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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.

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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.
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Lighting Enclosure
Fully enclosed lighting hoods reduce ambient light interference and standardize inspection conditions across shifts.
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Lighting
Tailored lighting solutions enhance contrast for final-stage inspections, revealing surface flaws and missing features in fully assembled parts.
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Robotics
Collaborative or industrial robots for automated part presentation, pass/fail sorting, or dynamic inspection angles.

System Features

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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.

Complex Assembly Verification

Interior modules, enclosures, trim panels, component stacks

Integration Points

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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

Applications

Final-stage inspection of complex assemblies, verifying quality, completeness, and compliance before product release.

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Automotive

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Agriculture

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Furniture

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