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Transforming Attendance Tracking with Q3’s Face Attendance System (FAS) For a Prominent Apparel Retail Company

Transforming Attendance Tracking with Q3’s Face Attendance System (FAS) For a Prominent Apparel Retail Company

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    Synopsis

    Technology Stack

    OpenCV

    .NET Wrapper EMGU

    NET Framework 4.0

    WCF Services

    Client Overview

    The client is a Leading Apparels Retail Company.

    Challenge

    The client required an automated attendance system for their store executives/employees across India to replace the existing manual register attendance entries to avoid fake attendance marked by the employees. The Client also wanted to monitor attendance details of their employees.

    Solution

    After an exhaustive research and evaluation against multiple criteria’s, our experts came up with the following solution –

    • OpenCV: An evolutionary working application was created using OpenCV as a standard face detection third party solution.
    • Code Optimization: To minimize the face recognition failure probability, the code optimization techniques like in lining small functions, loop optimization, and common sub-expressions elimination were performed on the OpenCV code.
    • Code Optimization: To minimize the face recognition failure probability, the code optimization techniques like in lining small functions, loop optimization, and common sub-expressions elimination were performed on the OpenCV code.

    Outcome

    Interactive and easy to maintain
    Rich user-interface
    Detailed monitoring of attendance
    Centralized attendance system

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