With the growth of interconnected devices and machines within the Industrial Internet of Things, it...
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New innovative technology is continuously enhancing day-to-day life. Whether it’s a virtual assistant AI like the Amazon Alexa helping you keep track of your busy schedule or automated alerts notifying you of pertinent information, this new technology makes life easier. The same can be said for the growing fields of computer vision and facial recognition, which offer new, nuanced solutions to commonplace problems. Below, we’ll break down the distinctions between these two phenomena, discuss the advantages they provide a modern factory environment and explore how you can leverage them to help your business.
Computer Vision
Computer vision is defined as “a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras, videos, and deep learning models, machines can accurately identify and classify objects - and then react to what they ‘see.’” This burgeoning field functions through complex image segmentation and repetition. By breaking the image down into parts, the program can better understand the picture as a whole and then classify it into an appropriate field. As the program breaks down and classifies more and more images, it’s understanding and ability to quickly identify images will improve. But what are the practical benefits of computer vision?
Advantages of Computer Vision
Manufacturing can be a rigorous and complex process where many things can go wrong. However, with computer vision, artificial intelligence can mitigate errors by identifying product defects not easily visible to the human eye, potentially saving your business from catastrophic failures. And that’s just one example of many. Here’s an infographic that breaks down the multitude of advantages computer vision can provide for a variety of businesses:
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Facial Recognition
A subset of computer vision, facial recognition features an advanced form of object detection. Adept facial recognition software can not only recognize a human face in an image but can also identify a specific individual. We see this technology utilized most commonly on our smartphones with Apple’s Face ID. However, facial recognition is becoming more prevalent in the factory environment. For example, security cameras with facial recognition technology can keep your employees safe from any outside malfeasance. Furthermore, this technology is pushing into other viable sectors such as home security systems, traffic cameras, and CCTV cameras for law enforcement. While personal privacy is certainly an ongoing issue with facial recognition technology, its goal is to make the world (and the work environment) a safer place to inhabit.
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