[ Plastic Machinery Network Editing Perspective ] The human eye is a powerful visual information processing tool. The recognition of color and shape is to realize the preliminary information transmission on a large level. For a long time, scientists are committed to the research of visual machines. If the machine can also have "vision", it may be more "smart" and provide more convenience for our production and life.
Rely on "look" mosquito locator
Recently, major companies in 5G, smart home, digital electronics and other fields have gathered at the 2020 CSE in the United States. The innovative technology products brought on the scene also refreshed our understanding of future technology development. However, while focusing on products that represent technological breakthroughs such as 8K screens and 5G computers, the CSE show, which has wonderful products every year, has not disappointed this year. An AI mosquito locator launched by Bzigo has recently been online. Many netizens on the sand sculpture have liked it.
This AI mosquito locator removes the bracket and is similar in size to a smartphone. Through the equipped sensors and special lenses, it can capture and analyze the trajectory of mosquitoes in the air, and use a low-power red laser to locate the mosquito With positioning instructions and real-time reminders on mobile phones, you are no longer afraid of a mosquito hitting in the middle of the night, and this technology is expected to extend to agricultural pest control in the future.
Although the human eye's visual processing capabilities are very powerful, this time it is compared. This machine achieves these operations. In addition to the sensors, locators, and other components, computer vision equipment that can obtain high-frequency video images plays a very important role in this.
Computer vision and machine vision
Computer vision emphasizes that computers have the ability to perceive, recognize, and understand objective three-dimensional scenes. In addition to the face recognition we often use now, the increasing popularity of driverless technology is more closely related to computer vision.
With the increasingly prominent role of computer vision in the field of intelligent transportation, driverless and assisted driving technologies have largely benefited from the development of computer vision. Using computer vision technology to identify vehicles, pedestrians, road conditions, traffic signals, traffic signs, etc. in the field of vision, give the computer the ability to "see" and make it respond to the corresponding motion control, greatly improving the vehicle system's environmental impact Perception.
In fact, computer vision has another twin brother, which is also familiar to us. The basic theoretical framework, underlying theory, and algorithm of the two are very similar, but machine vision is focused on the other hand, that is, the receiving and processing behavior of object images through non-contact mode sensors and optical devices to obtain information , And use this to guide the operation of robotic equipment, which is also a vision application often mentioned in the industrial field.
For example: for the quality inspection of products, the application of machine vision not only improves the inspection efficiency and quality, reduces the cost of workers, but also reduces the risk of secondary damage, which has considerable advantages compared with traditional inspection modes. Especially in the context of the development of the manufacturing industry towards intelligence, the dynamic monitoring and feedback provided by machine vision can control and adjust the manufacturing process in a timely manner, which is an advantage that is difficult to achieve with traditional production models.
In the sorting work, the robot uses the machine vision system to quickly process the sorted parts. For example, the new intelligent logistics sorting system realizes fast distribution of shipments and low error rate by reading bar codes; the e-commerce automated warehouse stock picks up the goods after the order is dismantled, and the robot picks the goods, and then checks the entire order to reduce the allocation errors. Rate and manual operation intensity; the automatic waste sorting machine realizes the error-free classification of materials and can work around the clock by screening the materials of waste. Progress in these areas is indispensable for the application of machine vision.
However, it is worth noting that both computer vision and machine vision rely on fast information processing capabilities. With the implementation of 5G technology, the increase in the speed of information processing has made more and more people see the potential of 5G. 2019 is known as the first year of 5G. It is also from this year that various industries are conducting relevant deployments of 5G technology. The characteristics of large bandwidth, low latency, and multiple connections brought by 5G reduce errors in the process of information interaction, and the interval between receiving information and responding is further shortened, which will greatly benefit industrial manufacturing, especially the production of precision equipment.
Plastic machine industry and vision technology
As far as the plastic machinery industry is concerned, it has a very close relationship with machine vision. For example, in the field of injection molding, machine vision can be used to check all aspects of injection molding, including injection products, injection molds, and the operating status of injection molding machines. Not only is it timely, but also the product can be judged more accurately by the human eye, reducing the loss of the manufacturer.
At the just-concluded RobolMEX 2019 exhibition, machine vision technology was equipped in the dart intelligent production system brought by the well-known enterprise of two-plate injection molding machine Borch. Among them, the main equipment Bi200 Internet injection molding machine can realize the monitoring and design of the production link. It is determined that the data exchange through injection molding cloud data can realize the intelligence and convenience of injection molding production.
As for the automation application of manipulators, Tuosda, a well-known domestic robot company, has continuously strengthened its R & D investment in industrial robots. In 2016, it established a machine vision R & D team to achieve a good combination of robots and machine vision, and continued to include servo systems and control. The underlying technology of robots and machine vision can be further expanded, which not only enhances the company's strength and product competitiveness, but also provides confidence in the development of domestic robots and plastic machinery industries and markets.
Conclusion: Visual technology has been increasingly used in all aspects of our lives, ranging from living equipment to industrial production, everywhere. It is also because of the development of this technology that we will usher in a more epoch-making industrial change. Vision technology will provide accelerated power for our intelligent production and life.
References: new technology, ittbank, intelligent transportation network, Tustar