reCamera Car Parking Detection - rong - CodeCraft Hub

Documentation

Application Scenarios Private/Shared Parking Anti-Occupancy Owners or operators can monitor the status of specific parking spaces in real time. When an unauthorized vehicle is detected entering and occupying, the AI immediately triggers an alert and synchronizes the real-time parking availability status to the booking platform via the network. Smart Campus/Shopping Mall Parking Guidance Deployed in small to medium-sized campuses or underground parking lots, the system automatically counts vacant parking spaces in each zone and coordinates with indicator screens to quickly guide vehicles to available spots, effectively improving turnover rates and customer experience. Roadside Parking/Unloading Zone Management Provides round-the-clock monitoring of open roadside parking spaces or logistics center unloading bays, automatically recording parking duration to support accurate billing or optimization of unloading workflows. Core Technologies and Advantages Localized Real-Time Parking Space Detection The system runs an optimized object recognition algorithm for parking scenarios directly on the reCamera. Adopting an edge-side inference model, it achieves millisecond-level updates of parking space status even under complex conditions such as uneven lighting and occlusion, without relying on expensive GPU servers. Ultimate Privacy and Compliance Protection Adhering to the principle of "data stays on-device", parking occupancy recognition is processed locally, and only non-sensitive metadata such as "occupied/vacant" is output. Original surveillance footage is neither uploaded nor stored, fully addressing privacy and security concerns of video capture in public areas. Flexible Node-RED Business Logic Customization Leveraging the built-in Node-RED environment in reCamera, users can easily customize business workflows, such as "send an email notification when Parking Space A is occupied for over 2 hours" or "regularly push the total number of available parking spaces to the Grafana dashboard", enabling a rapid closed loop from perception to management. Hardware and Software Preparation Core Device reCamera series (reCamera HQ PoE is recommended for more stable power supply and network connectivity). Accessories Universal camera mount (ensuring a top-down view covering 1–3 parking spaces), standard Ethernet cable, or USB-C power adapter. Software Environment SenseCraft AI platform, built-in parking space monitoring model firmware, and Node-RED dashboard (for local status preview). Deployment with SenseCraft AI SenseCraft AI provides a streamlined end-to-end platform for deploying and managing edge AI applications like parking space monitoring. The deployment steps are as follows: 1. Register and configure your reCamera via the SenseCraft AI platform to ensure the device is connected to the local network. 2. Upload or select a pre-trained parking space detection model from the SenseCraft model zoo, and directly push it to the reCamera for edge execution. Please refer to the Wiki page for detailed tutorials: AI Parking Slot Monitoring Demo with reCamera | Seeed Studio Wiki

Application Scenarios Private/Shared Parking Anti-Occupancy Owners or operators can monitor the status of specific parking spaces in real time. When an unauthorized vehicle is detected entering and occupying, the AI immediately triggers an alert and synchronizes the real-time parking availability status to the booking platform via the network. Smart Campus/Shopping Mall Parking Guidance Deployed in small to medium-sized campuses or underground parking lots, the system automatically counts vacant parking spaces in each zone and coordinates with indicator screens to quickly guide vehicles to available spots, effectively improving turnover rates and customer experience.