reCamera 2002w 8GB -Open-Source Pocket-Sized AI Camera Module -Seeed Studio - Buy Online in India

Package Includes:

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

Specifications:

1. How to set up the reCamera 2002w AI camera module for the first time?

Connect the reCamera 2002w AI camera module to your computer via USB to power and access its onboard storage. Install the Seeed Studio drivers and flash the latest firmware using the provided tools. This pocket-sized AI camera supports MicroPython and Arduino IDE for programming. Once configured, it’s ready for Edge AI vision module applications like facial recognition or motion detection.

2. How to connect the reCamera 2002w to Wi-Fi for remote access?

Use the onboard Wi-Fi chip to connect the pocket-sized AI camera to your local network via the configuration portal or MicroPython script. Once connected, access the AI camera module remotely through a web interface or MQTT broker. This enables real-time video streaming and control for Edge AI vision tasks such as remote monitoring or smart doorbell systems.

3. How to capture and process images using the reCamera 2002w?

Use the AI camera module’s SDK or open-source libraries like OpenMV to capture and store images on the 8GB flash or microSD card. The Edge AI vision module runs lightweight neural networks directly on the device for on-device inference. Perform real-time object detection, color tracking, or QR code reading without relying on cloud processing.

4. How to integrate the reCamera 2002w with other IoT or AI systems?

Connect the Edge AI vision module to IoT platforms like Blynk, Home Assistant, or AWS IoT via Wi-Fi using MQTT or HTTP. Stream inference results or trigger actions based on visual events detected by the pocket-sized AI camera. This integration enables smart surveillance, automated alerts, or robotics navigation in standalone or networked setups.

5. How to train custom AI models for the reCamera 2002w?

Train your model using TensorFlow or PyTorch on a PC, then convert it to a TensorFlow Lite format compatible with the AI camera module. Deploy the model to the reCamera 2002w using the Seeed Studio toolchain. The Edge AI vision module executes the model efficiently for real-time inference, enabling custom applications like gesture control or anomaly detection.

6. How to power and maintain the reCamera 2002w AI camera?

Power the pocket-sized AI camera via USB-C or a connected Li-Po battery for portable use. Ensure stable voltage to avoid resets during AI inference. Regularly update the firmware from Seeed Studio to improve stability, security, and performance of the AI camera module. Clean the lens periodically and protect the device from dust and moisture during Edge AI vision applications.

• User Manual
• Data Sheet
• reCamera Github
• reCamera OS Github

1. What is the reCamera 2002w AI camera module used for?

The reCamera 2002w AI camera module is built for edge AI applications like real-time object detection, face recognition, and image classification. You can deploy it in smart vision systems where on-device processing reduces latency and bandwidth use. Its compact design makes it ideal for portable and embedded AI projects.

2. Can the Pocket-sized AI camera be used for edge computing projects?

Yes, this Pocket-sized AI camera is optimized for edge computing, delivering efficient on-device AI inference with low power consumption. It’s well-suited for robotics, automation, and surveillance systems that require responsive, local data processing. You can run AI models directly without relying on cloud connectivity.

3. Does the reCamera 2002w support wireless connectivity?

Yes, the reCamera 2002w features built-in Wi-Fi and Bluetooth, enabling seamless wireless communication for data transfer and remote control. You can stream image data or update firmware over the air, making it a strong choice for IoT and smart device integration. This connectivity enhances flexibility in field deployments.

4. Is the reCamera 2002w compatible with open-source frameworks?

Absolutely, the AI camera module is fully compatible with open-source software tools and frameworks, allowing full customization of AI models and vision pipelines. You can leverage existing libraries and community resources to accelerate development. This openness supports rapid prototyping and iterative testing.

5. What is the image resolution of the reCamera 2002w?

The module is equipped with a 5MP camera sensor, delivering high-resolution imaging for accurate AI vision tasks. You get clear, detailed images suitable for facial recognition, object classification, and edge analysis. This resolution balances quality and processing efficiency for real-time performance.

6. Can I use the reCamera 2002w AI module for real-time object detection?

Yes, this Edge AI vision module is engineered for real-time AI inference, enabling fast and accurate object detection directly on the device. You can run lightweight neural networks like MobileNet or YOLO variants with minimal latency. It’s ideal for applications requiring immediate visual feedback.

7. Who can benefit from using the reCamera 2002w AI camera module?

This open-source AI camera module is perfect for hobbyists, researchers, and professionals building IoT, robotics, or Edge AI vision projects. Its small size, low power use, and developer-friendly design make it accessible for both learning and advanced prototyping. You can quickly turn ideas into functional AI-powered devices.

Warranty Coverage:

This product comes with a 1-year manufacturer warranty from the date of purchase, covering manufacturing defects only.

Warranty Void If:

The product shows signs of physical damage, mishandling, exposure to water/moisture, fire, natural calamities, unauthorized repairs, improper storage near heat or direct sunlight, or alteration in any way.

Shipping Policy

• All orders confirmed before 3:00 PM IST are shipped the same day, barring rare pickup delays on holidays or disturbances.
• Delivery time in Metro cities is 1–3 days; for other locations, it is 3–7 days. Delivery varies based on location and courier service.

Return & Refund Policy

• Return window: 7 days from receipt unless stated otherwise.
• No refunds or replacements after the return window.
• Returns are accepted only for non-working or damaged products.
• Initiate return requests via a Support ticket or contact us at +91-8123057137.
• Refunds are processed within 3–4 working days after inspection and approval.