YOLO11 support, Node-RED low-code workflows, and support for RTSP, HTTP, WebSocket, TCP/UDP, and MQTT, it is well suited for smart monitoring, automation, wireless AI camera installations, people counting, and custom computer vision projects.
Features
- Seeed Studio reCamera 2002w 8GB AI camera with 1 TOPS @ INT8 edge inference performance
- Built-in Wi-Fi 2.4GHz / 5GHz and Bluetooth 4.2 / 5.0 for wireless edge AI deployment
- Built-in YOLO11 models for object classification, object detection, pose detection, and instance segmentation
- Open-source hardware and software with accessible OS, board files, AI pipeline resources, and development assets
- Node-RED support for low-code visual deployment and rapid application building
- 5MP OV5647 sensor with RAW10 output, F2.8 aperture, and 65 field of view
- 8GB eMMC plus TF card expansion up to 2TB for AI camera storage and data logging
- Compact 40 x 40 x 36.5 mm design for wireless AI camera, robotics, automation, and embedded edge vision projects
Specifications
| Brand | Seeed Studio |
| Model | reCamera 2002w 8GB |
| SKU | Seeed-102991896 |
| AI Performance | 1 TOPS @ INT8 |
| SoC | SG2002 |
| CPU | C906 @ 1GHz + C906 @ 700MHz |
| MCU | 8051 @ 8KB SRAM |
| Memory | 256MB |
| Camera Sensor | OV5647, 1/4-inch CMOS |
| Resolution | 5MP, 2592 x 1944 |
| Video Encode | 5MP @ 30fps |
| Output Format | RAW10 |
| Pixel Size | 1.4m |
| Max Frame Rate | Full size 15fps |
| Aperture | F2.8 |
| Equivalent Focal Length | 3.46mm |
| Field of View | 65 |
| Distortion | <1% |
| Lens Structure | 5P |
| Storage | 8GB eMMC |
| Expansion | Removable TF card up to 2TB, card not included |
| Ethernet | 100Mbps |
| Wireless | Wi-Fi 2.4GHz / 5GHz, Bluetooth 4.2 / 5.0 |
| USB | USB Type-C 2.0 |
| Buttons | 1 x Reset, 1 x Boot |
| Fill Light | 0.3W white light |
| LED Indicators | Power indicator, eMMC status indicator, CPU status indicator |
| I/O Port | None |
| Microphone | On-board mic |
| Speaker | External speaker support |
| Power | 5V/1A via USB Type-C |
| Operating Temperature | -20 to 50C |
| Operating Humidity | 95% |
| Dimensions | 40 x 40 x 36.5 mm |
Applications
Seeed Studio reCamera 2002w 8GB is built for practical wireless AI camera and edge AI deployment. It is especially useful where wired networking is inconvenient and you need Wi-Fi-enabled computer vision in compact form, such as smart monitoring, robotics, mobile devices, retail analytics, and flexible installation environments.
- Wireless edge AI monitoring for smart spaces, offices, and indoor deployments
- People counting and object detection without relying on wired-only infrastructure
- Robotics and mobile systems that benefit from onboard Wi-Fi and Bluetooth connectivity
- Smart retail, automation, and embedded vision applications
- Custom computer vision projects that need compact wireless AI hardware
Product List
- reCamera 2002w 8GB x 1
- USB Type-C cable x 1
- Ethernet cable x 1
Other Content
Modular design is one of the biggest strengths of the Seeed Studio reCamera platform. The camera module, core board, and base board architecture makes it easier to adapt the device for custom embedded AI camera systems, visual prototyping, and specialized edge deployments.
Wi-Fi and Bluetooth support makes this reCamera 2002w 8GB version especially attractive for users building flexible wireless deployments, while Node-RED and the open platform make it easier to connect with AI services, dashboards, IoT stacks, and automation systems through RTSP, HTTP, WebSocket, TCP/UDP, and MQTT. If you want to learn more about Node-RED or YOLO, you can also explore Node-RED and Ultralytics YOLO.
Resources
- User Manual
- Data Sheet
- 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
What is the main difference between reCamera 2002 and reCamera 2002w?
The reCamera 2002w version adds built-in Wi-Fi and Bluetooth, making it more suitable for wireless deployments and flexible edge AI installations.
Can I run YOLO models on this wireless AI camera?
Yes. The platform includes built-in YOLO11 support and is designed for fast edge AI model deployment and custom computer vision workflows.
Can I expand storage for recordings and datasets?
Yes. In addition to the built-in 8GB eMMC, the device supports a removable TF card up to 2TB.
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