Embedded computing kit for AI uses sparse modelling

Embedded computing kit for AI uses sparse modelling

New Products |
By eeNews Europe

Sparse modelling needs little training data to make highly accurate predictions. This is an advantage for vision-based inspection systems, among others, because the reject rate is naturally lower when manufacturing quality is high. With sparse modelling it is possible to create a new inspection model starting with 50 or even fewer images. This is significantly less than the thousands of images required for traditional AI. The Available from Hacarus, the Sparse Modelling Kit can be used stand-alone or as an add-on to existing inspection systems. Primary customers are vision system providers and system integrators. Another group of users includes machine and system builders who want to use vision-based AI in their devices but have been reluctant to do so up to now, because the wide variety of individual customer installations requires algorithms to be adapted, which was previously too costly.
Based on congatec hardware and Hacarus software, the new starter kit can be instantly deployed and tested in any GigE and USB 3.x environment. Designed on the basis of palm sized Computer-on-Modules built around the latest Intel Atom and Celeron processors , the system measures only 173x88x21.7mm.
Congatec –

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