FactorySmart AI Solutions - Solving Your Inspection Complexity
Автор: LMI Technologies
Загружено: 2025-03-24
Просмотров: 329
FactorySmart AI is a full-service deep learning inspection solution designed for industrial applications. Our comprehensive system includes:
✔️ 2D & 3D Sensor Hardware – High-performance vision sensors tailored to your needs
✔️ Application-Specific Software & HMI – Intuitive interfaces for real-time monitoring
✔️ AI Expertise & Ongoing Support – Continuous model refinement for evolving challenges
Why Deep Learning for Inspection?
Deep learning excels where traditional machine vision struggles—handling high variability in targets and complex defect detection:
🔹 Target Variability Example – Cuts of beef vary significantly. FactorySmart AI automates steak grading (porterhouse vs. t-bone) by precisely identifying features like tenderloin and bone—without complex manual programming.
🔹 Defect Variability Example – In catheter inspection, deep learning detects diverse defects (peeling, scuffs, lines) that would be challenging to pre-program. Each defect is tracked in GoFactory, our performance monitoring HMI, for trend analysis and reporting.
Future-Proof AI for Manufacturing
FactorySmart AI enables seamless model updates on-site or in the cloud, adapting to evolving production environments. This closed-loop system ensures accurate, flexible, and scalable inspection across industries.
🔗 Learn more: https://lmi3d.com/factorysmart-ai-sol...
#DeepLearning #AI #FactoryAutomation #MachineVision #IndustrialInspection
The global leader in 3D scanning and inspection, LMI Technologies works to advance quality and productivity with 3D sensor technology. Our award-winning, FactorySmart® laser, snapshot, and line confocal sensors improve the quality and efficiency of factory production by providing fast, accurate, reliable inspection solutions that leverage smart 3D technologies. Unlike contact based measurement or 2D vision, our non-contact solutions add 3D shape information that is critical to achieving 100% quality control.
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