小优智能科技有限公司成立于2015年底,是一家专注于高精度3D机器视觉模组研发、生产及销售的高科技企业。
公司自主研发的3D机器视觉模组采用激光/DLP白光编码光栅结构光+双工业相机方案,还原物体三维信息,广泛应用于消费电子领域、工业领域和安防领域,具有精度高、速度快、成本低的优势。
3D machine vision concentrates on optics, electronics, machinery, sensing and computers, and has strong technology. For this enterprise, the lack of any technology will affect the research and development of its products. In a 3D machine vision system, the quality of the cable affects the quality of the transmitted data.
1. Hyperspectral application. Used in material identification, object discovery and process detection that cannot be done with the naked eye. Applications outside the manufacturing field are driving the enhancement of hyperspectral cameras, which combine spectroscopy and digital imaging. Military surveillance applications account for the largest share of the hyperspectral imaging market, as well as environmental testing, mining, and mineral applications. In medical and diagnostics, hyperspectral imaging will also be used. It is difficult to analyze and process the data of hyperspectral imaging, which is also a major obstacle to the development of the market, and the high cost of hyperspectral cameras.
2. Unmanned store. With the development of unmanned stores, 3D machine vision is increasingly loved by retailers. It is expected that in the next 3-5 years, retailers may actively embrace visual technology.
3. Smart city. As part of the smart city concept, 3D machine vision systems will be deployed in large numbers. Traffic condition monitoring and license plate recognition are both considerations for traffic safety. Advanced vision technology will reduce the number of vehicle collisions, deaths and injuries.
4. Cross-industry collaboration. Many new uses of 3D machine vision components, vision manufacturers suffer from many interface standards they are not familiar with, such as the HDMI 1.3 standard in the microscope field, the SDI standard in the broadcast field, the 3G-SDI standard in the defense field, and the LVDS in the traffic imaging field Standards and GMSL standards for the automotive industry. In order to solve these problems, all parties need to cooperate to share their respective expertise, to better obtain data from the camera sensor and send it to the PC for processing.