Since the beginning of this year, the large language model represented by ChatGPT has set off a new wave of AIGC artificial intelligence technology, and recently Meta launched the large image segmentation model SAM, which makes Prompt mode used for natural language processing also begin to be applied in the field of computer vision. AI researchers say SAM is to computer vision what GPT is to large language models.

Computer vision, also known as machine vision, is one of the perceptual intelligence fields of artificial intelligence. It is the main way for machine equipment to collect and understand information, so it is often compared to the “eyes” of robots. Under the trend of intelligent manufacturing and industry 4.0 transformation, the development of various multi-mode artificial intelligence technologies promotes machine vision, as a key technology to realize intelligent manufacturing, and is also riding the wind and waves to the new blue sea.

At the Industrial Robot Innovation and Electronics “Smart” Manufacturing Summit held at the same time of the Munich Electronics Production Equipment Fair 2023, Mr. Jin Fangqi, Vice President of the Industrial and Emerging Chip Department of Stereway Technology, delivered a speech entitled “Wave riding Machine Vision, Stereway CIS helps build industrial” eyes of Perception “. He said metaphorically that more and more machine vision applications need intelligent terminals to make accurate and rapid acquisition and processing of information. If the camera is the eye of machine vision, then the CMOS sensor can be seen as the retina of this pair of “eyes”.

“In the near future, robots of all kinds will become an indispensable part of our lives. Robots will play an increasingly important role in both industrial production and household life.” “And one of the core technologies of robotics is machine vision. It is the main means for the robot to obtain information and is the core of the robot’s ‘eye of perception’.”

A complete machine vision system is generally composed of optical system (light source, lens, industrial camera), image acquisition unit, image processing unit, actuator and man-machine interface module. With the continuous development of industrial automation technology, machine vision is more and more widely used in 3C electronics, new energy, automobile, semiconductor, photovoltaic and other intelligent manufacturing fields. The increasing demand for intelligent manufacturing technology is driving the machine vision market to the new blue sea.

“Data from Yole shows that the market scale of machine vision in industry and automation is expected to exceed 10 billion yuan in 2026. CIS sensor, as the core technology of machine vision, will also usher in the increasingly hot blue ocean market under this trend.” He emphasized that Stever focuses on high-end imaging chip technology. In this professional-grade market, Stever will continue to focus on customer needs, driven by high-end innovation, and continue to introduce smart sensor products more suitable for machine vision.

Since its establishment, Steveway CIS products have enabled thousands of intelligent visual applications, including smart phones, security monitoring, vehicle electronics, industry 4.0, unmanned aerial vehicles, sweeping robots, intelligent education, intelligent transportation, biometrics and so on. Stever will adhere to the vision of “cutting-edge intelligent imaging technology, so that people can better see and understand the world”, with customer demand as the core driving force, continue to promote cutting-edge imaging technology upgrade, expand product application areas, and together with partners to promote the deepening development of future intelligent imaging technology.

According to Yole data, in 2021, Swerve ranked fourth in the global CIS market and second in the domestic CIS market, ushering in rapid development in the field of vehicle application. In the future, it will continue to expand and innovate in emerging application fields such as artificial intelligence, mobile phone imaging and vehicle electronics.

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