Here, I developed an algorithm to detect the infected Leukemia cell. In manual procedures to check the total number of white platelets, red platelets, and platelets is a work of serious errand and requires a great deal of exertion and time. Where automatic detection can build up the precision and speed of diagnosing. These strategies can likewise play an essential principle in the country and underprivileged zones, where therapeutic specialists are not accessible. Hence, the essential objective of the project was to develop an algorithm to viably characterize the platelets and cheek the ALL cells in the blood sample (microscopic image). Four phases of computer-aided detection for ALL identification were implemented in the MATLAB environment. Histogram qualization, Minimum filter, and Gaussian filter were adopted for enhancing the contrast, removing salt, blur and other noises from the images in the preprocessing step. I applied Watershed and Edge Detect Segmentation which aided the classifier to detect the normal and blast cells accurately. Inside the feature selection process, I preferred to use Histogram feature to minimize the information into a reduced set of features. And finally, within the classification process, K-nearest neighbor was used for classifying the normal blood cells and ALL cells.

• Car Parking ARaspberry Pi based Car Parking Automation Using Image Processing.

• Raspberry Pi based Car Parking Automation Using Image Processing.(Research and Development Project)

• Water Level Control and Monitoring System Developed for Bangladesh Election Commission (BEC) Head Office.

• NFC Based Access System for Daffodil International University(old campus).

• Automatic Car Access System for Daffodil International University (OLD CAMPUS).

Description:

The main objectives of this thesis work were:

∗ To control temperature by using Siemens S7 300 analog input and thermocouple.

∗ To develop a Water level controller using Siemens S7 300 and pressure sensor.

∗ To control Pneumatic valve and cylinder using Siemens S7 300.

∗ To control a Convyer belt using siemens S7 300.

∗ To implement Load Measurement and Monitoring system.

∗ To implement Automatic Water Level Controller.

∗ To implement Linear Distance and Velocity Measurement.

∗ To work with different PLC including Siemens, Omron, delta, Click PLC, Allan bradley PLC etc.

• An Elementary Study on Quantum Computation & Quantum Algorithms.

• Arduino Based Line Follower and Object grabber Robot.

The objectives of the line follower robot are to move forward searching for a black line on a white surface, detect a black line on a white surface, generate control commands to follow identified black line and grab the object besides the track. The project was developed in Arduino platform with IR sensor array and DC motors. PID control method was used to control the robot. This was developed for a national level robotics competition with group and achieved an honorable mention.

• Automatic Solar Tracker and Temperature Control System using PIC 18F4550 Micro Controller.

The purpose of the project was to design an efficient solar panel for a smart house. In this project, the solar panel aimed to track the sunlight. Water cooling method was imposed to control the temperature of the solar panel.

• Programmable Logic Controller(PLC) based Automatic Star-Delta AC motor starter.

The intention of this project was to learned Programmable Logic Controller(PLC) and to learned the logic of Star-Delta AC motor starter.

• PIC Micro Controller based Temperature, Humidity and Proximity Measuring and Monitoring(PC based) system.

The goals of the project were to learn about different sensors and their interfacing methods with the micro controller. A PIC 18f4550 microcontroller was used in this project.

• Android Control Home Automation System.

This project presents the overall design of Home Automation System (HAS) with low cost and wireless system. This system aims to assist and provide support to fulfill the needs of elderly and physically challenged in a home. The switch mode and voice mode are used to control the home appliances. The system intended to control electrical appliances and devices in-house with relatively low-cost design, user-friendly interface and ease of installation.

• Design and Development of PLC based DC Motor Speed Control Using PID control method.