Compolytics develops and produces hand-held and in-line sensors for the non-invasive and real-time determination of parameters and measurements of objects based on their biochemical composition. The sensors are based on hyperspectral and multispectral optical measurement methods.

The company follows the concept of soft sensors, i.e., innovative application-specific measurement principles and downstream data modelling of artificial intelligence (machine learning) are used for developing these sensors. As a result, the sensors open completely new applications and are significantly superior to conventional sensors in terms of precision, robustness, user-friendliness, and costs.

Through the targeted use of different levels of data processing, from hardware-embedded to edge and to cloud computing, customer-specific solutions are available for both interactive and automated applications.

The company develops and uses the following technological basis for products and services in various fields of application including agriculture, food, lifestyle, and traceability:

• Primary embodiment of the sensors as a hand-held device for interactive sampling or automated monitoring,
• Implementation of the soft sensor principle with primarily spectral-optical sensor hardware and data modelling based on machine learning,
• Use of existing mass hardware, such as smartphones and wearables as sensor hardware and data modelling based on machine learning,
• Covering the entire range from self-sufficient on-site measurement to edge and fog computing and onwards to proprietary or commercial cloud systems,
• Software-as-a-Service with smart contracts and blockchain-based organisation to ensure correct execution of the measurement for the customer and payment by the customer.

In order to assert unique selling propositions on the market, the company has a relevant development lead and its own or licensed industrial property rights (IPR). These include the expertise and software to parameterise and run machine learning algorithms on high-dimensional functional data as represented by spectral signatures, as well as IPR on innovative spectral- and texture-based measurement principles for mobile electronic devices.

AI-Based Mobile Sensor Technology for Food - Food and Beverage - Food

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