Page 35 - Informatics, April 2022

eGov Products & Services
eGov Products & Services

IVANI in eGovernance

Satyapikaanan am happy to inform you that the Con-
Satyapikaanan is an API-based service for Face I tactless Attendance through Smart
Verification that has been made available over Mobile App (FRBAS-PBSSD) designed
MeghRaj Cloud. It is utilised in various governance by National Informatics Centre (NIC) has
projects like: been a very convenient end-to-end ap-
• Face Recognition Based Attendance System plication that has been incorporated into
Utkarsh Banela Skill Development Pro-
(FRBAS) Mobile App that facilitates Contactless gram. I am told it is built with highly ac-
Attendance in Utkarsh Bangla Program for Skill curate deep learning models for Al based
Development Trainees & Trainers Attendance in face verification, Liveness detection and
West Bengal other technologies like Geo fencing. It
• Face Verification & Liveness Detection for Life is proving to be a good tool with a high
Certificate for Pensioners through a mobile app value proposition. I would like to con-
provided to Meghalaya Fig. 8.3: Identification of SBM Urban gratulate team NIC for developing such a
• RTO’s Online eLearners License Exam & Auto- cutting edge technology solution which
Beneficiaries through IVANI
is more meaningful in the post-pandem-
matic License Renewal Services ic era where con-
• Real Time Face Quality Analytics in candidate IVANI in Healthcare tactless services are
registration for various examinations conducted AI has found its application in medical more required.
by National Testing Agency (NTA) training, monitoring, imaging, early detection,
diagnosis, decision making, and treatment.
It is envisaged that triaging of patient care can
AI Satyapikaanan Total of be done through one or more AI models.
Recently, a tripartite MOU between ICMR, NIC
API based Face 46.50 Lakh
Verification Service AI Requests Served and Central TB Division (Ministry of Health &
Family Welfare) has been signed for providing AI
Services in the National Tuberculosis Elimination
program. The proposed AI based model will be Anoop Kumar Agrawal, IAS
used for identifying potential TB patients for
follow-up testing. The risk profiling of patients Principal Secretary
along with Cough Spectral Analysis as well as Government of West Bengal
Sputum Molecular Image Analytics will help in
API Hits checking First and Second Line Drug Resistance in
(March 2022) tuberculosis patients. Advantages
Some of the advantages of IVANI are:
• Reduced Workflow Cycle & Process Automa-
Fig. 8.4: Tuberculosis detection from Chest tion: AI-driven automatic verification of records
X-rays through AI can help in early detection helps in reducing the workflow. It reduces human
of TB in Primary Health Care Centres intervention and errors. This results in productiv-
28+ Lakh 18+ Lakh
Hits Hits ity enhancement and cost reduction
Sarathi 3000+ CBSE’s • Citizens facilitated: Citizens are greatly ben-
Parivahan Hits Candidates efitted through some AI enabled services which
Meghalaya Registration
Pensioner Life System may be made available at their homes
Certificate • Fraud Detection: AI greatly facilitates fraud de-
Fig. 8.2: An overview of AI Satyapikaanan tection in various eGovernance use cases
• Transparency: AI-enabled Faceless Services

IVANI in Sanitation usher in more transparency
In Swachh Bharat Mission (SBM) Urban, there • Better & Faster Reach: Reducing the human in-
were approximately 16000 constructed toilet teraction in the workflows and providing services
images with beneficiaries in the background and over the network has enabled users to enjoy ser-
toilet seats visible or otherwise. With these many vice
images, one can expect around 99% accuracy in • New Paradigm of Efficiency: The AI driven Im-
prediction. Hence, a binary classifier with two age & Video Analytics tools as developed by NIC
classes “toilet seat” and “beneficiary detection” facilitate in achieving a new paradigm of efficient
modules were designed for SBM Urban. It was and effective eGovernance
launched as a mobile app to help citizens upload
correct images so that workflow cycles in receiving
scheme benefits or waiting time in queue can be Contact for more details
reduced, which would otherwise be longer with Anil Choubey
sanitary inspectors individually going through Scientist-B, CoE-AI
each and every photograph and rejecting them. NIC Hqrs., CGO Complex, Lodhi Road
The citizens, otherwise, have to reload the correct New Delhi - 110003
images and get back in the queue for approval. Email: anil.choubey95@nic.in, Phone: 011-24305747

April 2022 informatics.nic.in 35