Add I've written at length about the Internet of Recognition™, but today I'd like to explore the Hidden Side of Image Recognition; the things we cannot see with our eyes, but which can be transformed into precision analytics with the help of cameras.
Whenever we slow down or speed up time, we gain very useful perspectives that are generally hidden from us. From time-lapse to slow-motion, imagery analytics are accentuated when we pull ourselves out of our commonly viewed "real-time".
But there's a new crop of real-time imagery that is so precise, it can measure subtle changes in objects and people. This has led to an entirely new realm of analytics known simply as observational informatics.
Practical Use Cases
With our eyes we cannot typically observe that a bridge is under stress. But if you point a precision camera at the bridge, you can visualize the stress it is enduring by measuring subtle movements in pixels. You can even calculate the loads on the structure and predict when it may fail.
The health industry has been researching observational informatics for decades. However, the abundance of low-cost, high-definition cameras and performance characteristics that effortlessly achieve fast comparisons and complex computations, has transformed this pathway into practical solutions that that are exploding with opportunities to improve health care.
It's now possible to measure a newborn infant's heart-rate by simply pointing a video camera at her face. This is achieved by simply exaggerating motion to be able to calculate minute changes in pixels shapes and color.
Transformation in Real-Time
In the class of creepy-scary is the ability of our system to take a photo of your face as you stand in front of a mall kiosk searching for running shoes. Silently, behind the display panel, we have morphed the image of your face to resemble someone like you and then serve back to you an advertisement for Footlocker with a person running in the ad with your facial similarities.
Why do this? Because you trust you more than anyone else. The research is clear - you will be many times more likely to purchase from someone who resembles you than an arbitrary person.
This is the hidden side of image recognition.
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