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Attendance Device Intregration

Efficient and seamless attendance data processing is crucial for accurate workforce management. This document outlines various methods of integrating devices for attendance tracking, the necessary data requirements, and the automated processing framework.

  • Automated Attendance Tracking: Reducing manual entry errors by integrating biometric and IoT-enabled devices.
  • Data Synchronization: Ensuring real-time data consistency between multiple sources, including databases and external systems.
  • Enterprise Resource Planning (ERP) Integration: Matching employee IDs with ERP records to maintain accuracy.
  • Secure Authentication: Utilizing biometric data (fingerprint, face recognition, NFC cards) for secure identification.
  • Cross-Platform Compatibility: Supporting multiple database environments (MySQL, MSSQL) for data processing.

To create an automated, reliable, and efficient attendance data processing system that minimizes manual intervention and ensures accuracy by leveraging device integration and data processing methodologies.

Explanation of Data Processing & Integration​

Attendance Data Receiving Methods:
  • Manual Entry: Single and batch entry for attendance records.
  • Entry from Device: Data reception via POST API.
  • Entry Upload: Supports both device data uploads and manual entries.
  • File Reader: Processing attendance logs from external files.
  • Pull via Script: Extracting data through automated scripts.
  • Push via PrismADC Mobile App: Direct transmission from mobile-based attendance systems.
  • Database Integration: Supporting MySQL and MSSQL environments.
  • EVTX Log Parsing: Attendance data extraction from system event logs.
Required Information for Data Processing:
  • Employee ID: Must match ERP records.
  • Authentication Methods: Fingerprint, facial recognition, NFC card.
  • Network Connectivity: Attendance data captured over the internet/intranet via IP/Device Serial.
  • Valid Records: Ensuring valid employee records, timestamp accuracy, and URL integrity.
Data Receiving & Posting:
  • EVTX or Active Directory File Processing: Automating log-based attendance tracking.
  • PrismADC Push API: Facilitating seamless and direct data push from devices.
PrismADC Architecture:
  • Fully automated attendance data processing.
  • Devices directly push attendance records without intermediaries.
  • No human intervention required for data handling.
  • Supports all ADMS-compliant devices.

Key Features​

  • Fully Automated Process: Eliminates manual data entry errors.
  • Multiple Integration Methods: Supports APIs, scripts, and direct database entry.
  • Secure Data Handling: Biometric authentication ensures high security.
  • Real-time Data Processing: Ensures up-to-date attendance records.
  • Cross-Platform Support: Compatible with MySQL and MSSQL databases.
  • Flexible Entry Methods: Supports device uploads, manual entry, and log parsing.
  • Enterprise-Ready Architecture: Seamless ERP and network integration.

Conclusion​

PrismADC provides an efficient and automated attendance data processing solution with seamless device integration, ensuring high accuracy, security, and real-time data synchronization. This system is designed to cater to enterprise needs, eliminating manual errors and improving workforce management efficiency.