Success case
All
Quality Control
Predictive Maintenance
A successful case of reducing ‘false-positives’ by applying a deep learning model to detect ‘type 1 errors’
Challenge If the test standard is set too sensitively to achieve 0%...
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,...
Success case of monitoring ‘data drift’ and performing predictive maintenance with a data quality index (DQI) model
Challenge Consistent optical images must be taken at all times to...
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...
Configuring an AI model pipeline to detect robotic grasping anomalies in real time
Challenge Robot drops battery, causing downtime Difficulty utilizing...
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...