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Anonymous users2024-02-07The smart construction site helmet recognition system can solve the problems of whether employees wear safety helmets correctly and the positioning of construction site personnel.
The smart construction site helmet identification system can be realized through the project site management visual dynamic information platform, which can meet the daily management of personnel entering and leaving the construction site, such as: helmet wearing, body temperature status; Personnel positioning at the construction site: personnel positioning in the operation area, personnel statistics of various types of work in the operation area, and emergency help positioning; On-site visibility:
Display the progress of the project, the situation of the resource division, and the monitoring of project abnormalities; Large-screen information release: three-dimensional display of project information, project navigation, and important information release; Engineering security linkage: ** monitoring access, perimeter alarm feedback, etc.; Data Interconnection:
Multi-platform interactive sharing of data, multi-party visualization of project dynamics; Information storage: record important project information to provide a reliable basis for project decision-making.
GIS visualization technology combined with Internet of Things technology applied to project management will greatly improve the project safety management indicators, real-time check whether the safety precautions of the construction site are in place, such as the setting of the safety net of the building, the edge protection of the working surface of the construction personnel, the wearing of safety helmets of the construction personnel, the erection of the outer scaffold and the floor bamboo scaffolding, the fixing and use of the cable wind rope, the installation and use of the hanging basket, the protection of the hanging tray feed port and the floor unloading platform, the installation and operation of the tower crane and the winch, etc. In the event of abnormal conditions and emergencies, the alarm can be reported in time to remind the management personnel to deal with it in time.
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Anonymous users2024-02-06The smart construction site helmet recognition system is based on intelligent analysis, which automatically analyzes and identifies image information without manual intervention; Detect the wearing of safety helmets by personnel in the monitoring area of the construction site, give early warning in the fastest and best way, effectively assist the management personnel to deal with it, and also view the on-site video to facilitate the post-event management query, improve the level of enterprise information management, and realize the intelligent management of the construction site.
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Anonymous users2024-02-051.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, real-time identification and early warning of personnel wearing safety helmets in the construction site monitoring area, the alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
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Anonymous users2024-02-04What is the biggest role of the safety helmet system on the construction site, in fact, his main role is to protect personal safety, because the construction site itself is an unsafe place, because you think about it, that is, they are the construction site, Maoguang, without a safety helmet, especially on foot, it is very easy to be injured, if you are accidentally injured, that is, the harm to people's bodies is particularly large, and the land, especially large, so its biggest role is to protect your own safety.
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Anonymous users2024-02-031.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, real-time identification and early warning of personnel not wearing safety helmets in the monitoring area, alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal, and the linkage speaker prompts the staff to deal with it in time.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
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Anonymous users2024-02-021.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, real-time identification and early warning of personnel not wearing safety helmets in the monitoring area, alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal, and the linkage speaker prompts the staff to deal with it in time.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
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Anonymous users2024-02-011.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, real-time identification and early warning of personnel not wearing safety helmets in the monitoring area, alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal, and the linkage speaker prompts the staff to deal with it in time.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
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Anonymous users2024-01-311.The alarm accuracy is high.
2.Real-time identification of alarms.
Based on intelligent analysis and deep learning neural network technology, real-time identification and early warning of personnel not wearing safety helmets in the monitoring area, alarm information can be displayed in the monitoring client interface, and the alarm information can also be pushed to the mobile terminal, and the linkage speaker prompts the staff to deal with it in time.
3.All-weather operation, stable and reliable.
4.Alarm storage function.
When the smart helmet enters our field of vision, its performance and ** are the topics that everyone is most concerned about. What is the ** of smart safety helmets, and is it acceptable to the general public that smart safety helmets have more functions than traditional safety helmets? Let 6108 technology and you learn about it! >>>More
The technology of helmet recognition is the application of intelligent analysis and network technology to realize the supervision of personnel activities in the production area of high-risk industries such as construction sites, petrochemicals, and electric power. The working principle of the helmet identification system is to conduct real-time analysis and recording of whether to wear a helmet, identification, tracking and alarm, the helmet identification system does not rely on other sensors, directly through real-time analysis and early warning and upload to the management system server, and then the server real-time analysis of the ** stream, through precise calculation and identification to accurately determine whether there is a violation of the rules and do not wear a helmet, if it is found that the staff does not wear a helmet or smoke in violation of regulations, the helmet identification system will automatically send an alarm, At the same time as reminding the supervisors, the system will automatically save the time, place and corresponding **, as the basis for punishment, the safety supervisor can see the uploaded data ** can be remotely or on-site to correct the supervision of wearing safety helmets, so that the management of the traditional construction site has also been improved in many aspects. In addition to face recognition, the most concerned about smart construction sites is safety, and Fuwei Image's helmet recognition system is the guardian of these high-risk work areas. >>>More
1) Before wearing the helmet, adjust the adjustment system behind the cap to the appropriate size position according to your head shape, and then fasten the chin strap of the cap. The tightness of the cushion liner is adjusted at the factory. The vertical distance between the top of the head and the top of the cap is generally between 25 and 50mm, at least not less than 32mm. >>>More
Before wearing the smart helmet, you need to turn on the power switch and enter the self-test process first, and after the self-test process is completed, a message will be sent to the server, which contains sensor status, GPS positioning information and base station information. After the first self-test packet is successfully sent, the helmet enters the wearing monitoring state. Enter the wear monitoring state, if the wearing abnormality is detected, a voice alarm will be issued, and a message will be sent to the operator. >>>More
Please refer to Article 37 of the Work Safety Law of the People's Republic of China. >>>More