Sparse modelling-based embedded AI computing kit

02 December 2019

The world's first embedded computing kit for Artificial Intelligence (AI) which uses Sparse Modeling technology has been introduced by Congatec and Hacarus.

Sparse Modeling is a data modeling approach that focuses on identifying unique characteristics. Simply put, Sparse Modeling interprets data similar to the human brain, instead of analysing every single hair and every millimeter of a person.

Sparse Modeling needs little training data to make highly accurate predictions ¬ – a benefit for vision-based inspection systems – because the reject rate is naturally lower when manufacturing quality is high. With Sparse Modeling it is possible to create a new inspection model starting with 50 or even fewer images – significantly less than the 1,000 or more images required for traditional AI. 

The Sparse Modeling Kit, available from Hacarus, can be used stand-alone or as an add-on to existing inspection systems. "With Sparse Modeling, developers are able to build next-generation inspection systems that can be trained for individual requirements and can therefore function anywhere. There is no longer a need for optimal conditions, such as constant lighting. OEMs also gain greater flexibility to adapt to changing production processes, which is essential for the move to industrial IoT/Industry 4.0 controlled batch size production," said Christian Eder, director of marketing at congatec.

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