Achieve your business goals with
AHHA Labs’ trusted data and
AI technology
Achieve your business goals with AHHA Labs’ trusted data and AI technology
Success case
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Quality Control
Predictive Maintenance
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...
Transforming Battery Manufacturing with AI Inspection & Data Automation
From Manual Inspections to Smart Factories: The Evolution of Battery ProductionWith the rapid expansion of the electric vehicle (EV) market, the...
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 relied...
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...
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 manufacturing revolves around the...
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 the 21700...