Fundamentals

As facial recognition, surveillance and smart vehicles become an accepted part of our daily lives, product and chip designers are coming to grips with the business need to secure the data that passes through their systems. Training data, the resulting […]

Given the growing utility of computer vision applications, how do we deploy these services in high-traffic production environments? Here we present GumGum’s approach to the infrastructure for serving computer vision models in the cloud. We elaborate on a few aspects. […]

There’s a huge wealth of open-source software components available today for embedding vision on the latest SoCs from suppliers such as NXP, Broadcom, TI and NVIDIA, at lower power and cost points than ever before. Testing vision algorithms is the […]

Recently, deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition and natural language processing. We will present our deep learning activities for machine vision applications […]

The performance of your embedded vision product is inexorably linked to the imager and lens it uses. Selecting these critical components is sometimes overwhelming due to the breadth of imager metrics to consider and their interactions with lens characteristics. In […]

This talk provides an introduction to optics for embedded vision system and algorithm developers. We begin by presenting fundamental imaging lens specifications and quality metrics such as MTF. We’ll explain key parameters and concepts for specifying off-the-shelf or custom optics. […]