Project Tag: pattern recognition

Multisensor system for measuring air pollutants

The project is focused on the development of an inexpensive and reliable gas analyzer designed to measure the concentration of air pollutants. The proposed solution allows long-term operation without need of calibration, high accuracy and insensitivity to influencing factors. The proposed system consists of a matrix of sensors, electronic measuring and controlling modules and pattern recognition algorithms, all appropriately selected for the application of the system. The proposed solution is universal. The analyzer can work as a mobile air pollution analyzer, but also in food freshness, quality, ripeness or shelf-life monitoring and to diagnose human diseases or to identify many different pathogenic microorganisms.