Automated Real-Time License Plate Recognition System for Traffic and Parking Management

The client faces challenges in efficiently automating vehicle entry and exit monitoring, managing parking lots, ensuring road safety, and preventing fraudulent activities. Manual processes are labor-intensive, costly, and prone to errors, especially under varying weather conditions and diverse camera angles. Existing systems focus mainly on frontal images and struggle with moving vehicles, leading to inaccuracies and operational inefficiencies.

A mid to large-sized transportation authority or parking management organization seeking to automate vehicle entry and exit, enhance safety, and reduce operational costs through AI-powered license plate recognition.

• Develop an AI-powered system for real-time license plate detection and recognition under diverse environmental conditions.
• Reduce manual monitoring and operational costs associated with vehicle access control and parking management.
• Enhance traffic safety and regulatory compliance through accurate, instant vehicle identification.
• Implement a robust solution capable of handling angled camera views and low-quality video inputs.
• Achieve high recognition accuracy with confidence evaluation mechanisms to minimize errors.

• Vehicle detection using pretrained neural networks to identify moving and stationary cars.
• License plate detection that withstands various angles and distortions, including algorithms for transforming detected plates into frontal, rectangular views.
• Optical character recognition (OCR) that accurately reads license plate text across different formats and conditions.
• Elementary validation functions that verify the plausibility of recognized text and reduce recognition errors.
• Confidence scoring for each recognition instance to enable threshold-based filtering and improve reliability.

• Existing security or access control systems for seamless vehicle verification
• Parking management systems for real-time entry/exit tracking
• Data storage solutions for logging recognized license plates and video footage

• Real-time processing capability with minimal latency (target <1 second per recognition)
• High accuracy rate, aiming for >95% recognition success under various conditions
• Scalability to handle increasing vehicle volumes
• Robust performance in adverse weather and lighting conditions
• Data security and privacy compliance for any stored or transmitted vehicle data

Implementation of the automated license plate recognition system is projected to significantly reduce operational costs by decreasing manual monitoring requirements and personnel overhead. It will streamline parking operations, eliminate physical ticketing for customers, enhance safety and regulatory compliance, and enable scalable, real-time vehicle access management. Anticipated improvements include a detection accuracy exceeding 95% and processing latency under one second, leading to more efficient traffic and parking flow.