Fresh camera evidence
Every feed shows its latest frame time and never presents stale imagery as live.
TRL AI turns fresh frames from your existing cameras into verified, reviewable events and sends the right alert to the right people.
Camera freshness, verification state, event evidence, and alert delivery stay visible when every minute matters.
Every feed shows its latest frame time and never presents stale imagery as live.
Motion can increase scanning, but motion alone never creates a security alert.
Follow Telegram delivery, phone escalation, recipients, and acknowledgement in one timeline.
Each stage exposes the evidence needed to understand what happened and what the system did next.
Move from live camera state to verified event and alert outcome without losing context.
Read fresh frames from each configured camera and expose live, stale, or offline state.
Evaluate frames for possible human presence while rejecting motion-only triggers.
Confirm relevant candidates before creating an actionable security event.
Record Telegram delivery, phone escalation, recipient sequence, and acknowledgement.
Every step is readable: what the camera saw, how it was verified, who was alerted, and what happened next.
Read the configured camera and record its freshness timestamp and connection state.
Evaluate the frame locally; motion only changes scan frequency and never creates an alert.
Use contextual verification to confirm a relevant event or reject an animal or artefact.
Deliver evidence to configured recipients and record each delivery and acknowledgement.
Automate nighttime monitoring while keeping schedules, recipients, health, and event evidence visible.
One clear operational path across sites without hiding stale feeds or failed delivery states.
Designed to show exactly what is active, delayed, degraded, or offline.
Get a guided walkthrough of camera compatibility, detection, verification, and alert delivery.