Security identification system based on artificial intelligence

Abstract

The invention relates to the technical field of security identification systems, and discloses an artificial intelligence-based security identification system, which comprises a security identification monitoring platform and a plurality of security identification monitoring nodes, and is characterized in that the plurality of security identification monitoring nodes are distributed at different positions of an operation site; each of the plurality of security identification monitoring nodes comprises a mobile monitoring ball, a voice alarm prompter and an environment monitoring unit. According to the invention, operators are monitored in real time by moving the monitoring ball, whether the operators wear safety helmets and safety belts or not is monitored, if the operators are monitored not to wear safety helmets or safety belts according to operation requirements, the face images and personal information of all the operators are retrieved and compared, and after matching succeeds, the safety helmet or safety belt is monitored. The voice alarm prompter broadcasts the name, the job number and the job type of an operator to remind the operator, so that the operator who does not wear a safety belt or a safety helmet on a working site can be monitored and automatically identified, and the operator is effectively protected.

Description

Technical Field

[0001] The present invention relates to the technical field of security identification systems, and more specifically to a security identification system based on artificial intelligence. Background Art

[0002] Production safety issues in accident-prone industries such as steel, petroleum, chemical, and electric power are particularly valued by the government and enterprises. According to historical accident statistics, a large part of accidents can be avoided, and they are entirely caused by unsafe human behavior. Therefore, workers are required to wear safety equipment, especially safety helmets and safety belts, at the work sites of these industries to reduce the occurrence of safety accidents. Safety belts and safety helmets, as the most common and practical personal protective equipment, can effectively protect workers. However, during on-site operations, safety belts and safety helmets are easily ignored by humans, causing many personal injury accidents. In order to ensure that workers can wear safety belts and safety helmets correctly during operations and ensure the safety of workers, the present invention provides a safety identification system based on artificial intelligence. Summary of the invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a security identification system based on artificial intelligence to solve the problems existing in the above-mentioned background technology.

[0004] The present invention provides the following technical solutions: a security identification system based on artificial intelligence, including a security identification monitoring platform and multiple security identification monitoring nodes, the multiple security identification monitoring nodes are distributed at different positions of the work site, the multiple security identification monitoring nodes all include a mobile control ball, a voice alarm prompter and an environmental monitoring unit, the mobile control ball is internally provided with a human body recognition module, an image processing module, a control chip, a personal information retrieval module, a face matching recognition module and an information transmission module, the security identification monitoring platform includes a personal information storage unit, a monitoring terminal display unit, a video storage unit and a unit for recording whether an individual is not wearing a safety belt and a safety helmet.

[0005] Furthermore, the personal information storage unit includes a face collection and entry module, a personal identity information entry module and an information storage module. The face collection and entry module is used to collect facial information of the operating personnel, the personal information entry module is used to enter the personal information of the operating personnel, such as name, work number, type of work and other information, and the information storage module is used to store the information of the operating personnel.

[0006] Furthermore, the mobile control ball is used to monitor the work site, workers, and materials. When monitoring is performed through the mobile control ball, a human body recognition module is used to identify human portraits and distinguish between workers and work sites.

[0007] Furthermore, the image processing module includes a safety helmet monitoring and analysis unit, a safety belt monitoring and analysis unit, and a fireworks monitoring and identification unit. The image processing module is used to process and analyze the images monitored by the mobile control ball. The safety helmet monitoring and analysis unit and the safety belt monitoring and analysis unit are used to monitor whether the workers wear safety helmets or safety belts in accordance with the work requirements.

[0008] Furthermore, the mobile control ball is connected with the safety identification monitoring platform and the voice alarm prompter through the signal transmission module. The mobile control ball can transmit the monitoring video data to the safety identification monitoring platform. The administrator can view the on-site operation status in real time through the safety identification monitoring platform. The safety helmet monitoring and analysis unit and the safety belt monitoring and analysis unit of the image processing module detect that if any operator fails to wear a safety helmet or safety belt according to the operation requirements, the personal information retrieval unit retrieves the facial images and personal information of all operators in the personal information storage unit, and then the face matching recognition module is used to compare and match the operators who do not wear safety helmets or safety belts with the facial images of all operators one by one. After the match is successful, the personal information is transmitted to the safety identification monitoring platform and the voice alarm prompter through the information transmission module.

[0009] Furthermore, the voice alarm prompter includes an intelligent voice broadcast module, a diode light-emitting module, and a signal receiving module. When the voice alarm prompter receives information transmitted by the information transmission module, the voice alarm prompter broadcasts the name, work number and job type of the operator who is not wearing a safety helmet or a safety belt through the intelligent voice broadcast module to remind the operator.

[0010] Furthermore, the individual failure to wear a safety belt and a safety helmet recording unit includes a statistical module and an information recording and storage module. When the mobile control ball transmits the personal information of not wearing a safety helmet or a safety belt as required by the operation to the safety identification and monitoring platform, the number of times the individual fails to wear a safety belt or a safety helmet is recorded through the individual failure to wear a safety belt and a safety helmet recording unit, which is convenient for management personnel to review and subsequently manage.

[0011] Furthermore, the environmental monitoring unit includes an air quality sensor, an oxygen content sensor, a smoke sensor, a signal sensor and an audible and visual alarm. The air quality sensor, oxygen content sensor and smoke sensor are all signal-connected to the signal sensor, and the signal sensor is signal-connected to the audible and visual alarm. If the air quality at the monitored work site is poor, the oxygen content is low, or a smoke alarm occurs, the audible and visual alarm can generate an alarm tone to remind the workers at the site.

[0012] Furthermore, the monitoring terminal display unit is used to display the video monitored by the mobile control ball, and the video storage unit is used to store the monitoring video, so that the management personnel can play back the monitoring video.

[0013] Technical effects and advantages of the present invention:

[0014] 1. The present invention inputs the personal information of the workers through the personal information storage unit, and monitors the workers in real time by arranging multiple mobile control balls at different positions in the work site, and monitors whether the workers are wearing safety helmets and safety belts. If it is detected that the workers do not wear safety helmets or safety belts according to the work requirements, the personal information retrieval unit retrieves all the facial images and personal information of the workers in the personal information storage unit and compares them. After the match is successful, the information is transmitted to the safety identification monitoring platform and the voice alarm prompter, the workers are reminded through the voice alarm prompt, and the name, work number and job type of the workers are broadcast, so that it is convenient to monitor and automatically identify the personnel who are not wearing safety belts and safety helmets at the work site, and effectively protect the workers.

[0015] 2. When the mobile control ball transmits the personal information of the individual who fails to wear the safety helmet or safety belt according to the operation requirements to the safety identification monitoring platform, the present invention records the number of times the individual fails to wear the safety belt or safety helmet through the individual failure to wear the safety belt and safety helmet recording unit, so as to facilitate the management personnel to check and conduct subsequent management.

[0016] 3. The present invention monitors the work site through air quality sensors, oxygen content sensors and smoke sensors. If the air quality at the work site is poor, the oxygen content is low or a smoke alarm occurs, an audible and visual alarm can be used to generate an alarm tone to remind the workers on site, thereby effectively protecting the workers. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is the overall module diagram of the present invention.

[0018] Figure 2 This is a module diagram of the security identification and monitoring platform of the present invention.

[0019] Figure 3 This is a diagram of the mobile control ball module of the present invention.

[0020] Figure 4 This is a module diagram of the environmental monitoring unit of the present invention. DETAILED DESCRIPTION

[0021] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are merely illustrative. The artificial intelligence-based security identification system involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0022] Embodiment 1:

[0023] like Figure 1-4 As shown, an artificial intelligence-based security identification system includes a security identification monitoring platform and multiple security identification monitoring nodes, the multiple security identification monitoring nodes are distributed at different locations of the work site, the multiple security identification monitoring nodes all include a mobile control ball, a voice alarm prompter and an environmental monitoring unit, the mobile control ball is internally provided with a human recognition module, an image processing module, a control chip, a personal information retrieval module, a face matching recognition module and an information transmission module, the security identification monitoring platform includes a personal information storage unit, a monitoring terminal display unit, a video storage unit and a personal safety belt and helmet recording unit, the personal information storage unit includes a face collection and entry module, a personal identity information entry module and an information storage module, the face collection and entry module is used to collect facial information of the operator, the personal information entry module is used to enter the personal information of the operator, such as name, work number, type of work and other information, and the information storage module is used to store the information of the operator.

[0024] In this embodiment, the facial information of the workers is collected through the face collection and entry module, and the personal information entry module is used to enter the personal information of the workers, such as name, work number, job type, etc., to facilitate the subsequent monitoring and identification of the workers through the mobile control ball, and then facilitate the management of the workers.

[0025] Embodiment 2:

[0026] like Figure 1-4As shown, the mobile control ball is used to monitor the work site, workers and materials. When monitoring through the mobile control ball, the human body recognition module is used to identify the human portrait and distinguish the workers from the work site. The image processing module includes a safety helmet monitoring and analysis unit, a safety belt monitoring and analysis unit and a fireworks monitoring and identification unit. The image processing module is used to process and analyze the images monitored by the mobile control ball. The safety helmet monitoring and analysis unit and the safety belt monitoring and analysis unit are used to monitor whether the workers wear safety helmets or safety belts according to the work requirements. The mobile control ball is connected with the safety identification monitoring platform and the voice alarm prompter through the signal transmission module. The mobile control ball can transmit the monitoring video data to the safety identification monitoring platform. The administrator can view the on-site operation status in real time through the safety identification monitoring platform. The safety helmet monitoring and analysis unit and the safety belt monitoring and analysis unit of the image processing module monitor If any worker fails to wear a safety helmet or safety belt as required by the operation, the facial images and personal information of all workers in the personal information storage unit are retrieved through the personal information retrieval unit, and then the worker who does not wear a safety helmet or safety belt is compared with the facial images of all workers one by one through the face matching recognition module. After a successful match, the personal information is transmitted to the safety identification monitoring platform and the voice alarm prompter through the information transmission module. The voice alarm prompter includes an intelligent voice broadcast module, a diode light emitting module, and a signal receiving module. When the voice alarm prompter receives the information transmitted by the information transmission module, the voice alarm prompter broadcasts the name, work number and type of work of the worker who does not wear a safety helmet or safety belt through the intelligent voice broadcast module to remind the worker, so as to facilitate the automatic monitoring and identification of personnel who do not wear safety belts and safety helmets at the operation site, and effectively protect the workers.

[0027] In this embodiment, when the work site, workers, and materials are monitored by a mobile control ball, human portrait recognition is performed through the human body recognition module, and the helmet detection and analysis unit of the image processing module is used to monitor and analyze whether the workers are wearing helmets, and the safety belt monitoring and analysis unit is used to monitor and analyze whether the workers are wearing safety belts. If it is detected that the workers do not wear helmets or safety belts according to the work requirements, the personal information retrieval unit retrieves all the facial images and personal information of the workers in the personal information storage unit, and then the face matching recognition module is used to compare and match the workers who do not wear helmets or safety belts with the facial images of all workers. After the match is successful, the information is transmitted to the safety identification monitoring platform and the voice alarm prompter through the information transmission module. When the voice alarm prompter receives the information transmitted by the information transmission module, the voice alarm prompter broadcasts the name, work number and type of work of the workers who do not wear helmets or safety belts through the intelligent voice broadcast module, and uses the diode light-emitting module to generate warning light to remind the workers, so that it is convenient to monitor and automatically identify the personnel who do not wear safety belts and helmets at the work site, and effectively protect the workers.

[0028] Embodiment three:

[0029] like Figure 1-4 As shown, the individual safety belt and safety helmet failure recording unit includes a statistical module and an information recording and storage module. When the mobile control ball transmits the personal information of not wearing a safety helmet or safety belt according to the work requirements to the safety identification monitoring platform, the number of times the individual does not wear a safety belt or safety helmet is recorded through the individual safety belt and safety helmet failure recording unit, which is convenient for management personnel to review and subsequent management. The monitoring terminal display unit is used to display the video monitored by the mobile control ball, and the video storage unit is used to store the monitoring video, which is convenient for management personnel to play back the monitoring video.

[0030] In this embodiment, when the mobile control ball transmits the personal information of the individual who fails to wear a safety helmet or a safety belt as required by the operation to the safety identification monitoring platform, the statistical module of the individual's failure to wear a safety belt and a safety helmet recording unit records the number of times the individual fails to wear a safety belt or a safety helmet, and the data is counted through the information recording and storage module, making it convenient for management personnel to review and subsequently manage.

[0031] Embodiment 4:

[0032] like Figure 1-4As shown, the environmental monitoring unit includes an air quality sensor, an oxygen content sensor, a smoke sensor, a signal sensor and an audible and visual alarm. The air quality sensor, the oxygen content sensor and the smoke sensor are all signal-connected to the signal sensor, and the signal sensor is signal-connected to the audible and visual alarm. If the air quality at the monitored work site is poor, the oxygen content is low, or a smoke alarm occurs, the audible and visual alarm can generate an alarm tone to remind the workers at the site.

[0033] In this embodiment, the air quality sensor is used to monitor the temperature, humidity, air pressure, light, PM2.5, PM10, TVOC and other values ​​in the air at the work site, as well as the concentrations of gases such as carbon dioxide, carbon monoxide, and formaldehyde. If the air quality does not meet the standard, the air quality sensor sends a signal to the signal sensor, and the signal sensor controls the sound and light alarm to generate an alarm prompt sound to remind the workers on site. The oxygen content sensor and the smoke sensor are used to monitor the oxygen content and smoke conditions at the work site. When the oxygen content is low or a smoke alarm occurs, the sound and light alarm can be used in the same way to generate an alarm prompt sound to remind the workers on site.

[0034] In summary, if Figure 1-4As shown, this artificial intelligence-based security identification system, when in use, collects the facial information of the operator through the face collection and entry module of the personal information storage unit, and then enters the personal information of the operator, such as name, work number, type of work, etc., through the personal information entry module, and arranges multiple mobile control balls at different positions in the work site to monitor the operators in real time, and transmits the monitored video data to the security identification monitoring platform. The administrator can view the on-site operation situation in real time through the security identification monitoring platform. At this time, the video image monitored by the mobile control ball is analyzed and processed by the image processing module, and the helmet monitoring and analysis unit and the safety belt monitoring and analysis unit are used to monitor and analyze whether the operators are wearing safety belts and helmets. If an operator fails to wear a safety helmet or safety belt according to the operation requirements, the personal information retrieval unit will retrieve the information. The facial images and personal information of all workers in the personal information storage unit are then compared one by one with the facial images of all workers through the face matching recognition module. After a successful match, the personal information is transmitted to the safety identification monitoring platform and the voice alarm prompter through the information transmission module. When the voice alarm prompt receives the information transmitted by the information transmission module, the voice alarm prompt broadcasts the name, work number and type of work of the worker who does not wear a safety helmet or safety belt through the intelligent voice broadcast module to remind the worker. At the same time, when the mobile control ball transmits the personal information of the worker who does not wear a safety helmet or safety belt according to the work requirements to the safety identification monitoring platform, the number of times the individual does not wear a safety belt or safety helmet is recorded through the personal failure to wear a safety belt and safety helmet recording unit, which is convenient for management personnel to review and subsequent management.

[0035] Finally, a few points should be explained: First, in the description of this application, it should be noted that, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, which may refer to mechanical connection or electrical connection, or internal communication between two components, or direct connection. "upper", "lower", "left", "right", etc. are only used to indicate relative positional relationships. When the absolute position of the object being described changes, the relative positional relationship may change;

[0036] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0037] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A security identification system based on artificial intelligence, comprising a security identification monitoring platform and a plurality of security identification monitoring nodes, characterized in that: The multiple safety identification and monitoring nodes are distributed at different locations of the work site, and the multiple safety identification and monitoring nodes all include a mobile control ball, a voice alarm prompter and an environmental monitoring unit. The mobile control ball is internally provided with a human body recognition module, an image processing module, a control chip, a personal information retrieval module, a face matching recognition module and an information transmission module. The safety identification and monitoring platform includes a personal information storage unit, a monitoring terminal display unit, a video storage unit and a unit for recording individuals not wearing safety belts and safety helmets.

2. The artificial intelligence-based security identification system according to claim 1, characterized in that: The personal information storage unit includes a face collection and entry module, a personal identity information entry module and an information storage module. The face collection and entry module is used to collect the facial information of the operating personnel, the personal information entry module is used to enter the personal information of the operating personnel, such as name, work number, type of work and other information, and the information storage module is used to store the information of the operating personnel.

3. The artificial intelligence-based security identification system according to claim 1, characterized in that: The mobile control ball is used to monitor the work site, workers, and materials. When monitoring is performed through the mobile control ball, a human body recognition module is used to identify human portraits and distinguish between workers and work sites.

4. The artificial intelligence-based security identification system according to claim 1, characterized in that: The image processing module includes a safety helmet monitoring and analysis unit, a safety belt monitoring and analysis unit and a fireworks monitoring and identification unit. The image processing module is used to process and analyze the images monitored by the mobile control ball. The safety helmet monitoring and analysis unit and the safety belt monitoring and analysis unit are used to monitor whether the workers wear safety helmets or safety belts in accordance with the work requirements.

5. The artificial intelligence-based security identification system according to claim 1, characterized in that: The mobile control ball is connected to the safety identification monitoring platform and the voice alarm prompter through the signal transmission module. The mobile control ball can transmit the monitoring video data to the safety identification monitoring platform. The administrator can view the on-site operation status in real time through the safety identification monitoring platform. The safety helmet monitoring and analysis unit and the safety belt monitoring and analysis unit of the image processing module detect that if any operator fails to wear a safety helmet or safety belt according to the operation requirements, the personal information retrieval unit retrieves the facial images and personal information of all operators in the personal information storage unit, and then the face matching recognition module compares the operators who do not wear safety helmets or safety belts with the facial images of all operators one by one. After the match is successful, the personal information is transmitted to the safety identification monitoring platform and the voice alarm prompter through the information transmission module.

6. The artificial intelligence-based security identification system according to claim 1, characterized in that: The voice alarm prompter includes an intelligent voice broadcast module, a diode light emitting module, and a signal receiving module. When the voice alarm prompter receives information transmitted by the information transmission module, the voice alarm prompter broadcasts the name, work number and type of work of the operator who is not wearing a safety helmet or a safety belt through the intelligent voice broadcast module to remind the operator.

7. The artificial intelligence-based security identification system according to claim 1, characterized in that: The individual failure to wear a safety belt and a safety helmet recording unit includes a statistical module and an information recording and storage module. When the mobile control ball transmits the personal information of the individual who fails to wear a safety helmet or a safety belt according to the work requirements to the safety identification and monitoring platform, the individual failure to wear a safety belt and a safety helmet recording unit records the number of times the individual fails to wear a safety belt or a safety helmet, which is convenient for management personnel to review and subsequent management.

8. The artificial intelligence-based security identification system according to claim 1, characterized in that: The environmental monitoring unit includes an air quality sensor, an oxygen content sensor, a smoke sensor, a signal sensor and an audible and visual alarm. The air quality sensor, oxygen content sensor and smoke sensor are all signal-connected to the signal sensor, and the signal sensor is signal-connected to the audible and visual alarm. If the air quality at the monitored work site is poor, the oxygen content is low, or a smoke alarm occurs, the audible and visual alarm can generate an alarm tone to remind the workers at the site.

9. The artificial intelligence-based security identification system according to claim 1, characterized in that: The monitoring terminal display unit is used to display the video monitored by the mobile control ball, and the video storage unit is used to store the monitoring video, so that the management personnel can play back the monitoring video.

Images