SKU: IOWC-0648
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Seeed Studio Studio reCamera 2002w 8GB RISC-V AI Vision Camera

₹11,499.00 (Inclusive of all taxes)
Out of Stock

The Seeed Studio Studio reCamera 2002w 8GB is a compact, open-source AI vision camera powered by a RISC-V SG2002 SoC, delivering 1 TOPS of on-device AI performance for real-time object detection and 5MP video encoding. It features Wi-Fi/Bluetooth connectivity, modular interfaces, and supports major AI frameworks like TensorFlow Lite and PyTorch for embedded computer vision applications.

Features

  • High-Performance RISC-V AI SoC: Features the SG2002 dual-core processor (1GHz + 700MHz) with an integrated 1 TOPS NPU for efficient on-device inference with models like YOLOv8.
  • Versatile Vision Sensor Support: Compatible with standard (OV5647) and specialized modules, including thermal and night vision sensors, for flexible application design.
  • Dual-Band Wireless & Wired Connectivity: Equipped with 2.4/5GHz Wi-Fi, Bluetooth 5.0, and a 100Mbps Ethernet port for robust data transfer and network integration.
  • Compact & Modular Form Factor: Measures just 40x40x36.5mm with expandable interfaces, ideal for integration into drones, robotics, and portable devices.
  • Developer-Friendly AI Workflow: Supports no-code deployment via Node-RED and is compatible with Ultralytics, TensorFlow Lite, and PyTorch for streamlined model training and deployment.

Out of stock

Description

The Seeed Studio Studio reCamera 2002w is a purpose-built embedded vision platform designed for developers and system integrators requiring high-efficiency AI inference at the edge. Its core is the SG2002 RISC-V SoC, which combines dual application cores with a dedicated neural processing unit capable of 1 TOPS (INT8), enabling real-time object detection and classification directly on the device without relying on cloud connectivity.

This camera module provides a complete vision subsystem with 8GB of onboard storage, 256MB of RAM, and a versatile sensor interface supporting the global shutter OV5647 camera by default. Its compact 40mm cube design incorporates a 0.3W white LED fill light, a USB Type-C 2.0 interface for power and data, and comprehensive wireless options including dual-band Wi-Fi and Bluetooth 5.0, making it a fully self-contained node for smart IoT deployments.

Key Features

  • On-Device AI Acceleration: Integrated 1 TOPS NPU enables efficient inference for object detection, classification, and tracking using popular models.
  • Modular & Expandable Hardware: Open-source design with exposed interfaces allows for sensor swaps, peripheral additions, and custom carrier board development.
  • High-Quality Video Encoding: Capable of encoding 5MP video streams at 30 FPS for real-time monitoring and vision processing applications.
  • Robust Connectivity Suite: Combines 2.4/5GHz Wi-Fi, Bluetooth 5.0, 100Mbps Ethernet, and USB 2.0 for flexible network integration and data offloading.
  • Global Shutter Sensor Compatibility: Supports sensors like the OV5647 to capture clear, distortion-free images of fast-moving objects.
  • No-Code AI Deployment Pipeline: Includes Node-RED integration for visual workflow programming, lowering the barrier to entry for AI application development.
  • Broad AI Framework Support: Compatible with Ultralytics YOLO, TensorFlow Lite, and PyTorch, facilitating model porting and optimization.

Applications

  • FPV Drones & Robotic Vision: Provides real-time object detection and tracking for autonomous navigation and gimbal control in aerial and ground robotics.
  • Smart Surveillance & Monitoring: Enables AI-powered security systems with on-device person/vehicle detection, reducing bandwidth and cloud dependency.
  • Industrial Automation & Inspection: Used for visual quality control, defect detection, and pick-and-place operations on production lines.
  • Edge AI Prototyping & Education: Serves as a versatile platform for developing and testing computer vision models in academic and R&D environments.
  • IoT Smart Devices: Integrates into interactive kiosks, smart retail solutions, and home automation for gesture or presence sensing.

Technical Specifications

SoC / ProcessorSG2002 (RISC-V C906 @1GHz + C906 @700MHz)
AI Performance1 TOPS (INT8)
Memory256MB
Storage8GB
Default Camera SensorOV5647
Video Encoding5MP @ 30 FPS
Wireless ProtocolsWi-Fi 2.4/5GHz, Bluetooth 4.2/5.0
Wired Interface100Mbps Ethernet, USB 2.0 Type-C
Onboard MCU8051 @ 8KB SRAM
Additional Features0.3W White LED Fill Light
Dimensions (L x W x H)40 x 40 x 36.5 mm

Frequently Asked Questions

What AI frameworks are supported for developing models on the reCamera 2002w?

The reCamera 2002w supports major AI frameworks including Ultralytics YOLO (v3, v8), TensorFlow Lite, and PyTorch. You can train your models on a PC using these frameworks, then quantize and compile them for the onboard 1 TOPS NPU using the provided toolchain. The device also supports a no-code workflow via Node-RED for visual pipeline creation and deployment.

How do I power and connect to the reCamera for initial setup and programming?

Power the device via the onboard USB Type-C port (5V). For initial setup, you can connect via Wi-Fi or Ethernet. The camera creates a default Wi-Fi access point. Use a web browser to access its configuration interface or SSH into it for advanced development. Firmware updates and model deployment are managed through this web interface or via the provided SDK and command-line tools.

Can I use thermal imaging or other camera sensors with this module?

Yes, the reCamera's modular hardware design allows for sensor interchangeability. It is compatible with various camera modules, including thermal imaging sensors and other global shutter sensors. You will need to ensure the physical connector matches and may require adjustments to the device tree or driver configuration in the firmware to support the new sensor's data format and timing.

Package Includes

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

Additional Information

Weight 0.172 kg
Dimensions 4 × 4 × 3.65 cm