Technology Brief: Deep Learning

Deep learning and its role in machine vision

Is your application best served by deep learning or traditional machine vision?
We have you covered as we propose solutions using either or both. Our specialists can help assess your application and identify the best tools for your situation.
Real-world examples

Identification

Defect detection
Image segmentation using deep learning categorizes image neighborhoods to pinpoint features like defects, such as dents and scratches on sheet metal. The located features can then be further analyzed and measured using traditional machine vision tools.
Deep learning software and hardware

We also offer hardware products that facilitate deep learning training and deployment. A suitably equipped and configured model of the Zebra 4Sight XV6 industrial computer comes ready for deep learning training. Another Zebra 4Sight XV6 model as well as the Zebra 4Sight EV7 vision controller and Zebra Iris GTX smart cameras are available to run both traditional machine vision workloads as well as deep learning inference.
Videos
Like the technology itself, our deep learning offering is ever expanding.