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Do you have concerns such as wanting to "find the cause" or "make predictions for countermeasures" or "utilize data"? "NTech Predict" leads you to solutions for problems such as estimating causes from data, forecasting the future, and predicting equipment failures. It features a simple interface that requires no specialized knowledge and can be easily utilized. 【Features】 ■ Time Series Forecasting Predicts the future of data that changes over time, such as demand, sales, and customer numbers. ■ Causal Exploration Visualizes the cause and effect (causal relationships) between data that are not visible. * Applies the "LiNGAM model" by Professor Shohei Shimizu of Shiga University’s Faculty of Data Science. ■ Predictive Maintenance Monitors vast amounts of observational data to predict abnormalities in equipment. AI detects signs of failure and notifies via email. Causes are also visualized. 【Characteristics】 ■ Simple Interface: No specialized knowledge required, intuitive to use. ■ Causal Exploration: Implements the LiNGAM model. ■ Simple Usability: Just import CSV files and click. * We are currently offering a 30-day free trial version. If you are interested, please mention this in your "Contact Us" request.
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Free membership registrationIn "Robot Operation Learning" (a tool for creating training content), you can create PC content that allows you to learn how to operate robots in a game-like manner. Using a GUI designed to match the actual robot, even detailed movements are faithfully reproduced. This eliminates the risk of damaging real machines and reduces variability in the content being taught. It consists of a "Tutorial Mode" that educates from standard operations to troubleshooting methods, and a "Test Mode" that measures learning effectiveness through problem formats. 【Features】 ■ Reduces the hassle of arranging training facilities and scheduling ■ Visualizes learning progress through "Test Mode" ■ Achieves standardization of education by eliminating bias from instructors *For more details, please feel free to contact us.
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Free membership registrationBased on the curriculum prepared by our company, our data scientists will provide training to enable you to conduct data analysis on your own. The goals include: - Analysis using graphs - Correlation analysis - Risk analysis using multivariate regression models - Building basic predictive models - Creating simple artificial intelligence And more.
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Free membership registrationOur Neutral "Protrusion Detection Tool" is an inspection tool that uses 3D data to reduce costs and man-hours during the design and development stages of automotive development. It significantly reduces inspection man-hours for compliance with external protrusion regulations in the automotive industry and for product development that requires high safety standards! Additionally, our proprietary algorithm (patent pending) shortens the time required for inspections while achieving high precision (with a probability of less than 1% for errors exceeding 5%). 【Common Issues During Development】 - Inspection standards are becoming stricter, leading to increased man-hours... - Extra man-hours are incurred due to rework after design completion... - We want to conduct pre-checks during the design phase to prevent rework... ⇒ Automating external protrusion compliance inspections dramatically improves productivity in 3D development! 【Features of the Protrusion Detection Tool】 ■ Dramatic improvement of inspection processes during the design phase with our proprietary algorithm (patent pending) ■ High-speed inspections lead to reduced development time and cost savings ■ High-precision inspections help prevent rework and improve productivity ■ Capable of measuring challenging discontinuous surfaces and sphere contacts * Please try our free beta version first! * For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration<Function Overview> ■Support for Large-Scale 3D Data - Capable of loading 10 million to 300 million polygons (14GB) Up to 590 million polygons (when GPU memory is 8GB) ■Speeding Up Loading Time - Compacting data without compromising quality using our technology (optimizing data without reduction processing) - Initial loading at 5GB/3min for compacting ⇒ Loading time is reduced to a few seconds for subsequent loads. ■Simple Data Editing Features - Automatic cleaning, smoothing functions, data volume reduction, automatic hole filling ■CAD Data Import Functionality - Supports IGES and STEP formats. ■Available as a Development Framework - Additional feature development is possible (command and plugin functionality) *Providing as a framework is chargeable. Please inquire separately for pricing. ■Command Plugin Functionality - Develop the functions you want to process (language does not matter, such as C, C++) - Just write and place it in a specified text file. *We also undertake the development of necessary functions. Please inquire separately.
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Free membership registrationOur developed "Large-Scale 3D Data Viewer" is a framework that provides essential 3D data visualization and accompanying standard GUI operations for the development of visualization applications that handle 3D data. By being structured as a framework, it reduces development time and allows for the handling of large-scale data without stress. Therefore, it is very effective as a framework for those who wish to develop their own simulator! 【Recommended for】 ⇒ Manufacturers related to robots and conveying equipment, as well as those involved in maintenance and preservation, and those considering in-house development of simulators due to difficulties in operating actual equipment. 【Features】 ■ Visualization/editing of 3D data at hundreds of millions of polygons ■ Fast loading processes ■ Easy customization and addition of plugins ■ Support for various data formats 《Free trial currently available! You can apply through the link below!》 *For more details, please refer to the PDF or feel free to consult us.
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Free membership registrationOur developed "Large-scale 3D Data Viewer" is a framework that provides essential 3D data visualization and accompanying standard GUI operations for the development of visualization applications that handle 3D data. It can load large-scale data quickly, allowing for the import of previously unreadable scan data and the reduction of data size. Additionally, it can automatically perform simple edits, making it perfect for those who find the tedious pre-processing for 3D printing, such as removing debris, filling holes, and surface smoothing, to be cumbersome! 【Recommended for】 ⇒ 3D printer users 【Features】 ■ Visualize/edit 3D data at hundreds of millions of polygons ■ Fast loading processing ■ Easy customization and addition of plugins ■ Supports various data formats 《Free trial currently available! You can apply through the link below!》 *For more details, please refer to the PDF or feel free to contact us.
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Free membership registrationOur developed "Large-scale 3D Data Viewer" is a framework that provides essential 3D data visualization and accompanying standard GUI operations for developing visualization applications that handle 3D data. ◆ When the scan data from a 3D scanner is too large to be imported... ◆ When the data is too heavy and causes operational issues... In such cases, this "Viewer" comes into play! It can also handle data that cannot be managed or loaded by other products. 【Recommended for the following people!】 ⇒ 3D scanner users 【Features】 ■ Visualize/edit 3D data at hundreds of millions of polygons ■ Fast loading processing ■ Easy to customize and add plugins ■ Supports various data formats 《Free trial currently available! You can apply through the link below!》 *For more details, please refer to the PDF document or feel free to consult us.
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Free membership registrationWe have started an analysis service that clarifies the causal relationships in data by implementing the LiNGAM (linear non-Gaussian acyclic model) model into our in-house tools. The necessity of statistical causal exploration Why causality? When you want to take some action based on insights gained from data analysis, relying solely on predictions is often insufficient. Generally, data analysis tends to focus on building models that explain phenomena well, which are then used for predictions, such as forecasting sales for the next month or predicting harvest yields. What are the goals of data analysis that recent users are seeking? It is important to know the next actions to take (such as advertising strategies, marketing strategies, etc.). Traditional statistical causal exploration Statistical causal exploration is not an entirely new concept, but it is very challenging within data analysis and is not something that can be used like regression analysis. The initial task is to set assumptions, and at this stage, it is necessary to create a causal diagram (DAG) using experiences from observational data. In other words, it is not a magic trick where causal relationships are automatically derived.
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Free membership registrationThis is a framework that provides essential 3D data visualization and standard operation systems necessary for developing applications that handle 3D data. It allows for rapid development of visualization applications, enabling developers to focus their efforts on the core development tasks. 【Features】 - Quickly create a 3D Viewer - Effortlessly visualize large-scale data - Smooth operation even with large datasets of hundreds of millions of meshes - Basic operations are standardly included A demo is currently available on a video site. https://www.youtube.com/watch?v=ZId0CX53NPo&feature=youtu.be *For more details, please download the catalog or feel free to contact us. A free viewer using this product, 3D-DataViewer (beta version), is available for download from Vector. Please give it a try. http://www.vector.co.jp/soft/winnt/art/se516661.html
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