PAQi CellView
Standalone Vision Cells for Automated Quality Control
PAQi CellView is a powerful standalone vision system housed in a dedicated station for offline or supplemental inspection tasks. Designed for flexible deployment near production lines or in QA labs, it features multi-angle camera configurations, lighting enclosures, and robotic or manual part presentation. Ideal for high-mix, low-volume environments or cells with evolving requirements, CellView runs QC Hero models alongside VBAI or proprietary tools and integrates with traceability systems to record every inspection with pinpoint accuracy.
High-Resolution Industrial Cameras
Delivers detailed imaging for individual part evaluation, ideal for manual or batch inspections of low-volume components.
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PAQi Controller Unit
Ruggedized inspection controller with real-time factory communication and native support for AI vision models.
Lighting Enclosure
Fully enclosed lighting hoods reduce ambient light interference and standardize inspection conditions across shifts.
Lighting
Optimized lighting systems for uniform image contrast and consistent defect visibility across varying materials.
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
PAQi CellView systems can be configured for surface inspection, dimensional validation, and barcode reading. Options include precision part fixturing, rotary tables, custom lighting, and offline result review portals.
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
