The project "Rassbery pi based Autanomus based line tracking robot using camera"is based n image processing and Machine Learning Approch using python as a background language.For controlling the robot car along the track we need to we need to detect line and aticipate turn:this allows the car to go
Raspberry Pie based Autonomous Line tracking Robot using Camera
The project "Rassbery pi based Autanomus based line tracking robot using camera"is based n image processing and Machine Learning Approch using python as a background language.For controlling the robot car along the track we need to we need to detect line and aticipate turn:this allows the car to go at full speed and reduce the speed before the turning.This is done is in two steps by proceesing the image from the image from the camera.we will present how we predict the line curvature after line detection and then focus on the two approches we explored to spot the line center.We decided to aplly machine learning to detect the line,we wanted to train the model than can predict where is the line given an image as input.For emergency sitution we used ultra sonic SONAR and RIDAR to detect the object on the road.I chose to use a neural network because that was the method.i am most familiar with and it was easy to implemnt the pure numpy and python code.
Our project which is based on self driving car have many objectives.Our main objective is to reduce the accident on the roads and it will reduce the 90% crashes on the because there is always the mistake of driver.As the technology is emotionless so it will only follows the sign board on the road and traffic rules.It will introduce the new technology to the world.it is for the disable people who can't drive the car.we can also use this for military purpose.This is the our main objectives of our project
First of all we have studied about this project.we studied the reserach papers about this project we collect the data and anylise the data.we decided and start working on this project.Due to low resources we implement this on robotic car we can implement this on the real car if we have a good resources.As our project is based on robotic car so first of all we mounted the camera on the top of the camera from where the the camera take the input throug video,the camera send the images to rassbery pi for image proccesing which is aslo a controler.After the image processing the controler send the signal to the motors for the movement.
In real life the our project based on self driving car is now a days the trending technology.It will reduces the road acccident up to 90%.it will help the disable and blind people to reach to their destination easily.This will be the enivormetal freindly project as this will be electric cars.this will be used for Millitary purpose also.It will introduce the new technology to the world.This will create new jobs in the market and boost the economy
CAMERA
we use pi camera for taking the input
RASSBERY PI
We use rassberry pi 4 as a controller and for image processing
ULTRA SONIC SONAR
we use ultra sonic sonar for the object detection on the road
RIDAR
we use the radar to detect to detect the others car os object on the road
GPS MODULE
we use the gps module for the location of pick and drop destination.It also follow the path throug the GPS
MOTOR
we use four dc of 12volts motor for the movement of robot
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Rassbery pi | Equipment | 2 | 16000 | 32000 |
| Pi camera | Equipment | 2 | 3000 | 6000 |
| Lipo battery | Equipment | 2 | 3000 | 6000 |
| Dc motors | Equipment | 4 | 200 | 800 |
| Tyres | Equipment | 4 | 200 | 800 |
| Rebot body | Equipment | 1 | 500 | 500 |
| Ultra sonic sonar | Equipment | 4 | 400 | 1600 |
| Ridar | Equipment | 1 | 5000 | 5000 |
| Gps module | Equipment | 1 | 4000 | 4000 |
| Total in (Rs) | 56700 |
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