Seeed Studio reCamera 2002w 64GB – Open-Source AI Vision Camera
The Seeed Studio reCamera 2002w 64GB is an open-source AI camera designed for intelligent vision applications, edge computing, robotics, and automation projects. Powered by up to 1 TOPS @ INT8 AI performance, this AI vision camera supports on-device processing and comes with built-in YOLOv11 capabilities for object detection.
Its Linux-based platform, 5MP camera, Node-RED integration, and support for custom AI models give developers the flexibility to build and deploy their own computer vision solutions.
With 64GB onboard storage, the reCamera 2002w is well suited for AI model storage, edge AI applications, smart monitoring, robotics, industrial automation, and other AI vision projects where local, efficient image processing is required. As a modular and fully open-source platform, it provides an accessible way to experiment with and develop practical edge AI camera applications.
How does it work:
Powered by an edge AI pipeline, reCamera converts real-world data into intelligent actions.
Complementing this, SenseCraft AI is a comprehensive platform that empowers developers and creators to effortlessly build and deploy AI projects. Featuring a robust suite of tools, the platform streamlines the development process, making AI accessible to users of all skill levels.
Features:
Feature 1: Run AI Vision at the Edge
- 1 TOPS NPU-powered AI vision with pre-installed YOLO11 models for fast edge processing, supporting object detection, classification, pose estimation, and instance segmentation.
- Open-source and flexible for AI projects, while commercial use of Ultralytics YOLO models requires a separate commercial license.
Feature 2: Build AI Applications Faster with Visual Workflows
- Create AI workflows effortlessly with Node-RED by connecting camera input, AI model inference, result processing, device control, and data communication.
- Build and deploy intelligent AI applications with minimal coding by simply connecting visual workflow nodes.
Feature 3: Modular Design
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Modular Hardware: Configure the sensor, compute, storage, and connectivity to suit different applications, with interchangeable M12 lenses and multiple sensor options.
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Flexible Expansion: Features RISC-V SoC, 1 TOPS INT8 NPU, 8GB/64GB eMMC, Wi-Fi, USB, Ethernet, serial, PoE, GPIO, and customizable connectivity options.
Feature 4: Fully Open Hardware & Software Freedom
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Fully Open Platform: Open-source hardware, Linux system, AI runtime, SDKs, APIs, and Node-RED workflows offer complete customization without proprietary lock-in.
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Complete Developer Freedom: Access public schematics, PCB files, drivers, source code, and AI models to modify, optimize, build, and deploy custom vision solutions.
Feature 5: Seamlessly Integrate with Existing Systems
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Seamless Connectivity: Supports RTSP, HTTP, WebSocket, and TCP/UDP protocols for easy integration with online platforms and applications.
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IoT Integration: Uses MQTT to connect and communicate seamlessly with other IoT devices and systems.
Feature 6: Turn Vision Intelligence into Real-World Applications
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Smart Site Security: Monitor people, vehicles, PPE compliance, and restricted areas with real-time on-device AI detection and alerts.
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Smart Warehouse Management: Automate package recognition, quality inspection, inventory tracking, and operational monitoring using custom AI models.
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Smart Livestock Monitoring: Identify animals, track populations, and analyze unusual behaviors with customizable AI vision.
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Edge AI Processing: Process visual data locally for faster responses, reduced cloud dependency, and efficient automation.
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Flexible AI Applications: Build customized computer vision solutions for security, warehouses, farms, robotics, and industrial automation.
Hardware Overview:
Applications:
- Real-Time Heatmap Integration with Grafana Dashboards
- AI-Powered Remote Wireless Monitoring Using reCamera and Wi-Fi HaLow
- AI-Driven Parking Management System via reCamera
- Interactive Gameplay: Playing Subway Surfers with reCamera HQ PoE