PAQi InLine
Real-Time Inline Inspection and Process Monitoring
PAQi In-Line enables real-time vision inspection embedded directly into fast-moving production lines. Whether inspecting for defects, dimensional variance, part presence, or label verification, In-Line systems are fully integrated with your existing PLC and MES frameworks. With QC Hero’s AI and support for GigE, USB3, and proprietary cameras (including SICK and Photoneo), this solution supports up to 6 synchronized cameras across multiple inspection zones, delivering rapid feedback and automatic quality sorting without disrupting takt time.
High-Resolution Industrial Cameras
Fixed-mount area scan cameras designed for fast image acquisition and reliable performance at production speeds.
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PAQi Controller Unit
Modular industrial controller with built-in I/O, edge computing, and real-time factory communication protocols.
Barcode Scanning
Integrated code readers for high-speed 1D and 2D barcode scanning across complex product geometries.
Lighting
Optimized lighting systems for uniform image contrast and consistent defect visibility across varying materials.
Conveyor Integration
Configurable hardware and signaling designed to interface directly with moving production lines for real-time inspection.
System Features
Technical Overview
System Capabilities
​PAQi In-Line systems combine high-resolution imaging, advanced AI vision, and industrial connectivity for continuous, automated quality control. Optional capabilities include lighting control, OCR, traceability, and real-time defect sorting.
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
