reCamera Pro Edge AI Camera (2GB or 4GB)
Pre-order: this item is not in stock yet. Order now and we will ship it from our Woodbridge, Ontario warehouse as soon as our stock arrives.
reCamera Pro is a developer AI camera that runs vision, audio and language models on the device itself. It pairs an 8MP starlight sensor with a Rockchip RV1126B processor, so you can detect objects, react to sounds or sensor input and push results to your own systems without sending video to the cloud. It is a building block for security, automation and IoT projects, not a plug-and-play home camera.
What you can build
- Event-driven alerts: capture a clip, call an HTTP endpoint or publish MQTT when a model detects something
- Industrial and retail monitoring that feeds an existing NVR over RTSP or ONVIF
- Multi-sensor triggers using the built-in microphones, IMU, GPIO and UART
- Training and deploying your own models with SenseCraft AI or RKNN-Toolkit2
Key specifications
| Processor | Rockchip RV1126B, quad-core Arm Cortex-A53 |
|---|---|
| AI performance | 3 TOPS NPU (INT8) |
| Memory | 2GB or 4GB (choose above) |
| Storage | 16GB eMMC, microSD slot up to 512GB (card not included) |
| Image sensor | SC850SL 8MP, 1/1.8 inch starlight |
| Video | 3840 x 2160 at 30 fps |
| Lens | M12 x 0.5 mount, 2.75 mm, 123 degree field of view |
| Network | Gigabit Ethernet, dual-band Wi-Fi 5, Bluetooth 5.4 |
| Interfaces | USB Type-C (3.0), 2x CAN, 2x GPIO, UART, debug UART, MIPI DSI |
| Audio | 2 microphones, built-in speaker |
| Power | 12V 2A DC, PoE, USB Type-C or 7.4V battery |
| Size and weight | 67 x 67 x 89.8 mm, about 324 g |
Compatible software and platforms
SenseCraft AI, the built-in web interface, RTSP, ONVIF, MQTT, HTTP APIs, ONNX, PyTorch, TensorFlow Lite, Caffe and Darknet models via RKNN-Toolkit2.
What's in the box
- reCamera Pro
- Power adapter
- USB Type-C data cable
Buy separately
- microSD card if you want local recording
- PoE switch or injector if you plan to power it over Ethernet
- Commercial Ultralytics licence if you use YOLO models in a commercial product
Setup
Connect power and network, then open the built-in web interface in a browser to set streams, models and workflows. Model conversion and custom code need a computer.
Specifications and package contents are from the manufacturer's product page and may change between production batches.
Works well with
Delivery time
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