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Our Services

Flow Visualization

The rapid development of the camera technology allows us to look in almost every process and use high-resolution high-speed cameras for process and product monitoring.

We help you design your customized optical setup to get the best pictures from your problem. If the problem exceeds our possibilities, we have the right partners for specialized application.

Over the last years, we developed the Particle Shadowgraphy Velocimetry (PSV) for multiphase flows. By reducing the laser for PIV measurements, the setu-up is only a fraction of the cost and the method can be applied outside of laser labs.  

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Annotation Tools

Over the last 10 years, we develop specialized computer vision applications for the process industry. With this experience, we can design annotation tools specifically to your problem to speed-up the time-consuming process of annotating objects in pictures.

Pairing the latest computer vision techniques with unsupervised machine learning techniques will reduce the annotation time to a minimum. After the initial annotation work is done, we implement a neural network that learns with your annotation. 

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We build the database and develop the data-pipeline to your problem. Streaming the data from the measuring device to your database and produce publish-able dashboards in the cloud or using your intranet.

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Data Pipelines

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Neural Networks

We develop computer vision applications with custom-designed neural networks to your problem. We deliver desktop, server, and server-less solutions that can be integrated into your workflow and your commercial software product.

Data Visualization

Making complex data accessible to decision processes is one of the most important task in data science. We leverage the state of the art dashboards to make all data accessible and easy understandable. We also integrate the data pipeline into your workflow so that your engineers have the data available in their environment.

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Contact Us

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Tempe, AZ 85281, USA

Tel. 480-494-7254

© 2020 TIVConsultancy

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