Download a copy of our white paper, exploring how new embedded solutions are simplifying the design of smart sensors and AI solutions for Industry 4.0 and Internet of Things applications.

AI and machine learning promise to bring new cost and process benefits into inspection systems. Our latest whitepaper explores how smart sensor and imaging devices help overcome bandwidth and networking challenges while providing a first step towards integrating AI in automation systems. 

How AI and machine learning fit into automated inspection systems

What bandwidth and networking challenges do you need to consider

How do smart devices and edge processing fit into AI and machine learning 

Industry 4.0 and Internet of Things are one in the same, a term used to describe a variety of physical devices and objects that are interconnected and communicate with each other.

A smart device is connected to other devices via a network. Adding edge processing to a smart device enables decision making at the sensor level for faster more efficient analysis.

Is an application of artificial intelligence where the machine is learning tasks without rule-based instruction, rather it learns by study of algorithm and pattern recognition.  

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