AIQI.
Artificial intelligence system for quality control in industry.
Applications
Visual inspection of complex products such as electrical cabinets, pipelines, tires, clothing, textiles, food.
Value
Automating visual quality control, saving time and costs, and reducing the amount of data needed to make machinery exercise a task.
Technology
Artificial Intelligence, Deep Learning, few-shot learning.
- Data Collection
- Time expenditure
- High costs
Problem
To learn how to perform a task to perfection, from optimizing power grids to the highest-precision quality control of industrial products, machines operated by artificial intelligence must first practice using huge amounts of data control data.
For many industries, it is difficult to collect and label massive amounts of data, either because they are missing or because the operation is so time-consuming and costly.
Solution
AIQI Artificial Intelligence for Quality Inspection is a new technology for the visual inspection of industrial products, which enables the system to learn to recognize defects and anomalies after practicing with little available data, thanks to few-shot learning and one-shot learning techniques developedin collaboration with the Politecnico di Milano.
S&H performed all product development, including the definition and ideation, hardware and software design, prototyping, production, and field testing.
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Collaborations
S&h has carried out projects in collaboration with leading universities and companies, including: CERN, University of Milan, Milan Polytechnic, BRIN and Studio Palmanova 28.
