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WebOccultGotilo

IndusInd General Insurance: AI-Powered Face Recognition Attendance

indusInd

Customer

IndusInd General Insurance in Mumbai needed a secure, touch-free way to manage attendance for approximately 500 employees per shift while reducing buddy punching, tailgating and unauthorised off-hours access.

Project Details

  • Location: Mumbai
  • Industry: BFSI / Insurance
  • Status: Implemented
  • Deployment: On-prem
  • Implementation timeline: 2 months

Technologies:

  • Face recognition
  • Night-vision / IR cameras
  • On-prem inference
  • HRMS integration
  • End-to-end encryption and face anonymisation
problem-img

Problem

The existing attendance process relied on finger biometrics and handled only one person at a time.

  • No reliable data was available on staffing hours for the large workforce.
  • Unauthorised or unregistered people could potentially enter during off-hours.
  • Misuse of the existing system and the risk of tailgating created a security concern.
  • The replacement had to recognise people while they moved through the passage, without requiring them to stop.
solution-img

Solution

WebOccult implemented an on-prem face recognition attendance and access-monitoring solution using night-vision / IR cameras.

  • The model was trained to recognise employees while they are moving.
  • Attendance and actual time spent inside the office are recorded automatically.
  • Buddy detection and live monitoring improve access control.
  • A custom HRMS integration gives authorised teams access to attendance records.
  • End-to-end encryption, face anonymisation and network isolation protect employee data.

99.9%

Detection accuracy

99.5%

Reported accuracy

< 1 sec

Recognition time

Key impact

cskeyfb-img1

Attendance for approximately 500 employees per shift

cskeyfb-img2

Actual time in the office captured automatically

cskeyfb-img3

Buddy detection, live monitoring and secure HRMS access

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