
PAQi GateKeeper
End-of-Line Quality Inspection
Our end-of-line inspection systems are designed to deliver reliable, automated quality checks at the final stage of production. These systems integrate advanced AI vision to detect surface defects, missing components, and dimensional issues in real time. Built to match production speed and accuracy requirements, our EOL solutions help reduce rework, improve yield, and ensure that only defect-free parts move forward. Seamless integration with PLCs and plant systems provides full traceability and rapid feedback.


High-Resolution Industrial Cameras
Calibrated to capture fine surface detail and dimensional accuracy across entire assemblies in a single or multi-angle scan.
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PAQi Controller Unit
Industrial-grade controller with built-in PLC and edge AI compute, providing synchronized control and rapid feedback for automated end-of-line tasks.

Lighting Enclosure
Fully enclosed lighting hoods reduce ambient light interference and standardize inspection conditions across shifts.

Lighting
Tailored lighting solutions enhance contrast for final-stage inspections, revealing surface flaws and missing features in fully assembled parts.

Robotics
Collaborative or industrial robots for automated part presentation, pass/fail sorting, or dynamic inspection angles.
System Features

Safety Device
Light curtains, area scanners, and e-stop systems ensure operator safety around robotic and automated motion zones.
Technical Overview
System Capabilities
GateKeeper systems are built to handle complex part geometries, automation sequences, and inspection criteria with fully integrated robotics, lighting enclosures, and vision systems.





Integration Points
Feature
Options
Details
Camera Resolution
Inspection Cycle Time
Detection Accuracy
Lighting Requirements
Part Handling
Trigger Method
Output Format
Data Logging
5 MP – 42 MP
1.5 – 3.0 sec
≥ 95% F1 Score
Diffuse / RGBW
Fixtured / Robot-placed
PLC / Robot / Sensor
Pass/Fail + Class/Value
Enabled
Based on part size and feature resolution
Includes image capture + AI inference
Using QC Hero AI models
Tuned per surface reflectivity and material
Consistent orientation preferred
Supports edge or software trigger
Includes defect category or measurement
Optional image + result export via API













