TRL AI helps teams understand what their cameras are seeing, verify important activity, and respond with evidence instead of watching every feed throughout the night.
We build for owners, managers, installers, and monitoring teams who need truthful camera health, understandable decisions, and a clear alert trail when an event matters.
Every event exposes its camera, timestamp, frame, decision, recipients, and delivery outcome.
Critical states stand out without hiding camera failures, verification delays, or unsuccessful alert delivery.
Use compatible existing CCTV and IP cameras instead of replacing the complete surveillance setup.
Motion increases attention but never becomes a security alert until relevant activity is verified.
Authorized users can acknowledge, label, and annotate events while preserving the operational history.
Connect sites, cameras, edge devices, verification, recipients, and event history without losing the context between them.
Each role sees the controls and evidence needed to monitor, review, configure, or support the system responsibly.
Manage sites, cameras, schedules, recipients, users, billing, and retention from one tenant-scoped workspace.
Monitor live camera state, review events, acknowledge alerts, and coordinate response without changing billing or ownership.
Connect edge devices, test camera freshness, verify model health, and diagnose connectivity through time-bound access.
Review confirmed events, delivery history, acknowledgements, and audit records across monitored locations.
Manage tenants, plans, support incidents, and operational health through an isolated internal console.
Customers should understand what remains on site, what may be sent for verification, how long evidence is kept, and who changed each setting.
Five visible stages keep detection, verification, delivery, and retention understandable.
The edge device reads each configured camera and records the latest frame time and connection state.
Local AI evaluates the frame. Motion may increase sampling, but it never creates an alert by itself.
Contextual verification confirms a relevant event or rejects animals and visual artefacts.
Telegram receives the event evidence and configured phone escalation follows the authorized recipient order.
Authorized users acknowledge and label the event while media follows the tenant retention policy.
Check compatibility, review the monitoring workflow, and plan a deployment around your cameras, sites, schedules, and alert recipients.