Fresh camera evidence
Each supported feed is designed to show its latest frame time and distinguish stale imagery from live status.
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.
Each supported feed is designed to show its latest frame time and distinguish stale imagery from live status.
Motion can increase scanning, but motion alone is not configured to create 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. Before a phone call, about six frames around the event are checked; it rings only if at least two confirm a real person.
Record Telegram delivery, phone escalation, recipient sequence, and acknowledgement.
The same camera frames feed both loops. At night they protect the site; during the day they build the picture of how the day went.
Fresh frames from every configured camera.
Possible people are found locally; motion alone is ignored.
About six frames around the event; at least two must confirm a real person.
Photo on Telegram, then the phone rings. Held-back calls still send the photo with a note.
Every person sighting is kept with its time and camera.
All dayRegular people on a timeline; routine jobs marked done, late or not seen. Unknown faces ask "Who is this?" on Telegram.
Opt-inA short summary of the day on Telegram.
EveningA PDF of the last 24 hours by email and Telegram, with a to-do list for the day.
6:10 AMEvery 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 changes scan frequency but does not independently create 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.