Human attention is limited
No team can interpret hundreds of scenes simultaneously without losing context.
Creek SafeCity
Understand sooner.
Alert in time.
We interpret the urban scene to issue preventive alerts before an event escalates.
Real-time contextual understanding
The challenge
More video does not mean more understanding.
Thousands of cameras generate signals. The operator needs to know which ones require attention now.
An isolated event says little
Zone, time, trajectory and sequence change its meaning.
Priority must be clear
A useful alert explains what is happening, where and why it matters.
From image to prevention
The camera provides a signal.
Context reveals risk.
- 01 / Scene
What is happening
People, vehicles, objects, movements and dwell times.
- 02 / Context
Why it matters
Zone, time, trajectory, repetition and relationship between events.
- 03 / Alert
What requires attention
The center receives a prioritized, explained situation.
Preventive alerts
Events that change when read in context.
Behaviors and sequences
- Atypical dwell time or loitering
- Repeated approaches
- Struggle or escalating tension
- Fallen person or emergency
Traffic and trajectories
- Vehicle stopped in a sensitive zone
- Wrong-way or anomalous maneuver
- Contextualized license plate of interest
- Cross-camera tracking
Zones and conditions
- Entry into a restricted area
- Abandoned object
- Emerging crowd
- Smoke, fire or critical disturbance
Operations center
The alert arrives ready for a decision.
Location, time, clip and context in one view.
AI prioritizes. The operator retains the decision.
- 01
Prioritize
Ranks events by criticality and city rules.
- 02
Understand
Explains the sequence and shows relevant evidence.
- 03
Coordinate
Delivers actionable information to the responsible team.
- 04
Trace
Preserves every alert for follow-up and investigation.
Assisted investigation
Find the event. Reconstruct the route.
The same layer that alerts also searches, connects and documents what happened across cameras.
Natural language
Find scenes by description, zone and time.
Trajectories
Connect appearances and reconstruct routes.
License plates
Query vehicles within the same platform.
Traceability
Preserve clip, location, camera, date and time.
Implementation
The city already has cameras.
We add understanding.
We integrate existing infrastructure, co-create preventive rules and validate results in a pilot zone.
- 01
Integrate
Existing CCTV and VMS.
- 02
Co-create
Priority contexts and alerts.
- 03
Scale
From pilot to urban network.