NPlate360 – Number Plate Management System

NPlate360 is an Cloud Centralized Application which can support all the devices as an Hybrid Application to run in any device or OS for example like ; Windows, iOS, Android. This is our complete solution which can able to detects Number Plates and Match the records from Its own database provided by Customer or can be create data too by its self. You can search how many times and when this vehicle enters or exit.

  • Description

Product Description

Popular Use Cases of the Automated Vehicle Number Plate Detection System Include the following:

  • Effective traffic law enforcement
  • Vehicle theft prevention
  • Journey time analysis
  • Automatic parking management (Smart Parking)
  • Traffic management and traffic optimization
  • Automated collection of tolls and toll booth records
  • To assist visitor management systems in recognizing guest vehicles
  • Security monitoring and border crossings
  • A perfect solution while dealing with the new normality distances and touchless sanitary regulations.

 

 

 

How Does Vehicle Number Plate Recognition System Work?

The sole purpose of the automated system is to distinguish vehicles by recognizing number plates. This number plate recognition process is divided into three parts: Identification of vehicle number plate, Plate character recognition and segmentation, and OCR calculation to translate characters into encoded content.

The automatic license plate recognition system consists of digital image capture units (like high-speed cameras with IR filters), application software (like video analytics software), processors capable of performing various object and character recognition, different algorithms to capture information from fast-moving vehicles, and an alert capability to notify operators.  The system works like this:

  1. Moving vehicle number plate identification – It first detects the vehicles and then captures, normalizes, and enhances the image of vehicle number plates using a series of image manipulation techniques
  2. Number plate character identification – Then OCR extracts accurate information such as the alphanumerics of the number plates.
  3. Number plate character translation into encoded content – At last, the software verifies the sequence of those alphanumeric characters, converts them into text format, and stores the database.