USE CASE
USE CASE
Manufacturing AI projects delivered by IMPIX. Each case is laid out as problem, data collected, modules applied and result.
- Automotive
AI Machine Vision for Hard-to-Detect Defects in Injection Molding
Deep learning detects the scratches, gas marks and stains that rule-based vision cameras missed, while production and equipment data predict quality and optimize process conditions. The process defect rate fell from 8% to 4%.
Read more → - Automotive
Intelligent Injection Process and Inspection Automation
Inspection automation and quality prediction introduced to a labour-intensive vertical injection process that required eight people per machine. Output per minute rose 121% and the quality defect rate fell from 11% to 2%.
Read more → - Other
AI Quality Prediction on Equipment Data — Injection, Heat Treatment and Welding
A production process that relied on experienced operators was moved onto lot-level datasets and AI quality prediction. Across three processes, defect loss cost fell by ₩5.6M and good-part output rose 13%.
Read more → - Automotive
Deep Learning Predictive Maintenance for Automotive Parts Assembly
Reactive repair after breakdown was replaced with predictive maintenance. An auto-encoder model on fastening equipment and a CNN model on inspection equipment predict faults and replacement cycles in advance.
Read more → - Automotive
AI Autonomous Control of Paste Coating Based on Quality Prediction
Unstructured data from vision sensors and structured data from the PLC were combined to derive the optimal coating volume, which is then written back to the equipment setpoint — closing the control loop.
Read more → - Pharmaceutical & Biotech
Predictive Maintenance Through AI Anomaly Detection in Pharmaceutical Processes
A data management system was built to collect and use, in real time, the high-volume process data generated by core equipment in injectable drug manufacturing, enabling early detection of equipment anomalies.
Read more → - Other
Data-Driven Color Defect Root Cause Analysis and Quality Assurance AI
Color deviation in a dyeing process was predicted from equipment operating conditions and batch volume. Color judgment where instrument readings and the human eye disagreed was moved onto data that can be explained.
Read more → - Pharmaceutical & Bio
Operational Optimization and Quality Improvement Through a Metaverse Factory
A pharmaceutical production site was rebuilt in a virtual environment and used for operational optimization and quality improvement. Delivered under the 2023 Metaverse Factory support program of the Ministry of SMEs and Startups.
Read more → - Health Functional Food & Cosmetics
AI-Based Smart Factory for Cosmetics Manufacturing
Equipment data from a cosmetics manufacturing process was used to classify sub-processes automatically and predict quality. A structure where defects surfaced only after production ended became one that predicts during production.
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