Advances in Visual Recognition

Continuing from last time, we introduce major trends from Dentsu Inc. Aegis Network Carat's "TOP 10 TRENDS" for 2016.

Technological advances mean people and objects are increasingly recognized accurately by devices.

Many future technologies, such as autonomous driving, rely heavily on visual recognition. Just as voice recognition technology has made dramatic strides in practicality over recent years, visual recognition technology is also evolving rapidly.

Google's technology can not only identify people in photos but also recognize finer details. It can even respond to requests like "Find me sitting in the boat."

Pinterest has added a new feature allowing users to search for "visually similar items" through images. The AR (augmented reality) app Blippar can now recognize not just logos, but the actual products of a brand (and even the breeds of dogs or types of fruit).

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As visual recognition technology advances, the "look"—visual appeal—from logos to product design becomes increasingly important. This is particularly crucial to consider in new product development.