Student Attendance Management System (RS-SAMS)
Human Resources Information Solutions

Student Attendance Management System (RS-SAMS)

Touch-Free Facial Recognition Attendance for Schools & Colleges

Overview

RS-SAMS eliminates time wasted on manual roll calls by using facial recognition to automatically record student attendance as they enter the classroom. It directly uploads attendance to the institution's ERP/server via WiFi, sends live percentage alerts to parents, and generates subject-wise and lecturer-wise compliance reports — ensuring UGC minimum attendance norms are met without administrative burden.

Key Features

Facial Recognition — Zero Contact

Students are identified by face as they walk into class. No touching of devices — hygienic, fast, and tamper-proof. A single portable device serves multiple sections by rotation.

Automated WiFi Upload to Server

Attendance data is wirelessly pushed to the central ERP server immediately after class, eliminating manual data entry by faculty.

Early Warning & Parent Notifications

The system tracks live attendance percentages per student and triggers automated messages to parents when attendance falls below the threshold.

Customized Reports

Generate subject-wise, lecturer-wise, classes-held vs. classes-missed reports. Supports Regular, Lateral Entry, Backlog students, Lab sessions, and Elective periods.

Sturdy, Portable Device

8-hour battery life with stainless steel housing. One device can be rotated across multiple classrooms, making it cost-effective for institutions of any size.

UGC Compliance Tracking

Automatically flags students at risk of missing the 75% minimum attendance requirement mandated by UGC, allowing early intervention.

Business Benefits

  • Eliminates 5–10 minutes of roll call per class
  • Zero data entry for faculty — attendance goes directly to ERP
  • Parents stay informed in real time
  • Meets UGC attendance compliance requirements automatically
  • Hygienic touchless operation — ideal for post-COVID institutions
  • Cost-effective: one device, multiple sections