
People
Detection, counting, occupancy, dwell time, trajectories and crowding.
ARTIFICIAL INTELLIGENCE + COMPUTER VISION
We apply Artificial Intelligence and Computer Vision to your operation’s cameras to identify risks, understand flows, detect events and generate real-time information.
TECHNOLOGY APPLIED TO THE REAL WORLD
Cameras traditionally used for monitoring can do much more than record. With Omnicog, images are analyzed by Artificial Intelligence to identify events, measure behavior, understand flows and generate information that can be used by people and systems.
The camera captures. Omnicog interprets. Your operation decides.
CAPABILITIES
We turn elements in a scene into data, events and evidence that operations can use.

Detection, counting, occupancy, dwell time, trajectories and crowding.

Identification, classification, movement, access and dwell time.

Recognition of equipment, cargo, PPE and operation-specific classes.

Intrusion, line crossing, restricted-area entry and unauthorized dwell time.

Queues, heat maps, occupancy, trajectories, concentration and bottlenecks.

Relevant situations configured for each environment and converted into alerts and evidence.

FROM IMAGE TO INFORMATION
Each project defines which classes, zones, movements and events are relevant. The technology is configured to turn the scene into a useful signal and deliver it to whoever needs to act.
Explore our technology approach →SOLUTIONS
The same Computer Vision foundation can be configured for different operational challenges, separating technological capability from the market where it is applied.

Operational security
Turn cameras into sensors that identify people, vehicles and events in monitored zones.
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Occupancy and journey
Counting, occupancy, trajectories, queues, dwell time and heat maps from video.
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Vision models
Recognize classes of people, vehicles, objects, equipment and conditions relevant to your operation.
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Risk and compliance
Monitor risk zones, access, configured situations and safety elements according to the scenario.
Explore application →MARKETS
Different environments have different problems. Omnicog adapts the technology to the context, infrastructure and decision flow of each operation.

Occupancy, mobility, urban events and use of public spaces converted into operational information.
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People, vehicles, equipment, access and operational areas in complex logistics environments.
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Flows, queues, occupancy and controlled areas to support safety and operational efficiency.
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Flows, occupancy and access in care environments, with privacy and governance by design.
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Critical areas, people, vehicles, equipment and movement in high-complexity operations.
Explore market →HOW IT WORKS
A clear chain designed to connect with real operations.

Cameras and video sources provide the images from the operation.

Computer Vision models continuously analyze the scenes.

People, vehicles, objects, zones and relevant situations are identified.

Events become data, indicators, alerts and evidence.

Information reaches VMS platforms, APIs, dashboards, control centers and operational teams.
INTEGRATION + TECHNOLOGY
Adding AI does not necessarily mean replacing cameras, VMS platforms or systems. Omnicog can operate as an intelligence layer that receives images, interprets events and integrates results with the existing ecosystem.
Cameras + VMSIP · RTSP · existing video
Omnicog AIEdge · central · hybrid
Systems + OperationsAPI · BI · VMS · control center · alertsEXPERIENCE AT SCALE
Our experience applying Computer Vision to infrastructure showed that highways require specialized knowledge, technology and products. That is how Omnivias was created.
A concrete example of how a Computer Vision challenge can evolve into an operation at scale.
ABOUT OMNICOG
Omnicog was founded in 2021 with a simple idea: turn the images companies already capture into information they can use.
We develop technology to interpret images, identify events and understand environments by combining Artificial Intelligence, engineering and knowledge of the operational problem.
Our goal is not simply to make AI recognize an image. It is to make that information create value in the real world.
Learn our story →INSIGHTS
Guides on Computer Vision, Edge AI, video analytics and operational applications for teams evaluating technology in practice.
COMPUTER VISION
Learn how images become classes, events, data and decisions.
Read article →EDGE AI
Latency, connectivity, security and scale help define the architecture.
Read article →SECURITY
AI can filter events and direct attention to situations that require a response.
Read article →FREQUENTLY ASKED QUESTIONS
Computer vision analyzes images and video to identify people, vehicles, objects, movement, zones and events. Omnicog turns these readings into data, alerts and integrations for operations.
Yes, when resolution, positioning, lighting, connectivity and infrastructure meet the application requirements. Technical assessment starts with existing video sources to maximize reuse.
Common applications include people, vehicles, equipment, objects, occupancy, dwell time, trajectories, queues, line crossing, zone entry and events defined for each operation.
Not necessarily. Omnicog can work as an intelligence layer over existing infrastructure and integrate events with VMS platforms, APIs, dashboards, corporate systems and control centers.
The architecture is flexible. Inference can run close to the cameras, on central infrastructure, in the cloud or in a hybrid model depending on latency, connectivity, security and scale.
We start with the operational problem: what must be identified, measured or monitored. Then we assess images, infrastructure, integrations, success criteria and pilot scope.
Purpose, data minimization, access, retention and governance are considered from the design stage. The project must comply with the operating environment, applicable privacy rules and customer policies.
Yes. Omnicog is a Brazilian company founded in 2021 and develops its Artificial Intelligence and Computer Vision technology in Brazil.
NEXT STEP
People, vehicles, objects, equipment, behavior, flows or specific situations in your operation. Tell us what you need to identify, measure or monitor.