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Marker Pile: Intelligent Marker Pile Image Monitoring Device|Dingsin Intelligent Monitoring Sentinel

Author: Click:284 Time:2024-10-03

 In the modern city and infrastructure construction, marking piles, as an important safety indication device, are widely used in many fields such

 In the modern city and infrastructure construction, marking piles, as an important safety indication device, are widely used in many fields such as electric power, communication, gas, water, railroad, and safety warning along railroads, highways, rivers and so on. They are not only the indication signs for the path of buried pipelines, but also help people to recognize and locate the important infrastructure. Usually made of fiberglass, plastic steel and other materials, with bright appearance, versatile styles and long service life, they are committed to reminding people of the existence of underground pipelines through eye-catching color and text markings, avoiding accidents such as accidental digging and damage. However, with the rapid development of science and technology, the traditional sign posts have been difficult to meet the increasingly complex security needs.



  Technology empowered, security upgrades, next, we focus on intelligent sign post image monitoring device, Shenzhen Dingxin Wisdom TechnologyDX-DLS100-B1Intelligent Sign Post Image Monitoring Device, also known as Intelligent Monitoring Sentinel (_self), also called Intelligent Monitoring Sentinel. a href="http://www.vodaswim.cn/product_detail/787023.html" target="_self">Intelligent sign post image monitoring device, also known as intelligent monitoring sentinel (intelligent sign post), is the integration of modern electronic technology and Communication technology of new equipment, with passive power and wireless transmission, four eyes panoramic monitoring, starlight night vision, front-end intelligent analysis, linkage alarm and remote shouting and other functions, as shown below, through a convenient buried installation, can complete the continuous monitoring of the surrounding environment and early warning back to the transmission.



The core advantage of intelligent sign post image monitoring device is its panoramic visualization ability. Through the four-eye integrated high-definition lens and starlight-level low-light algorithm, with wireless communication, the device is able to capture the environmental information around the installation location in 360°without blind spot, whether it is daytime or nighttime, whether it is sunny or rainy day, it can provide the operation and maintenance personnel with detailed and intuitive data of the environmental situation around the line. This panoramic visualization capability greatly improves the efficiency and accuracy of monitoring, and provides strong support for timely detection and treatment of potential safety hazards.

In addition to the panoramic visual ability, the intelligent sign post image monitoring device also has a powerful AI recognition function, whether it is the excavator, shovel and other construction machinery operating in violation of the law, or other behaviors that may lead to damage to the line, it is able to automatically identify and report the hidden dangers that may jeopardize the safety of the line, and when it finds out the hidden dangers of the safety, the intelligent sign post image monitoring device is also able to link up with the alarm and the remote shouting function, in order to attract the Attention of on-site personnel, such as forbidding excavation, staying away from the line protection area, etc., effectively preventing the occurrence of destructive behaviors, and also providing timely guidance and assistance to on-site personnel in case of emergency.



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The online monitoring, distributed fault location and cable online monitoring equipment for power transmission and distribution lines launched by SHENZHEN DINSEE SMART TECHNOLOGY CO.,LTD. has been widely used in Southern Power Grid and State Grid, and has achieved good results.

Record No.: Yue ICP Bei 2022070794-1 | Website Map XML Map

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