Development of Vehicle Control System based on Artificial Intelligence for Warehouse

World is moving towards control and automation and we are living in era of 4th industrial revolution where the modern technologies like IOT (internet of things) and AI (Artificial Intelligence) makes the control and automation more efficient and augment the productivity. This project implemen

Project Title

Development of Vehicle Control System based on Artificial Intelligence for Warehouse

Project Area of Specialization

Artificial Intelligence

Project Summary

World is moving towards control and automation and we are living in era of 4th industrial revolution where the modern technologies like IOT (internet of things) and AI (Artificial Intelligence) makes the control and automation more efficient and augment the productivity.

This project implements development of vehicle control system for warehouse using GPS guidance and Artificial Intelligence implementation. Vehicle moves in various defined Stations of warehouse without any need of driver and can be used for multiple purpose like moving items from one station to another. Vehicle is operated from Mobile App in which user choose the destination i.e. (station), once the station is selected it means you provide the GPS coordinates to vehicle, which were followed by vehicle to reached the desire destination. On the other side Artificial Intelligence algorithm keeps the vehicle on track as well as makes vehicle nonhazardous for workers. GPS Module (Neo6m V2 U blox) provides GPS coordinates,  Magnetometer Compass Module (GY-273 HMC5883L) used to head vehicles towards given GPS coordinates, there is one camera which continuously provides camera feed to controller (Raspberry pi 3B+) on which controller perform Artificial Neural Networks algorithms like Convolutional Neural Network for Lane Detection  and Human Collison Avoidance, these all parameters collectively makes the vehicle smart control and mimic the human behavior of driving the vehicle.

The system block diagram is proposed in figure 1:

Project Objectives

We aim to replace normal Warehouse Cart by our smart vehicle that leads to reduce manpower which can be utilize for other purposes, increasing the productivity and gives the worker immersive experience to modern technologies. To develop vehicle control system based on artificial intelligence at low cost.

The key project objectives are stated here.

• Development of vehicle control system of kids ride on car.
• Interfacing of GPS and Compass to performing GPS path tracking.
• Interfacing of camera for computer vision, lane detection and human collision avoidance.
• Development of convolutional neural networks for lane detection and human collision avoidance.
• Interfacing of dc motor with encoder for steering control.
• Develop serial communication between Arduino mega 2560 and Raspberry pi 3B+.

Project Implementation Method

Our project is based on Automation and Artificial Intelligence, for that, we created a smart control of kids ride on car. As we implement two key feature one is GPS guidance and the second one is Artificial Neural Networks to make the vehicle fully autonomous. Firstly user interact with mobile application in which user choose defined station of warehouse, once the station is selected system knows the final destination GPS coordinate, the initial GPS coordinates fetched from GPS Module(Neo6m V2 U blox) which was present in system along with Magnetometer Compass module (GY-273 HMC5883L), after that compass gives the turning angle to Arduino Mega 2560, the dc motor with encoder present in steering with the help of PID control dc motor gives desired position and turn the steering to angle which was sent by Compass module to Arduino Mega. This is all about the GPS guidance for the Artificial Intelligence first step is to train Convolutional Neural Networks for Lane detection and Human Collision Avoidance, the camera feed sent to Raspberry pi, the Raspberry pi compare current frame to trained frame and gives the result by keeping vehicle on path, if any human presence occur in path then vehicle automatically stop and wait for the person to pass by, These all components and approaches makes the vehicle fully autonomous.

A flow chart is shown in below figure 2:

Benefits of the Project

We are entering a new industrial era knows as ‘Industry 4.0’, where automation and Artificial Intelligence increase our productivity, analytical capabilities and much more. Time is the crucial factor when it comes to shifting goods in industrial plants so in order To save time in the area where it's not actually needed and utilizing it to invest into operations to provide enhanced efficiency whether it's moving raw material from one station to another for faster production  or shifting the final product to its desired bay this is where our smart warehouse robot comes in handy it can provide more vigorous and accurate convenience for the goods at the same time eliminating human error once the destination is determined the robot will keep its motion on the path which leads to the desired location.

Technical Details of Final Deliverable

The final product is a kids ride on car embedded with GPS Module(Neo6m V2 U blox), Magnetometer Compass module (GY-273 HMC5883L), Arduino Mega 2560, the dc motor with encoder present in steering, PID control design for dc motor positioning which help the vehicle to head towards the given GPS coordinates, raspberry pi camera connect with raspberry pi which provide real time camera feed to raspberry pi on the basis of camera feed raspberry pi perform Convolutional Neural Networks algorithms to produce high precision of lane detection and human collision avoidance to keeps the vehicle on track.

The command sent to Arduino Mega by Mobile App which is design on BYLNK platform and by using PySerial Module the data of GPS and Compass Module sent to Raspberry pi, on which Pi perform simultaneously execution of operations.          

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Transportation

Other Industries

Education , IT

Core Technology

Artificial Intelligence(AI)

Other Technologies

Robotics

Sustainable Development Goals

Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Responsible Consumption and Production

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com