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HMS Case Study

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A Lab in Your Pocket: Data-Driven Decision-Making

Portable Device for On-Site Analysis

HMS Solution

Working closely with experts from trinamiX, HMS developed a modular software solution consisting of a universal mobile app connected to the infrared detector, a cloud-based backend for data processing and management, and a web-based customer portal. HMS also set up an environment for deploying and operating the underlying machine learning models.

Sensor data is automatically transferred from the device to the cloud backend via the mobile app. Based on each sensor reading, the system generates a score that gives users real-time results and supports immediate decision-making. Sensor data and model predictions can also be analyzed in greater detail through the customer portal.

Project summary

#industry

trinamiX

 

Industry: Sensors and Measurement
Focus: Data Science & Machine Learning
Use Case: MLOps & Model Operations

Solution

Universal mobile app, cloud backend, and web-based customer portal

Applications

Plastics recycling, agriculture, cosmetics, and the chemical industry

Tech Stack

python angular machine learning microsoft azure kubernetes sql azure devops r azure cosmos db .net mlops javascript terraform android

Customer Benefits

By combining the powerful capabilities of its proprietary NIR sensor with the scalability and flexibility of cloud computing, trinamiX has expanded the range of applications for NIR spectroscopy. The innovative mobile NIR solution has helped improve customer processes in sectors such as plastics recycling, agriculture, cosmetics, and the chemical industry.

More information on NIR spectroscopy

https://trinamixsensing.com/mobile-spectroscopy

Nicolai Henrichs
Nicolai Henrichs
Principal Sales & Solutions Consultant | Partner

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