Smart Integrated and Guarded with Navigation Autonomous Luggage

1. Problem statement To help the people, to provide security to the bag and to make human traveling more efficient and less effort using technology, we have built up the idea of the S.I.G.N.A.L - Smart Integrated and Guarded with Navigation, Autonomous Luggage. 2

Project Title

Smart Integrated and Guarded with Navigation Autonomous Luggage

Project Area of Specialization

Robotics

Project Summary

1. Problem statement
To help the people, to provide security to the bag and to make human traveling more efficient and less effort using technology, we have built up the idea of the S.I.G.N.A.L -
Smart Integrated and Guarded with Navigation, Autonomous Luggage.
2. Background information
Traveling has become one of the most important aspects of human life. Air travel is the most popular mode of transportation in today's world. Whenever people travel, they carry their luggage in a bag, especially at airports. Dragging the luggage all over the place has been done since the golden ages. Carrying luggage is a difficult task for each and every passenger which requires a huge human effort with security. It has always been a matter of distress for old people. Also Suitcase mix-up is the most dreadful experience shared by a number of tourists on a regular basis. All robotic advancements nowadays are designed to save manual effort on physical tasks and to tie up between the machine and man which makes the work smarter. The main idea of SIGNAL is to develop a robot that follows its owner everywhere. Bags are frequently lost or stolen from public areas many times during traveling. In our proposed approach, we are solving these flaws.

3. Methodology used to solve the problem
We will design a four-wheel robotic bag. We will be using four wheels to ensure the proper movement of the bag in which two wheels will have motors that will be controlled and
operated by motor drivers dragging. Raspberry Pi is used as a microcontroller. It is used to control the entire operation in the bag. We will implement advanced technology using an
IoT based notification system. It will notify the user if the bag is lost. The location of the bag can be identified using GPS tracking. To follow the owner, we have developed an
algorithm. Using the Machine Learning model MobileNet SSD v1 (COCO) and the TensorFlow Lite interpreter, the bag detects the presence of a person in the camera frame.
We will also implement obstacle detection and avoidance algorithm with the help of Artificial Intelligence. Furthermore, to secure our bag from burglars we will add a Pin code
lock system.
4. Major findings
• Human tracking algorithm to follow the owner
• Object detection and avoidance using ultrasonic sensors and artificial intelligence
• GPS module to avoid misplacement of bag
• Pin code lock system for security purposes
• Removable battery to power itself

5. Conclusion
The SIGNAL eliminates every disadvantage of the conventional luggage we previously used. The market is still new and has potential to accept the new face of luggage. The SIGNAL will ensure its safety and provide security for its user.

Project Objectives

We've all experienced the frustration of dragging our luggage through an airport. It's a time- consuming process that aggravates our tiredness and difficulty during the journey. The aim of SIGNAL is to develop a project that could be user-friendly. It is auto trailing technology that minimizes human efforts. The core objective of our project is discussed below:
• To make our lives easy and to make human traveling more efficient using technology.
• The bag's primary objective is to follow you around with the help of an Algorithm. People don’t have to drag the bag manually. The bag is intended to follow the owner everywhere all alone without the need of hauling it. When you move forward, it moves forward with you; when you stop moving, it stops moving as well.
• We will avoid obstacles using a machine learning algorithm as well as ultrasonic sensors. The bag follows its owner everywhere. It will check whether there is any obstacle or not, using an ultrasonic sensor. Furthermore, we will avoid the obstacles. It will also check ground proximity to avoid theft.
• Don't worry about misplacing your luggage! There will also be a feature that will allow you to track the location of your luggage in order to prevent theft and loss. It will have an
onboard GPS module through which we will track its location.
• The SIGNAL will have an anti-theft feature to help travelers travel without any kind of fear. This will be accomplished via app notification, alerts, and alarms which are activated
when the bag is moved out of range.
• To protect our bag and to secure the items inside the bag, we will implement a pin code lock system in which the bag is unlocked by providing a passcode.

Project Implementation Method

Our goal is to design a four-wheel robotic bag. We will be using four wheels to ensure the proper movement of the bag in which two wheels will have motors that will be controlled and operated by motor drivers. Raspberry Pi is used as a microcontroller. It is used to control the entire operation in the bag. We have designed a prototype up till now. To develop a project we need some tools. There are some components used in this project which are as follows.

Components

• Raspberry Pi 4 with Case & Fan
• Ultrasonic Sensors
• Custom Motorized Wheels
• Motor Driver BTS7960
• GPS Module (Neo 7M with antenna)
• Arduino UNO / Node MCU
• USB Camera/ Pi Camera with Camera casing
• DC motors
• Buck Converter
• Google Coral USB Accelerator
• 3D Printing
• Lithium-Ion Battery (24 Volts)

Body Movement
People don’t have to drag the bag manually. The bag is intended to follow the owner everywhere all alone without the need of hauling it. To follow the person, we have designed an algorithm. The bag detects the presence of a person in the camera frame using the Machine Learning model MobileNet SSD v1 (COCO) and the TensorFlow Lite interpreter.

Obstacle Avoidance
We will avoid obstacles using a machine learning algorithm as well as ultrasonic sensors. The bag will follow its owner everywhere. It will check whether there is any obstacle or not, using an ultrasonic sensor. It will also check ground proximity to avoid theft.

Location Tracking
The location tracking feature will allow the owner to locate the accurate position of the bag using GPS module in case the bag is lost or stolen. 

Security Lock
To protect our bag and to secure the items inside the bag, we will implement a pin code lock system in which the bag is unlocked by providing a passcode.

Benefits of the Project

Bags have always been an important part of travel, whether it's a travel bag, a plastic bag, or even a leather bag. Each bag has its own significance and serves a different purpose. Dragging the luggage all over the place has been done since the golden ages and it requires a lot of human effort
especially carrying heavy luggage has always been a matter of distress for older people, for disabled people or for people who are having any kind of injury like shoulder or neck injury, any accidental injury or back pain problems, etc. Thinking of a luggage which conveys its weight, tracks its location, avoids obstacles, which follows the user automatically or manually, by the touch of the present technology to the old luggage it may bring out its true potential. This has motivated the project all along so that it is user-friendly and easily transportable.

So, SIGNAL is an innovative idea that makes traveling easier and smoother. Because of the lack of security, there is a higher risk of bag theft while traveling. In our proposed approach, we are solving these flaws. We will implement advanced technology using an IoT-based notification
system. It will notify the user if the bag is lost. It will also provide the facility of tracking the location of the luggage using GPS to avoid the misplacement of luggage. Furthermore, to secure our bag from burglars we will add a lock system in case the bag is stolen.

Technical Details of Final Deliverable

It will be able to achieve the following goals.

• A Bag will be shown that will follow the owner utilizing sensors and will detect the obstacles by combining the approach of AI and hardware and will avoid collisions from them by moving itself in another direction using customized wheels.
• The app will link to the cloud which will be building a connection with a bag through which all security features will be implemented and the owner will be receiving push notifications via the app in case of theft.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Core Technology

Robotics

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

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