Inspection Image Comparison
Color imaging reveals differences in color and surface characteristics that are difficult to distinguish in monochrome images, improving defect identification and making visual review easier for operators.
Depending on the defect type, UV, IR, and specialized optics for dent inspection help detect defects that are difficult to identify under conventional illumination, including DFR residue, open/short defects beneath solder resist (SR), and dents.
AI inspection targets irregular defects in critical areas that are difficult to detect using conventional rule-based inspection, helping reduce detection blind spots.
Using ODB++, Gerber, and Golden Board data, the system generates inspection regions and supports detailed segmentation and inspection parameter settings for areas such as Bump, Metal, SR, Pattern, and Via.
IVS uses defect images captured by AVI to classify and measure defects, review potential false positives, and support final OK/NG decisions.
High-magnification All-in-Focus images generated from multiple focal planes, together with Pseudo 3D View, enable detailed re-examination of defects that are difficult to assess.
Using CAM data, NAS, and databases, Pixel Master centrally manages inspection recipes, supports deployment across inspection systems for the same product model and recipe reuse for similar models, and reduces equipment-specific tuning time.
Data Master centrally consolidates defect assessment results, inspection specification status, defect occurrence trends, and statistical data across inspection systems, helping users monitor inspection status and quality trends.
An automated optical inspection system for high-volume panel production, utilizing color imaging to detect defects.
An automated optical inspection system designed for final visual inspection of semiconductor packages in strip, unit, and tray formats.
An image-based verification system that uses defect images captured by AVI to review potential false positives, classify defects, and support inspection decisions.
A precision verification system that uses high-magnification All-in-Focus imaging and Pseudo 3D View to re-examine defects that are difficult to assess.
A centralized management platform for CAM data, NAS storage, and inspection specifications, enabling efficient recipe deployment across multiple inspection systems and production lines.

PIXEL AI uses AVI/AFVI images and CAM data to inspect critical areas and detect irregular defects. It also learns overkill patterns to help reduce false positives and integrates with IVS/ICS workflows to support final inspection decisions.
Process-specific color inspection images enable rapid AI model training and scalable deployment across production lines.
An AI system designed for manufacturing environments, supporting both defect inspection and inspection-result filtering.
PIXEL integrates rule-based inspection, AI inspection, and operator review to reduce the risk of defect escapes and minimize reliance on manual inspection.
Depending on the defect type, color imaging and multi-wavelength optical options provide operators and AI systems with additional visual information for defect identification.
By integrating IVS, AI filtering, and ICS into a step-by-step workflow, PIXEL enables precise inspection reviews while minimizing the risk of defect escapes.
Pixel Master enables centralized recipe management, accelerating recipe deployment across multiple inspection systems for the same product model and significantly reducing machine-specific recipe tuning time.
AI Inspection for Critical Areas Enhances the Detection of Defects That Are Difficult to Identify Using Rule-Based Inspection Alone.
Even defects that typically rely on manual visual inspection—such as dent defects—can be detected using PIXEL's specialized optical technology.