Embedded Image Capture System for Liquid Monitoring in the Smart Chemical Industry
Résumé
This paper proposes a contribution aiming to improve the captured image exploitability in a visual supervision system dedicated to the Smart Chemical Industry. For that we perform a study of the color light effects on captured images. One visual sensor node, based on Raspberry Pi and a camera, is designed to conduct experiments. In addition, a laboratory glass container including liquids is developed and used as an emulator of the real system.
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