AI Computer Vision Integration

From inspection requirement to accepted production system.

STATGATOR approaches computer vision as an integration discipline—not simply a model-training exercise.

Complete lifecycle

Every decision affects the system that follows.

Station design determines what images can be collected. The images determine what can be learned. Validation determines whether the complete system can be trusted in production.

01 Requirements and statement of work
02 Feasibility and inspection planning
03 Camera, lens and lighting selection
04 Station, fixture and product presentation
05 Image collection and annotation strategy
06 Configuration, training and benchmarking
07 Validation and false-positive/false-negative analysis
08 HMI and production integration
09 Deployment, acceptance and sign-off

Start to finish

The integration process

A production AI vision system is built as a complete integration. Each stage establishes the conditions required for the next.

Define Define the inspection objective, constraints, responsibilities and acceptance criteria. A strong statement of work aligns expectations before hardware is installed or data is collected.

Successful AI integration is measured by how reliably the entire inspection system performs on the plant floor, day after day.

Discuss an Inspection