Browsing by Author "Hasan, MD. Mehedi"

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Face Mask Detection to Ensure Covid-19 Safety by Using OpenCV, Tensor Flow and Keras
(Daffodil International University, 2022-01-05) Hossain, MD. Limon; Hasan, MD. Mehedi
We are living in a pandemic period. Covid-19 has changed our daily life in great manner. The economy of the world affected largely for the pandemic. We are under great health crisis. Thousands of people are being affected by this in daily basis. Droplets of an affected person can spread the virus among the people around him or her. Thus, an affected person is threat for others. As there are lots of people in public places, so the chances of transmission of the virus is very high in public places. From the world health organization we have known that Covid-19 can stay 14 days on a host without showing any symptoms. In this long time, the host may spread the virus among a community without his conscious. Again, another 48 hours is required to confirm if a suspect has covid-19 or not. But in this circumstances, 48 hours is also a long time. Many people can be affected in this time and then they will also spread the virus among millions. According to WHO, at this moment wearing a safe facemask is the best way that can stop the spreading of Covid-19. If people wear mask, their droplets will not spread in the air and people around him will be safe. We see various service providers refuse to give any services if a customer do not put mask in his face. So, detecting safe mask on person’s face is become a highly appreciated work. In this project, we also going to do build a system that can perform this great task. Here we will use some basic deep learning and machine learning technique to perform the task. We will also need help of some library packages of python such as OpenCV, Keras and TensorFlow. Using all of this we hope to build a system that will detect if a person is putting facemask on his face or not correctly.
PKADS: Online Ad Management System
(23-02) Hasan, MD. Mehedi; Fahim, Afrid Shariar
A web-based ad management system is a tool that allows businesses and organizations to efficiently manage their online advertising campaigns. It provides a central platform for creating, scheduling, and tracking the performance of ads across various websites and digital platforms. With a web-based ad management system, businesses can streamline their ad operations, optimize ad spend, and measure the effectiveness of their campaigns in real-time. This system can be accessed from any device with an internet connection, making it easy for businesses to manage their ads from anywhere. It is an essential tool for businesses looking to effectively reach their target audience and achieve their advertising goals. In this system we create a website where any ad agency can easily store their agents and clients information and also update their ads campaigns schedules. We create a bills section where ad agency store and check their previous advertisement deal. Our project helps ad agency's to make a good deal with clients.
Smart Dairy Farm Management System
(Daffodil International University, 2021-04-24) Hasan, MD. Mehedi; Datta, Pantho
Survey data told that 46% of the total population of Bangladesh is raising cattle and nearby 20% of present population does it for a living.[1] In foreign countries, the Internet of Things (IoT) is going to bring revolutionary transformation in dairy farming sector . But there is lack of digital livestock management farms in Bangladesh. As our country has associate acute shortage of milk production. So there could be no other alternatives to utilization of IoT based smart technology in dairy farming. By adopting improved technologies in dairy farming management system, it will be easier for secondary and higher educated farmers or farm manager to manage and control of hole farm. For the assistance of dairy rancher or supervisor and for the expanding of milk production, appropriate taking care of fed and health care management, we proposed and design a smart dairy farm management system. In the smart dairy farm management, there will be a chip for every cow and that will be attached to the neck or ears. Those IoT devices will be connected with internet and those chips (IoT device) can collect all the physical and surrounding information of those cows. As example, total number of cows and their per week cow feeding ratio, feed cost, total milk collection, quantity of sold milk etc. It gives accurate information about every cow. We have already made a website for better management. Through the IoT devices, all data will be store in our website and through the website the farm supervisor can view each and every cow’s details information. The website helps to compare, so that the farm supervisor can easily understand, what kind of nutrients a cow needs, which kind of health care it needs and even the time when the cow is ready to milk. A dairy farmer or supervisor can easily know all from the information that will come to his Pc or mobile phone through our website and internet which is connected to the base station.