BioMech Eye by ~kirkh on deviantART
GetSmily is providing its partners with feedback about the real emotions of their customers while using online platforms such as websites or web applications. This wouldn’t be possible without the rise of computer vision technology that happened for the last few decades.
In order to give you a taste of the potential and the multiple applications computer vision technology has brought to the world, we have identified 5 main categories (non exhaustive):
Vision for the blinds
Vision is part of our daily life. We do not longer even “see” that we can see since most of us have an accurate vision. But what about the people with visual limitations? Computer vision technology can assist them in their daily lives. One great example of that is the new Orcam http://www.orcam.com/ product.
Let’s have a look !
Visual recognition and comprehension
One other challenge for the computer is to “understand” the images it sees in order to further adapt its actions . One famous example today is the Google car since it has to understand a lot of dimensions in order to operate without issue (interpret road signs, other elements occurring on the road, driving rules etc.)
This is when image recognition triggers augmented reality.
Another famous application of augmented reality is the Google Glass project.
This is the category of inventions that is related to GetSmily.
To get a basic understanding of this:
On a more entertaining mode, have a look at Ed Ulbrich video on how Benjamin Button got his face (aka “emotion capture”). This video goes in depth in the technological process and less in the conceptual explanation.
The computer vision helps in identifying the following items : gender, age of a person, attention span and of course emotions and micro-emotions.
Last but not least, medical imaging is a big leap in human science and knowledge. It helps doctors and scientists on a daily basis to better identify what the eye cannot : skin related problems, tumor detection, from a distance surgery assistance, audit assistance tools, education content, etc.
If you want to follow a complete course on the topic of Computer Vision, feel free to follow the course of James Hays of Brown University in Rhode Island. Go to http://cs.brown.edu/courses/cs143/
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