Overview
Maintaining a fleet of IoT devices and camera networks running consistently is a massive operational challenge. Angah VMS was built to solve the "operational blindness" that occurs when hundreds of sensors and cameras are distributed across a school campus — and no one knows in real time which ones are online, offline, or misbehaving.
It is a high-performance centralized system built on the premise that hardware management should be as invisible and reliable as software running in the cloud. The platform monitors, updates, and now intelligently reacts to the physical flow of people inside the institution.
Key Features
- Intelligent and Unified IoT Management: A central dashboard presenting a real-time health check of every camera and device on the network, monitoring latency, bandwidth, power consumption, and operational status.
- Reporting and Control: Administrators can schedule or extract technical reports on network stability and downtime incidents, essential to prove SLAs for end clients.
- Remote Device Update Control (OTA): Secure delivery of firmware updates Over-The-Air to specific batches of devices, ensuring security patches and new AI models reach the edge without onsite human intervention.
- Facial Recognition & Attendance: AI-powered student detection through camera feeds automatically logs attendance records, eliminating manual roll calls and reducing administrative overhead.
New — Smart Canteen Counter
Version 2 of the platform introduces an intelligent student flow counter integrated directly into the camera network. Cameras positioned at canteen entry points detect and count students passing through in real time, building a live picture of how many people are headed to lunch at any given moment.
This data feeds a food demand estimation engine: based on the counted flow, historical consumption patterns, and the school's registered student body, the system automatically projects how many meals need to be prepared — reducing food waste and preventing the canteen from running short.
