Develop and commercialize the use of the proposed thin flexible metamaterial devices as add-ons to boost substantially the capabilities of clinical MRI systems currently utilised in hospitals. The goal is to achieve the maximum SNR simultaneously wit
For the early diagnosis of lung cancer, this project emphasizes an electrochemical device which utilized for the electrochemical sensing and analysis of biomarkers in serum.The fabricated biosensor will have significant use in clinical applications,
Developed electronic circuit of the AMR for housing and urban industries will be a novel one, specifically envisioned to bring down the cost of the AGV compared to available AGVs in the market.
Development of resilient and reconfigurable control system( involving software and hardware) for hydro power plant under various cyber attacks. It ensures the uninterrupted operation of hydroelectric plants, safeguards energy production, and minimize
This project will provide an economic and viable solution to detect and monitor gait patterns in children with cerebral palsy for gait anomaly detection and alert. Development of a low-cost wearable device for collection of gait data.
A ROM based ultra low power AI inference chip with one-time programmiing of trained weights To Target applications where a one time "hard-coding" of weights of the multiply summations function is to be done .The aim is to fabricate an ultra low power
Developing for India’s Smart City Mission, a cost-effective and adaptable solution addressing problems of Absence of adaptive signal phasing and inefficient control with real-time data and a novel algorithm, it outperforms traditional methods, show
The project addresses Human-Wildlife Conflict (HWC) through technological solutions for Human-Elephant, Human-Leopard, and Human-Tiger conflicts. Objectives include animal detection near settlements, early warning systems for citizens and authorities
The project aims to develop a reliable and autonomous hardware system for collecting data essential for generation forecasting and create a robust PV power forecasting methodology accounting for local climatic variations. It will provide recommendati
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