Vision is an amazing thing. Powerful human eyes are connected to an equally powerful brain. And that connection is one of the biggest reasons why human vision is so complex. People often think about vision as something which happens in the eye.Source information is available by clicking on the link below: Why image recognition is about to transform business
But engineers have found a lot of reminders that human vision is about the brain as much as it is the eye. This means that trying to create a machine that can identify something by sight is as much of an artificial intelligence issue as it is a hardware engineering one. One certainly needs to create something to take in the visual information. But it’s just as important to find a way to process and think about that data once it’s entered into the system as a whole.
This has led to something known as deep learning and other machine learning techniques. These are often combined with publically accessible databases filled with tagged images. It’s the perfect way for machines to learn how to think about what their cameras are looking at. But this doesn’t change one notable issue. Image processing and any kind of machine learning will typically be very computationally intensive – http://slyce.it.
However, some of the most innovative minds in the industry are working on this problem. And one company in particular has made a name for itself as a leader in the field. Slyce is primarily concerned with working image recognition into a visual search engine framework. But in doing so they’ve found a great deal of success using a particularly innovative method. Slyce has been able to create a distributed method of image recognition.
Slyce realized that home computing devices seldom had the power to implement true image recognition on their own. So they created an elaborate infrastructure of powerful hardware and software within their company. They then created software that could run on fairly modest computers and phones that would connect them to Slyce’s more powerful machines. Read more here: Slyce – Visual Search, Image & Product Recognition
This essentially hands over the heavy lifting to Slyce’s supercomputers. A phone could, for example, take a picture. It would then hand that picture over to Slyce’s systems. Slyce’s computers would perform full image recognition and analysis on the image. The resulting information would be processed and sent back to the originating device. It’s a complex solution. But the end user will only see that their phone or laptop is taking a picture and returning search results.