에 의해서 webmaster | 4월 25, 2025 | Insights
Discover How the AHHA Labs Team Analyzes AI Training Results and Continuously Improves Model Performance By Doohee Lee, AI Researcher at AHHA Labs Toggle 1. Confusion Matrix: Analyzing Classification, Segmentation, and Anomaly Detection Performance2. Bounding Box...
에 의해서 webmaster | 4월 15, 2025 | Insights
Unlocking High-Performance AI: How AHHA Labs Builds Smarter Datasets By Doohee Lee, AI Researcher at AHHA Labs Toggle 1. Collecting the Right Data: It’s Not About Volume—It’s About Variety(1) Capture a wide range of cases(2) Don’t ignore the edge cases2....
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 | Predictive Maintenance, Quality Control
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...
