AI-powered compliance
automation.
CAML is Euclid's computer-aided machine learning platform for real-time safety monitoring and compliance automation using computer vision.
Safety compliance that watches when humans can't.
Manual safety audits are periodic, subjective and reactive. CAML replaces them with continuous, objective, real-time monitoring — using computer vision models trained on industry-specific safety scenarios.
The platform ingests live video feeds from existing camera infrastructure, runs inference at the edge for sub-second latency and surfaces violations through configurable alerting workflows — with full video evidence and audit trails.
From PPE detection on construction sites to zone monitoring in manufacturing facilities, CAML turns passive surveillance into an active compliance engine — reducing incident rates and audit preparation time by orders of magnitude.
Enterprise-grade safety intelligence,
from camera to compliance report.
Real-time Video Analytics
Continuous analysis of live camera feeds using computer vision models trained on industry-specific safety scenarios — PPE detection, restricted area monitoring and hazard identification.
Pose Estimation
Skeleton-based pose tracking detects unsafe postures, ergonomic violations and fall risks in real time — enabling proactive intervention before incidents occur.
Zone Monitoring
Geofenced virtual zones with configurable rules for occupancy limits, unauthorized entry detection and equipment proximity alerts across facility layouts.
Alert Management
Multi-channel alerting with severity classification, escalation workflows and acknowledgment tracking — integrated with your existing incident management systems.
Compliance Reporting
Automated compliance dashboards with trend analysis, violation heatmaps and regulatory-ready reports for OSHA, ISO 45001 and industry-specific standards.
Audit Trail
Complete event logging with video evidence, timestamp correlation and chain-of-custody documentation for every detected violation and response action.
From video feed to
compliance report.
Ingest
Live video feeds from IP cameras, drones or edge devices are ingested and preprocessed at the edge for low-latency analysis.
Detect
Computer vision models run inference on each frame — identifying PPE compliance, unsafe postures, zone violations and environmental hazards.
Alert
Violations trigger real-time alerts through configurable channels — SMS, email, dashboard notifications or direct integration with your incident management platform.
Report
All events are logged with video evidence and fed into compliance dashboards — giving safety teams audit-ready reports and trend analytics.
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Ready to automate
safety compliance?
Schedule a demo to see CAML in action — from live video inference to compliance dashboards — using your facility's camera infrastructure.