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Sensors and combinations of artificial intelligence improve computer vision while making them easier to deploy and operate.

Trends in the next 10 years, thanks to advances in computing power, leaps in volume, speed, and variety of data, artificial intelligence is likely to become a breakthrough technology. most destructive.

With research on artificial intelligence for new products that are creating incredible applications as machines and devices are getting closer and closer to human capabilities. Even, in many fields, artificial intelligence machines have the ability to outperform humans.

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1. What is computer vision?

Computer vision is a technology in the field of artificial intelligence and computer science that establishes machines with human vision and recognition processing. Describes the machine's ability to acquire and analyze visual data and then make decisions about it.

Computer Vision is aimed at the process of simulating human vision in a non-biological apparatus. Includes initial imaging, object detection and recognition.

This technology has long been popular in science fiction, so they are often taken for granted. In practice, the system that provides reliable, accurate and real-time computer vision is a challenging problem that has not been fully developed.

As this system matures, there will be many applications that rely on machine vision as a key component. Such as automated robots, cars, drones, intelligent medical support in surgery and surgical implants to restore human vision.

2. The importance of computer vision

Computer vision allows computers as well as robots, computer controlled vehicles and everything from factories, farms, etc. to perform some operations automatically, even safely and efficiently. more fruitful. Machine vision takes a lot of data, doing data analysis iteratively until it distinguishes the differences and recognizes the image. The application technology to implement machine vision is deep learning and Convolutional neural network (CNN).

Using an algorithmic model allows the computer to learn about the context of visual data on its own, instead of needing a programmer. If enough data is provided, the computer will look at the data and teach itself to distinguish one image from another.

3. How is computer vision applied in the modern world?

In the modern world, computer vision is applied in many fields that prove its influence. They are applied in many different fields including: Business, entertainment, transportation, healthcare, ..

The main driver for the development of machine vision systems is the amount of information gathered from smartphones, industrial cameras and other assistive devices. They are used to train the computer vision system, thereby enhancing its value in human activities.

Error detection

This is the most common application of computer vision. Before there was no computer vision, the detection of defects and product defects was done by humans. Therefore, for a large volume of work, it is very difficult and time-consuming to check completely accurately.

However, with machine vision, they can detect even the smallest defects such as cracks in metal, paint defects, bad prints, etc. with dimensions less than 0.05mm. In it, the algorithm is "Deep Learning", specially designed and trained for each specific application through error-free and error-free images.


One of the most important applications of computer vision is measurement, what was previously measured by sophisticated laser devices or probes, but can now be simplified by computer vision. In order for the measurement to be highly accurate, it is necessary to provide sufficient references for machine learning and create a favorable lighting environment, suitable for the subjects.

Using the visual system, humans can measure changing part sizes, straightness, parallelism, etc.

Optical Character Recognition

Nowadays, smartphone cameras can directly read text instantly. This is easy to see in translation applications. When the camera scans, the text will be automatically entered and translated into another language. Here, computer vision uses the OCR algorithm to recognize characters with the highest accuracy

Check packaging for manufacturing defects

A key feature of the solution involves the use of computer vision to inspect broken or partially formed tablets. As the tablets go through the production line, images are captured and transferred to a dedicated PC for image processing by software, then further analysis is run to check that the tablets have the correct color, length, and color. , width and whole zero.

3. Future trends of computer vision technology

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Computer Vision

Research data shows that, by 2023, the global computer vision market is expected to reach 12.29 billion USD.

The main drivers of growth in the machine vision market are the need for quality inspection and automation inside factories. Growing demand for AI and IoT integrated systems that rely on machine vision to improve robotics productivity and government initiatives to support smart factories globally .

In recent years, computer vision is experiencing a remarkable development in the era of the 4th industrial revolution. Combined with data from deep learning computers collected from production activities. In daily production, Computer Vision has the potential to become a powerful assistant for manufacturers, providing support in all aspects of the factory.

With the potential for continuous development, computer vision combined with deep learning computers can completely be the premise for the explosion of artificial intelligence that sophisticatedly simulates the human brain in the near future. However, it is also always a challenging problem for computer network systems. The use of deep learning models and the growing power of machine learning algorithms are the cause of continuously increasing concerns and hacker attacks. That means every user has to be responsible at all times and computer vision needs to be monitored by all of us around the world.

It can be affirmed that computer vision is increasingly asserting its position in the development of society. In the future, it is possible that computer vision is a pioneering application, opening a new era of development for humans. The era of artificial intelligence.