Recent Announcements
Recent Projects
The projects listed below represent a comprehensive array of innovative endeavors that have been successfully completed or are currently under development in our cutting-edge R&D lab. These projects showcase our commitment to advancing technology and pushing the boundaries of research and development.
Synthetic Leg
A smart device for foot-pressure analysis is an innovative tool designed to enhance the understanding of foot biomechanics and improve overall foot health. This device typically consists of a sensor-embedded insole that fits comfortably inside a shoe, wirelessly transmitting real-time data to a connected smartphone or tablet. By measuring various parameters such as pressure distribution, gait patterns, and weight balance, the device provides valuable insights into the user's walking or running habits. This information can be crucial for athletes looking to optimize performance, individuals recovering from injuries, or anyone seeking to prevent foot-related issues. Additionally, the collected data can assist healthcare professionals in diagnosing and treating conditions like plantar fasciitis, flat feet, or abnormal gait patterns. With its user-friendly interface and precise analytics, a smart foot-pressure analysis device represents a significant advancement in personal health monitoring and injury prevention.
Dynamic Load Analysis for Lab Model Train
The project on dynamic load analysis of a lab model train involves the comprehensive examination of forces and stresses experienced by a train model under various operating conditions. This analysis aims to simulate real-world scenarios by applying dynamic loads, which include acceleration, braking, and track irregularities, to understand how these factors affect the train's structural integrity and performance. By utilizing advanced sensors and computational models, the project seeks to identify potential weak points and optimize the design for better safety and efficiency. The insights gained from this study can inform the development of more robust and reliable train systems, contributing to advancements in rail transport technology.
Melanoma Classification using CNN (Convolutional Neural Network)
Melanoma, the most dangerous form of skin cancer, requires early detection to save lives. Machine learning techniques have been introduced in the biomedical field to assist dermatologists and oncologists. These techniques involve independent processing steps such as pre-processing, segmentation, feature extraction, and classification. An Android application has been developed to detect skin cancer by loading a trained model to predict. This application is specifically designed to determine whether an image shows melanoma or non-melanoma, addressing the challenge of predicting this particular type of skin cancer.
Bionic arm for amputees
Surface electrodes are placed on the skin of the individual's forearm or biceps. These electrodes are connected to an EMG sensor that processes the data from the electrodes. The processed and amplified signals are then sent to a microcontroller, which digitizes the signals. The user can use these digitized values to adjust the motor to the desired angle. Fingers are connected using threads and rubber bands, with the thread attached to the motor by winding it around a wheel connected to the motor.
