Computer Vision Solutions
Intelligent perimeter analysis
Computer Vision perimeter analysis turns security cameras into sensors that can identify people, vehicles and events in monitored zones. The goal is not to create more alarms, but to increase the relevance of what reaches security and operational teams.
What can be identified
- People or vehicles in defined zones.
- Virtual line crossing and entry into restricted areas.
- Dwell time above a configured threshold in sensitive areas.
- Movements and events defined for specific times or locations.
- Images and evidence associated with the event.
Feasibility depends on image quality, camera positioning, lighting, occlusions and operational context. These factors are assessed before the pilot.
Less screen watching. More context.
In operations with many cameras, teams cannot continuously watch every scene with the same level of attention. AI can filter events and direct human attention to situations that require analysis or response.
Integration with operations
Omnicog can work as an intelligence layer over existing infrastructure. Events can be integrated with VMS platforms, security systems, APIs, dashboards, messaging systems or other tools defined in the project.
Where it applies
- Industrial sites and distribution centers.
- Ports, yards and logistics terminals.
- Mining and large operational areas.
- Critical infrastructure and corporate facilities.
- Controlled-access or operational-risk areas.
How a project starts
- Define relevant zones and events.
- Assess available cameras and images.
- Define success criteria.
- Run a controlled pilot and field validation.
- Integrate and evolve the application.
Does the solution replace the security team?
No. Computer Vision supports the team by filtering events, generating evidence and reducing dependence on continuous observation of multiple screens.
Do we need to replace the cameras?
Not always. Existing cameras can be reused when resolution, positioning, lighting and connectivity are suitable for the event to be detected.
Does it work at night?
It can, depending on the camera and available lighting. Low light, reflections, backlight and distance are assessed technically.