People Safety is Our First Priority

WELCOME TO ROAD SAFETY APPLICATION

Several people are injured and killed in road accidents every year. Pedestrians, Riders, Bike Riders, car drivers and other vehicle passengers throng the roads daily for everyday chores which could easily put their lives to risk.

RULES BY GOVERNEMENT

Eyes Can Not See Every Thing But Cameras Can

Face-Detection

With the increase in the number of automobiles, it has become increasingly challenging to track them and almost impossible to identify the owners of these vehicles in case of violation of any traffic law

USE FEATURE

Eyes Can Not See Every Thing But Cameras Can

Get Details from Number Plate

Vehicle Number Plate Recognition (NPR) or License Plate Recognition (LPR) or Registration Plate Recognition (RPR) is an enhanced computer vision technology that connects vehicles without direct human connection through their number plates

USE FEATURE

GET DETAILS FROM NUMBER PLATE

We have used OpenCV to detect the number plate - ANPR(Automatic Number Plate Recognition)

  • Detect and localize a license plate in an input image/frame
  • Extract the characters from the license plate
  • Used EasyOCR for Optical Character Recognition (OCR) to recognize the extracted characters

BROWSE OUR WORK

FACE DETECTION

Face detection using Haar cascades is a machine learning based approach where a cascade function is trained with a set of input data.

  • OpenCV already contains many pre-trained classifiers for face, eyes, smiles, etc.
  • The trained classifier XML file (haarcascade_frontalface_default.xml), which is available detects the face
  • The dlib library provides functions that can be used for face detection

BROWSE OUR WORK

OUR TEAM

Meet the Team Debuggers. Share your thoughts with them.

  • Jaswnth Sai K

    Web Developer

  • Aparna J

    Python Expert

  • Rishab Rajput

    Python Expert

  • Parithosh J

    Python Expert