What is the principle of snapping focus?

[ Huaqiang Security Network News ]
This article introduces the principle of capture focus. Common traffic monitoring devices can be divided into: vehicle red light monitoring system, vehicle overspeed detection system, road bayonet system and other illegal monitoring systems.
What is the principle of snapping focus?
Take a picture of the red light:
1. The electronic eye uses the sensing line to sense the pressure from the car on the road. The signal is collected by the sensor to the central processor, and the register is temporarily stored (the data is valid in a red light cycle); (Note: In addition to the ground sensing line In the external mode, there is also a video detection or radar detection in front of the parking line)
2. In the same time interval (within the red light cycle), if two pulse signals are generated at the same time, it is regarded as “valid”. Simply put, if the red light is at the time, your head wheel is over the line, and then the wheel If there is no line, only one pulse is generated, and when there are no consecutive two pulses, no picture is taken;
3. Some situations are: Some people drive the front wheel over the line, afraid of being photographed, so he dumped the car and returned to the line. The result was still taken. What is the reason? It is because one after the other, a "one pair" pulse signal is generated (this pair of pulses is generated in the same red light cycle), and I was ranked n times because of this. However, most of the current electronic police's induction coils have a logic recognition function, which may not be captured.
4. When the yellow light is on, the camera system starts after 2s delay; when the red light is on, the system has started; when the green light is going to be on, the system is turned off 2s in advance, mainly to prevent accidental shooting. So many taxi drivers know that they can almost go, just like nothing. However, it is recommended that you do not do this because the timing is more difficult to grasp.
Post-processing: After the image is downloaded and transmitted to the command center, the image needs to be registered, numbered, and announced, and then transmitted to the central computer database for use by various agencies.
System features: Vehicle capture rate----100% (excluding two-wheeled motorcycles, etc.).
Recognition time ---- about 1 second (must be much faster than your reaction).
License plate recognition rate-----more than 95% during the day and more than 90% at night (higher).
Applicable speed ------ 5-180Km / h (if you open 190, it will not be able to shoot)
1. The principle of illegal TV capture
There are two ways, one is to embed the induction coil underground, the digital camera is mounted on the crossbar for capturing the red light, and the other is to set up the camera for real-time video recording of overspeed, red light violation parking. Either way, at least three pictures will be taken for illegal vehicles, one is an instant violation picture, one is a number plate identification picture, and one is a panoramic picture. Either way, it is a 24-hour boot, and the picture retention time is usually one week.
2. Violation process
When the command center receives the picture, it compares the license plate number information with the vehicle management information, and then calls out the comprehensive information of the vehicle, such as the owner, model, color, etc., and then the information processing personnel enter the website, so that the illegal owner can carry out Inquire.
3. Information loss problem
Not all illegal vehicles can be photographed. Only when the license plate picture is clear, the information input personnel can input the illegal vehicle into the database for processing.
4, shooting range:
A camera usually takes only one lane, and a few can take two lanes, usually located on the first and second lanes from left to right. Digital cameras have a wide range of shots, so most of the urban areas are able to capture all lanes in the same direction.
The above is the principle of capturing focus for Xiaobian. I hope everyone can understand more.

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