Ezra Berger

This blog post provides an overview of computer vision technology, explaining its relationship to artificial intelligence, machine learning, and deep learning. It also discusses the basics of how computer vision works, its applications in various industries, and common technologies used in its development.

When sourcing a computer vision (CV) solution, there are several factors to consider, such as whether to build or buy, the cost and value, and the level of customization required. There are different types of vendors available, including data providers, engineering services, vertical solutions, and platform providers, each offering different capabilities in developing and implementing CV solutions. The choice of vendor will depend on factors such as the availability of in-house resources, the need for data, and the level of customization required.

This article discusses the various ways in which computer vision technology is transforming the e-commerce industry, including visual search, product recommendations, automated customer service, augmented reality, and warehouse automation. It also explores potential future use cases for computer vision in retail.