Features: Pipe Extruison Line ,Pipe Extrusion Machine,Pipe Extrusion Machines,Pipe Extruison Lines Hitech Intelligent Machinery(Ningbo)Co., Ltd. , https://www.machinehitech.com
a-The optimum spiral bush highly improves the output of extruder
b-Accurate temperature control system ensures material melting performance
c-Unique screw design achieves better plasticizing and high quality products
d-Precisely designed gearbox with a high torsion guarantees stable running
e-H sharp frame to decrease vibrating of extruder
f-Advanced PLC operation system realizes synchronization and high quality products
g-Adopt automatic water temperature &level control and special independent filters on both vacuum and cooling tanks
h-Offer stable haul-off unit with 2-12 caterpillars
i-Provide saw &chip free cutting options
j-Low energy consumption, excellent performance, and easy maintenance
Face recognition applied in entrance and exit control system
Face recognition technology is a technique used to identify the identity after extracting effective feature information from the face image and using computer to analyze it. At present, the research on face recognition technology has become a hot topic in the field of artificial intelligence and identification. The face recognition process is shown in Figure 1. First, a face image database is established. When face recognition is performed, the individual face is first sampled. After the feature data is selected, the background image is removed from the background, features are extracted, and the model is compared with the pre-acquired face library image to determine the identities of the characters according to the similarity, so as to achieve the comparison of face recognition. purpose.
Face recognition access control
Human face access control is used as a “key†in the access control system in face-to-face areas of enterprises, government offices, government offices, and other places to compare human faces with pre-entry face databases. Different areas and different access points Access rights for different time periods are determined through the face of this special "card" to control the opening of the access control system in the building. Mainly based on face recognition control equipment, on the basis of the face also with a variety of ways such as IC cards, fingerprints, etc. to do combination verification, in terms of security has been further strengthened and guaranteed (as shown in the figure).
Face Access Control Machine
Human identification equipment
The identification of personal identification cards at the bus station, train station ticket gates, stadiums, scenic ticket gates, hotel check-in, customs clearance at the border checkpoints, etc. verify the identity of the relevant personnel through face recognition, and the system can be connected to the backstage face blacklist database. Once the blacklisted person is found, an automatic alarm can be triggered in the background (as shown in the figure).
Figure verification channel
The human comparison device is a high-performance, high-reliability face recognition product that supports biometric identification (face, fingerprint, etc.) and ID/IC card combination verification methods to control the gate Channel access: After capturing the face, the human face in the ID chip can be compared with the face image in real time, or compared with the face database in real time. After verifying, the gate channel is controlled to pass; the face information memory function is also supported. Passage only needs to do face comparison, and the device is applicable to various places where people need to verify in real time.
As an important part of the security system, the entrance and exit are bound to be more closely integrated with the overall security solution system. Now domestic manufacturers have transformed from a single product provider to an overall solution provider. This is also proved by the fact that the perimeter protection and access control It is the future trend that the alarm-to-video linkage will open up to each other to realize the application mode of resource sharing, and the entry and exit control areas will be fully integrated.
What does 720P, 1080I, 1080P represent?
In the simplest sense, they refer to the clarity of the image. They contain at least two meanings:
1. The number represents the pixel resolution of the image, 720 means the screen resolution is 1280*720 (1280 horizontal pixels, 720 vertical pixels), 1080 means the screen resolution is 1920*1080 (horizontal 1920 pixels, Vertical 1080 pixels).
2. The letters I and P are the interlace and progressive scan, respectively. Taking 1080I and 1080P as examples, although the resolution is 1920*1080, it is different in the display mode. When 1080I is used to display the screen, it adopts the interlaced display mode to scan and display the odd-numbered lines of 1920*540 resolution screen first. Scanning displays 1920*540 resolution screens with even lines. The interval between two frames is 1/60 second or 1/50 second (in NTSC and PAC). Take the human eye's staying principle and the last thing the human eye sees remains. It is a complete 1920*1080 high-definition resolution screen; while the 1080P format uses display line by line, that is, each frame directly displays a complete 1920*1080 high-definition resolution screen, eliminating the need for alternate display, The process of using human eye illusion synthesis. In other words, a 1920*1080 HD resolution screen is also displayed. The 1080I format requires two frames of time, and 1080P requires only one frame. Obviously, the P mode is clearer and more stable than the I mode.
720P, 1080I, 1080P, who is more clear?
The answer is 1080P>720P>1080I. As explained earlier, the 1080P format is clearer than 1080I, and the most confusing here is the second 720P. Why is it that the numbers in formats such as 1080I and 720P represent the resolution? In fact, they also represent the resolution. With the vertical definition of the picture, vertical definition (also called TV line) is the core indicator of the clarity of the video picture. It is divided into two kinds of dynamic and still picture situations. The so-called dynamic picture means that the video is in the normal playing state. The so-called still picture is the status when the picture is frozen when the playback button is pressed to some extent.
Under the dynamic picture, the 720P mode adopts a progressive scan display, each frame is a complete 1280*720 resolution, and the vertical resolution is 720 lines; while in the 1080I mode, due to the use of the interlaced display, each The frame picture has only 1920*540 resolution, and the vertical resolution is 540 lines. Although it is 640 pixels more than 720P in the horizontal direction (1920-1280=640), the resolution of the picture is determined by the vertical resolution. Therefore, the 1080I at this time is not as good as 720, and the definition is only 3/4 of 720P (540/720=3/4).
In the static picture, the vertical resolution of 720P is still 720 lines, and 1080I is normal. When the picture is still, it will interlace two frames of interlaced pictures into a complete 1920*1080 high-definition picture, so this time under 1080I format. The vertical definition of the picture becomes a 1080 line. In other words, its resolution is 1.5 times that of 720P (1080/720=1.5).
However, we know that when we watch the video, we see the continuous playback of the picture, not the still picture. Therefore, the comparison of the definition should also be based on the dynamic picture comparison, so there will be 720P than 1080I Clearer conclusions, how much clearer? The answer is 1.33 times.
With respect to the issue of sharpness, there is also a need to correct the notion that the total number of pixels cannot be used to measure sharpness. For example: 1080PFULLHD TV, its total number of pixels is 2.07 million 3600, while the national standard high-definition standard is 1280 * 720,720P format, the total pixel is 921600, so it comes out that 1080PFULLHD is the national standard high-definition television 2.25 times the definition of the definition. This algorithm is obviously incorrect. To calculate the sharpness, we must have a principle: it can only be based on the vertical TV line, regardless of the total number of pixels.