Traditional attendance methods are time‑consuming, error‑prone, and difficult to scale across large classes and campuses.
Roll calls and registers take away valuable teaching time, especially in large classrooms.
Manual or card‑based systems are vulnerable to misuse and proxy attendance.
Administrators struggle to get real‑time, consolidated attendance data across classes, shifts, or campuses.
Mikshi AI analyzes live camera feeds at classrooms, entry points, or common areas to monitor student presence. Attendance data is centrally analyzed and delivered through dashboards, alerts, and reports—enabling accurate, timely, and scalable attendance monitoring.
Centralized Attendance Monitoring: View attendance data across classrooms, sections, or campuses from a single dashboard.
Automated Attendance Reports: Generate class‑wise, shift‑wise, or day‑wise attendance reports without manual effort.
Real‑Time Attendance Insights: Identify absenteeism patterns and irregular attendance early.
Multi‑Campus Attendance Governance: Apply consistent attendance monitoring across multiple institutions or buildings.
Optimize logistics with real-time safety intelligence.
Prevent incidents, ensure compliance, and boost performance.
Live video feeds from cameras in classrooms or entry areas are securely captured.
AI models analyze video feeds to detect student presence during defined attendance windows.
Attendance events are logged with timestamps and location context.
Attendance data is displayed on dashboards and included in downloadable reports.
One platform delivering smart decisions across the organization
Automation eliminates roll calls and manual data entry.
Visual verification improves attendance integrity and discipline.
Teachers can focus on instruction instead of administrative tasks.
Reliable attendance data supports academic performance tracking and regulatory reporting.
Detect after‑hours intrusions in real time using AI‑powered video intelligence on your existing cameras.
Request a DemoOne platform delivering smart decisions across the organization
No additional biometric devices or hardware required.
On‑premise, cloud, or hybrid deployment based on institutional IT policies.
Define attendance windows by class schedules, shifts, or sessions.
Can integrate with LMS, SIS, or academic reporting systems.
Supporting businesses across manufacturing, retail, logistics, and more.
Flexible, scalable AI built to fit your industry needs.
Protect public transit hubs and city squares by detecting unattended bags instantly, supporting anti-terror protocols for immediate assessment.
Ensure hospital safety by detecting unidentified bags in crowded waiting rooms, preventing panic and maintaining clear evacuation routes.
Safeguard students by monitoring corridors and assembly halls for suspicious packages, allowing security to quickly identify and isolate threats.
Enhance shopper safety by monitoring food courts for abandoned luggage, managing security threats without disrupting the shopping experience.
Protect bank branches and ATM lobbies by detecting bags left behind, distinguishing between lost property and potential security threats.
Secure corporate lobbies and mailrooms by flagging unattended items left by visitors. Mitigate security risks by ensuring no object is left unowned in sensitive facility areas.
Automate student attendance using AI‑powered video intelligence on your existing cameras.
Request a Demo