Car Parking Twin

Problem

• Finding available parking spots, especially during peak hours, is a daily challenge for commuters.
• Sensor-based solutions involve high financial and labor overheads.
• Theres poor in-lot navigation and no real-time updates. It leads to delays caused by vehicles circling in space.
• A lack of a centralized car parking monitoring system results in inefficiencies across facilities.

Solution

We developed a Computer Vision solution that transforms traditional parking setups into smart ecosystems.

• The system acts as a smart parking technology alternative. It analyzes video feeds in real time to detect spot occupancy.
• It has a user-friendly interface that is presented as a real time parking availability app and displays available spaces to drivers.
• Facility operators manage operations via a cloud dashboard by offering a comprehensive parking management solution.
• The solution also works as a parking management app with live space tracking, zone-wise analytics, and alert systems.
• It is an AI-based parking system. It is designed to reduce congestion and improve user satisfaction.

Implementation Challenges

• Ensuring high accuracy in spot detection using cameras without relying on expensive ground sensors.
• Handling varied lighting, weather, and vehicle types in open or covered lots.
• Building a scalable system that integrates easily with a parking lot management system.
• Making the solution mobile-friendly and compatible with existing infrastructure.
• Providing seamless user experience in a car parking app format.

Key Features

• Real-time detection of available spots with visual feedback.
• Scalable architecture for indoor/outdoor lots.
• Centralized dashboard for facility wide parking lot management system control.
• End-user access via a mobile car parking app.
• Minimal hardware dependency and no sensors are required.
• Live updates and navigation support. It is through a real-time parking availability app.
• Energy and cost savings are possible through automation and efficiency.