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News

15

2021

-

09

What are the advantages of visual systems over traditional machine vision?

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【概要描述】Traditional machine vision has poor raw resolution, and it is also subject to video corruption, such as repeated A/D transitions, electromagnetic transmission interference, interlacing, and D1 image synthesis and deinterlacing. When it actually reaches the human eye, it's very fuzzy, however, in practice, the clarity is nowhere near the theoretical level. The visual system adopts digital signal transmission, which converts optical signal into digital signal, and then compresses the image through DSP. Then, the digital compressed video is output through the network. The ordinary vision machine has the ability of anti-electromagnetic interference and progressive scanning, and the image resolution has incomparable advantages. The vertical resolution of the traditional visual system in PAL system is 625 lines, 575 lines after fading, the maximum current limit is 540 lines, and the minimum resolution can reach more than 800 lines. From the above, the maximum resolution of the traditional visual machine can reach D1 or 4CIF, which is about (400,000 pixels), but the visual system has no such limit. It can be a million or tens of millions of pixels, two or more. The visual system uses line-by-line scanning, scanning each frame of the image with an electron beam, while the traditional visual system uses interline scanning, whose line scanning frequency is half of that of line-by-line scanning. Due to the working principle of interline scanning, there are many drawbacks in application, such as flicker between lines, uneven parallel or vertical edges, etc. Resulting in overall motion image definition reduction. Color in visual software may be more realistic than vision, and the brightness signal and chrominance signal in video signal occupy the same frequency band. When the video acquisition chip is used for comb filtering (bright color separation), it is difficult to separate the chroma and brightness signals completely, resulting in spots and color penetration of the image. Machine vision can eliminate this hidden danger, because the color is more realistic, the sense of hierarchy is stronger, the image saturation is better, machine vision needs to control line, video line, audio line and power line wiring and independent matching, wiring is very troublesome and complex, large workload, high cost of integrated wiring, there are many restrictions in engineering applications.

Traditional machine vision has poor raw resolution, and it is also subject to video corruption, such as repeated A/D transitions, electromagnetic transmission interference, interlacing, and D1 image synthesis and deinterlacing. When it actually reaches the human eye, it's very fuzzy, however, in practice, the clarity is nowhere near the theoretical level. The visual system adopts digital signal transmission, which converts optical signal into digital signal, and then compresses the image through DSP. Then, the digital compressed video is output through the network. The ordinary vision machine has the ability of anti-electromagnetic interference and progressive scanning, and the image resolution has incomparable advantages.

The vertical resolution of the traditional visual system in PAL system is 625 lines, 575 lines after fading, the maximum current limit is 540 lines, and the minimum resolution can reach more than 800 lines. From the above, the maximum resolution of the traditional visual machine can reach D1 or 4CIF, which is about (400,000 pixels), but the visual system has no such limit. It can be a million or tens of millions of pixels, two or more.

The visual system uses line-by-line scanning, scanning each frame of the image with an electron beam, while the traditional visual system uses interline scanning, whose line scanning frequency is half of that of line-by-line scanning. Due to the working principle of interline scanning, there are many drawbacks in application, such as flicker between lines, uneven parallel or vertical edges, etc. Resulting in overall motion image definition reduction.

Color in visual software may be more realistic than vision, and the brightness signal and chrominance signal in video signal occupy the same frequency band. When the video acquisition chip is used for comb filtering (bright color separation), it is difficult to separate the chroma and brightness signals completely, resulting in spots and color penetration of the image. Machine vision can eliminate this hidden danger, because the color is more realistic, the sense of hierarchy is stronger, the image saturation is better, machine vision needs to control line, video line, audio line and power line wiring and independent matching, wiring is very troublesome and complex, large workload, high cost of integrated wiring, there are many restrictions in engineering applications.


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Comparison between optical fiber sensor and traditional sensor

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Structure principle and classification of optical fiber sensor

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琦威(香港)有限公司

Kiwell (Hongkong) Co., Ltd.

Add:  Workshop Unit No. A6, 8/F, Hoplite Industrial Centre, No. 3 & 5 Wang Tai Road, Kowloon Bay, Kowloon, Hongkong

Tel:852 3171 1488  

Fax:852 3111 6959

佛山市琦威电气技术有限公司

Kiwell (Foshan) Electric Technology Co., Ltd.

Add :  Floor 3,Block 5,No.23,Xinghua Road,

           Zhangcha Street,Foshan Clty,Guangdong Province

Tel :   0757-83276620    13827717320 

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Mailbox: info@kiwell.cn

 

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