Objectives:
elaborating techniques that will improve and increase safety in insuring food quality on the entire food chain: staples, final product.
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DESCRIPTION | The project SISAL wants to realize an intelligent system for detecting the quality of food using innovative techniques based on chemical sensors in order to improve quality and to insure the safety of food and to keep the integrity of the food chain. The proposed technique stays in sampling and analyzing “the olfactory mark” that each biological sample has, and establishing its characteristics based on some correlations previously determined. A complex signal is being recorded, made out of the linear combination between the individual signals of all components on a great number of detectors, simultaneously. This way, the sensors system, which is previously trained to recognize smells, detects a certain “olfactory mark”, memorizes it, compares it with those in its own memory and classifies it. This is the way we can determine very quickly, in real time, the nature and the origin of a product that could be associated to a certain level of quality by properly involving a neural network. |
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