MAISOR: Implementation and demonstration of a microelectronics chip for Edge-AI computing into a high-resolution vapor sensor for olive oil classification
In the MAISOR project, the consortium will develop a new concept of a volatile analysis sensor based on a very innovative analytical instrument supported by Edge-AI implemented in a microelectronics system.
The increasing global demand for extra virgin olive oil (AOVE) has generated the development of some fraudulent practices with a direct impact on its nutritional performance. The detection and identification of adulterated or fake olive oil is not an easy task and the traditional analytical methods have important limitations in terms of sensitivity, accuracy, affordability, and speed, making them susceptible to manipulation and allowing fraudulent practices to go undetected, so it is essential to develop new solutions to tackle the problem.
The aim of the MAISOR project is the development and validation of a new concept of analytical instrumentation based on MION’s technology and supported by EZAKO AI-based software routines with the aim of providing high-resolution classification techniques implemented in cutting-edge microelectronic devices with the capacity of providing quick, affordable, accurate and automatic results.
The specific objectives of the project are:
- Development and adaptation of MION’s technology to an affordable Olive Oil Analyzer
- Development of high-performance AI classification algorithms embedded in a microelectronics chip
- Optimal integration of MION’s technology with the classification algorithm
- NValidation of the MAISOR prototype with real Olive Oil samples
This project is being monitored by Pole SCS
“Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.”