Data CAMP

Easy to use No-code Recipe UI

    Easily implement data pipelines optimized for manufacturing processes
    with a recipe-based, no-code, block-coding UI.

      Easily implement data pipelines optimized for manufacturing processes with a recipe-based, no-code, block-coding UI.

        AHHA Labs Data CAMP Solution_block coding UI

        Easily organize your data pipelines with a no-code block-coding UI

         

        Data CAMP supports a recipe-based, no-code block-coding UI. Users can combine individual recipe items with a drag-and-drop interface to visually configure and modify the entire pipeline, including data preprocessing and transformation.

        For example, users can batch collect data such as sensor readings, inspection results, images, and acoustic data from various facilities and inspection equipment by specifying communication protocols like FTP and MELSEC. The collected data can be automatically converted to required formats, such as CSV or JSON, and set to automatically perform basic operations for analysis, including referencing, inserting, removing, merging data, preprocessing for statistics, and triggering events. The output file format for transmission and storage can be specified, and the communication protocol used by the parent system, such as DB or MES, can be specified to automatically transmit and store the processed data.

        In short, users can efficiently collect, preprocess, transmit, store, and analyze massive amounts of manufacturing data without the need for complex coding.

         

        High reliability with no-code solution

        With a simple UI/UX based on no-code recipes, the application is also more reliable. Human coding can introduce errors, and poorly developed software can sometimes have cascading effects on manufacturing equipment. In the worst-case scenario, the entire system can go down.

        This is unlikely to happen with Data CAMP, which uses pre-made recipe files to change settings, minimizing human error. Additionally, because it is organized as microservices, even if a recipe file is written incorrectly, it will only cause a specific pipeline to stop working and not have a cascading effect on other systems.

        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.

        Next Step

        Easily organize your data pipeline from data collection to analysis with DATA CAMP’s pre-defined recipes.