Parking AI – Intelligent Parking Monitoring & Enforcement System Parking AI is an AI-powered parking monitoring platform designed to automate parking surveillance, detect parking violations, and improve traffic and parking management for municipalities and public authorities. Project Overview I designed and developed an intelligent parking management solution that combines computer vision, object detection, and Automatic Number Plate Recognition (ANPR) to monitor parking areas in real time. The system allows administrators to define monitored parking zones, configure maximum parking durations, identify vehicles, and automatically detect potential parking violations. Key Features AI-Powered Vehicle Detection: Uses YOLO-based computer vision to identify and track vehicles. License Plate Recognition (ANPR): Extracts vehicle registration numbers using OCR technology. Real-Time Monitoring: Processes camera feeds and monitors designated parking zones. Automated Violation Detection: Identifies vehicles exceeding configured parking time limits. Evidence Management: Stores violation history and supporting visual evidence. Administrative Dashboard: Provides a centralized interface for monitoring cameras, vehicles, events, and violations. Human Verification: Enables authorized personnel to review and confirm violations before enforcement. Technologies & Tools Python YOLO / Computer Vision OCR (Rust) Tauri JavaScript API Integration Git / GitHub My Role I was responsible for the software architecture, implementation, AI integration, backend development, computer vision workflows, and system functionality. Project Goal:Build a scalable, intelligent parking enforcement solution that reduces manual monitoring, improves operational efficiency, and helps municipalities manage public parking infrastructure.
- AI Developer
- AI Engineer
- Back-End Developer
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