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Integration of image analysis and artificial intelligence in alcohol measuring systems

Reference number
Coordinator HÖK INSTRUMENT AKTIEBOLAG - Hök Instrument AB
Funding from Vinnova SEK 300 417
Project duration November 2016 - February 2017
Status Completed
Venture The strategic innovation programme Electronic Components and Systems:

Purpose and goal

The project aimed at demonstrating the feasibility of advanced image analysis and artificial intelligence in connection with breath alcohol screening. It was found that the technology with an additional R&D effort will reach the necessary level of maturity to become useful in products and services for this application. Cooperation with research groups at Mälardalen University and Uppsala University has been established to enable further progress in the area.

Expected results and effects

A result from the feasibility study is that the technology for advanced image analysis and artificial intelligence has reached a level of maturity to make it useful in systems for breath alcohol screening, provided that an additional R&D effort is directed towards this application area. Potentially there are considerable benefits for society in terms of reduced damages caused by alcohol misuse. Expansion of already existing products, services and businesses as well as strengthening of already established research areas can be foreseen.

Planned approach and implementation

The project was divided into the following work packages: WP1 Basic analysis and risk management WP2 Technological challenges WP3 Strategies and target descriptions in short and long term perspectives WP4 Technical solution principles, R&I project outline WP5 Issues of integrity, intellectual property. The plan was implemented and the addressed issues were mainly answered in a constructive manner. The prospects of a successful R&I project within the program Smarter Electronic Systems are deemed to be good.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 25 November 2019

Reference number 2016-03897

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