Client’s Overview:
A start-up company looking to make its mark in Parking Solutions, with an aim to introduce innovative products and solutions for the parking industry.
Challenges:
The client’s existing solution in the market was fragmented and was not having the parking assistance and guidance system to manage the entire parking process efficiently.
Solution & Approach:
The solution was developed by upgrading the existing system to an efficient smart parking solution that could provide –
- Single solution automated parking system
- Tracking of vehicles entering the parking
- Capturing registration plates using Automatic Number Plate Recognition (ANPR) at entry and exit points
- Monitoring parked vehicles via images (through wired and wireless IP cameras) – Visual feedback ensured the safety of parked vehicles; keeping tabs on the parked vehicles through real-time images and real-time image analysis to detect occupancy
- A simple system that is easy to operate and requires minimal intervention by operators
- An Android and iOS-based app with intuitive UI for advance booking of parking.
- Integrated a cloud solution to host web-based software. It can perform functions like configuring sites, setting billing patterns, providing booking interfaces, generating tickets, maintaining accounts, and giving periodic reports.
- Billing mechanism for both operators and users along with flexible billing plans based on the time of the day and availability detected by historical data from the parking site
Results
The developed solution provided an effective parking assistance and guidance system, resulting in the desired smart parking solution that increased the convenience of users and facilitated easy parking.
Outcome:
The solution with upgraded and efficient parking assistance and guidance system has been deployed successfully on the field.
- Parking Assistance/ Guidance System
- IoT
- Mobile Applications
- Web Based Applications
- 1.4GHz NVIDIA Tegra 3 ARM SoC
- 4GB 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 detention
- 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, Java Script, jQuery, OTP Authentication, SMS Gateway for Web Based Application
- Visual Studio, Android Studio, X-Code IDE
- MS SQL Server
- Mobile Communication using REST API