Transforming Parking Accuracy with MAV AiQ

MAV Systems Ltd is a recognised global leader in Automatic Number Plate Recognition (ANPR) innovation. For more than three decades, MAV has driven the evolution of intelligent imaging, AI analytics, and data-processing systems used in parking, enforcement, and transport management worldwide.

Our strength lies in a deep combination of engineering precision, AI expertise, and real-world deployment experience. The MAV team includes product engineers, software architects, and field specialists who collaborate directly with operators and enforcement partners to solve the industry’s toughest challenges.

The MAV AiQ project team brought together AI researchers, systems integrators, and client specialists to design, test, and deploy a next-generation ANPR solution. Their goal was simple: to redefine what’s possible in accuracy, reliability, and adaptability—particularly within demanding, high-turnover parking environments.

The MAV AiQ Solution

The challenge came from a global quick-service restaurant brand struggling with ANPR accuracy across multiple high-traffic sites. Existing systems were achieving only 70–75% recognition, undermining enforcement integrity, operational efficiency, and revenue protection.

MAV Systems responded with the deployment of MAV AiQ—an AI-enhanced ANPR platform built to overcome the limitations of traditional imaging systems. By combining edge-based computing, adaptive AI, and integrated MAV trademark technologies, AiQ delivers unmatched reliability under even the most constrained lighting and spatial conditions.

Key Results within 36 hours of deployment:

• Recognition accuracy increased to ~93% (even in low-light winter conditions).
• Several partner sites achieved 100% read accuracy for the first time.
• GhostPlate™ eliminated false matches from dirty, cloned, or damaged plates.
• AiAccurate™ improved overall read confidence by 30–40%.
• Operators captured 500+ additional accurate reads per day—without additional infrastructure or manpower.