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Recent Submissions
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Open Access
Medicine Delivery Drone
(North South University, 2023) Firoz Maisha; Rimi Sadia Islam; Md. Shahriar Hussain; 1911340042; 1821938042
Unmanned Aerial Vehicle (UAV) is becoming new generation revolution system in modern World. This is considered as ‘Drone’ technology using in various kind of work. In this report we are going to propose this sort of technology titled as ‘Medicine Delivery Drone’ for using multipurpose progress and development in helping regards to traffic management system. The motivation for this project is to reduce operational cost of any sort of short distance distribution of medical equipment. Also addressing the emergencies in disaster time, this project is going to be an essential and integral part in remote area where medicine responses are more likely a important things. Moreover, this technology will make the delivery of medicine more efficient and precise in short distance place where it needed the most. This project has been decorated with Hardware and Software Part. In Hardware part we construct this Drone by APM flight controller, DJI 2212 motors, DJI self-lock propeller, APM flight controller GPS etc. This project will illustrate to the solution of light weight medicine distribution to those places where reaching is very difficult. Undermining some future prospect, this project will further help us to reduce traffic jam related problem and this will be another well-being for the patients and people who frequently need medication in shorter period of time in place of unavailability of those medicine. In the software part, we made a website named "Medi-fly". The user of this website can use it for selecting their required medicine and share their location. After that, we may deliver their required medicine via our customized drone. In addition, the drone has a censored box that is used to keep the medicine and eject after arrival to the customer. For location we are using "Mission Planner" software.
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Open Access
Robot friend, based on Individual Personality, “FRIENDZIE”-your new friend with a non-judgemental feature.
(North South University, 2021) Fatema Alam; Anup Das; Harisul Islam Rony; Mushfiqul Abedin; A K M Bahalul Haque; 1610445043; 1120753045; 1621537043; 1310228042
We are living in the 21st century, where technology is evolving day by day. There are some good parts about this advanced technology, while there are some bad parts as well. There are people of different categories in our society. Some people are introverts; they are scared to express themselves in society, so instead, they lock themselves up in their own little bubble. Games like 'Blue Whale' gained popularity just because introverts exist. Our motive is to introduce an artificial best-friend robot named Friendzie, which will provide things you require the most, emotionally. Friendzie will work like a gesture detector robot and provide emotional gesture-dependent responding features according to your mood. Those who are shy and introverted can have Friendzie in their life. With the company of Friendzie, they can relieve stress and express themselves a bit. Through neural network algorithms, a set of data that converts human brain function and tries to make a copy of it. Friendzie is a kind of robot that is operated by one person. For example, Joey is an introvert; she barely has friends to spend time with. We make a survey regarding what Joey loves to do, her hobbies, her favourite song, her favourite books, and then insert all the data into Friendzie. Friendzie will be a perfect artificial bestie for Joey. Depression kills people internally. If we consider introverts, they are very weak-hearted and barely cope with depression; as a result, younger people commit suicide, which is totally unacceptable. Our motive is to provide Friendzie to those who are introverts and scared to express themselves. Normal people share their deep feelings with friends and interact with them when they are in confusion. Everyone needs at least one friend with whom they can confide. Friendzie is exactly that type of friend for the poor. Our main motive is to keep Joey busy with the robot. Another important characteristic about Friendzie is that she can move from one place to P a g e 6 | 67 another. Above all, Friendzie will be a perfect artificial friend for those introverted types of people, especially for young, depressed youth.
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Open Access
Line Following Automated Car Detecting Sign
(North South University, 2023) Shadman Haque; Maheenul Hoque Chowdhury; SM Monjurul Alam; Md. Shahriar Hussain; 1911707642; 1921133642; 1921337042
The advent of autonomous vehicles has transformed the transportation sector by offering more accessibility, reduced energy consumption, and improved safety. The ESP32-CAM module, which is equipped with a built-in camera, possesses a useful attribute: robustness. The module will be employed to construct a model of an autonomous car for the project's operation. The objective of the project is to provide dependable navigation and obstacle detection in many scenarios by leveraging computer vision techniques, cloud connectivity, and edge processing capabilities in a mutually beneficial manner. These technological innovations will enable us to accomplish our objective. The CPU is responsible for processing data from sensors, controlling motors, capturing real-time images, and enabling wireless connectivity. The algorithms developed on the microcontroller enable the identification and classification of elements in the vehicle's environment, such as lanes, barriers, and pedestrians. This is achieved by examining the frames captured by the camera. This study establishes the foundation for developing a versatile and user-friendly automated vehicle prototype with the microcontroller. It could potentially stimulate further research in this captivating domain and potentially contribute to the progress of technologies for autonomous vehicles. This is due to its integration of advanced technologies such as cloud connectivity, computer vision, and edge process.
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Open Access
Senior Design: ‘Hom-Maid: A Floor Cleaner’
(North South University, 2021) Shayekh Ahmed; Rayhanul Islam Sony; Md. Anamul Hassan Emon; Mehedi Hasan; Md. Mahfuzur Rahman; 1621391043; 1631003043; 1611221043; 1611230043
Robots that are built to do households, becoming smarter and more automated. Home automation delivers convenience and creates more time for people. Domestic robots are entering the homes and people’s daily lives, but it is yet a relatively new and immature market. However, a growth is predicted and the adoption of domestic robots is evolving. Several robotic vacuum with floor cleaners are available on the market but only few ones implement wet cleaning of floors & mosquito away feature is new in this segment. The purpose of this project is to design and implement a Disinfecting Floor Cleaning and Mosquito away Robot Autonomous. This Robot is designed to make cleaning process easier rather than using manual cleaning process. The main objective of this project is to design and implement a vacuum robot prototype with various feature by using Arduino, Motor Driver Shield L293D, Ultrasonic Sensor and Ultrasonic Transducer and to achieve the goal of this project. This Robot will have several criteria that are user-friendly.
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Open Access
SHIKHAA Learning Management
(North South University, 2020) Maruf Billah; Barkatullah Hossain; Ifthakharul Alam Shuvo; Zakaria; Syed Athar Bin Amir; 1530671042; 1530642642; 1530421045; 1430604042
Learning management systems (LMS) can be defined as a suite of services designed to deliver, track, report on, and administer learning content, student progress, and student interactions. Typically, an LMS provides an instructor with a way to create and deliver content, monitor student participation, and assess student performance. It integrates a range of functions for teaching and learning activities. LMS makes the interaction between the learner and the instructor and the learner and the learner more convenient. It provides a platform on the web, and a lot of pedagogical activities can be performed on it . Nowadays, most educational institutions adopt LMS via the use of open sources such as Bux, Google Classroom, MEET, Zoom, etc., for learning and assessment activities in a specific learning environment. LMS provides a variety of tools such as a blog, chat, my courses, class time, class work, my profile, attendance, notification, advising, resources, etc. Faculties can also use this kind of facility. Learners can use these features to facilitate their communication and collaborative work in this learning environment.
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Open Access
Image to Speech Device for Visually Impaired People
(North South University, 2020) Sanjida Mishu; K.M.A. Salam; 083588045
Image-to-text device is designed to convert images in a functioning exploration region, which endeavors to build a PC application with the capacity to read the content from pictures naturally. These days, there is a colossal interest in putting away the data accessible on paper reports into a digital format for the future. One straightforward approach to store data from these paper reports into a PC framework is to initially filter the archives and then store them as images. Anyway to reuse this data, it is extremely hard to peruse the individual substance and look through the structure of these reports line-by-line and word-by-word. The difficulties included are: textual style attributes of the characters in the paper reports and the nature of the pictures. Because of these difficulties, PC can't perceive the characters while understanding them. Along these lines, there is a need for character recognition components to perform record image analysis, which changes documents from paper format to an electronic format. In this paper, we have explored and investigated various strategies for text recognition from pictures. This implies a huge lump of individuals with unique necessities live right among us. It's not just the decay of vision that they need to experience the ill effects of; the general nature of their lives disintegrates as well, likewise influencing their degree of autonomy. Fortunately, medical care, joined with innovative progress, is improving as time passes. For instance, a large group of creative low vision arrangements has sprung up recently, offering various sorts of highlights and capacities accommodating an entire scope of visual inabilities. The goal of this thesis paper is to summarize the notable strategies for better comprehension of the visually impaired readers and improve their livelihood.
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Open Access
COVID-19 Diagnosis and Classification from CXR Images based on Vision Transformer (ViT)
(North South University, 2021) Mahbubur Rahman; Shihabur Rahman Samrat; Abdullah Al Ahad; Ashfia Binte Habib; 1731134042; 1731574042; 1731496042
The COVID-19 pandemic is far from over, and the current primary method of diagnosis is Reverse Transcription Polymerase Chain Reaction (RT-PCR). Although RT-PCR is reliable, it is known to have a long turnaround time and high false-negative rates that can severely hinder the accuracy of diagnosis. Alongside RT-PCR, Rapid Antigen Tests (RAT) are also used, but they have much lower accuracy than RT-PCR. Motivated by the flaws of the current diagnosis methods, we present a Vision Transformer-based classifier for the successful diagnosis and classification of COVID-19 using chest X-Ray (CXR) images. A 15000-sample CXR dataset was compiled, which consisted of 5000 CXRs per class. Afterwards, a Vision Transfer (ViT) was fine-tuned on the dataset. ResNet-50 and DenseNet121 were used as baseline models. It is observed that the Vision Transformer-based model had the highest classification accuracy of 96.2% with an F1 score of 0.965 and the average precision and recall of 0.9617 and 0.962, respectively. This study demonstrates the adequacy of the ViT for the identification and classification of COVID-19 and Pneumonia.
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Open Access
A Medical Community Android App, Detect COVID 19 and Pneumonia Using Deep-learning
(North South University, 2021) Shuva Chowdhury; Istiak Ahamed Saif; Faijul Abedin; Amirul Ahsan Simon; Riasat Khan; 1731245042; 1712196642; 1711316642; 1632129642
COVID-19 is the biggest headache for the whole world, including detecting COVID-19-affected patients. Early detection of COVID-19 may aid in the development of a treatment strategy and disease containment decisions. Also, a community through application among doctors, nurses, and patients can reduce deprivation of treatment and health care services. In this paper, we make a medical community Android application for doctors, nurses, and patients that can detect COVID-19 from chest X-ray photographs developed using a convolutional neural network deep learning algorithm (VGG16). The COVID-19, Pneumonia, and standard chest X-ray images are collected and joined from a public source, Kaggle. 9000 chest X-ray photographs were used for training, including 3000 COVID-19 chest X-ray photographs, 3000 Pneumonia chest X-ray photographs, and 3000 standard chest X-ray photographs. For testing, 3000 chest X-ray photographs were collected, with 1000 COVID-19 chest X-rays, 1000 Pneumonia chest X-rays, and 1000 normal chest X-rays. The accuracy of our training is 98 %, while the accuracy of our validation is 95%.
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Open Access
A Low-Cost Biomedical Device to measure Body Temperature, Heart Rate, ECG and Fractured Angle Through Motion
(North South University, 2019-04-30) Tarek Ahmed Khan ID # 1520436; Fairooz Alam; Debashis Bhowmik; Sabbir Ahmed; Dr. Mahdy Rahman Chowdhury; 1320350043; 1513216642; 1521155642; 1520436042
This report presents the design and the implementation of a mobile application based smart Health Care system in Bangladesh. In this system, any patient can communicate with their doctor easily through app simultaneously. There is a lackof proper management in the hospitals of our country. The main purpose of this project is to provide better opportunity for those sufferer patients who face difficulties while communicating with their doctors at the time of their need. The system has been designed in such a manner that will help a patient as well as a doctor of both rural and urban areas. This system also allows doctors to keep their patients under monitoring all the time. We developed this system to help the people of our country who are badly suffering from not having a good healthcare system in an easy and affordable way. The system will be accessible from android app via the internet. The report includes content designing, hardware implementation and android mobile application development
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Open Access
Web-Based Temperature Monitoring System
(North-south University, 2019-04-30) Jubair Jull Karnine; Md. Sajjad Hossain; Aaqib Shahriar Shuvo; Dr. Mahdy Rahman Chowdhury; 1410959042; 1410292042; 1330880042
This paper describes the design and implementation of a web-based temperature monitoring system. The project is designed in such a way that after the configuration with hardware which will be the temperature sensors it will work properly. It is also designed in a way that the user can view the temperature values at anytime from anywhere with the help of a server. The project is implemented like the administration can the set the limits of the temperature sensors which will be suitable for the rooms. The aim of designing the project is to reduce the human labor. On the other hand the user can view the temperature values in two different ways such as in tabular views and graphical views. And can also download a report which will be in PDF format.