Face Recognition System

Author

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Designation

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designation

duration

facial

Key Takeaways

  • Accurate and Fast Face Detection: Can quickly detect faces in real-time, even in challenging lighting conditions and complex backgrounds.
  • Designed to comply with relevant privacy and data protection regulations, such as the GDPR
  • Highly reliable and can operate continuously, 24/7. Also can handle high volumes of traffic and is designed to withstand the wear and tear of constant use.

Client Overview

Our client is a major financial service company in Japan. Also, a bank holding company, helps other companies to be made into subsidiaries under the Banking Law. With the business purpose of conducting business that can be done, they carry out business management, necessary to improve the management efficiency of the Group and to realize the combination of features and strengths in business fields and functions.

Problem Statement

The exponential growth and the increase in their employee count made it difficult for the company to mark the attendance and calculate the payroll manually. This process of marking attendance, identifying productive working hours, and preparing payrolls based on the same consumes 40% of the teams’ total working time. The chances of a miss-match and the margin of errors can be high in such a scenario. An online platform that automates employee attendance tracking and can forecast and prepare payrolls with the minimum human intervention will reduce the margin of errors and give highly reliable data.

Our solution :

Innovature proposed a tracking system where employee personal details and their physiological characteristics are mapped onto their respective profiles and equipped to track the activities. The system enables the company to stay connected with their employee and monitor everything about them inside the company, thus bringing a considerable end to the time-theft activities. The Software enables the accurate tracking of employee working time and, the company can pay their employees based on the same.

The system provides accurate and reliable employee attendance. Also helps to resolve buddy punching as it is one of the serious problems faced by many companies with outdated security and tracking systems. Generally, most of the employees will try to save their buddies to get full attendance by punch instead of them. But when it comes to face recognition in Biometric Attendance System, one could not make it possible. Therefore, it is the best technique to follow.

Values we brought in

Reduced the human intervention by 56%
Saved 40% of the team’s productive time
Resolved issues like buddy punching and tailgating
Delivered within a short timeframe to meet customer’s release plan

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Tech stack

java
mysql
aws
aws cloudfront

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Our solution :

Innovature proposed a tracking system where employee personal details and their physiological characteristics are mapped onto their respective profiles and equipped to track the activities. The system enables the company to stay connected with their employee and monitor everything about them inside the company, thus bringing a considerable end to the time-theft activities. The Software enables the accurate tracking of employee working time and, the company can pay their employees based on the same.

The system provides accurate and reliable employee attendance. Also helps to resolve buddy punching as it is one of the serious problems faced by many companies with outdated security and tracking systems. Generally, most of the employees will try to save their buddies to get full attendance by punch instead of them. But when it comes to face recognition in Biometric Attendance System, one could not make it possible. Therefore, it is the best technique to follow.

Values we brought in

Reduced the human intervention by 56%

Saved 40% of the team’s productive time

Resolved issues like buddy punching and tailgating

Delivered within a short timeframe to meet customer’s release plan

Values we brought in

Reduced the human intervention by 56%

Saved 40% of the team’s productive time

Resolved issues like buddy punching and tailgating

Delivered within a short timeframe to meet customer’s release plan

Reduced the human intervention by 56%
Saved 40% of the team’s productive time
Resolved issues like buddy punching and tailgating
Delivered within a short timeframe to meet customer’s release plan