Redefining Simple: Five Capabilities That Differentiate Truly Accessible AI Vision Platforms
The five differentiators highlighted in this report represent key capabilities that distinguish truly accessible AI vision platforms from conventional approaches. Each differentiator addresses fundamental bottlenecks in the deployment process and indicates how AI vision technology continues to evolve into an increasingly practical, powerful driver for industrial automation. Continue below.
Redefining Simple: Five Capabilities That Differentiate Truly Accessible AI Vision Platforms
Machine vision end users are increasingly familiar with claims that artificial intelligence (AI) can more accurately detect variable defects, reduce false-positive rates, and enable sophisticated pattern recognition compared to traditional rule-based systems. The benefits of AI, and its machine learning and deep learning subsets, have become so well-traveled that the narrative has begun to shift to how easily AI solutions can be implemented.
But what does “easy” actually mean in the context of machine vision deployment? How do we define and quantify this quality? More importantly, what are the specific capabilities that simplify deployment and usability?