Monday, 11. December 2023 / 16:00-17:00 CEST
on ZOOM
Explore the effectiveness of implementing
AI tools for fasteners’ quality control
Find out about the impact of neural network
training with insufficient samples
Learn about testing augmented reality as tool
to expand the defective image database for AI training
The KITT4SME Webinar “AI applied to quality control of fasteners – the Dimac experience, state of the art and perspectives for the future” delves into the efficient application of artificial intelligence (AI) tools in sorting machines for quality control of fasteners and small parts in large-series production.
While AI excels in selecting surface defects undetectable by traditional methods, its implementation poses challenges such as reliability, performance, productivity, and flexibility. Addressing these challenges includes managing the training of neural networks without adequate samples, impacting false rejection rates and selection rates.
The KITT4SME Dimac’s pilot focuses on testing augmented reality as a tool to expand the defective image database for AI training. The result broadens AI’s scope to previously deemed impossible contexts, approaching the performance of traditional computer vision algorithms.
This webinar is recommended for companies interested in AI-driven quality control, extending beyond the fasteners production sector. It is equally relevant for researchers and anyone intrigued by AI technology.
Don’t miss the opportunity to participate in it
Monday, 11. December 2023 / 16:00-17:00 CEST on ZOOM
