Selection Guide

reCamera series currently offers two sensor boards OV5647 and GC2053. OV

5647 is the default Sensor Board for reCamera 2002(w) 8/64GB. These two boards allow you to choose freely based on your application needs.

OV5647（S101）— Choose when you need:

• Higher resolution (5MP)
• 65° FOV for focused, close-up scenes.

GC2053（S4）— Choose when you need:

• Install different lens: 93°(default), 16°, 22°, 102°, 120°

Here is a comparison of imaging results of two sensor boards:

reCamera Sensor Board GC2053 must be used with Core Board and the Base Board. You may purchase any reCamera model, for example the reCamera 2002 (W) 8/64GB, and install GC2053 Sensor Board onto the finished reCamera unit to extend functionality.

Alternatively, you may purchase the Core Board and Base Board separately and assemble a reCamera yourself.

You may choose reCamera units:

reCamera 2002w 64GB- Open Source AI Camera

reCamera 2002 64GB-Open Source AI Camera

reCamera 2002w 8GB-Open Source AI Camera

reCamera 2002 8GB-Open Source AI Camera

Or individual core boards:

reCamera 2002w Core Board 64GB with Aluminium Frame reCamera 2002 Core Board 64GB with Aluminium Frame reCamera 2002w Core Board 8GB with Aluminium Frame reCamera 2002 Core Board 8GB with Aluminium Frame

with

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

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