Study of a system of Continual Learning for the validation of a model of Anomaly Detection
The end of 2022 saw the completion of the first part of the project “Study of a system of Continual Learning for the validation of a model of Anomaly Detection”, which was done in collaboration with the Center on Artificial Intelligence (AIRI) and GO@AI UNIMORE of Modena Technopole.
The goal? To optimise the process of assessing Spal’s product compliance thanks to deep neural networks; vision systems based on verification Neural Networks, which are more efficient and technologically advanced than the ones employed before.
In September 2022, GO@AI installed the first prototype at SPAL’s Headquarters. For it to be fully implemented, it had to automatically register all the information necessary to improve the company’s production processes.
At the end of the last year, the project produced a prototype resistant to variability and able to detect defects and anomalies in the company’s production processes which would be otherwise difficult to identify.
To support the introduction of this artificial intelligence model, Spal will provide specific training to its employees, in order to upskill production line operators, who need to be more and more competent and specialised.
This will be key to guarantee the acquisition of new skills and to reach continuous improvement, giving more value to the people and the central role they play in the production processes.
For this important project, SPAL Automotive will partner with Professor Rita Cucchiara’s team, composed of Matteo Fabbri Ph.D, Prof. Simone Calderara and Engr. Riccardo Gasparini, who will work with our Process Engineering team, led by Engr. Alberto Ballabeni.
The project will be carried out by SPAL Automotive’s engineers, among them Engr. Gianluca Maugeri and Lorenzo Moriello Ph.D., coordinated by Eng. Gabriele Santelli
This is only the first of a series of projects based on artificial intelligence that will create new applications and growth opportunities.
As such, SPAL is glad to continue this journey with the collaboration of the Center on Artificial Intelligence (AIRI) and GO@AI UNIMORE of Modena Technopole.