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 Chloe Woo | Content Strategist | 7월 3, 2024 | Quality Control
How the Anomaly Detector model was used to automate the quality control process using only normal data Challenge Pouch-type batteries have flexible surface geometry, complicating defect identification. This makes it challenging to use existing rule-based...
에 의해서 Chloe Woo | Content Strategist | 12월 14, 2023 | Quality Control
Implementing Quality Control in Multi-Product Small-Batch Production through the Utilization of Data CAMP’s ‘RECIPE’ feature 1. Challenge Managing Varied Quality Standards for Each Model without a Centralized History View The latest trend in...
에 의해서 Chloe Woo | Content Strategist | 12월 14, 2023 | Quality Control
[Case Study] Data Integration: Managing Inspection Data by Barcode Number for a Secondary Battery Manufacturer with Data CAMP 1. Challenge Lack of a production history management solution to manage product inspection data by barcode number In 2015, the introduction of...
