Image Recognition Technology

Image Recognition Technolgy in real life

The amount of information on the internet is so huge. For companies, this huge amount of information is both challenge and opportunity to manage effectively market themselves, protect their image and utilize them in the era of flooding information. Image recognition tools are an important key to the potential of huge information.

What is the image recognition technology?

It is simply that the computer uses your eyes as its own “eyes”.  Image recognition is the software ability that processes all pixels that makeup images. So, the network provides a vast number of images to the computer, and computers are able to learn and recognize objects. In this process, the software for image recognition has to be required deep machine learning.

For instance, computers would be shown millions of images of apples. And then, the computers learn what images of apples are, and how looks like an image of an apple. If computers see the image of the banana, they would compare all the pixels of the image of the banana to the image of an apple. And then, if the computer cannot find a similar pixel of the image or the image does not match nearly, the computer would recognize the object as the banana.

Why do we should use image recognition?

Image recognition tools can be used in various businesses. By using image recognition tools, companies can know the interest of customers. Using this data, a brand can do targeted marketing for specific customers. For example, Social networking service provides personal preference advertisement to the people. For the people who love shoes, SNS provides advertisement related to the image of shoes.

In the business industry, many image recognition tools are being used.

• Price comparison: People can take a photo of the product that they are interested in buying, and then they can find the near store to buy it by using the application like Google Shopper.

• Driverless car: Using the vehicle’s visual system and image recognition, driverless car identifies pedestrians, road sign, map, and movement of other vehicles.

• Image search: When people present Google with an image or URL, the Google search engine will show you the web site containing the image or same image that people presented.

The most innovative technology that used image recognition tool in daliy life is Driverless car industry

Drivers with the human can identify pedestrians, road sign or other vehicles very easily. However, it is not easy for the driverless car to do it. So, what are some of the ways that driverless car can identify and recognize the object? They are Edge detection and Image Classification.

• Edge detection

The most fundamental technique for image recognition is called Edge detection. The basic idea of this technique is that pixel related to individual objects will be similar, but the pixel that related to different objects will be different. Driverless car technology can use this technique to figure out the outline of the car and to track the movement of other cars

• Image classification

Image classification includes more advanced image recognition algorithms. This algorithm can be used in looking for what street sign it is, general shape, colors, and size of the sign. The common implementation of this technique is a neural network. For example, the computer might ask that “Is there a large red color in the image?” to itself, and then it might ask again like “Is it shape as an octagon or another shape?”. And then it might ask like “Does large red image and octagon object mean STOP?”. In this process, algorithm concludes that that object is the STOP sign

Tesla is the company that utilizes image recognition to revolutionize self-driving. It is called Autopilot technique.

Image recognition is available to all businesses without limitation in market size, or product. Image recognition can save your time and money. It can classify countless images and return the data that you really need. Image recognition is the key technology for solving complicated information in the real world.


Question

1. Have you ever experienced image recognition technology in your daily life? Explain your experience

2. Do you have complete confidence in Driverless car system? Explain the reason for your answer

3.  Do you have another innovative idea about image recognition technology? Please share your idea :)