What is the principle of the helmet identification system?

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.

It can be said that the identification of safety helmets is a more effective and important means applied to site management, which provides a strong technical guarantee for safety officers to carry out on-site supervision.

The helmet identification system is based on intelligent analysis, identifies violations in the monitoring area, finds the personnel in the monitoring area not wearing safety helmets in time, and gives early warning in the fastest and best way, so as to truly achieve early warning in advance, normal detection in the event, and standardized management after the event, so as to free security operators from the complicated and boring task of "staring at the screen".

Hard hat identifier.

Background. In order to reduce the difficulty of management and improve the safety awareness of on-the-job personnel, the helmet identifier can be deployed at various production sites to detect and warn whether the on-the-job workers are doing a good job of safety precautions in accordance with the requirements.

Product Introduction. BVS-V500-A series helmet identifier is based on Intel architecture and uses intelligent analysis technology for helmet recognition. It is characterized by high recognition rate, small size of the equipment, and easy deployment.

Hard hat recognizer pattern application.

Access mode. Deploy a helmet identification system at the gate of the high-risk area of the enterprise, and when the staff wants to enter the protected area to work, it is necessary to detect whether the safety helmet is worn, and if the safety helmet is not worn, the alarm will be recorded and recorded.

Dynamic detection mode.

Real-time detection of whether there is personnel activity in the camera screen, when someone is detected, synchronously detect whether the personnel are wearing safety helmets, if not wearing safety helmets, output alarm information, notify the background monitoring personnel.

Technical Indicators. Access to camera requirements:"However, when the monitoring system detects, the dome must be in a stationary state (cannot rotate or zoom), and the viewing angle is a top-down viewing angle or a normal viewing angle.

Output signal: support alarm output, switching signal, network signal output.

Helmet recognition area: The size of the helmet needs to be greater than 40x40 pixels in the screen.

Monitoring distance: 1-50 meters (depending on the performance of the imaging equipment).

Frequency input device support: support mainstream brands such as Hikvision, Dahua, Uniview, etc., and support RTSP and ONVIF protocols.

Day and night mode: support visible light imaging mode, support LED white light fill light and other auxiliary light sources, do not support infrared, thermal imaging.

The principle of helmet recognition is to use AI technology to conduct real-time analysis of the work site, if it is found that the staff does not wear a helmet or smoke in violation of the requirements as required, the system will automatically send out an alarm, while reminding the supervisors, the system will automatically save the time, place and the corresponding **, as the basis for punishment, under the tide of AI, the traditional construction site has also been improved in many aspects, in addition to face recognition, the most concerned about the smart construction site is the safety issue, How can AI technology be applied to security? The Eagle Eye Helmet Recognition System is the guardian of these special areas. It can be said that the intelligent identification of safety helmets is an important means to be applied in the transformation and upgrading of construction site management, and provides strong technical support for safety officers to carry out on-site supervision.

In some construction sites and mining areas, there are often falling objects on the site, and from a safety point of view, all workers entering the site must wear hard hats. In the past, violations were eliminated through inspections or inspections by safety supervisors, but due to the wide range of points, omissions were inevitable, and the results were unsatisfactory. The Eagle Eye helmet recognition system solves this problem very well, and the recognition rate of not wearing safety helmets as required reaches more than 96%, which is enough to form a deterrent to violations, erect a safe firewall for on-site staff, and let the smart construction site and safety production marry, fundamentally relieving the worries of managers and regulatory departments.

The working principle of the helmet recognition system is to carry out real-time analysis and recording of whether to wear a helmet on the spot, identification, tracking and alarm, the helmet identification system does not depend on other sensors, directly through the video real-time analysis and early warning and upload to the management system server, and then the server analyzes the video stream in real time, accurately determines whether there is a violation of the rules and regulations not to wear a helmet through precise calculation and identification, if it is found that the staff does not wear a helmet or smokes in violation of regulations, the helmet recognition system will automatically send out an alarm, At the same time as reminding the supervisor, the system will automatically save the time, place and the corresponding **, as the basis for punishment, the safety supervisor sees the uploaded data** can be remotely or on-site to correct the supervision of wearing a safety helmet, so that the traditional management of the construction site has also been improved in many aspects.

You can learn about the Fuwei helmet recognition system, the algorithm is mature and easy to use.

In the production and construction site of the helmet identification system, as long as the helmet is not worn in accordance with the company's requirements, the system will send out an alarm in time, so as to remind the relevant supervisors in the area to deal with it, and protect the life safety of production workers like a firewall.

So how does such an efficient, intelligent, and easy-to-manage identification system complete a series of related Changqi operations of which potato? In the following, we will analyze and introduce this in detail.

Relying on AI technology, this helmet recognition system collects big data on helmet wearing, trains the software model through deep learning, and finally develops a system that can replace the human eye. The system monitors the situation of workers wearing safety helmets through real-time analysis of the first-time screen of front-line workers working on site, and once it is found that the human eyes are not wearing safety helmets, the safety helmet recognition system will capture and store them at the first time, and send out an alarm to remind them to deal with them.

If mine is helpful to you, remember to light it up, thank you!

1.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 monitoring area, alarm information can be displayed on the monitoring client interface, and alarm information can also be pushed to the mobile terminal.

3.All-weather operation, stable and reliable.

4.Alarm storage function.

The protective function of the safety helmet is to reduce the impact force and eliminate or reduce the injury to the human head when the operator is hit or squeezed by falling objects and hard objects from heights. In the impact process, from the moment when the falling object touches the head to the moment when the falling object leaves the shell, the various parts of the helmet (cap shell, cap lining, socket, leash, cushion, etc.) first decompose the impact force, and then absorb most of the impact force through the deformation of each part, so that the impact force that finally acts on the human head is weakened, so as to play a protective role.

First of all, it is a responsibility, an image. When we wear the helmet correctly, there are two kinds of feelings, one is to feel heavy, and the other is to feel restricted. The heavy safety helmet reminds every construction employee that safety is a responsibility, and we must pay attention to strengthening safety production management, restrain and warn every person who enters the site, safety for me, I want safety, don't take risks, don't be brutal.

The second is a kind of sign. You can see different colors of hard hats on site, don't think that hard hats can be worn casually. The general construction site is divided into:

Production workers should wear white helmets, electricians should wear blue helmets, managers should wear yellow helmets, and leaders, contractor leaders, owners, and supervisors should wear red helmets.

The third is a kind of safety protection equipment. It mainly protects the head, prevents high-altitude objects from falling, and prevents objects from hitting and colliding. The protective effect of the helmet is:

When the operator is hit or squeezed by falling objects from heights or hard objects, the impact force is reduced to eliminate or reduce the injury to the human head. In the impact process, from the moment when the falling object touches the head to the moment when the falling object leaves the shell, the various parts of the helmet (cap shell, cap lining, socket, leash, cushion, etc.) first decompose the impact force, and then absorb most of the impact force through the deformation of each part, so that the impact force that finally acts on the human head is weakened, so as to play a protective role.