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🚗LoKi

Github Repository Code Link -: https://github.com/aaditrychoudhury/IntelOneAPI

Problem Statement - Object Detection For Autonomous Vehicles

This project serves as a showcase of an advanced and refined application of contemporary headlight technology in modern vehicles. Beyond the conventional low and high beams, its purpose is to exemplify the enhanced capabilities of LEDs in promoting safer driving conditions during low light or dark environments. By harnessing the flexibility inherent in LED technology, this project demonstrates the capacity to illuminate a significant portion of the road while ensuring the absence of blinding effects for both oncoming and preceding traffic, thereby prioritizing the safety of all drivers involved. image"

intel-oneAPI:

Team Name - Benaam

Team Leader Email - Yuvraj Singh Deora -: 06yuvraj2001singh@gmail.com

How it works:📃

The goal of this prototype is to offer appropriate road illumination while also decreasing glare for approaching and retracing vehicles. The goal is achieved by integrating two distinct but connected systems into a single functional whole. The first system maintains the LED matrix hardware, while the second identifies moving targets using a video stream and an object detection model. This combination enables the system to detect vehicles, locate them, and adjust the lights for visibility. Using these coordinated parts, the project shows how LEDs may be used to improve road safety.

Demo Video

Youtube Video-: https://youtu.be/hCPSCrTQUeg

Demo_Video_FInal_converted

Strengths of LoKi 📈:

  • Robust object detection leveraging image processing and ML-DL algorithms
  • Integrated LED matrix within the car's body for effective visual cues
  • Low-cost implementation utilizing affordable hardware components
  • Enhanced driver awareness leading to reduced accident risks
  • Customizable and compatible with other systems for comprehensive driver assistance integration

Framework 🔦:

All necessary technologies used to Build the prototype are:

Activity Diagram

image

Architecture Diagram

image

Steps to Run

  • Fork this repo
  • Clone on your local machine
https://github.com/aaditrychoudhury/IntelOneAPI.git
cd IntelOneAPI
  • Open VehicleDetection.py file in any Python Editor
  • HIT Run

Learnings 💻 :

Write about the biggest learning you had while developing the prototype

Contributors

With ❤️  by Team Benaam