Projects
Signify: Bridging Communication Through Sign Language
Md. Johir Raihan
Mainul Islam Labib
Abdullah Al Jaid Jim
Jun Jiat Tiang
Uzzal Biswas
Abdullah-Al Nahid
Project 2024
We have developed a website (https://kubdsl.rf.gd) that presents innovative methods to bridge the communication gap between deaf and hearing individuals. Using a CNN-SE network, we have developed a highly accurate model that achieves 99.86% accuracy on the KU-BdSL dataset. Additionally, we have expanded our smartphone app into a web-based service, making this technology accessible across all platforms, and we have further upgraded the model (finetuned Inception model) for improved performance.
Integrated Remote Health Monitoring and Disease Detection System.
Md. Johir Raihan
Nazmun Nahar
G. M. Rasel Reza
Md. Golam Mustafa
Chiranjit Biswas
Md. Irfan Hussain Sikder
Project 2023
We have integrated advanced sensors and machine learning to provide real-time health data collection and analysis for cardiovascular, muscle, and other vital parameters. The system successfully captures heart rate, SpO2, ECG, and muscle activity, with data wirelessly transmitted via ESP32 for disease prediction. However, sensor inaccuracies and synchronization issues affect system performance. Despite these challenges, the system offers valuable insights into patient health and supports proactive medical interventions.
Gesture-Driven Robotic Arm: Utilizing Computer Vision for Enhanced Human-Machine Interaction.
Md. Johir Raihan
Samiya Intesar
Jannatul Jeba
MD Jakaria
Project 2023
This project features a computer vision-controlled robot arm, utilizing real-time gesture recognition via a MediaPipe model. Stepper motors drive the robot's base, Arm 1, and Arm 2, controlled by an ESP-32 microcontroller through WebSocket communication. The physical design incorporates PVC and offers 360-degree base rotation. Custom coding in C++ and Python enables user-friendly control, making the robot versatile for diverse applications.
Automated Hand Exercise Machine with Monitoring System for Paralysis Patients.
Md. Johir Raihan
Md. Irfan Hussain Sikder
Swaraj Mondal
Project 2022
The project aims to facilitate automated hand exercises for rehabilitation by integrating a motor-driven mechanism controlled through a combination of hardware, circuitry, and software. Motivated by the goal of aiding patients in therapeutic hand movements, the system utilizes a heart rate sensor and a pose detection algorithm to ensure synchronized and safe exercise sessions. The real-time monitoring of exercise count and heart rate provides valuable insights into the patient's health condition during the rehabilitation process.