01
Perceive
Connect securely to existing video streams and identify relevant objects, behaviors and conditions.
Sovereign computer vision
Vision that protects
what matters.
EyeSafe transforms existing camera infrastructure into private, real-time intelligence, helping critical environments detect risk, coordinate decisions and respond with confidence.
Edge inference active
Video remains on site
01
On-premise by design
02
Works with existing cameras
03
Real-time operational alerts
04
Built for controlled environments
01
The platform
Turn passive cameras into an active layer of intelligence.
EyeSafe observes critical scenes locally, interprets events as they happen and delivers only the information teams need to act. The result is a clearer operational picture without sending sensitive footage to an external cloud.
02
Interpret
Apply context-aware rules at the edge, close to the scene and independent of public cloud connectivity.
03
Respond
Route actionable alerts and evidence to the right team, system or control point in real time.
02
Applications
One visual intelligence layer. Three high-stakes environments.
Industrial safety
A / 01
Protect people before an incident occurs.
Monitor PPE compliance, restricted areas and interactions between people and vehicles, while keeping safety teams focused on events that require attention.
Access & logisticsA / 02
Make every arrival visible and verifiable.
Recognize vehicles, plates and container references to support faster, more controlled site access.
Academic integrityA / 03
Support fair, attentive supervision at scale.
Surface unusual events for human review and create a consistent, time-referenced record for exam teams.
03
Private by architecture
Your video stays where it belongs.
EyeSafe processes camera streams inside your environment. Raw footage does not need to travel to a third-party cloud for interpretation, giving your organization direct control over data, latency and continuity.
Discuss your environmentOn-site processing flow
Camera networkRTSP / ONVIF
EyeSafe edgeLocal inference
Operational actionAlert / control / audit
Private network boundary · raw video remains under your control
04
A measured approach
From one priority use case to an operational deployment.
Understand the site
We map the operational objective, camera coverage, environment and constraints.
Validate in context
A focused pilot tests the use case against real conditions and team workflows.
Deploy with control
We integrate the edge system, alert paths and governance around your operation.
Private pilot consultationCasablanca · Morocco
Bring intelligence closer to the moment that matters.
Tell us about one operational challenge. We will explore how a focused on-site pilot could address it.
mohammed.elbaraka@emines.um6p.ma