Machine Learning Has Vision

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By Liz Young, Marketing Coordinator 

Everyone is talking about machine learning; the benefits it has, the edge it give companies above the competition, the seemingly limitless capabilities the technology promises.  It’s all so easy to get lost in all the excitement, and let’s be honest, some of the use cases for implementing machine learning seem like something straight from Star Trek.   

But, the truth is, we are not that far off from a Star Trek-esque existence.  I mean, we already have tablets, big screen TVs, cell phones, and replicators, so is it such a stretch to believe we can use computers to automate learned tasks?   

Take, for example, IBM’s PowerAI Vision software.  PowerAI Vision abstracts machine learning and makes it incredibly easy.  The software utilizes image recognition to make it easy for enterprises to implement computer vision, as they introduce AI into infrastructures.  Image recognition includes analyzing and classifying of pixels.  The more exposure to the certain images, the stronger the model becomes.  

How is PowerAI Vision Used Today? 

Safety 

AI technologies can be implemented to monitor and enforce regulations for safety. Embedded computer vision applications can flag workers while entering hazardous environments, or scan a construction area, to alert supervisors to act on a variety of scenarios. 

Quality Control 

Manufacturers and retailers are using AI technology to check quality control of goods to ensure they align with their standards and expectations.  The software can search for flaws and inconsistencies of products on conveyor belts, and note when they don’t meet requirements. 

Enforcement 

PowerAI Vision can be tapped for regulatory and law enforcement applications.  The software can recognize license plates, search for oversized or unsafe vehicles, and even note road conditions, reporting findings back to law enforcement or traffic agencies.   

With this type of machine learning, organizations can label, train, monitor and deploy to streamline processes, train models to classify images and detect objects, introduce auto labeling with deep learning models, and employ video analytics for training and inference.  Imagine what this kind of capability can do for your organization! 

 

Liz Young writes and designs content for the Evolving Solutions blog, LinkedIn page, Twitter feed, Facebook page and Instagram account.  

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