Siloed, manual monitoring
Cameras, sensors, and edge systems live in separate tools, forcing teams to watch screens and chase data.
Missed risk and near-misses
Most issues go unnoticed unless they turn into incidents.
Reactive, inconsistent response
What gets addressed depends on who’s watching, which usually happens too late.
Multi-modal intelligence
Camera, sensor, and edge signals are interpreted together to understand what’s actually happening.
Human-in-the-loop decisioning
AI surfaces meaningful events, while people provide oversight, judgment, and action where it matters.
Consistent, proactive improvement
Aligned logic applies across sites, revealing patterns early so teams can intervene before issues escalate.

Peter Edlund
Executive Vice President
Peter responds to your common AI detection questions.
Still not sure where to turn? Schedule a chat with Peter or one of our AI detection experts.
Most of our clients start with a 2-step Proof of Concept:
1. Proof of Concept – Lite
2. Connected POC
1 site / 5–20 cameras/devices
Pre-trained vision models for real-time edge detection
Real-time notifications
Centralized dashboard with actionable insights
eMagicEyes is designed for:
Site discovery & camera mapping
Demonstrated detection of targeted behaviors with agreed accuracy
New visibility into near-misses and unsafe patterns previously unseen
Fewer false positives over time through tuning and human review
Evidence of behavior change (reduced repeat violations)
Identified bottlenecks and process issues with quantified impact
A clear multi-site rollout plan with business case and budget