Outdoor environments often lack network coverage, traditional Wi-Fi has very limited range, 4G/5G signals can be unstable, and conventional cameras rely on cloud connectivity, making real-time detection impossible.
- In a forest campsite, you may want to monitor wildlife such as bears; at home or in a warehouse, you may need to detect approaching vehicles or strangers.
- Truck drivers may need to detect suspicious activity near the vehicle when operating in areas with no network coverage.
The core requirements are clear: long-range communication, on-device AI inference, no network dependency, real-time video, and real-time detection outputs.
Technical Highlights of reCamera & Wi-Fi HaLowreCamera integrates a 1-TOPS on-device AI accelerator, eliminating the need for external edge-computing hardware. With Node-RED graphical programming, you can push RTSP video streams and output WebSocket detection results simply by dragging a few nodes. The system is highly integrated and works out of the box.
Wi-Fi HaLow is a sub-GHz long-range Wi-Fi standard (802.11ah) designed for low-power IoT devices. Operating in the 902–928 MHz band, Wi-Fi HaLow provides strong penetration, up to 1 km coverage, and bandwidth up to 16 Mbps. It offers significantly higher throughput than LoRa for video transmission while maintaining more stable long-range connectivity compared with conventional Wi-Fi.
The system is built around a simple concept: reCamera connects to a Wi-Fi HaLow module via Ethernet, the terminal device (such as reTerminal or a laptop) connects to the second HaLow module, and both sides communicate wirelessly over a long-distance HaLow link. The reCamera pushes an RTSP video stream and sends AI detection results via WebSocket, while the terminal receives and displays both in real time.
- reCamera (any model) - provides on-device AI inference.
- TwoWi-Fi HaLow Transmission Modules/Gateways - create the long-range sub-GHz wireless link.
- Terminal device – reTerminal, Raspberry Pi, laptop, or any edge device with Ethernet + display.
- USB-C cables (×3) – one for reCamera power, two for powering the HaLow modules.
- Ethernet cable – connects reCamera ↔ HaLow / terminal ↔ HaLow.
- 5V 3A USB-C Power Adapter – powers the reTerminal if not using the expansion board
For details instructions, please refer to: https://wiki.seeedstudio.com/ai_remote_wireless_monitor_system_with_wifi_haLow/#overall-architecture
Step 1 :Log into reCamera, set the camera node (e.g., 480p/5fps), add a Stream node for RTSP output, add a WebSocket node for AI results, and assign a static IP (e.g., 192.168.10.100).
Step 2: Set one module to AP mode and the other to STA mode, then press the pairing buttons to establish a long-range wireless “virtual Ethernet cable.” The image below demostrates the STA/AP mode selection button and pairing button:
Step 3: Disable NetworkManager (if using Linux), set a static IP for the terminal (e.g., 192.168.10.3), reboot, and prepare tools like ffplay or VLC to receive the RTSP stream. The final result is illustrated below:
Step 4: Use ffplay (or VLC) to open the RTSP stream, and run wscat -l 9000 to receive real-time WebSocket AI detection results in the terminal.
(Insert image here: final effect — RTSP video + WebSocket text)
- Wildlife & Bear Warning System: Deploy a bear-detection model in a forest campsite and monitor the area from hundreds of meters away. Even without network coverage, you can receive real-time alerts and avoid dangerous wildlife encounters.
- Perimeter Security for Homes or Warehouses: Monitor vehicles, strangers, or suspicious activity around a property where wiring or routers are difficult to install.
- Truck and Vehicle Safety Monitoring: Set up a reCamera on a truck to detect people approaching the vehicle, even in remote regions without cellular coverage.
- Agricultural or Farm Monitoring: Use HAloW’s long-range capability to monitor animal intrusion (boars, monkeys, stray dogs) across large fields.
This project demonstrates how reCamera’s on-device AI and Wi-Fi HaLow’s long-range connectivity can create a powerful, fully offline monitoring system. With only a few nodes in Node-RED and simple hardware setup, anyone can build a robust real-time AI vision system that works far beyond the limits of traditional Wi-Fi.







Comments