Staff Attendance

To better manage attendance, the solution adopts the agility of such cloud capabilities as face recognition, position locating, and campus map to generate and upload attendance data.
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Business Challenges

  • Staff Attendance

    For enterprise managers, it is important to stay informed of employee attendance details. However, card-punching has many loopholes which allow some employees to slip through the net. Even if enterprises manage to obtain genuine attendance data, the O&M Cost is still too expensive, especially for large cross-regional enterprises

  • Customized Position Management

    Generally, different positions require different attendance systems due to their differences. These may be differences in attendance time requirements, fixed or flexible work locations, and more. These differences make it difficult and costly to manage staff attendance effectively

  • Recognition Algorithms Requires Agile Update

    Face Recognition supports basic staff attendance and customized requirements, but for more complex environments, Face Recognition results can be affected by changes in lighting, posture, and facial expressions. Characterized by features extraction and description, Face Recognition requires constant optimization of mathematical descriptions

Solution Architectures

Description

Face Attendance is a video surveillance platform that supports face capturing, storage, comparison and analysis. Edge nodes perform face detection and report surveillance video streams, while back-end cloud services complete storage, facial comparison and other functions

Highlights

  • Face Recognition: provides face comparison and analysis for staff attendance
  • Intelligent EdgeFabric (IEF): provides integrated edge and cloud synergetic services
  • Cost-efficient and scenario-adapted: supports all cameras complying with international standard protocol, adapts to a variety of staff attendance scenarios
Solution Advantages

  • Face Attendance Analysis

    Uploads all facial images of staff members to the Face Recognition Library, captures real-time facial image when a person passes the camera, and compares with the existing faces in the library. If the comparison result matches, attendance information can be displayed

  • Insensible Real-time Attendance

    Attendance is recorded without the need to punch cards. In addition, multiple people can simultaneously record their attendance

  • Multi-scenario Linkage

    Reduces costs and improves efficiency by associating the face attendance system with scenarios such as entry gates and personnel trajectory tracking

Key Functions
  • Face Recognition Service
    Face Recognition quickly detects faces in images, analyzes key facial points, obtains facial attributes, and implements precise face verification and retrieval. This service is perfect for customers working with identity verification, e-attendance, trace tracking, and customer attribute analysis
  • FunctionStage Service
    FunctionStage is an event-driven function hosting and computing service, that compiles function code and configures running conditions without provisioning or managing servers, thus providing a scalable, maintenance-free, and reliable operation environment for functions
  • Intelligent Edge Platform Cloud Service
    Intelligent EdgeFabric (IEF) provides integrated edge-cloud synergy services, and enables remote control, data processing, and analytics of edge computing resources
Partners

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