Embedded Learning and Machine Vision

Pleora CTO Jonathan Hou was a recent guest of Quality Magazine as part of their webinar series on future advancements in the vision industry.

Perhaps one of the largest influencers on the future of machine vision is machine learning, the branch of artificial intelligence that is concentrating and developing the idea that a complex system–like that of machine vision–can learn from the data it collects and analyzes and make decisions with little to no human interaction.

In the webinar – Machine Vision Trends: Embedded Machine Learning – Jonathan discusses the trend toward embedded machine learning in machine vision systems, in particular its impact on vision software choices. He also looks at how machine learning could help usher in a new era of cloud-based “inspection as a service” opportunities, as well as hardware and software implications that designers and integrators should consider for vision systems that interact with artificial intelligence and machine learning.