Case Study - Smart Parking

The Customer

The customer is a startup company looking to make its mark in Parking Solutions space by coming up with innovative products and solutions.


  • The parking solutions available in the market were fragmented, not a single solution allowed entire workflow from searching the parking to billing at exit.
  • The occupancy sensed in existing parking solutions was based on sensor which do not give visual feedback on safety of the vehicle.
  • The existing parking solutions do not keep track of the vehicles registration numbers.


  • An ideal parking solution should have cameras to check for occupancy so that the customer can be updated with a real time image of the vehicle periodically
  • The solution should give of customers the ability to complete a booking for a specific parking spot in advance using mobile or web based user interface
  • The solution should also cover entire billing mechanism, including users and operators
  • Added flexibility of billing plans based on time of day, and the day itself should be available, and be aided by historical data from the parking site(s)


  • Designed a parking solution which supports wired and wireless sensors of the type image and ultrasonic
  • The solution has a cloud hosted web based software capable of configuring sites, setting billing patterns, provide booking interfaces, generate tickets, maintain accounts and generate reports; the admin panel was designed to be user friendly and robust at the same time


  • A single solution supporting all operations of an automated smart parking system
  • An automated system keeping track of vehicle entering the parking space, capturing registration plate using Automatic Number Plate Recognition (ANPR), monitoring parked images by taking periodic images and capturing the registration plate at exit again
  • An operationally simple system for the operators taking minimal intervention
  • Real time image analysis for occupancy detection
  • An android and iOS based application was designed to provide the end users with an intuitive interface to book the parking in advance

Technology Areas

  • Parking Assistance / Guidance System
  • IoT
  • Mobile Applications
  • Web based Applications


Vehicle Counter & Classifier


  • 1.4 GHz NVIDIA Tegra 3 ARM SoC
  • 4 GB NAND Flash
  • On board Interfaces: Ethernet, RS485, WiFi
  • Interfaces to Wired and Wireless IP cameras.
  • 7” TFT LCD panel
  • Boom barrier automated control
  • Real time ANPR detection
  • RS485 and Zigbee based Ultrasonic sensors for occupancy detection


  • C and Python for ARM controller code


  • Native Android (Android Phone) and Objective C (iOS) for Smart Phone Apps
  • ASP.NET MVC 5, Entity Framework 6, JavaScript, jQuery, OTP Authentication, SMS Gateway for Web based application
  • Visual Studio, Android Studio, X-Code IDE
  • MS SQL Server
  • Mobile Communication using REST API

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