What is computer vision?
Computer vision (Computer Vision) refers to the use of cameras instead of human eyes, through the simulation of biological vision to identify, track and measure targets. After further processing by computers, the target will eventually be processed into a more suitable image for human eye observation or machine detection. Generally speaking, it is a science that studies how to make machines learn to "see".
The past and present of computer vision
The science of computer vision was born in the 1950s. At the beginning of its birth, the subject classification was very chaotic. After several years of exploration and development, it finally had its first climax in the 1960s. Roberts of MIT extracted various three-dimensional structures from digital images through computer and created the research of three-dimensional computer vision. With the development of computer technology and the continuous exploration of researchers, computer vision in the 1980s finally became prosperous, moving from laboratory to practical application, leaving valuable experience and knowledge.
The main application field of computer vision technology is the physical robot industry. With the gradual maturity of artificial intelligence technology, the current computer vision technology has been integrated into more artificial intelligence products, and is more closely integrated with the field of process automation - this is obviously a great good news for many enterprises.
Application of technology in process automation
The field of process automation is closely related to the image classification and image detection technology of computer vision. Image classification is usually used in combination with OCR technology.
So, what is OCR technology? OCR, the so-called optical character recognition, can determine the shape of text through the bright and dark patterns on the scanning parts of electronic equipment, and then translate the shape into text. In short, image classification can be combined with OCR technology to find the unique attributes of a certain type of image, and then use it as a feature to classify the image through artificial intelligence algorithm, such as finding out which are ordinary bills and which are VAT bills from a pile of invoices.
Image detection is to identify the objects in the image to identify the objects in different modes. The difference between image detection and image classification is that image classification describes the whole picture, while image detection cares about specific features. In the field of automation, if a target is detected in a video or image, it will trigger automatic processing.
Combination of RPA technology and computer vision
RPA (robotic process automation) refers to the automatic execution of those rule-based and repeated business processes by simulating human interaction in the software system, so as to improve work efficiency and reduce labor cost. RPA can be automated by connecting various applications. RPA robots are more like virtual assistants, allowing you to remove repetitive tasks that are not complex but cost employees valuable time.
The combination of computer vision and RPA can help employees save a lot of time and energy: with the help of computer vision technology, RPA does not have to input through the keyboard or worry about input errors, and its working speed is much higher than that of ordinary employees. This combination will bring good news to countless industries that need to deal with a lot of text.
The advantages of RPA Technology
Accuracy: minimize human error and its associated costs
Compliance: create audit trails and strictly comply with regulatory rules
Speed: 4-5 times faster to complete tasks and improve efficiency
Reliability: the robot is available at any time and works 24 hours to minimize delay
Improve employee morale: Liberate employees from repetitive work so that they can focus on productivity rather than process.
The future has come
It has been more than 60 years since the concept of artificial intelligence was first put forward in 1956. Computer vision technology has expanded from simple face recognition and optical character recognition to various directions, and gradually realized the application of technology in security, finance, Internet and medical imaging. According to the statistics of Frost & Sullivan (Frost Sullivan consulting company), in 2016, the scale of China's computer vision market was only 1.14 billion yuan. By 2019, the market scale of China's computer vision industry has rapidly increased to 21.96 billion yuan. In addition, according to the statistics of ICT Institute, it has increased by an amazing 259.6% compared with 2016. With the gradual maturity of visual artificial intelligence technology and the gradual expansion of application fields, it is expected that the scale of China's visual artificial intelligence market will further expand to 75.55 billion yuan in 2020. It can be expected that computer vision technology will continue to develop at a high speed in the future.
