reCamera Core Board must be used with Sensor Board and the Base Board. You may purchase them separately and assemble a reCamera yourself.

Chooes1 reCamera Sensor Board:

reCamera 2002 Sensor Board GC2053

Then, choose 1 reCamera Base Board:

reCamera 2002 Base Board with PoE

reCamera’s dimensions and design are fully open source. You are free to design your own sensor board and base board. You may also submit feature requests - feel free to reach out to us on GitHub: GitHub · Where software is built

Top View	Bottom View

For any sensor board and base board idea to prototype, you contact [email protected] to customize expansion board for your special needs.

Integration of Real-time Heatmap with Grafana Data Dashboard

The project conducts target detection using the YOLO11n model built into reCamera. It performs fuzzy processing on personnel targets and displays a heat map effect. All of this is handled locally within reCamera! And reCamera will send the detected data to the locally running Influxdb database. Then, Grafana reads the data from the Influxdb database to display real-time data dashboards.

AI Remote Wireless Monitoring System Based on reCamera and Wifi Halow

An AI-based remote wireless monitoring system using Wi-Fi HaLow. It combines edge AI vision with long-range, low-power wireless communication to enable real-time detection, data transmission, and monitoring in remote or infrastructure-limited environments such as farms, factories, and outdoor sites.

Video link: https://www.linkedin.com/posts/seeedstudio_howtobuildanaicamera-outdoor-wifi-activity-7401880305940553729-R57w?utm_source=share&utm_medium=member_desktop&rcm=ACoAAGCDEqUBKdDsqK6EqGXClNocxAAtw3IA_T0

Tutorial: AI Remote Wireless Monitor System with Wifi HaLow | Seeed Studio Wiki

AI Parking Management with reCamera

This project uses Seeed's reCamera to detect parking slot occupancy in real-time. It features multi-frame stabilization to avoid flickering and displays results (free/occupied counts) directly on the video stream. The entire workflow runs automatically on the device via a pre-configured Node-RED setup.

Tutorial: AI Parking Slot Monitoring Demo with reCamera | Seeed Studio Wiki

Play Subway Surfers with reCamera HQ PoE

Using its built-in pose detection model, reCamera can recognize your hand and body movements in real time and convert them into game actions, no controllers, no wearables, just pure gesture play. Wave your hand to jump, raise your arm to attack, or lean left and right to dodge obstacles.

Video link: https://www.linkedin.com/posts/seeedstudio_howtobuildanaicamera-recamera-yolo11n-activity-7399730949401526272-UdZ4?utm_source=share&utm_medium=member_desktop&rcm=ACoAAGCDEqUBKdDsqK6EqGXClNocxAAtw3IA_T0

Tutorial: Play Subway Surfers with body sensor control | Seeed Studio Wiki