People who are familiar with digital products know that the photo or image is composed of pixels. The image sensor restores the color and brightness of the image by “feeling†the strength of the light and the color. Regardless of other factors, in theory, the more pixels in the same size photo, the more accurate the details of the reflected photo and the clearer and more detailed the picture.
For the monitoring field, the principle is similar to that of digital camera imaging. The difference is that the monitoring image is output through the video signal, and signal attenuation is inevitable during this process. Therefore, the visual clarity of the surveillance industry “looks†much lower than digital photographs, and it is relatively difficult to increase the pixel level of the surveillance image.
Sensor, or lens?
In the field of security surveillance, the camera's image sensor and lens are two important factors that affect the sharpness of imaging. The sensor's ability to convert photoelectric signals needless to say, another point is that: it determines the highest pixel level of the output image; and the lens size corresponds to the sensor, the more accurate the lens is focused, the more pixels the sensor can be fully utilized.
Fundamentally speaking, in addition to the use of high-quality matching lenses, the most important thing is to increase the pixel level of the sensor. In short, it is to increase the number of pixels in the sensor. When the size is fixed, the size of a single pixel can be reduced.
Of course, for a fixed-size sensor, the more pixels, the smaller the area of ​​a single pixel, and the smaller the pitch between pixels. However, we know that the sensor is a highly sensitive optical component. The smaller the pixel pitch, the more likely it is that interference will occur between them. This interference will affect the imaging effect. The single pixel length and width of common megapixel image sensors in the surveillance industry is about 2um~4um.
The 1/3†sensor can reach a maximum of 5 million pixels. At this time, the size of a single pixel is only 1.75 um. Therefore, for a matching lens, it can only achieve 5 million pixels at the same size.
See pixels, or see pixels?
We often hear that some security products say that they have reached 5 million, 8 million, or even 10 million pixels when they advertise, which is a huge gap from the high-definition 2 million and 3 million HD that are common in the surveillance industry. Regardless of whether these pixels are really done or through interpolation, we can first see if the product's effects are so obvious.
In fact, we should also look at one element when looking at the number of pixels—the size (or pixel size) of the sensor. For sensors of the same pixel, the size of the sensor determines the size of its individual pixels, which in turn determines the clarity of the image.
For example, most common 5 million camera products on the market correspond to 2/3†(1â€) sensors, 2/3†sensors correspond to imaging specifications of 8.8mm×6.6mm, and a rough estimate of the size of a single pixel is approximately 3.4um. × 3.4um; while common 3 million pixel products are mostly only 1/3†(1/2â€) in size, and 1/3†sensor corresponds to an imaging specification of 4.8mm×3.6mm, which can also be calculated as the size of a single pixel is approximately 2.4 Um×2.4um. As a result, a total of 3 million pixel sensors compared with 5 million pixel sensors have nearly doubled their total pixels, but due to the fact that the sensor area is twice as small and the individual pixels are smaller by 1um, this is an important factor affecting the clarity of the entire screen. factor.
Thus, whether or not the monitoring image is clear is not only looking at the total pixels, but it is not only looking at the camera or sensor, but it is necessary to look at the size of a single pixel in combination with the sensor size, and then select the matching lens. Users need to rationally view the “ultra-high pixel†when choosing equipment, and cameras and lenses should also maintain the same resolution under the premise of ensuring quality.
For the monitoring field, the principle is similar to that of digital camera imaging. The difference is that the monitoring image is output through the video signal, and signal attenuation is inevitable during this process. Therefore, the visual clarity of the surveillance industry “looks†much lower than digital photographs, and it is relatively difficult to increase the pixel level of the surveillance image.
Sensor, or lens?
In the field of security surveillance, the camera's image sensor and lens are two important factors that affect the sharpness of imaging. The sensor's ability to convert photoelectric signals needless to say, another point is that: it determines the highest pixel level of the output image; and the lens size corresponds to the sensor, the more accurate the lens is focused, the more pixels the sensor can be fully utilized.
Fundamentally speaking, in addition to the use of high-quality matching lenses, the most important thing is to increase the pixel level of the sensor. In short, it is to increase the number of pixels in the sensor. When the size is fixed, the size of a single pixel can be reduced.
Of course, for a fixed-size sensor, the more pixels, the smaller the area of ​​a single pixel, and the smaller the pitch between pixels. However, we know that the sensor is a highly sensitive optical component. The smaller the pixel pitch, the more likely it is that interference will occur between them. This interference will affect the imaging effect. The single pixel length and width of common megapixel image sensors in the surveillance industry is about 2um~4um.
The 1/3†sensor can reach a maximum of 5 million pixels. At this time, the size of a single pixel is only 1.75 um. Therefore, for a matching lens, it can only achieve 5 million pixels at the same size.
See pixels, or see pixels?
We often hear that some security products say that they have reached 5 million, 8 million, or even 10 million pixels when they advertise, which is a huge gap from the high-definition 2 million and 3 million HD that are common in the surveillance industry. Regardless of whether these pixels are really done or through interpolation, we can first see if the product's effects are so obvious.
In fact, we should also look at one element when looking at the number of pixels—the size (or pixel size) of the sensor. For sensors of the same pixel, the size of the sensor determines the size of its individual pixels, which in turn determines the clarity of the image.
For example, most common 5 million camera products on the market correspond to 2/3†(1â€) sensors, 2/3†sensors correspond to imaging specifications of 8.8mm×6.6mm, and a rough estimate of the size of a single pixel is approximately 3.4um. × 3.4um; while common 3 million pixel products are mostly only 1/3†(1/2â€) in size, and 1/3†sensor corresponds to an imaging specification of 4.8mm×3.6mm, which can also be calculated as the size of a single pixel is approximately 2.4 Um×2.4um. As a result, a total of 3 million pixel sensors compared with 5 million pixel sensors have nearly doubled their total pixels, but due to the fact that the sensor area is twice as small and the individual pixels are smaller by 1um, this is an important factor affecting the clarity of the entire screen. factor.
Thus, whether or not the monitoring image is clear is not only looking at the total pixels, but it is not only looking at the camera or sensor, but it is necessary to look at the size of a single pixel in combination with the sensor size, and then select the matching lens. Users need to rationally view the “ultra-high pixel†when choosing equipment, and cameras and lenses should also maintain the same resolution under the premise of ensuring quality.
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