Automatic Cart Movement Trailer
issue 1

Automatic Cart Movement Trailer

1Husain Bohra, 2Dolly Chouhan, 3Megha Akare,4Nikita Guhe,5Prof. Shailesh Kurzadkar
1,2,3,4Student, 5Professor, 1,2,3,4,5Computer Technology, KDK College of Engineering, Nagpur, India

Abstract:

With huge achievements of science and technology in automation proved to be a key to forge future. Automatic cart movement trailer is a combines two of the main activities performed constantly i.e., motion and dragging. The project will move using the wheels attached to it. Whereas, dragging will be done by the remote- control cloud-based and programmed Wi-Fi module attached to the cart along with the controlled Ultrasonic sensors. This technology is needed as it decreases human effort and makes it convenient to trail the baggage or luggage without having to pull it actually. Other than this, the project will also contain an API modeled code which will give an alert to the owner of the project by the means of alarm or mail which will inform that the product has been separated by its targeted object or has exceeded the range of the modeled ultrasonic sensors. Using Internet of Things technology, a cloud based Wi-Fi module will send the data to cloud giving the acknowledgement of distance and affirming that the cart is in range with the targeted object or not and the computing platform enables the cart to follow its targeted object using the code and the algorithms includes in it and the cart will move.

Index Terms- Automation, cart, motion, API, wi-fi, cloud, message, alarm, distance, range, technology, IoT, ultrasonic, following

I. INTRODUCTION

In last few years automation has taken a huge advancement and development in the field of technology. Information can be provided very easily to the machines and they can acquire the requirements and work according to it. Automation provides its end-users with the quality of efficient work and less time-work for accomplishing a task. This project is a proposal to make humans do less effort with more work use. It provides ease for the pulling and carrying of the luggage. For example, Line follower robot. IoT (Internet of Things) is integrated within the cart to provide various details i.e., it will notice whether the distance between the cart and the targeted object is within the requirement or not, it will provide its best to maintain that distance and if the distance goes more than its limit, then it will give an alert.

II. PROBLEM STATEMENT

In this era of technology, it has been found that there is lack of technology when it comes to carrying a load and to take it away with the person. Heavy luggage, pulling or pushing of various carts or other machine takes human effort and in the end gives restless pain and everlasting health problems to human. This project focuses on various points:

  • Heavy Baggage
  • Absence of Mind causing loss of luggage
  • Tough for Old Aged People
  • Farming Problems
  • Land Optimization and Irrigation

III. RELATED WORK

Mehran Pakdaman, M. Mehdi Sanaatiyan [1] proposed in their project that, the Line follower Robot which can detect and lead the way followed by the line drawn on the floor. It can also be used in motion trajectory to construct the object storage system and can be considered as self-operated machine. The Infrared Ray (IR) sensors had been installed under the robot which is capable to find the line. We found the functioning of following the targeted object using IR sensors, the process of self-operation and analyze its applications for IoT in this project. Mustafa Engin, Dilşad Engin [2] showed the Path planning of line follower wheeled mobile robot. To receive data from IR Line sensors the micro-controller is chosen which react towards it. To improve the navigation reliability a dynamic P. I. D control algorithm has been proposed which can work under the system real-time requirements. Through experiments we can see the proposed algorithm can successfully achieve target following in various scenarios, which includes straight line, circular and sharp- turn motion.

IV. METHODOLOGY

1. ARDUINO

Arduino is made of a physical programmable circuit board (microcontroller) and a part of software, Integrated Development Environment which works on computer, used to compile the computer code and upload it to the physical board [3].

1.1.1 Arduino requires following configuration:

  • Microcontroller – Atmega328P – 8 bits
  • Analog Input Pins – 6 (A0-A5)
  • Digital I/O Pins – 14 (6 for output)
  • DC Current – 40 mA (on I/O Pins)
  • DC Current on 3.3V Pin 50 mA

1.1.2 Arduino connects to the L298N motor module of cart and shows movement as per the direction needed. Arduino has been proved as an easy tool for the students having no knowledge in electronics and programming. Fast prototyping can be done using this simple tool. It has affected many communities due to its simply accessible user experience.

1.1.3 Arduino is used as a brain for many projects for a long period counting from everyday objects to expertise instruments. They are open-source which allows user to construct them freely and make it as per user requirements.

2. INTERNET of THINGS

Internet of Things is a computing concept system in which various physical objects are connected to the internet without wires and are able to individualize themselves to other devices. Internet of Things is capable of transferring the data over network without the need of human-to-human or human-to-computer data transfer. It provides the interface between internet and the devices which will give the output as an automation working of the device. Like servers are used to store the information of local computers, similarly in Internet of Things’ cloud computing is used to store the data and information which provides the data when and where required through internet connectivity.

Fig 2: IoT (Internet of Things) Cloud

IoT may include sensing, wireless technologies or even QR codes when required as it is user friendly and work according to the algorithms given by user to fulfill user requirements. IoT is closely identified by RFID as it is means of communication to connect between device and cloud.

A. Wi-Fi Module
This is where all the codes will be compiled and deployed to the cloud for gaining wireless connection. Bolt’s Wi-Fi module is the basic hardware which contains a Wi-Fi integrated circuit which provides the connection of Internet through the Internet Service Provider to the module which in-turn connect the module to the cloud.

Fig 3: Wi-Fi Module

A. Wi-Fi Module
This is where all the codes will be compiled and deployed to the cloud for gaining wireless connection. Bolt’s Wi-Fi module is the basic hardware which contains a Wi-Fi integrated circuit which provides the connection of Internet through the Internet Service Provider to the module which in-turn connect the module to the cloud.

B. Ultrasonic Sensors
Ultrasonic Sensors are used to find the targeted object and used to maintain contact with it till a distance of 2 cm – 4 m. They are the highest technological sensors which are used in the cart to sense the targeted object and remain in its radius of 2 cm – 4 m around that object.

Fig 4: Ultrasonic Sensors

C. SMS/ Buzzer technology
APIs are the connection made between a third-party application and the Internet of Things Wi-Fi module which allows to send data in terms of text sharing the status of the module if it reaches or touches a maximized value which is marked in the algorithms of the module. In this project, this technology is used to give a notification to the user providing knowledge that the targeted object is not in the range of the module i.e., 4 m. If so happens, then the module will send mail to the respective user about the condition occurred.

3. MOTOR DRIVER MODULE- L298N

Fig 5: L298N Motor Driver Module

The L298N Motor Driver Module helps in movement of wheels when the instructions from Arduino board are given to them. This will create a structured format of movement which will communicate with the wheels and with the circuit board as well to provide proper direction and movement to the cart.

V. EXPERIMENTAL SETUPS AND RELATED RESULTS

A. Buzzer Implementation using Bolt IoT:
The connection done in the device is the alert system which will produce a sound when the device gets away from target by a particular distance.

Fig 6: (a) Buzzer setup (b) Buzzer Output

B. E-Mail Alert using Python:
Prompting the device to send an alert to the user informing using Python Programming that the device has lost the target and has stopped following the target which acknowledges the user to reset device and work accordingly.

(a)

Fig 7: (a) E-mail Setup (b) E-mail Output

C. The Final Setup of Device:

Fig 8: The Final Setup
Fig 9: Working of Project in normal conditions
Fig 10: Working of Project in abnormal conditions

VI. CONCLUSION

This project identifies that automation can be achievable in near future which can be used in each and every field which is related to living species and its environment surroundings. This project brings a new definition in the history of movement of wheels by adding automation in the regular lifestyle. IoT brought a whole new revolution in the lifestyle by providing ways in which such beneficial projects and startups could be developed.

VII. FUTURE SCOPE

This application can be used in any moving machine which needs to follow a specified targeted object. In future, AI can be compiled in this application to make the device smarter and more specific to its object

VIII. ACKNOWLEDGEMENT

We thank each and every person who took involvement with us throughout the project and gave us confidence. Small efforts can also lead to biggest achievements. Without them, we could have never reached this level of success in this project. We thank our teachers, guides and colleagues for their thankful support.

REFERENCES

  1. Husain Bohra, Dolly Chouhan, Megha Akare, Nikita Guhe, Prof. Shailesh Kurzadkar, “Survey on Automatic Cart Movement Trailer”, Volume 06, Issue 09, Sep 2019 International Research Journal of Engineering and Technology
  2. Mehran Pakdaman, M. Mehdi Sanaatiyan, “Design and Implementation of Line Follower Robot”, 2009 Second International Conference on Computer and Electrical Engineering.
  3. Mustafa Engin, Dilşad Engin, “Path Planning of Line Follower Robot”, 2012 5th European DSP Education and Research Conference (EDERC).
  4. Dr. Antonio Carlos Bento, “IoT: NodeMCU 12e X Arduino Uno, Results of an Experimental and Comparative Survey”, Volume 6, Issue 1, January 2018, International Journal of Advance Research in Computer Science and Management Studies.

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