MAV AiQ Deployment for Global Quick-Service Restaurant Brand

Parking Management

What Was the Objective?

A global quick-service restaurant group was experiencing major operational and enforcement challenges due to poor ANPR accuracy across multiple high-traffic parking sites. Their existing ANPR systems were delivering only 70–75% recognition, resulting in:

Incorrect parking session records
Reduced enforcement integrity
Lost revenue from non-compliance
Increased customer disputes
A growing lack of confidence in the existing technology

The objective was clear: dramatically improve ANPR accuracy and reliability in fast-turnover, low-light, constrained environments—without replacing infrastructure or disrupting operations.

Solution — What MAV Delivered

MAV Systems deployed MAV AiQ, a next-generation AI-powered ANPR platform designed to transform recognition accuracy in challenging parking environments.

The solution was engineered to:

Replace outdated analytics with adaptive AI and edge-based processing
Deliver immediate uplift in recognition performance with minimal configuration
Integrate seamlessly into the customer’s existing parking enforcement workflow
Overcome known image-capture problems such as glare, motion blur, poor angles, and plate contamination
Provide operators with real-time performance dashboards and anomaly detection

This delivered a rapid and measurable transformation in enforcement quality—achieved without any civil works or site redesign.

Technology Used — What Powered the Solution

MAV AiQ AI Engine — adaptive ANPR algorithms built for high-turnover sites.

GhostPlate™ — detection and filtering of dirty, cloned, masked or damaged plates to eliminate false reads.

AiAccurate™ — multi-frame analysis to boost recognition confidence by 30–40%.

PlatePath™ — vehicle pathway tracking for accurate read verification in busy, tight-angle car parks.

Edge-Based Processing (GPU-accelerated) — real-time recognition without additional network load.

Adaptive Illumination + Dual Camera Imaging — consistent high-quality reads in low light and winter conditions.

Results — How Well the Solution Worked

The result was a step-change in enforcement quality, reliability, and operational performance.

Within 36 hours of the MAV AiQ deployment:

The numbers

93%+

Accuracy increased from 70–75% to ~93%+

100%

Several sites achieved 100% recognition for the first time

500+

500+ additional accurate reads per site per day were captured

0–40%

AiAccurate™ delivered a 30–40% improvement in read confidence

GhostPlate™

GhostPlate™ eliminated false matches from damaged or cloned plates

20%

Plate read volume increased by up to 20%

30–40%

Mismatched or duplicate records dropped by 30–40%

No new infrastructure or civil works were required

+ROI

Operator compliance and revenue integrity improved immediately

What to find out how to get similar results?

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Where MAV Makes the Difference

We are redefining what is possible with ANPR Cameras, offering a tailored approach to solution development, so our partners have a robust platform to transform data capture, analysis, and system outcomes.

Transforming Parking Accuracy with MAV AiQ

Parking Management