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Car Parking Twin

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Customer

A Parking management company in USA handling more than 200+ Parking lots.

Project Details

  • Duration: 2 month+

Technologies:

  • Deep Learning
  • Node JS
  • MongoDB
  • PostgreSQL
  • RabbitMq
  • Redis
problem-img

Problem

  • Finding available parking spots, especially during peak hours, is a daily challenge for commuters. 
  • Sensor-based solutions involve high financial and labor overheads.
  • There’s 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.
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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

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

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.

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