3
Types of user control roles with vary authorities
Artificial Intelligence for

AI-Powered Industrial Safety & Surveillance Platform

Securewatch v3 is a full-stack, AI-powered surveillance platform that processes multi- camera RTSP feeds in real time using NVIDIA Triton-hosted YOLO models
A snapshot of the platform's key capabilities, operational scale, and real-time monitoring performance
Types of user control roles with vary authorities
Incidents modules tracking available
Number of active sensors as of now used for tracking
Continues security surveillance available
Processes multiple RTSP camera feeds in parallel with live AI inference for instant safety and security insights.
Detects missing or improper PPE in real time and raises actionable safety violations.
Identifies personnel at entry points and links recognition events to attendance workflows.
Reads vehicle plates from camera feeds to support access control and site monitoring.
Monitors crane activity and utilization patterns to improve operational safety and efficiency.
Synchronizes detections into managed incidents with acknowledgement, notes, and SOP-driven actions.
Pushes real-time alerts to operators when violations or anomalies are detected.
Exports incident and analytics data in standard formats for audits and reporting.
Processes multiple RTSP camera feeds in parallel with live AI inference for instant safety and security insights.
Identifies personnel at entry points and links recognition events to attendance workflows.
Monitors crane activity and utilization patterns to improve operational safety and efficiency.
Pushes real-time alerts to operators when violations or anomalies are detected.
Detects missing or improper PPE in real time and raises actionable safety violations.
Reads vehicle plates from camera feeds to support access control and site monitoring.
Synchronizes detections into managed incidents with acknowledgement, notes, and SOP-driven actions.
Exports incident and analytics data in standard formats for audits and reporting.
Introducing our own smart

Processes RTSP feeds through Triton-hosted YOLO models for person/vehicle/PPE/crane detections. This is the core perception layer that drives all downstream automation
Camera Sensors
6 Active as of now

Synchronizes incidents from violation sources and manages status transitions, acknowledgements, false-positive marking, notes, and SOP/report actions. This converts raw detections into managed operational incidents.
Smart Incidents Management
AI based detection with manual interventions
Aggregates intrusion, sound, smoke, temperature, and environmental telemetry from multiple sensor types. It adds context beyond vision-only surveillance for stronger safety situational awareness
Fire Detection
Protect before cause
Noise Detection
Manage noise levels
Temperature Detection
Inform radical activities

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