Business Situation and Requirements
Organizations managing parking and vehicle access often face significant challenges due to their reliance on costly, hardware-heavy surveillance systems.
To address these issues and improve operational efficiency, the client sought technology-driven solutions to simplify security, surveillance, and access management. Traditional parking surveillance and license plate recognition systems, however, remained expensive to deploy and prone to inaccuracies. To overcome these limitations, the client developed a mobile-based solution capable of automatically detecting and analyzing vehicle license plates, while seamlessly integrating the captured data with their existing systems to enhance scalability and reduce dependency on complex hardware.
With their aim in mind, the key requirements include:
Mobile-based parking management system: Conceptualize, design, and develop an intelligent mobile app for parking management.
Automatic license plate recognition: Integrate AI to detect and analyze vehicle license plates with high accuracy automatically.
Time and activity tracking: Capture parking durations and usage patterns and transmit the data seamlessly to a central system.
AI-driven analytics: Implement AI-powered analytics to track traffic patterns, vehicle types, and peak hours, delivering predictive insights.
User-focused UI/UX: Design an intuitive, user-friendly interface for both visitors and parking operators.
Digital payments integration: Integrate secure digital payment methods to save time for visitors and improve operational efficiency for parking operators.
