The industrial digital speckle 3D camera (Figure 1) refers to actively projecting the digital speckle pattern to the surface of the object to add texture, capturing the texture through binoculars and performing parallax matching to obtain 3D point clouds.
Before 3D vision was put into industrial applications, the cluttered and disordered work tasks were usually positioned with traditional tooling. This method cannot meet the needs of using one tooling positioning for different products.
A good autofocus industrial camera should have the characteristics of high precision, high definition, good color reproduction, low noise, etc., and parameters such as exposure time, brightness, gain, etc. can be programmed through the computer.
At present, the focal length adjustment of the lens on the market is mainly divided into three types: one is fixed focus, the focal length is fixed, and the aperture is fixed; the other is manual zoom, which requires people to manually open the dome cover to adjust the zoom ring
At the beginning of the new year, Shenshi successfully completed the B+ round of financing of hundreds of millions of RMB. This round of financing was jointly led by Matrix Partners and Hillhouse Ventures, followed by industrial capital. This round of financing will be used to increase investment in research and development, accelerate team upgrades, and expand product lines.
In the new crown epidemic that occurred in the Spring Festival of 2020, a temperature scanner can display the temperature of the human body in one or two seconds, which is not only convenient and fast, but also accurate. It mainly relies on one component to convert the temperature into a display number, which is a small small sensor. The expected demand for sensors in 2020 will reach 1 trillion, and the scale of my country's sensor industry will reach 60 billion yuan.
Nowadays, automated production has become popular, and the production lines in the factory are spectacular and efficient. But how can we quickly detect whether the products produced are qualified in such an era of high-efficiency production, and how can we further detect which part of the substandard products has a problem? At this time, the help of machine vision system is needed.
It will be officially released soon, with reduced cost and high cost performance. It is mainly aimed at the low-end market. Facing the traditional manufacturing industry, it will create new application scenarios and release a huge market in traditional industries. It is used in shoe material production, robot welding, robot handling, ceramic tiles, etc. Quality measurement of building materials, etc.
Among the many industrial upgrading values brought by artificial intelligence, machine vision will undoubtedly contribute greatly. Whether in industry, agriculture, service industry, and financial industry, intelligent solutions based on visual interaction occupy more than 80% of intelligent systems. Furthermore, vision is often the bearer of techniques such as knowledge graphs, semantic segmentation, and machine learning.
As we all know, sunlight in nature is a kind of white light. White light is not pure light, but is composed of many monochromatic lights. The wavelengths of light visible to the human eye range from 400nm (blue light) to 700nm (red light). The phenomenon of angular deflection may occur when light propagates in different media.
Flatness measurement method Flatness error refers to the variation of the actual surface to be measured relative to its ideal surface. The position of the ideal plane should meet the Z minimum condition, and the flatness error belongs to the shape error in the shape and position error. The common methods for measuring the flatness error are as follows: Liquid level method: The liquid level method uses the liquid level as the measurement datum. The liquid level is composed of the liquid level in the "connecting tank", and then the sensor is used to measure. This method is mainly used to measure the flatness error of large planes.
Considerations for selecting linear displacement sensors Displacement sensors, as an important component of the sensor family, are increasingly used in the field of industrial automation, but there are many misunderstandings in the selection process. Let's take a look at the selection of displacement sensors. The center that needs attention.
Deep vision of intelligence, reaching the international testing level, the products are favored by the industry. Founded in 2014, Deep Vision Intelligence is a well-known enterprise with core technologies such as machine vision, 3D algorithms, optical imaging, hardware acceleration, and precision measurement. The company is mainly engaged in the research and development of optical precision measurement products and systems and 3D precision measurement, and has launched the country's first ultra-high-speed line laser...