Data CAMP
(Collecting, Analyzing, Monitoring, Predicting)
Use manufacturing big data to achieve successful digital transformation(DX)
CUSTOMER SUCCESS STORIES
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,...
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...
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...
DataCamp easily integrates with existing systems, collecting, monitoring, and analyzing data to help predict on-site conditions
Features
Compatible with Legacy Systems
Manage all manufacturing big data in an integrated manner with easy compatibility with legacy equipment, existing production systems, and commercial analysis tools.
Scalable thanks to Micro-Service Architecture
Add or remove equipment, facilities, data, and features flexibly without additional software development.
Easy to use No-code Recipe UI
Easily implement data pipelines optimized for manufacturing processes with a recipe-based, no-code blockcoding UI.
Business intelligence enabled by user-friendly dashboard
Analyze patterns in manufacturing data and detect anomalous trends in real time using Data CAMP’s advanced statistical process control (SPC) capabilities.
No downtime in 3 years (RUST-based core engine)
The Rust-based core engine processes manufacturing big data in real time with zero downtime, 24/7/365.
System Requirements
| Minimum | Recommended | |
| CPU | Intel Core i5 | Intel Core i9 |
| RAM | DDR4 16GByte | DDR4 64GByte |
| Storage | 256GByte SSD | 2TByte PCle 4.0×4 M.2 SSD + External Storage / NAS |
| Network | 4Port Gigabit Ethernet | 4Port 10Gigabit Ethernet |
| Minimum | |
| CPU | Intel Core i5 |
| RAM | DDR4 16GByte |
| Storage | 256GByte SSD |
| Network | 4Port Gigabit Ethernet |
| Recommended | |
| CPU | Intel Core i9 |
| RAM | DDR4 64GByte |
| Storage | 2TByte PCle 4.0×4 M.2 SSD + External Storage / NAS |
| Network | 4Port 10Gigabit Ethernet |
✓ Pre-Implementation Considerations
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- System Requirements: Requirements can vary depending on the volume of data to be processed. The minimum requirements are based on processing 80 MBytes of data per second.
- Data Processing Capacity: The amount of data that can be processed in a certain period of time is influenced by the network environment. Ethernet ports need to be installed considering purpose and accessibility, we will provide an ideal network specification after on-site inspection.
- Storage Space: Storage space is dedicated to the system and database. If large data storage is needed (e.g., for images), additional storage space must be secured separately.
- Performance Improvement: Consider a multi-node configuration to enhance performance. Each node does not need to have identical specifications; prioritize the main node’s specifications and add sub-nodes accordingly.
Next Step →
Discover how AHHA Labs’ industry-leading solutions deliver unparalleled value to your organization.