Data CAMP
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.
Manage all manufacturing big data in an integrated manner with easy compatibility with legacy equipment, existing production systems, and commercial analysis tools.
Batch collect and transmit manufacturing data using various communication protocols
Data CAMP widely supports most communication protocols used in industry, including FTP, network drives, TCP/IP sockets, Modbus/MELSEC, REDIS, and AMQP. Through this, users can conveniently collect all types of data such as inspection images, inspection results, CCTV images, sound data, vibration data, and PLC data generated from various facilities and sensors. Data CAMP supports a user-friendly data query interface and data set export function, allowing easy transfer to various legacy systems such as MES and ERP as well as external commercial analysis tools.
Seamlessly connect even older devices
Manufacturing sites with a long history use older equipment that does not use network protocols or analog measuring instruments such as thermohygrometers. The AHHA Labs team helps you collect and analyze a variety of analog data while minimizing physical changes to existing equipment. For example, you can use a camera to photograph the display or dashboard of legacy equipment in real time and then extract important data using an optical character recognition (OCR) algorithm. By introducing Data CAMP, you bridge the gap between legacy equipment and the latest digital systems, experiencing seamless digital transformation (DX) even in a 100-year-old manufacturing site.
Easy and fast automatic preprocessing
The data produced by numerous devices comes in various formats, such as CSV, JSON, and YAML. Since this equipment data is not directly compatible, each data set must be checked individually. To understand the entire factory status, you must convert each file format one by one and collect the data.
Data CAMP automates this process. Use the recipe function to convert and integrate various structured/unstructured data into the desired format. Users can directly specify the output data format for transmission and storage to legacy systems such as NAS and DB. Data CAMP also supports multiple techniques, including regular expressions (RegEx), a powerful string processing tool, to automatically perform data referencing, insertion, removal, merging, statistical preprocessing, and event triggering.
Achieve your business goals
by quickly collecting and analyzing data
using Data CAMP.
Achieve your business goals by quickly collecting and analyzing data using Data CAMP
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...
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