We will talk about the top 3 image recognition key technology in detail. So we will be able to understand how image recognition works.
What Is Image Recognition Key Technology?
Image recognition is a technology that uses a computer or a smartphone to identify the subject of an image. Such as a photograph or a video.
In other words, it can be said that image recognition is a technology. So that allows a computer or a smartphone to recognize what is shown in an image.
Image recognition technology uses deep learning and neural network technology.
A neural network is a computing system modeled after the human brain and nervous system. It can learn from the information it receives and applies appropriate algorithms based on the data it has learned.
Deep learning refers to artificial intelligence technology. It uses neural networks to simulate the human brain.
In other words, neural networks are used for machine learning, which allows computers to learn from data and recognize images.
However, it is important to note that image recognition technology using neural networks will not be able to recognize all images. There will be some images that will not be recognized by computers through deep learning and neural networks.
Top 3 Image Recognition Key Technology ItemLevelIt is important to note that there are 3 key technologies in image recognition:
Key 1: Image Segmentation Technology
Image segmentation is one of the most basic image recognition next-generation technologies. With image segmentation technology, computers can recognize objects in an image based on their color, shape, and texture details.
For example, if we want our smartphone to recognize whether or not our pet dog is in the photo we took. We can use image segmentation technology.
So that our smartphone can know where our pet dog is in the picture. So it can tell us whether or not our pet dog is in this photo we took with our smartphone camera.
Key 2: Object Recognition Technology
Object recognition refers to recognizing objects such as people, animals, and plants in an image with high accuracy.
For example, if we want our smartphone to recognize whether or not there is someone inside an image we took. We can use object recognition technology.
So that our smartphone can tell us whether or not there is someone inside this photo we took with our smartphone camera.
Key 3: Face Recognition Technology
Face recognition refers to recognizing faces in an image with high accuracy by comparing faces with reference photos on file.
The Advantages Of Using This Technology
This technology is very useful. Because it can be used in various areas. Some of the advantages of using image recognition technology are:
1. Image recognition technology is very useful for identifying pictures of important people in many fields.
2. This technology will also be very useful for finding lost pets or missing people.
3. Image recognition technology will also be very useful for identifying the owner of a car after an accident.
4. Image recognition technology will also be very useful for identifying products in stores before buying them.
5. Image recognition technology will also be very useful for identifying paintings when visiting art galleries or museums abroad.
6. This technology will also be very useful for identifying plants in gardens and parks before planting them at home or workplaces.
