Cool Image Recognition from Survival to State of the Art Marketing

Image recognition is fundamental to the survival of many species including eagles, flies and people. Image recognition involves the ability of the brain and receptor organs to take a potentially fuzzy array of indistinct shapes and to develop a focused clear sharp image, which provides useful details about the object in the image. As the earliest cave paintings show, being able to capture and manipulate the image of something gives one the power to change events and achieve better hunting success.

In the modern world we no longer need images of mammoths and bison for our food supply. We need images of products to buy. Neiman Marcus is an example of the modern environment in which we must locate and identify objects that we desire from their images.

There is innovative technology that is a game changer. An app is placed on a mobile device by a consumer or retailer. If the consumer takes a picture of an object, such as a great looking piece of clothing, shoes, or headwear, then the app searchers for a retailer or searches a retailer’s catalogue for an exact match or at least a close match. The matching image is shown to the consumer who can then use the app to walk through the process of deciding to buy and purchase. The use of the app makes shopping easier and more accurate for the consumer and for the vendor.

A great example of cool modern image recognition technology is the collaboration of Neiman Marcus and Slyce. Slyce is a sophisticated image recognition technology that has many applications. The collaboration with Neiman Marcus is a great marketing strategy. For example, you can capture or search an image of shoes or dresses that you want, and the Slyce technology helps you find it. This makes your shopping experience a pleasure.

This impressive technology has many applications including facial recognition as well as medical and scientific applications. The beauty of this system is that, in a series of steps, each image is parsed and sharpened into a recognizable image. This permits broad flexibility in how images can be morphed, developed and matched to existing data bases. In the evolution of image recognition technology, Slyce’s technology is an important advance.

Image recognition will play an important role in future technologies. It could be a great aid to people with disabilities like blindness. The future of image recognition is amazing. Just as it helped us survive and evolve, it is critical for our future evolution. The future for companies like Slyce and the technology of optical recognition is impressive. Image recognition is a key that unlocks the door to the future of technology.

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