By 2027, ABI Research forecasts the installed base of Artificial Intelligence (AI)-enabled cameras to be 976.4 million, signaling a growing need for machine vision technologies. Today’s companies offering machine vision solutions are vital to the betterment of a number of applications, encompassing manufacturing, smart cities, building development, public safety, logistics, and transportation. An abundance of modern Machine Learning (ML)-based software products are embedded with edge ML capabilities that vastly improve a wide range of use cases, notably image-based inspection. This means a robotic system with an installed camera stacks pallets correctly or a flaw on a product's surface can be detected. To give you a better idea of how these systems work and who is providing them, this post highlights eight machine vision software companies that are helping enterprise customers work more efficiently.

Machine Learning (ML) is increasingly being integrated into edge computing solutions. ML at the edge improves the user experience via latency reduction, near-real-time data analysis, privacy, and security. Vendors are stepping up to the plate to provide services and platforms that streamline processes and reduce the time to market. In this post, you'll read about five examples of edge ML to better conceptualize this helpful combination.

According to ABI Research forecasts, the total installed base of devices with Artificial Intelligence will grow from 2.7 billion in 2019 to 4.5 billion in 2024. Billions of petabytes of data flow through AI devices every day. However, right now, most of these AI devices are working independently of one another. Yet, as the volume of data flowing through these devices increases in the coming years, technology companies and implementers will take advantage of multimodal learning – and it is fast becoming one of the most exciting and potentially transformative fields of AI.

This is part 3 of a series of blogs covering the NVIDIA GTC '22 event. You can read part 1 here and part 2 here. 

This is part 2 of a series of blogs covering the NVIDIA GTC '22 event. You can read part 1 here and part 3 here. 

This is part 1 of a series of blogs covering the NVIDIA GTC '22 event. You can read part 2 here and part 3 here.