| Initiatives taken by NITs & IIEST, Shibpur under the Reserch Area: Surveillance | ||
|---|---|---|
| 1 | Project Title : Help Support System “AAS”
Expected Outcome : A complete support system for the different agencies working against COVID-19 and for the welfare of society. This is an online support and management system for better and effective regulation of supplies, monitoring and helping to needy. Expected Timeline : Almost ready launch in next 7 days Remarks : URL : http://mnit.ac.in/faculty/profile.php?fid=dws-5_wBfX4UPZkV4T2GHB7P6nPMW6VEwyN2RiBE8-U PI Details : Rajesh Kumar Professor, Department of Electrical Engineering PI Email id : rkumar.ee@mnit.ac.in |
Malaviya National Institute of Technology Jaipur |
| 2 | Project Title : IOT based Device for quarantine monitoring of infected people.
Expected Outcome : 1. If suspected person is found as patient of COVID’19, visited locations of such person may be determined based on his movement history. 2. If any COVID’19 patient breaks the movement restriction, an alarm will be sent to nearest police station. Expected Timeline : 01 month Remarks : IOT based GPS enabled band will be punched on the hand of the COVID’ 19 patient/suspected person which can track the location of the person. The location of such person will be stored on a cloud. If the person moves out of restricted area, an alarm will be sent to nearest police station. URL : PI Details : Dr. Manisha Dubey, Professor Dr. Mukesh Kirar, Assistant Prof. Department of Electrical Engg. Dr. Dhirendra Pratap Singh, Assistant Prof. Dr. Jaytriok Choudhary , Assistant Prof. Department of Comput PI Email id : manishadubey6@gmail.com |
Maulana Azad National Institute of Technology Bhopal |
| 3 | Project Title : Social Distancing Monitoring and Warning System
Expected Outcome : System that monitors the public gathering and alerts & reminds the people and authorities whenever social distancing is violated. Expected Timeline : Remarks : The system uses a camera (preferably high resolution) to view gathering at a public place. The system continuously records the video and sends it to central server through the data network. Simultaneously, the system also analyze the people density in a given sample area. For example, if the sample space spans to area of 100 m2 (actual area depends on the camera and its angular movements) then only 10 people may be allowed in this area (i.e. 10 m2 area per person which may serve as threshold value, actual threshold may vary). The moment 11th person enters into this sample area (area per person < 10 m2) i.e. threshold is violated; a public warning through attached loudspeaker or siren may issued. This may serve as reminder to people to maintain social distancing. Further, based on the previous data and present scenario the system may also analyze that how much the present social distancing violation is likely to grow. This may be used to issue alerts to the authorities that in the sample area social distancing violation may become severe. Furthermore, the video of sample area stored at central server may be processed to identify habitual offenders of social distancing norms. Moreover, certain AI algorithms may also be applied to the processed video that would identify the people who are intentionally spitting/ infecting the public places. The identified people may be verified through “Aadhar” data base for further actions. Salient Features & Deliverables: • Monitors the public gathering in real time. • Analyzing the people density in the given area in real time. • Automated warning if social distancing is violated. • Automated alerts to authorities when threshold is breeched. • Use of congestion prevention and congestion avoidance type of algorithms to predict the possibility of public gathering. • Feeding the live video to central server for online monitoring by authorities. • Storing high quality video on central server for further processing to identify habitual offenders. • Identification of people trying to spread the disease either intentionally or due to depression. URL : Additional Info PI Details : Dr. Manish Tiwari Associate Professor (ECED) MNNIT Allahabad, Prayagraj Dr. Arun Prakash Associate Professor (ECED) MNNIT Allahabad, Prayagraj PI Email id : mtiwari@mnnit.ac.in |
Motilal Nehru National Institute of Technology Allahabad |
| 4 | Project Title : Development of Web Portal under "Research Initiative regarding COVID-19"
Expected Outcome : The information once collected shall be helpful in future for taking various administrative decisions. The Web portal developed can be seen on the following link: http:/nithcovidinfo.herokuapp.com/# Expected Timeline : 15-20 days Remarks : The Web portal developed can be seen on the following link: http:/nithcovidinfo.herokuapp.com/# URL : PI Details : Dr. Naveen Chauhan and teem members Mr. Abhishek Kumar (18M527) and Mr. Anshul (185008) PI Email id : naveen@nith.ac.in |
National Institute of Technology Hamirpur |
| 5 | Project Title : HOPE - A proposal for developing an mobile App Hopefulness Portal for Employment
Expected Outcome : Mobile App - A remedy for Migrant Workers Expected Timeline : 1 month Remarks : Under evaluation SAMADHAN - MHRD Mega online challenge URL : PI Details : Mentor: Dr.Amrith Bhide,Assistant Professor, Dept of Physics Mr.Vishnuprasadh K ( student) PI Email id : amrthabhide@nitpy.ac.in |
National Institute of Technology Puducherry |
| 6 | Project Title : Crowdsourcing-based Distribution of Food and Relief Materials to Poor Family distressed by COVID-19 Epidemic, under Lockdown Scenario
Expected Outcome : This project will develop Mobile Apps and Analytics application to get exact information and location of Poor family that require food and relief materials. To help smooth distribution of Food and Relief materials door-to-door without violating the Lockdown Rules. This Mobile Apps will help the government agencies and NGO in deciding quantity of the required Food and its distribution to all locations. Expected Timeline : 8-12 weeks Remarks : Funding Requirement of 50,000 INR URL : PI Details : Dr. G P Gupta, Asst Prof, IT Dept PI Email id : gpgupta.it@nitrr.ac.in |
National Institute of Technology Raipur |
| 7 | Project Title : COVID-19 Tracker Android Application
Expected Outcome : With detailed information people will be aware of the contaminated and hotspots regions. Contact information of state govt. helpline available in case of emergency. Contact information of relief organizations available which will enable people to get essential delivered. Expected Timeline : Remarks : To provide real-time tally of COVID-19 Patients in the country, state and district wise with graphical representation through charts and graphs along with state wise information of various COVID-19 testing labs, relief organizations available. URL : PI Details : Prateek Kumar Oraon, Student, Department of Computer Science and Engineering, NIT Sikkim. PI Email id : b170078@nitsikkim.ac.in |
National Institute of Technology Sikkim |
| 8 | Project Title : Development of a Quarantined Patient Health and Location Tracking System with GUI support and breach alert system
Expected Outcome : Due to the pandemic like COVID-19 it is necessary to isolate and quarantine the patients to inhibit the spread of the pandemic. Our objective is the development of a system which we can effectively monitor the patient health data, access the data remotely using a GUI based web application and real-time tracking of patient’s location and raise a breach alert when the patient wanders out of the specified unrestricted area. The system includes a device which is strapped on the patient so the entire solution is non-invasive. The device includes a GPS module for triangulating the location of the patient, Temperature and ECG Sensors for collecting health data and a microcontroller for processing and transmitting the data wirelessly to the server. The server hosts a Web-app which enables the users to visualize the data through its GUI enriched interface. The system also facilitates the real-time tracking of the patient’s location and updates it on the server. If the quarantined patient steps out of the designated area space, an SOS signal is immediately sent to the server and all the responsible authorities are notified pf the breach. Through this system, we aim at containing the patients to a safe-space while keeping track of the health and thus preventing the further spread of the pandemic due to the affected individuals. Expected Timeline : 30 days or less Remarks : For development of the prototype the device and the GUI based web-app, successful testing and recording of the test data-sets from the patients to set up the database and deploying the server and it’s testing. URL : http://www.nits.ac.in/departments/ece/ece.php Additional Info PI Details : Dr Koushik Guha, Assistant Professor (Grade I), Electronics and Communication Engineering Department, National Institute of Technolog Email: koushikguha2009@gmail.com Mob: 9435072274 PI Email id : koushikguha2009@gmail.com |
National Institute of Technology Silchar |
| 9 | Project Title : Development of a progressive web application for intelligent cost optimization using IOT in hotels, post COVID-19 pandemic
Expected Outcome : A progressive web application (PWA) aimed at consumers and hotel owners to optimize the costs pertaining in the operations, post COVID-19 pandemic situation. Due to the imposed 40 day lockdown for the public safety, various industries are currently in loss and would be finding an optimal solution to this problem. We, in this project, will design a novel technique to monitor the variable costs viz. Electricity consumption, Water consumption, etc. and give an optimization solution for a viable operation in a hotel. The technique will be mapped through a PWA with the enterprise owner and the consumer as well, to monitor the consumption details in real time through IOT sensors. The novelty of the idea lies in the automatic transition of manual optimization to automatic using Deep Neural Networks to enhance the performance, once we have obtained a minimum amount of data. The PWA, unlike usual applications, requires a lot less resources to function. Expected Timeline : 60 days or less Remarks : A prototype of the PWA and related IOT hardware can be ready for the trial implementation and data acquiring within the designated timeline URL : http://www.nits.ac.in/departments/ece/ece.php Additional Info PI Details : Dr Koushik Guha, Assistant Professor (Grade I), Electronics and Communication Engineering Department, National Institute of Technology Silchar Email: koushikguha2009@gmail.com Mob: 9435072274 PI Email id : koushikguha2009@gmail.com |
National Institute of Technology Silchar |
| 10 | Project Title : Pandemic Drone
Expected Outcome : 1.UseDrones(enabled with a high-resolution camera and thermal sensor)to measure the body temperature of an individual from a distance. 2. Use Drones to capture the images of individuals and process in real-time images and see if some individual is suffering from COVID-19 symptoms (like coughing, sneezing, etc) using image processing and machine learning techniques. 2. Use Drones to sanitize specific places. 3. Collect the data and use the same for detecting the social contacts of a COVID -19 patient. Expected Timeline : 6 months - 1 year Remarks : Need of the hour is to trace the social contacts of the COVID-19 infected person and to test the individuals without contacting the individual from a distance. This proposal aims to achieve these objectives with the help of a Drona. URL : Additional Info PI Details : Janibul Bashir Trainee Teacher NIT Srinagar Ph.D. Scholar IIT Delhi http://www.janibbashir.com/ Prof. Saad Parveez Associate Professor Department of Mechanical Engineering NIT Srinagar PI Email id : janibbashir@nitsri.net |
National Institute of Technology Srinagar |
| 11 | Project Title : Drone automation solution for surveillance and delivery
Expected Outcome : delivery of required medicines and health equipment Expected Timeline : 6 months Remarks : URL : https://www.nitt.edu/home/academics/departments/ice/faculty/asstprof/ezhil/ Additional Info PI Details : Dr. D. Ezhilarasi Student Members: Eashwar Ravikkumar Anjali Kumari Jyoti Kumari Praveen Yadav PI Email id : ezhil@nitt.edu |
National Institute of Technology Tiruchirappalli |
| 12 | Project Title : Intensive Care Management system for Coronavirus disease
Expected Outcome : An automated system to identify the patients based on RFID in delivering food and medicines and return back to the origin. Expected Timeline : 6 months Remarks : URL : https://www.nitt.edu/home/academics/departments/ice/faculty/asstprof/ezhil/ Additional Info PI Details : Dr. D. Ezhilarasi & Dr. N. Sivakumaran Student Members: Shrinivas Dachawar Srivathsan R.Kavin Nachiket Sanjay Vignesh raj 11011808 PI Email id : ezhil@nitt.edu |
National Institute of Technology Tiruchirappalli |
| 13 | Project Title : Development of Cough Recognition App to Track the Spread of the Corona virus
Expected Outcome : Development of smartphone application based cough detection model by monitoring with microphone data for tracking the virus spread Expected Timeline : 3 months Remarks : URL : https://www.nitt.edu/home/academics/departments/ice/faculty/asstprof/periyasamyr/ Additional Info PI Details : Dr.R.Periysamy, Dr.G Uma and Dr. M.Umapathy , National Institute of Technology Trichy B.Sangeetha, Research Scholar, ICE, NIT, Trichy Himadri Poddar , B.Tech student, Dept of ICE, NIT Trichy. PI Email id : periyasamyr@nitt.edu |
National Institute of Technology Tiruchirappalli |
| 14 | Project Title : Smart Shopping System to maintain social distancing
Expected Outcome : Developing software to check and limit the purchases made by a family in markets and departmental stores, and giving date/time for purchasing essential goods, using Aadhar card as a tracking mechanism. This will help to reduce the crowd, prevent panic buying, and ensure commodities are available to all Expected Timeline : 3 months Remarks : URL : https://www.nitt.edu/home/academics/departments/ice/faculty/asstprof/srinivasan/ Additional Info PI Details : Dr. K. Srinivasan Student Members: Balaji M 110118014 Santhosh J 110118074 Vaibhav 110118094 V K Viekash 110118104 Akhil J Ajayan 110118004 Hrishik Senthilkumar 110118092 PI Email id : srinikkn@nitt.edu |
National Institute of Technology Tiruchirappalli |
| Initiatives taken by NITs & IIEST, Shibpur under the Reserch Area: Surveillance | ||