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Advanced Driver-Assistance System using Python and Computer Vision

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Advanced Driver-Assistance System (AutoMate)

Proof of Work

ADAS.1.1.mp4

Footage captured on route:- Khadi Machine Chowk to Katraj (Pune, Maharashtra, India)

Description

This project presents a vehicle assistant system designed to enhance driving safety and efficiency using advanced computer vision and deep learning techniques. The system incorporates a range of features, including object detection, lane detection, reverse assist, blind spot monitoring, and parking assist.

Motivation

Inspired by rising road accidents, we sought to develop a low-cost, accessible solution to improve driver safety, and enhance the overall driving experience. As well as saving the currently available vehicles from getting irrelevant in the upcoming age of self-driving cars

Features

  • Object detection (pedestrians, vehicles, traffic signs)
  • Lane detetion
  • Reverse assist
  • Blind spot monitoring
  • Parking assist

System Architecture

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At the heart of the system lies a neural network, which processes the video data, frame by frame in real-time. Each frame gets analyzed the objects in the frame are identified and combined with computer vision techniques, audio alerts are generated.

Results

Object Detection

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Lane Detection

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Blind Spot Monitoring

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Proximity Monitoring / Side Parking Assist

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Rear View Parking Assist

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Comparative Analysis

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Registered in Indian Journal of Copyrights

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Certificate - https://drive.google.com/file/d/1RKOswW-V6KvRBhvwlueQ6DJOChT6rUcl/view?usp=sharing

Research Papers

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Advanced Driver-Assistance System using Python and Computer Vision

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