Judgment varies by inspector
Subtle defects become subjective, increasing training and quality-control effort.
Visual Inspection AI
Build visual inspection AIaround your actual line
Scratches, chips, contamination, foreign matter, and presence checks. We design imaging, AI judgment, and deployment around your samples and defect criteria.
01 / Overview
First create imaging conditions the AI can rely on
Visual inspection depends on cameras, lenses, lighting, workpiece presentation, and defect criteria—not only on a model. We begin with real samples and validate the conditions that make relevant features consistently visible.
Common inspection challenges
Defects vary in shape and position
Rule-based checks struggle when defects are not uniform.
Images are unstable
Reflection, shadows, color variation, and position shifts obscure the signal the AI needs.
02 / Applications
Example inspection targets
The right configuration depends on the workpiece, defect, and line. These are examples for initial assessment.
Scratches and chips
Judge line scratches, dents, molding chips, and related surface defects.
Contamination and foreign matter
Capture differences between normal surfaces and unwanted material.
Presence and assembly
Check missing parts, orientation, and assembly state.
Print and labels
Assess print loss, position, and label condition where imaging permits.
03 / Approach
What the PoC validates
Imaging feasibility
Compare lighting and angles to make defects consistently visible.
AI judgment feasibility
Use good and defective samples to compare results with actual criteria.
Operational feasibility
Define how results, retraining, logs, and equipment integration will work.
Visual Inspection AI
Visual inspection depends on cameras, lenses, lighting, workpiece presentation, and defect criteria—not only on a model. We begin with real samples and validate the conditions that make relevant features consistently visible.
04 / Process
PoC and deployment process
We validate with real samples before making performance commitments or moving on site.
- 01
Define inspection requirements
Clarify the workpiece, defects, false rejects, and missed-defect priorities.
- 02
Imaging validation
Compare cameras, lenses, lighting, and workpiece position.
- 03
AI judgment PoC
Validate the model on sample images and review results together.
- 04
Deployment and operation
Design integration, logs, and retraining, then evaluate on site.
05 / FAQ
Frequently asked questions
Can AI detect any defect?
It depends on the workpiece and how the defect appears. We first verify that the required features are visible in a stable image.
Is there a fixed number of samples required?
No. It depends on defect variety and variation. We begin with available good and defective samples and define what additional data is needed.
Can you integrate with existing equipment?
Yes. We review judgment signals, image storage, PLCs, and upstream-system requirements when designing the configuration.
Visual Inspection AI