TRL AI — Vision Intelligence Platform
Workflow Camera to verified alert

The intelligence
behind your
cameras.

TRL AI turns fresh frames from your existing cameras into verified, reviewable events and sends the right alert to the right people.

CaptureDetectVerifyAlert
TRL AI
One monitoring workspace

Designed for teams that need clarity at night.

Camera freshness, verification state, event evidence, and alert delivery stay visible when every minute matters.

Evidence-first system
01

Fresh camera evidence

Each supported feed is designed to show its latest frame time and distinguish stale imagery from live status.

02

Verification before escalation

Motion can increase scanning, but motion alone is not configured to create a security alert.

03

Complete alert history

Follow Telegram delivery, phone escalation, recipients, and acknowledgement in one timeline.

Solutions Spec sheet

One workflow, clearly explained.

Each stage exposes the evidence needed to understand what happened and what the system did next.

Capture Fresh
Verify Contextual
Alert Traceable

Every stage remains visible.

Move from live camera state to verified event and alert outcome without losing context.

Capture

Camera Frames

Read fresh frames from each configured camera and expose live, stale, or offline state.

Detect

Local Detection

Evaluate frames for possible human presence while rejecting motion-only triggers.

Verify

Context Check

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.

Alert

Delivery Timeline

Record Telegram delivery, phone escalation, recipient sequence, and acknowledgement.

Two loops, one system

Alerts at night. Insight by day.

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.

Night alert loop

  1. Frames

    Fresh frames from every configured camera.

  2. Person check

    Possible people are found locally; motion alone is ignored.

  3. Multi-frame check

    About six frames around the event; at least two must confirm a real person.

  4. Telegram & call

    Photo on Telegram, then the phone rings. Held-back calls still send the photo with a note.

Daytime loop

  1. Frames

    Every person sighting is kept with its time and camera.

    All day
  2. People & work

    Regular people on a timeline; routine jobs marked done, late or not seen. Unknown faces ask "Who is this?" on Telegram.

    Opt-in
  3. Evening summary

    A short summary of the day on Telegram.

    Evening
  4. Morning report

    A PDF of the last 24 hours by email and Telegram, with a to-do list for the day.

    6:10 AM

A surveillance workflow you can trust.

Every step is readable: what the camera saw, how it was verified, who was alerted, and what happened next.

Capture
Detect
Verify
Alert

Event timeline

Evidence trail
Step 01
Capture fresh frame
Camera

Read the configured camera and record its freshness timestamp and connection state.

Step 02
Detect possible person
Edge AI

Evaluate the frame locally; motion changes scan frequency but does not independently create an alert.

Step 03
Verify the candidate
Vision

Use contextual verification to confirm a relevant event or reject an animal or artefact.

Step 04
Alert and record
Response

Deliver evidence to configured recipients and record each delivery and acknowledgement.

Progress
Evidence retained Delivery recorded

Automation that stays understandable

Controls

Automate nighttime monitoring while keeping schedules, recipients, health, and event evidence visible.

Schedule
Armed Window
Choose when each site and camera should be monitored.
Recipients
Escalation
Set Telegram and phone recipients in the required order.
Review
Event Feedback
Mark events true, false, or unsure and record review notes.

Every camera, edge device, and alert connected.

One clear operational path across sites without hiding stale feeds or failed delivery states.

Capture
Detect
Verify
Alert
Performance stats

Operational states that stay truthful.

Designed to show exactly what is active, delayed, degraded, or offline.

Cameras
4+
Monitoring
24/7
Detection
EDGE
Evidence
LIVE

See this workflow on your cameras.

Get a guided walkthrough of camera compatibility, detection, verification, and alert delivery.

Existing cameras · Edge-assisted monitoring · Verified alerts