Page 17 - Covid 12 July 2021

Social distance alert and monitoring system using a smartphone, IoT
and AI
The increased number of COVID-19 patients in various parts of the country poses challenges for medical professionals, related to focused health monitoring and care for critical cases. IIT Jodhpur has indigenously designed a prototype wristband that will create a sound alarm if two such bands come close to each other. The band works on 2.4 GHz radio frequency and contains a RFID trans-receiver, a microcontroller and lithium battery. It also includes a BLE chip, which helps in transferring the contact graph to any connected mobile phone. It weighs about 30gms. The work has been supported by RAKSHAK scheme of DST.
Contact info:
suman@iitj.ac.in, saksham.saxena@investindia.org.in
Long-term outcome of infants born to COVID-19 positive mothers: A prospective cohort study jointly conducted by IIT Jodhpur and AIIMS, Jodhpur
Abundant research has been carried out to define the epidemiology, prevention and treatment of SARS-COV-2 infection among adult population. However, very little is known about the perinatal aspects of COVID-19 especially during the second wave, which has crippled the entire world and more so our own country. Moreover, no one knows the long-term outcome of the infants born to COVID-19 positive mothers. Therefore, they planned to assess the incidence and long-term outcome of infants born to COVID-19 mothers.
The project is supported by DST-RAKSHAK.
Contact info:
sumitk@iitj.ac.in, saksham.saxena@investindia.org.in
AIOT based bed occupancy detection in a hospital set-up developed
by IIT Jodhpur
Automated detection of bed occupancy has been useful to many applications including remote healthcare, elderly monitoring, fall detection, home automation, assisted and ambient living and so on. The existing IoT based solutions for bed occupancy detection vary with respect to cost, accuracy and scalability. This is an engineering problem having specific focus on the choice of instruments, deployment strategy and approaches used for data collection and occupancy detection. In a typical hospital set-up, the problem adds a few additional dimensions in terms of safety, scalability and administrative functionality.
Jodhpur City Knowledge and Innovation Cluster support the project. In this project, the team has designed a low-cost AIOT based solution for bed occupancy detection problems in a hospital set-up and plan to demonstrate the solution’s effectiveness by deploying a small prototype in the local hospitals.
Contact info:
sumitk@iitj.ac.in, saksham.saxena@investindia.org.in
VOL. IV ISSUE 6
VIGYAN PRASAR 13
NATION’S S&T EFFORTS AGAINST COVID-19