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https://doi.org/10.22214/ijraset.2022.48129
December 2022
International Journal for Research in Applied Science & Engineering Technology (IJRASET)
ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538
Volume 10 Issue XII Dec 2022- Available at www.ijraset.com
Smart Luggage System
Abhishek Jagtap1, Ashutosh Kabra2, Jayaprakash Dharmavaram3, Shital Raut4
1, 2, 3, 4
Vishwakarma Institute of Technolgoy
Abstract: For ages humans have travelled to different places in the world and have required luggage for supplies of goods and
other things. To make the travel experience of people better day by day new technologies are coming up. Going back to luggage
being made of leather and stuff to now luggage’s being smart luggage, technology is growing adversely. In this paper we would be
talking about the smart luggage system in which we would be aiming to solve difficulties faced by people while carrying luggage.
Index Terms: IR Sensor, Remote operated cart, Blynk , nodeMCU , Obstacle avoidance
I. INTRODUCTION
To make the people's journey comfortable, newer and newer technologies are coming up as we already know. In this paper we would
be talking about the smart luggage system in which we would be aiming to deal with the difficulties faced by people and much more.
There are many difficulties faced by people in carrying their luggage like stacking of telescopic handles where the passenger has to lift
the heavy load by himself thus making his travel experience worse. In places like India, people carry heavy luggage and have to
struggle to carry them from places and so to deal with these problems faced by people we have come up with this prototype.
In this model, we have provided two features for the ease of the passenger:1)automatic decision making luggage and 2) mobile
controlled luggage which can be used alternatively based on the user's choice. Automatic decision modules make decisions by using
sensors. These sensors send The information to nodeMCU and instead convey the message to the motors and wheels through the help
of the motor driver. More about this would be discussed in the methodology. Also for mobile control or manual mode we have used the
functionality but used blink app for controls of the luggage or vehicle.
II.
LITERATURE REVIEW
Up to this point, a lot of research has been finished on this kind of robot that comes into the category of the "Human Assisting Robots".
People have used different kinds of algorithms and logic to Implement their design ideas. The primary focus was to develop a robot
that follows a human/ target. In addition, some research work is also available regarding WIFI or Bluetooth controlled robot cars
using IoT. In research of P.L. Sanathana Krishnan, Smart Luggage carrier system with [1] theft prevention and real time tracking
using nano Arduino structure was developed, goal was to reduce human efforts of carrying luggage and security concerns. An
automated luggage carrier which is compact and lightweight, follows its user wherever they go with the help of signals transmitted by
the smart watch he/she is wearing. By this process the luggage can be easily transported autonomously or manually by choice.
Researchers have used different types of sensors for the detection process like a [2] laser sensor to detect the motion of legs and camera
module is used to find the person in front of the system. On the other hand, a distance sensor, that is an Ultrasonic sensor, is in use
to detect the distance between human and the robot so that a specific distance [3] robot can follow its user behind it. The sound waves
emitted by the ultrasonic sensor and get received by the sensor again after getting reflected from humans.
As for the research (Amit K. Sharma, 2021), the researchers build a human following robot which is capable of following humans
autonomously in a certain range. It uses [4] Ultrasonic sensor and IR sensor for human following. Ultrasonic sensor is basically a
device used to measure the distance of a target object by emitting ultrasonic sound waves which get reflected after hitting an object and
are received back Mostly human following robots contain different types of sensors like Ultrasonic, IR, [5] RFID, camera, ranging
sensors, wireless transmitter and receiver, laser, etc. for recognition and detection of target. The capability of robots to follow moving
objects can be used for various purposes like automated luggage carrier suitcases as well .
Wi-Fi control robot using Node MCU (R. K. Mistri) used Wi-Fi technology to operate the robot remotely using [6] ESP8266 Wi-Fi
module and Arduino UNO development boards. Blynk app is getting in use to operate robots manually via android phone. Blynk is an
android application where we can design interfaces according to our requirements.
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Volume 10 Issue XII Dec 2022- Available at www.ijraset.com
Also, the robot car can be operated using voice command and these commands can be accessed using an app which converts voice into
text. By voice command and manual mode the robot is able to move left, right, forward and backward. Ultrasonic sensors, the Global
Positioning System (GPS), the Global System for [7] Mobile Communication (GSM), a Bluetooth module, a mobile application, and
a power bank are the methods employed in this work. Even the locking mechanism uses fingerprints. It lacks a theft prevention
system. The user's phone and the bag are both connected to the Bluetooth module it possesses. They each receive a power bank to
charge their own devices. The bag may not always follow the owner because just ultrasonic sensors are being used. It might even
follow another person as well. If the bag is misplaced, the Global System for Mobile Communication (GSM) and GPS will be able to
find it, but only within Bluetooth range.
They employed a solar cell and [8] Radio Frequency Identification technique in this research (RFID). The solar cell, which is fastened
to the bag's front portion, recharges the battery. This allows for the charging of smartphones. It has a Liquid Crystalized Display
(LCD) screen that shows the users the schedule. It contains a warning system that notifies the user if there are any more books kept
in the bag. Radio Frequency Identification (RFID) tracking is an extremely laborious process and is not recommended. It mostly
benefits day students in schools and colleges. The bag is not commonly used because it is linked to a Bluetooth module. The benefits
include an alarm system and the ability to trace kidnapped individuals. The drawback is that solar cells won't always be useful.
Here, a Global Positioning System (GPS) module, an alarm, and an Arduino board—to which all other parts are connected—are
employed as the technique. In the event that the bag is misplaced, a map is built and synchronized to trace its location. The alarm
informs the user that the object has left its owner's line of sight. The alarm's benefit is that it will make it easier for the bag's owner to
locate and identify the bag. The drawback is that if the bags travel outside of the map area given to the server, they cannot be tracked.
It is challenging to engage with an application when using Arduino. Due to the use of Arduino, the system will be exceedingly
complex and difficult to use.
In this study, customers and their luggage are identified using radio frequency identification (RFID). Radio Frequency Identification
(RFID) tags are affixed to luggage and included in traveller tickets. The consumers' bags are tracked by Radio Frequency
Identification (RFID) scanners. There are three levels of testing in this case: unit testing, used to provide a system free of errors,
system testing, used to determine whether the work is harmonious and compatible with one another, and acceptance testing, the last
testing stage, which is then recommended to users and stakeholders. It can only be put into practice[10] in airports. It is applicable to
every place in the airline's network.
III.
ARCHITECTURE
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IV.
METHODOLOGY
A. Components Used
1) Node MCU
FIG.1. NodeMCU Image
NodeMCU is firmware that was created for the ESP8266 WIFI chip. It is Open Source. Espressif produced the low-cost WIFI chip
with the TCP/IP protocol. The NodeMCU Development Board includes WIFI functionality, analogue PIN, digital pins, and serial
communication protocols.
2) Ultrasonic Sensors
FIG.2. Image of Ultrasonic Sensor
This ultrasonic sensor is called HC-SR04. With numerous variations up to 3mm, this sensor offers measurement functionality from 2
cm to 400 cm. An ultrasonic transmitter, receiver, and control circuit are all included in each HC-SR04 module. You simply need to
be familiar with the HC-VCC SR04's (Power), Trig (Trigger), Echo (Accept), and GND pins (Low).
3) Infrared Sensors hw 201
FIG.3. Image of IR sensor
A 100mm IR sensor, the HW-201. It is frequently used to create products like hand sanitizer and chemical sanitizer. Input: used to
turn on relays, etc. Supply: 5 vdc Pin configuration Vcc: + 5 vdc Gnd: - 5 vdc.
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4) Motor Driver l298N
FIG.4. Motor Driver l298N
High power DC and Stepper Motors can be driven by this L298N Motor Driver Module. This module includes a 78M05 5V controller
and an L298 motor driver IC. It has the ability to direct and control the speed of 2 DC motors, or up to 4 DC motors.
5) Jumper Wires
FIG.5.Jumper Wires Image
Jumper cables are just wires with connecting pins at the end, allowing for non-attachment connection between two places. These are
frequently utilised along with breadboards and other instruments to simplify the circuit as necessary.
6) DC Motors
FIG.6. DC Motors
You should use this motor for your upcoming robotics project. Robots that trace lines well with this gearbox. The DC gear motor is
approximately and is made of plastic with vivid yellow hues. 0.85 inches broad, 0.7 inches thick, and 2.5 inches long. The gear motor
functions effectively between 4V and 7V, and the wheel can be installed on either side.
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B. Flow Chart
FIG.7. Flowchart of System
Above flowchart shows the decision making of /working of our model .It has two modes i.e. human following mode(0) and a remote
control car robot(1).When it is mode(1) we can control our car remotely through our mobile using Blynk app. We need to connect our
nodeMCU to internet for the connectivity between our WIFI module and Blynk server. Through Blynk we can change modes, adjust
speed and control the car remotely as long as there is connection between nodeMCU and the Blynk server.
When it is in mode(0) our sensors come into play. When the distance calculated by ultrasonic sensors between robot and us is between
13 cm and 30cm our car will start following us in forward direction. And when it reaches below threshold of 13 cm it will make
decision to stop or turn with the help of IR sensors.
V.
RESULTS
FIG.8.Luggage Cart testing
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FIG.9.Luggage Cart testing
The bot will now be able to track the person, following him according to his direction. As distance limits are set in the ultrasonic
sensor, the bot will automatically stop when the person stops walking.
VI.
CONCLUSION
As we know new things and new technology are being invented each and every day and this is a non-stop process. The proposed
system highlights and focuses on auto and manual drive in which we have designed a smart luggage system that is reliable for
transporting and carrying our luggage smartly. We have successfully built a prototype which is feasible for small scale but in the near
future we would be able to build a model on a large scale which would solve all luggage related problems in a smart way using
advanced technology.
We can make our car GPS based so that it can follow us with the help of mobile GPS rather than using sensors.
We can add utilities such as power banks, a small USB supported lcd touchscreen …etc to make our luggage system smart in true
sense. GPS tracker so that we can track our luggage in case it is lost.
REFERENCES
[1]
P. L. S. Krishnan, R. Valli, R. Priya and V. Pravinkumar, "Smart Luggage Carrier system with Theft Prevention and Real Time TrackingUsing Nano Arduino
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10.1109/ICSCAN49426.2020.9262445.
[2] D. F. Glas, T. Kanda, H. Ishiguro and N. Hagita, "Simultaneous people tracking and localization for social robots using external laser range finders," 2009 IEEE/RSJ
International Conference on Intelligent Robots and Systems, 2009, pp. 846-853, doi: 10.1109/IROS.2009.5354198.
[3] A. K. SHARMA, A. PANDEY, M. A. KHAN, A. TRIPATHI, A. SAXENA and P. K. YADAV, "Human Following Robot," 2021 International Conference on Advance
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[8] Shrinidhi Gindi, Irshad Ansari, Kamal Khan, Farooqui Bilal, “Smart Bag Using Solar and RFID Technology”, Imperial Journal of Interdisciplinary Research (IJIR),
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[9] Sudha Senthilkumar, Brindha.K, Rathi.R, Charanya. R, Mayank Jain, VIT, Vellore – 632 014. Tamil Nadu, India, “Luggage Tracking System UsinG IoT.
[10] [5] Deepti Mishra, Alok Mishra, “Improved Baggage Tracking, Security and Customer Service with RFID in Airline Industry”, Acta Polytechnica Hungarica, Feb.
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