AIREST combines computer vision, acoustic AI, and environmental sensing into a unified real-time protection layer β acting before harm occurs.
Analyzes every frame in real time β detecting abnormal motion patterns, intent signals, and physical danger before they escalate. Trained on thousands of hours of annotated safety scenarios.
Monitors voice tone, pitch, and volume patterns to detect anger, distress, and threatening behavior. Identifies crying, choking sounds, and emergency vocalizations instantly.
Remote photoplethysmography technology monitors breathing patterns and detects fever spikes without any physical contact β providing continuous health surveillance.
Identifies dangerous objects, hazardous materials, fire proximity, and unsafe environmental conditions β triggering immediate alerts before a child makes contact.
AIREST cameras continuously analyze visual, audio, and environmental data streams simultaneously β 24/7 without interruption.
Our multi-modal AI models cross-reference all data streams to identify danger patterns β distinguishing normal activity from genuine threats with precision.
Beyond detecting what is happening, AIREST analyzes intent β identifying threatening behavior before physical harm occurs.
When danger is confirmed, AIREST triggers immediate alerts to parents and caregivers β intervening in under one second, not after the fact.