In this tutorial, we present a guide to the multidisciplinary science of building the eyes of a vision system. CMOS image sensors have been instrumental in lowering the barrier for embedding vision into systems. Their high degree of integration allows […]
Data augmentation is a set of techniques that expand the diversity of data available for training machine learning models by generating new data from existing data. This talk will introduce different types of data augmentation techniques as well as their […]
Numerous video analytics applications require understanding how people are moving through a space, including the ability to recognize when the same person has moved outside of the camera’s view and then back into the camera’s view, or when a person […]
A common pain point when using machine learning for computer vision is the need to manually curate and label large quantities of training images. Depending on the application, thousands to millions of images are needed in order to capture the […]
Computer vision requires vision. This is why companies that use computer vision often decide they need to create a custom camera module (and perhaps other custom sensors) that meets the specific needs of their unique application. This presentation will help […]
