How can Google Lens Build Visual Search?

Can Visual search really change the way we search?

Visual Search

     There are many organizations working on the technology that can be able to understand what we are looking at. Google is one of the top competitors in the research. The technology may be open doors to a new way to look at things. For example, We can upload a hotel image to your smartphone to get the details about menu, facility and quality of the hotel.

     Right now we are getting information through text/voice search. As the technology grows up visual and voice input will dominate the text search because of the less effort. We have voice search which became popular in Apple, Google and Jio devices. Google assistant, Siri and Jio assistant performing outstanding with humans.

     Organizations are trying to establish their technologies that can converse naturally with humans. Now they are understanding human voice really well. Machines need more data for more understanding. They use Machine learning for it. More conversation with humans makes the machine more efficient.

How Visual Search Works

     Machine learning needs efficient and quality data with the defined algorithms. Algorithms are the code that defines the procedure that machine has to follow. Using these algorithms Machines follow the procedure and gives an output that found in the data dump. Big data acts like knowledge here.

     Just like Radar finds the radio waves, when we upload an image to a visual search engine it finds the closest related image in the data. It looks the matrices in a uploaded image and compares it with every image that it contains. It reflects the most matched content. The aim is to find out the similar image and websites with the images.

     Imagine that we are putting an image in an x-y graph and pixel of the image as units of the graph. Now we have vector product for each pixel. Now it compares the vector product of the uploaded image and photos in the engine pool. It comes with the most suitable image. This is the just simple algorithm. But in coding, it is too complex scenarios.

What we can Expect

     It will change the basic search mode. Now people are searching using text and voice. Visual search adds up to it. This can add as an extension to google earth to make it more efficient and user-friendly.

     There are many changes significantly in many industries. Microsoft recently developed a technology with IOT and ML which helps to detect something wrong happening inside the office. For example, The technology notifies cleaner if oil spills out in the room.

     Now camera can understand the objects that they are looking at. It can improve further for security purposes. Camera's with machine learning has huge significance in home automation where it can be applied to detect the new person entering the home, abnormalities inside the house etc.

     It plays a significant role in driverless cars, to find what's happening around the car, where to stop and where to start etc.

     Google especially working on VPU visual positioning system which helps to locate objects inside a malls, stores and other big buildings.