Problem / Objective:

A government authority maintained a database of criminals and suspects who are prohibited from entering restricted areas, public gatherings and other sensitive premises. The purpose was to prevent any fatal harms or security breaches caused by such people in restricted territories. The government officers had to manually link all the accepted identity proofs of the captive criminals or suspects to their barred criminals record. The challenges faced included: 

-Linking multiple identity proofs owned by each suspect to the barred criminals record and mapping their identification documents to the database. 

-Whenever someone enters a restricted area, they had to physically carry any or all of their identification documents for official verification. 

-Verification of a person’s ID card at the time of seeking entry was not completely effective, since the person could easily tamper the documents that they are submitting.

Solution / Approach:

Zerone Consulting’s core offerings include Cloud, Mobile, web application development and product engineering, IoT, Analytics, Cognitive Computing, Artificial Intelligence, Blockchain, Robotic Process Automation, Face Recognition, Natural Language Processing solutions. They meet the needs across verticals viz. Travel & Leisure, Logistics, Healthcare, Legal, Retail, Media & Publishing, Financial Services, Communities & Associations. 

The company has developed an AI-based facial recognition solution that completely rules out the need for maintaining physical ID proofs or documents to verify an individual’s identification details. This helped the customer obtain a uniform system to effectively keep track of individuals who are prohibited from entering sensitive premises. As soon as a person seeks entry to a restricted territory or to a public event, the person’s face is scanned at the entrance to see if they were included in the list of individuals banned from entering such places. 

Impact / Implementation:

-50% reduction in the risk of security threats

-80% faster and accurate matching capability 

-40% cost savings through AI solution

Source: NASSCOM COE-DSAI AI for Good report