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Infrared Thermal Imaging Technology Helps the Development of Video Surveillance System

Infrared Thermal Imaging Technology Helps the Development of Video Surveillance System

Jun 2,2022
As monitoring scenarios become more and more complex, the market has put forward higher requirements for safety monitoring in harsh environments such as haze, rain, snow, and at night, with lower illumination, longer monitoring distance, and wider dynamic range ever-evolving goal of surveillance cameras. Infrared thermal imaging technology is used in camera surveillance by the industry because of its strong detection ability and long detection distance. It is used in conjunction with visible light cameras to truly realize all-weather monitoring and is widely used in border defense, coastal defense, forest fire prevention, electric power, and other industries.

The current video surveillance system mainly uses a combination of visible light cameras, manual monitoring, and video recording for daily security protection. Visible light cameras rely on light imaging. Even though many cameras have functions such as ultra-wide dynamic and ultra-low illumination, the monitoring effect is still unsatisfactory in bad weather such as night, haze, rain, and snow. How to achieve more effective monitoring, which requires the use of infrared imaging technology.
 
In the field of security, infrared thermal imaging cameras are also commonly known as infrared thermal imaging cameras. The detector sends information to the sensor electronics for image processing. The electronics convert the received data into an image that can be displayed on a standard video monitor or LCD display, or on any networked computer.

The infrared thermal imager displays the infrared thermal image of the measured object. This thermal image corresponds to the thermal distribution field on the surface of the object and is essentially the thermal image distribution map of the infrared radiation of each part of the target object to be measured. Because the signal is very weak, compared with the visible light image, it lacks hierarchy and three-dimensional sense. Therefore, in order to more effectively judge the infrared heat distribution field of the measured target in practical applications, some auxiliary measures are often used to increase the practical functions of the instrument, such as image brightness and contrast control, real standard correction, and false color rendering, etc.

Talking about the difference between the infrared thermal imager and infrared thermal imaging camera, the commercialized application of infrared thermal imaging technology in the security field mainly refers to the infrared thermal imaging network camera. Compared with the traditional thermal imager, the thermal imaging network camera can solve a series of problems such as single work of the previous thermal imager, inconvenient installation and use, requiring a lot of manpower, data cannot be summarized in a timely and effective manner, and cannot be monitored online in real time. Incorporate thermal imaging monitoring information into the entire network monitoring platform to achieve true all-weather wide-scale monitoring without legacy.

Through the network, the thermal imaging images can be sent back to the monitoring center for analysis in real time. As long as the infrared thermal imager can sense the temperature of the heat, it will not pay too much attention to the details; and the infrared thermal imaging camera will be more technically demanding because after all, it requires higher sensitivity in the temperature-sensing radiation, and it is best to be able to see the rough outline of the object to be measured.

The above describes in detail the infrared thermal imaging technology to help the development of video surveillance systems. If you want to know more or want to buy an infrared thermal imaging camera, please contact us.

JAVOL is a professional custom infrared cameras and components manufacturer. Relying on the multi-spectral high-sensitivity photoelectric sensor chip of advanced compound semiconductor materials, with deep learning AI algorithm as the engine, integrating low-light night vision technology, infrared thermal imaging technology, short-wave infrared technology, and multi-spectral fusion technology, our company designs, develops and manufactures advanced imaging products and system solutions are widely used in machine vision, autonomous driving, drone payloads, high-end manufacturing, and medical diagnosis.