It uses the Web-based dashboard, An algorithm for constructing a joint fitness function and fog-driven digital twin framework to monitor the health of roads and bridges. Web-based dashboard controller interfaced with low-cost SHM sensor Board unit th
I-DAPT Hub Foundation IIT (BHU) Varanasi has developed Developed a LoRaWAN devices, mobile software, and protocols, that securely transmit data between locations with minimal power consumption. This technology eliminates the need for frequent battery
The current study will examines the possibility of automatically detecting distracted pedestrians on crosswalks using Computer Vision techniques and development of a smart phone.
The aim of this work is to develop a smart and integrated traffic signal control system for efficient traffic movement during regular and emergency situations through incorporation strategies related to adaptive traffic signal control and emergency v
Utilizing historical meteorological and load data for optimal sizing of systems for renewable generation to improved accuracy in sizing and system planning.
It uses real-time sensor data to analyze charging efficiency, misalignment patterns, and system performance. AI- driven predictive models help forecast optimal charging conditions and detect faults. This enables intelligent decision-making and enhanc
The project involves capturing physical human behaviors (facial and body expressions) through sensors or cameras, processing these data using deep learning algorithms (cyber component), and potentially deploying the system for real-time depression de
The histopathological images of blood cell will be given as input to deep learning based models for segmentation of sickle cell and prediction of Sickle cell disease. Once the disease will be predicted, it severity level will also be p
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