VOLANSYS
109 Case Studies
A VOLANSYS Case Study
A leading US-based semiconductor manufacturer needed a technology partner to prove the application of its new chipsets for machine learning at the edge. The client engaged VOLANSYS to demonstrate the capabilities of their upcoming hardware launch.
VOLANSYS developed a handwritten digit recognition solution using a Convolutional Neural Network (CNN). They designed a Caffe model with an AlexNet architecture, trained it, and converted it for deployment on an NXP i.MXRT1062 microcontroller. This hands-on expertise in machine learning accelerated the client’s product launch timeline by an estimated 30%.
Leading US-Based Semiconductor Manufacturer