AI Machine Vision Solutions

Five ways vision stops quality problems

Every solution runs on EagleEye — Qualitas' deep-learning platform — and deploys on your line without replacing existing infrastructure.

Choose your inspection goal

Every cluster solves a different quality problem

AI-trained models detect dents, scratches, paint faults, and sub-surface anomalies at full line speed — on any material, geometry, or finish.

Vision-based counting eliminates shortfalls and overages — whether parts are dropping through a chute or moving along a belt, at high speed.

Non-contact optical gauging measures every part at production speed — no sampling, no CMM backlog, real Cpk from 100% of parts.

OCR, line-balance tracking, operator activity monitoring, and inline quality checks — turning cameras into process intelligence.

Catch wrong-part and short-count errors as bins move in or out of storage — before they reach the line, without slowing the warehouse.

Tell us about your parts and inspection goal — our engineers will scope the right approach and the ROI you can expect.