SLARM Smart Lock and Room Monitoring System
Embedded IoT system combining face recognition, BLE sensor mesh, and secure audit logging for access control and monitoring.
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Overview
SLARM is a secure access control and environmental monitoring system designed for sensitive indoor environments.
Description
The system combines dual factor authentication using CNN based face recognition and a PIN with a BLE sensor mesh for real time environmental monitoring. A Raspberry Pi 5 acts as the central hub, aggregating data from distributed sensor nodes and performing on device anomaly detection using a Kalman filter.
All access events and anomalies are immutably logged using a lightweight custom blockchain to provide auditability without heavy infrastructure. Data is visualised through Grafana dashboards and embedded displays.
SLARM achieved strong real world performance, including a 92 percent authentication success rate and reliable anomaly detection across multiple fault scenarios. The system remained stable during extended operation over a mobile hotspot.