Browsing by Author "Sabbir Ahmed"

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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
    A Machine Learning and Embedded Approach to Detect Fire, Identify the Cause of it and Extinguish Using the Best Possible Extinguisher
    (North South University, 2023-02-01) Md. Rashiqur Rahman; Sabbir Ahmed; Md Shafin Islam Rudro; Sadia Aktar; Md. Shahriar Hussain; 1812366042; 1813515042; 1821054642; 1821516042
    Chemical fires are a major cause of devastating situations and fatalities in Bangladesh, where inadequate knowledge of extinguishing such fires has led to numerous deaths, including those of firefighters. To address this issue, we propose a machine learning and embedded systems approach to design a dynamic and portable prototype that can remotely monitor the fire incident and determine its cause. The prototype uses a dashboard camera to stream video and gas sensors to detect the chemical gas information in the environment to identify and extinguish the fire. The embedded approach clarifies the cause of the fire and suggests the most suitable extinguisher to the user. The device is economical, portable, user-friendly, and marketable in Bangladesh. The system produces satisfactory results with high accuracy in fire detection and maintains its objective of being low-cost and user-friendly. The device can be remotely controlled using a mobile phone and web-based application. The system's machine learning approach uses appropriate datasets and algorithms (YOLOV5), while the embedded approach employs suitable sensors and a microcontroller (ESP32). The system's accuracy has been shown to be perfect.