Browsing by Author "Ahmed, Nafiz"

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Application of image processing in traffic control system & license plate detection
(BRAC University, 2017-08) Islam, Aminul; Ahmed, Nafiz; Hasnain, Toaha; Tabassum, Iffat; Das, Avijit
A license plate detect system is one type of intelligent transportation system. It is a type of technology in which the software enables computer system to read automatically the license number plate of vehicle from digital pictures. Reading automatically the number plate means converting the pixel information of digital image into the ASCII text of the number plate. The main objective is to use same operations repeatedly in such a way that the number plate of vehicle can be identified accurately. As the problem of urban traffic congestion spreads, there is a pressing need for the introduction of advanced and to the technology equipment improve state of the control traffic nowadays and traffic problem increasing because the growing of are vehicles and we also have limited resource providing by current infrastructure. The simplest way to solve it is traffic monitoring system. Another way is to use electronic sensors in order to detect vehicles, and produce signal that cycles. We propose a system for controlling the traffic light by image processing. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will capture image sequences.
Comparative data analysis of a PV module system considering weather parameters
(BRAC University, 2021-06) Ahmed, Nafiz; Hoque, Khandoker Samiul; Ahmad, Sabbir; Siddiki, Didar Alam; Rahman, Md. Mosaddequr
Fastest growing economy of Bangladesh increase the great demand of power generation using renewable energy sources. However, uncertainty in the output power of the photovoltaic (PV) power generation station due to variation in meteorological parameters is of serious concern. As a solution to this issue this work aims to predict the accurate power of a PV system. The performance results of this study are presented in terms of Random forest, Artificial Neural Network (ANN) and Multiple Linear Regression model. Additionally, the performance results obtained with Random forest, Artificial Neural Network (ANN) and Linear Regression are compared to show that which model has better prediction accuracy and less error. This paper aims to employ and perform a comparison study of PV systems considering weather parameter using different algorithms of above-mentioned data forecasting methods. The data which will be taken from the mentor of our thesis will be used in this paper. The present study will also be very helpful to provide technical guidance to the prediction of the PV power System.
Smart irrigation and soil component test
(BRAC University, 4/29/2014) Bhowmik, Tushar; Ahmed, Nafiz; Hassan, Emonul; Mamun, Abdullah Al; Rhaman, Md. Khalilur
The aim of the projects to make an embedded system which will provide all the necessary information needed for the production of various crops in an efficient way making the whole process automatic, cost effective , eco friendly and attaining all other environmental concern. It will also provide the amount of soil nutrients and following to that measurement, an apps database will help to find out the amount of fertilizer to be used in particular field. A soil moisture sensor with low-cost was modeled, simulated and tested for achieving accurate and reliable measurements. A high-performance ph probe is calibrated with linearity of the ph scale. Accuracy maintained by scaling it with the help of linear regression and curve fitting in MATLAB. Combining all these things the total irrigation system made automated with a time to time state. A device is used to detect the color changes of soil solution (which is found with the help of reagents provided by Mymensingh Agricultural University) through image processing to verify the amount of soil nutrients. The aim is to improve farm productivity and input use efficiency of water and other nutrients needed for the soil. This system presents the design and development of Irrigation controller System built with Arduino controlled board. The system consists of microcontroller, peripherals including RTC, LCD and driver circuit relay to switch on/off a motor. The soil component testing device is built with camera for image processing with on board switching and status display. An android app is optionally built to make the overall system more smart, user friendly and reliable. The whole system will take the agriculture sector of Bangladesh into a new height where the process will be automated as well as cost effective and environment friendly.