Capability

Applied Computer Vision

Turning visual data into real-world intelligence.

Computer vision becomes valuable when it works outside the lab - across messy environments, variable lighting, imperfect cameras, and real operational constraints. Bytecraft builds applied computer vision systems designed to observe, interpret, and respond in the real world.

What we build

Detection and tracking systems

Identifying objects, people, or activity over time.

Scene understanding

Interpreting environments and spatial relationships.

Real-time alerts and signals

Surfacing events that require attention or action.

Vision systems embedded in operations

Not standalone demos - part of a larger system.

How we approach vision systems

Design for variability, not ideal conditions
Evaluate models in real environments early
Integrate vision into downstream systems
Treat vision as perception, not decision-making

Computer vision should inform systems - not operate in isolation.

When this is a good fit

You need insight from video or image data
Conditions are uncontrolled or dynamic
Vision outputs need to drive real action

Exploring computer vision in the real world?

Let’s design a vision system that performs under real conditions.