Camo Machine Vision in the food industry
Camo Machine Vision uses advanced sensors with scientific analysis for the highest level of precision in quality control. Product properties, such as physical properties from color down to particle size, sensory properties, chemical composition and ingredient distribution are all tested against their intended design – and documented for every product. For example, our solution can differentiate between protein types such as meat or cartilage and detect if bacterial or foreign material is present early in food processing. This small video is from our lab at the Oslo Science Park showing a pilot installation with a hyperspectral camera. https://www.camo.com/cmv/
Видео Camo Machine Vision in the food industry канала Camo Analytics (Acquired by Aspen Technology)
Видео Camo Machine Vision in the food industry канала Camo Analytics (Acquired by Aspen Technology)
Показать
Комментарии отсутствуют
Информация о видео
7 сентября 2020 г. 18:21:23
00:00:18
Другие видео канала
PAT solution webinar: Better reaction monitoringData handlingImprove Product Quality and Time to Market by Optimizing Time-Dependent Process ModelingProcess Pulse: Model uploadClosing The Gap Between R&D And Production With Real-Time Multivariate Process MonitoringIntroducing Unscrambler 11What's New in The Unscrambler X ver. 10.2Data Import and preparation for Python scriptingAdvanced PCAFarmers harvest dataPCA Basics August 2015Modeling time-dependent processes more accurately to improve quality and controlMultivariate data analysis of Sensory dataPreprocessing and transformsProcess Pulse overviewUnscrambler® X Process Pulse II Demo: Easy to use process monitoring softwareFlexibility without complexity: Using Python with UnscramblerInstalling Python packagesIntroducing Camo Machine VisionNew DoE module in The Unscrambler® X