About the Client

The client is one of the largest parking lot management companies in the U.S., operating in over 150 cities and managing 15,000+ parking facilities. Serving aviation, healthcare, hospitality, and government sectors, they aimed to integrate AI-driven automation to optimize parking operations. Their primary goal was to develop a mobile app that eliminates reliance on expensive hardware, enhances security, streamlines access control, and provides predictive insights for better parking management.

Business Situation

High Hardware Costs: Traditional license plate recognition systems required costly surveillance devices.
Inconsistent Recognition Accuracy: Varied lighting, moving vehicles, and plate formats affected recognition.
Limited Predictive Insights: The system lacked AI-based analytics for demand forecasting.
Manual Payment Processing: The absence of digital transactions led to inefficiencies.
Scalability Concerns: The solution needed to support operations across 15,000+ parking lots.
Real-Time Data Syncing: Ensuring seamless cloud integration for instant vehicle identification.

The Solution

Unthinkable leveraged Machine Learning, Computer Vision, and Google OCR to develop an AI-powered parking management app. A deep-learning model was trained on 10,000+ images to enhance accuracy across various environmental conditions. The solution integrated digital payments, predictive analytics, and an intuitive UI for seamless parking operations.

AI-Based License Plate Detection: Ensured 99.98% recognition accuracy in varied conditions.
Zoom & Capture Feature: Adjustable zoom (1x–8x) for detecting plates at different distances.
Cloud Integration: Real-time syncing with the backend for instant data access.
Predictive Parking Analytics: AI-driven insights for optimizing space utilization.
Digital Payment Gateway: Enabled contactless transactions for faster checkouts.
Automated Permit Management: Streamlined access control for frequent users.

The Impact

Within months of launch, the AI-powered solution was deployed in 1,000+ parking lots across the U.S., analyzing over 80,000 vehicles with 99.98% accuracy. The mobile-based approach significantly reduced hardware dependency, lowering operational costs while improving surveillance efficiency. The app’s ability to recognize vehicles moving at 50-60 mph set a new standard in parking automation.

Conclusion

Unthinkable’s innovative AI-driven solution transformed parking management, improving security, efficiency, and customer experience. The client now plans to scale the system to additional locations, incorporating advanced features like real-time occupancy tracking and AI-based congestion predictions. With ongoing upgrades, the solution continues to redefine smart parking management.