Advances in embedded vision technology are driving the market forward. Smart cameras lead all sales of embedded vision systems, while processing capabilities continue to expand and increase the commercial viability of different embedded vision systems.
Artificial intelligence (AI) is making its way into vision systems in a wide range of applications and expanding upon the existing capabilities of vision. AI is set to transform the way we use vision systems, making them smarter and more productive than ever.
Today’s autonomous vehicles leverage complex networks of embedded sensing layers to provide critical navigation information. Multiple streams of data are collected, combined and analyzed for true autonomy.
From verifying inbound and outbound shipments to eliminating mis-ship fines, embedded vision is used in a number of ways in supply chain management.
Convolutional neural networks (CNN) are a type of machine learning often deployed alongside embedded vision systems, mainly used for pattern and image recognition applications.
Embedded vision systems give robots the intelligence and dexterity to pick fruits.