Year1
- 模块：
- 123
Hot selling at super low price
Hot selling at super low price
1. Invensys Foxboro br/r system (field input/output module) sequence Control, ladder logic control, accident recall processing, digital-to-analog conversion, input/output signal processing, data communication and processing, etc.
2. Invensys D system redundant fault-tolerant control system, the most modern fault-tolerant controller based on triple modular redundancy (R) structure.
3. Industrial robot spare parts D series, etc.
4. Westinghouse system, D system, system spare parts.
5. Honeywell: D system spare parts modules, series, and other spare parts.
6. Yaskawa: servo controller, servo motor, servo driver.
7. Rockwell B/, R Ryan and other products.
8. Spare parts such as bus and bus
9. Woodward d: valve position controller, digital controller.
10. Schneider: series, processors, memory cards, power modules, etc.
11. Motorola, ,,, series.
12. FANUC: various spare parts such as modules, cards, drives, etc.
13. Siemens R, CNC system, etc.
14. Dr. Rexroth: /module, controller, drive module, etc.
15.: Workstations, servers, workstations, series of spare parts, test equipment, etc.
16. Nikon: input and output cards, module spare parts. HP
17. Drives, drive boards, servo drives, servo controllers, motor drive cards, etc.
18. Domain r: data storage module.
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Xiamen Yingyi Automation Technology Co., Ltd.
Contact person: Fu Youyu
Contact information< br/> Email: @.
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Industrial Control
> Net News: On October 1, artificial intelligence experts and industry leaders from home and abroad gathered at the World
Robot
>Conference to launch a unique discussion on robots and artificial intelligence at its special forum, the China Intelligent Robot Industry Summit Forum. Keynote speeches and exciting interactive exchanges.
Knowing that there are still many fans who cannot attend the conference, the editor specially compiled the report shorthand of Hua Gang, leader of the visual computing group of Microsoft Research Asia and a senior computer vision expert, for everyone to have a quick look at.
Hua Gang: Good afternoon everyone! The title of today’s report is The Golden Age of Computational Vision, Opportunities and Challenges. If we see this topic, there are several keywords. The first is computer vision, the second is the golden age, the third and fourth are opportunities and challenges.
Based on these four keywords, I will tell you my understanding and opinions. What is computer vision? Defining the field from an academic point of view, computer vision involves computer systems that extract numerical and symbolic values from images and videos. We talk about a vision that will allow computers to see and understand images like humans, and we think it's a golden age to look back at the history of the true development of computer vision. Basically speaking, in the first embryonic stage of the history of computer vision, this field was still relatively new from year to year. In 2016 we presented a vision for computer vision at a summer artificial intelligence conference. Whether we can solve the computer vision work within three or four months, it has not been completely solved to this day. It has experienced a lot of development in the meantime. In the 1990s, MIT actually established a research group and opened the first computer vision course.
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