에 의해서 webmaster | 2월 28, 2025 | Quality Control
AI Inspection with 86% Cost Reduction Using On-Device AI Challenge Defects caused by external contaminants are unpredictable in shape, making rule-based algorithms ineffective—necessitating a deep learning model based on unsupervised learning. Existing facility PCs...
에 의해서 webmaster | 2월 25, 2025 | Quality Control, Predictive Maintenance
Transforming Battery Manufacturing with AI Inspection & Data Automation From Manual Inspections to Smart Factories: The Evolution of Battery Production Chloe Woo | Content Strategist Toggle Step 1: Automating Data Collection, Visualization & Storage(1) A...
에 의해서 webmaster | 2월 10, 2025 | Quality Control
A 3-Step AI Inspection Pipeline for Rubber Sheet Defects: Automating Detection, Classification, and Location Analysis Challenge In the tire manufacturing process, rubber sheets produced during the calendering process lacked an automated quality inspection system and...
에 의해서 webmaster | 2월 4, 2025 | Predictive Maintenance
Boosting Control Efficiency of Battery Assembly Lines by 300% Through a Remote Monitoring System Challenge The assembly lines for EV batteries are massive and highly complex, requiring multiple personnel to monitor equipment status and respond to alarms. However, a...
에 의해서 webmaster | 1월 16, 2025 | Predictive Maintenance
Detecting Inspection Data Drift Caused by Material Changes: A Case Study on the Data Quality Index (DQI) Model Challenge In manufacturing, consistently capturing high-quality optical images is essential for training machine learning models and ensuring high...
에 의해서 webmaster | 1월 16, 2025 | Predictive Maintenance
Predicting Motor Failures with Vibration Sensor Data (Predictive Maintenance) Challenge Previously, vibration sensors were installed on power plant motors, and inspections were conducted based on predefined rules. However, since the specific influence of each...
