Real-time Vision System for Driver-assistance

Project Title

Real-time Vision System for Driver-assistance

Project Area of Specialization Artificial IntelligenceProject Summary

Project Summay:

Self Driving Car

We are building a self driving prototype car which can drive autonomously using computer vision techniques.
We are using "Raspberry Pi 4 Model B" as our main computer.This car can detect road lanes and follow the path accordingly.It can also detect traffics signals and perform accordingly.

 

Project Objectives

Project Objectives:

• Build a self-driving vehicle that can drive without
  humans
• Provide a futuristic solution to urban traffic control
• 90% reduction in traffic deaths

Project Implementation Method

Implementation Methodology:

• We are implementing our project in micro-processor raspberry pi 4
• We are using micro-controller Arduino UNO as our slave device 
• We use nano camera to take real-time footage of the environment
• A servo motor to control left and right steering angle
• We are working in python language and use its libraries especially Open-CV
• We are using CCN model to detect our sign boards 

Benefits of the Project

Benefit of Project:

If we implement this project in real life then

• 90% reduction in traffic deaths
• 60% drop in harm-full emissions
• 10% improvement in fuel economy
• 500% increment in lane capacity

Moreover we are gaining alot of information regarding self-driving car in practical way so that we may apply in Tesla Jobs. which is the biggest company in field of autonomous cars.

Technical Details of Final Deliverable

Final Deliverables:

• We print 3D model of Cyber-truck and implement our all hardware inside it
• 7 inch LCD mounted on car to display all real-time data
• A track made up of card boards
• A complete self driving car prototype which can drive without humans  

Final Deliverable of the Project HW/SW integrated systemCore Industry TransportationOther Industries Education , IT Core Technology Artificial Intelligence(AI)Other Technologies 3D/4D PrintingSustainable Development Goals Sustainable Cities and Communities, Life on LandRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	79250
Raspberry pi 4 model B	Equipment	1	31000	31000
Neural Compute Stick 2	Equipment	1	19000	19000
4WD RC smart Chasis with servo and motor	Equipment	1	5500	5500
8MP Raspberry pi camera module v2	Equipment	1	6500	6500
Battery 20,000mah(power bank)	Equipment	1	6000	6000
Arduino UNO	Equipment	1	1250	1250
Surplus	Miscellaneous	1	10000	10000