A field of artificial intelligence, computer vision technology teaches computers what to do with the information it gains and how to comprehend it. Advances in computer vision technology allow turning images databases into learning algorithms so that computers can interpret these images over the course of many trials.
Computer vision can assist humans to do jobs better, whether that’s surgery or security; also process thousands of images at once, providing rich metadata and insights about collections of images as a whole. Finally, it never gets tired or irritated, opening up a host of applications to observe, secure, and elicit real-time data about the external world.
Recently, businesses have been leveraging this technology for their business cases. The potential of computer vision applications is changing everything from our doctor’s visits to the way we do shopping. Let’s have a look at the top 5 computer vision applications below:
Computer vision apps have revolutionized advertising by personalizing messages based on their consumer behavior. GumGum displays advertisements over images, by contextually identifying what is in the image and displaying relevant ads on the image itself. This gives advertisers data about how their ads are performing with audiences, including how long people look at the advertisement and how they react to the content.
In the face of rising pressure from e-commerce, the brick-and-mortar retail industry has stepped up to enhance the in-person shopping experience. eBay announced new AI-based computer vision search tools that allow finding items by using photos.
Computer vision is currently being deployed against microscopy, X-ray, angiography, ultrasound, and tomography images to reduce white noise and help doctors pinpoint potential problems. InnerEye initiative is presently working on image diagnostic tools that will definitely help make decisions.
Self-driving cars are among the hottest developing technologies in the world and for good reason. Computer vision apps can greatly reduce vehicle crashes, injuries, and fatalities. Most new cars currently implement computer vision for lane keeping and obstacle detection. In the future,computer vision will play an essential role in fully autonomous driving.
2. Biometrics is the process of using biological markers to confirm identity. Perhaps the most common example of a biometric device is the fingerprint scanner in your smartphone. It grants access to your information based on your biology. HSBC and Schwab, are pioneering voice access for account information over the phone. As these technologies continue to develop, expect biometrics to play a growing role in everyday identity verification.
AI-powered computer vision apps are increasingly growing and changing the way we live. Businesses should focus on implementing such digital solutions into their processes to engage more customers and increase return on investment. We, at Provision Lab, have a vast experience in developing computer vision apps and are ready to help you.