Computer Vision Is Opening the AI Doors for Advertising and Marketing Professionals.
Reading a facial expression.
Recognizing a person.
Identifying the make and model of a car.
Pinpointing a person’s level of interest based on their body language.
Computer vision is making online tasks possible offline.
Marketers have long had access to detailed analytics (i.e. clickthroughs, conversions, demographics) regarding their websites and online advertising that help guide their marketing decisions. Now, computer vision is opening up those kinds of detailed analytics to offline pursuits as well.
Consider, for example, how a sign’s messaging could be tweaked to improve its performance based on how many people came within a certain distance of the sign, how many people lingered by the sign and for how long, and even what their facial expressions were as they read the sign. That might soon be possible with projects like Blimp that can use publicly available data (such as data from nearby closed-circuit cameras) to evaluate passersby’s responses to things like billboards.
These analyses come naturally to humans but now, new technology is making them possible for computers, too. Its called computer vision, the ability of a machine to conduct sophisticated analyses of images both real and virtual is more than just sci-fi cool. It has real, and immediate, applications for anyone involved in advertising and marketing.
Computer vision is making retail more data-oriented.
Even retail might be able to get in on the computer vision action, and none too soon in the light of e-commerce’s runaway success over brick and mortar stores.
Turning these stores’ cameras and sensors into sophisticated AI machines can give stores the ability to track the walking patterns and gaze patterns of customers, track demographics, and compare customer interest and demographics to location, time of day, and season.
What does that mean for marketers? How about a food brand that could use that data to direct you to the aisle where the product is found, then when you get there suggest a few recipes and where to find those key ingredients, with out the guessing game.
What does that mean for retail? The ability to adjust and test displays, sales, and even the specific products sold in order to maximize sales.
What can it do for E commerce sites? Certain ecommerce sites use computer vision for predictive analytics efforts to forecast what customers will want next. Not only could Computer Vision revolutionize the consumer experience with useful and practical advantages but also it could be a huge factor Fortune 500 companies as well.. It has the ability to digest data and create a “predictive toolset” when it comes time to determinnig what upcoming trends are happening and is able to analyze images and even frames in video that you can extract in seconds rather than hours takes researching to the next level.
Computer vision is finessing online advertisements.
Facial recognition technology, such as that used on mobile devices or computers to log users into their personal devices, is a form of computer vision. As this skill advances, devices are becoming increasingly capable of understanding a wide variety of images, and responding to what they see.
For example, computer vision may be able to target online advertisements more precisely than ever before.
Imagine related ads popping up inside images you are viewing online, or apps providing personalized product information based on your body features, such as is possible with Neutrogena and Fitskin’s Skin360 app.
Computer vision holds a great deal of promise for social and brands.
Related technology developed by GumGum can even search for particular images across social media and the Internet in order to determine the advertising ROI for these images, while other technology can evaluate demographics, time of day, and other factors in order to deliver the version of an advertisement to an online user most likely to succeed with that particular user. Computer vision holds a great deal of promise for advertising and marketing.
APPLE AR is drivne by Computer Vision Technology
The Depts of Apple‘s ARkit, AR Glasses, will be made possible by the power of CPU vision technologists.
The technology in the Computer Vision Technology dept is 2nd to none and the road to 2 Trillion for Apple will be funded by it, some analyst say here “We expect Apple will redefine the UIs of existing products by offering an AR experience created by the AR glass, which will likely be launched in 2020, said by Ming Chi Kuo
CPU Vision gives computers a picture of our world.
CPU Vision It enables marketers to gather better data, makes wiser marketing decisions, and create a more targeted approach for their campaigns. From empowering the top company on the planet, helping offline businesses and advertising to improving the accuracy of online ads Computer Vision is really quite involved in many facets of the industry. We just don’t realize it yet.