Overview

General Information

Product	SmartHCM Mobile
Feature	Face Recognition Attendance
Approved By	SmartHCM Quality Assurance
Effective From	01-Feb-2024

Introduction

The Face Recognition Attendance feature allows users to mark their attendance using facial recognition technology. This feature streamlines the attendance tracking process, providing a secure and efficient alternative to traditional methods.

To register your face for the attendance system, please follow these steps:

• • Enable Face Registration Module:**

  - Navigate to the "Mobile Device Attendance Setup" screen in HCM.
  - Check the checkbox labeled "Face Registration" to activate the module.

• • Access New Face Registration Module:**

  - Open the mobile application.
  - Select the "New Face Registration" module.

• • Capture Your Facial Biometrics:**

  - Follow the on-screen instructions to initiate the facial recognition process.
  - Ensure you are in a well-lit environment for optimal results.
  - Position your face correctly within the frame as guided by the prompts.

• • Register Multiple Images:**

  - Capture and register 2 or more images of your face.

• • Background Considerations:**

  - For best results, use a plain white background during enrollment.
  - Alternatively, if using different backgrounds, ensure multiple images are enrolled to enhance recognition accuracy.

• • Why Register Multiple Images with Various Backgrounds?**

Registering 2 or more images of your face with multiple backgrounds serves two essential purposes:

1. **Enhanced Recognition Accuracy:**

  - By registering multiple images, the system can better capture variations in your facial features under different lighting conditions and backgrounds.
  - This enhances the system's ability to recognize your face accurately during attendance marking, reducing the likelihood of false rejections or acceptances.

2. **Adaptation to Environment:**

  - Enrolling images with diverse backgrounds helps the system adapt to various environmental conditions.
  - It ensures robust performance across different settings, such as varying lighting conditions or backgrounds encountered during attendance recording.