Computer vision is a field of artificial intelligence that enables computers to interpret and recognize the visual world. It deals with the way computer systems are able to gain data from digital images or videos. Using images from cameras and videos, deep learning models enable machines to accurately identify and classify the objects in a blink. This technology consists of image acquiring, screening, analyzing, identifying and extracting information. Computer vision, on the other hand, works with all types of visual input. It could be as one static image or a series of images in a video. The aim of computer vision is to provide expert-level accuracy in identifying objects or classifying them. Some of the amazing Computer Vision Applications are:
Computer vision applications
From driverless car testing – to convenience stores – to autonomously robots – to daily medical diagnostics – to monitor the health of crops and livestock, computer vision has evolved as one of the major technologies that are helping industries automate monitoring, and surveillance processes. As Computer Vision continues to mature, the applications of its technology seem almost never-ending.
Let’s take a look at some computer vision applications that have been the most impactful in recent years.
Computer vision is an emerging tool that could make a real difference in the automotive industry. Computer vision could also shape up automotive industry to a new by adding important safety features at your vehicles. Autonomous vehicles most commonly use computer vision to detect objects, streetlights, road lanes and pedestrians. The most leading car manufacturers in the world are using the tech to have cars automatically set speed limits and detect lanes.
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The use of computer vision in the retail sector has been one of the most important technological trends in recent years. Retail giants like Amazon has launched world’s most advanced shopping technology “Just Walk Out” for its consumers for automatic billing. However, unlike other physical shops, it doesn’t have any cashier or checkout stations.
Just Walk Out Technology automatically detects when products are taken from or returned to the shelves, and keeps track of them in a virtual cart. You can leave the store, with your goods.
All you have to an Amazon account, the free Amazon Go app, and a recent-generation iPhone or Android phone. You can find the Amazon Go app in the Apple App Store, Google Play, and Amazon Appstore.
To enter, you need to open up the Amazon Go app on your phone and scan your unique code. Cameras and sensors track the items removed from the shelves which are then added to the shopper’s virtual cart.
Once you’re done shopping, you’re on your way. No lines, no checkout. Once a customer walks out, their credit card will be charged for all the items they take with them.
Google Reverse Image Search
Another useful computer vision application is, Google, “Reverse Image Search” helps you to return similar images websites that use it. With the Reverse image search on Google, you can place a photo or a link to an image in the browser to perform a Google search in seconds! It includes locating the source information for an image, other sizes of the picture you searched with, finding higher resolution versions of images alongwith many other details.
To Google reverse image search on a PC:
• Open web browser
• Browse images.google.com.
• Click Search by image
• paste the URL of an image or upload file or Browse
• Click Search Google for image. You’ll see your results in a new tab.
Thanks to the power of computer vision, we’re in good hands for the future. The computer vision has become a fast-developing field and has gathered a lot of attentions from various sectors. Due to the advancements in new technologies, our lives are changing for better as we see it. Computer vision is fast advancing technology that plays an important part in AI. The main purpose of this branch of artificial intelligence is to teach machines to gather information from pixels. The aim of computer vision is to provide expert-level accuracy in identifying objects or classifying them. Computer vision is being used in more areas than you might expect.
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