CN110633276A - Armed escort safety early warning system and method based on big data and image recognition - Google Patents
Armed escort safety early warning system and method based on big data and image recognition Download PDFInfo
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Abstract
The invention discloses a armed escort safety early warning system based on big data and image recognition, which comprises a data acquisition module, a data storage and retrieval module and a global monitoring module, wherein the data acquisition module is used for acquiring data of a military outfit; the data acquisition module, the data storage and retrieval module and the global monitoring module are in communication connection respectively, the data acquisition template comprises a plurality of data acquisition ports, and acquired data comprise vehicle basic information, personnel basic information, gun information and the like; the data storage and retrieval module stores and analyzes the collected data, and the global monitoring module monitors escorted people, vehicles, gun information and other data.
Description
Technical Field
The invention belongs to the technical field of armed escort, and particularly relates to an armed escort safety early warning system and method based on big data and image recognition.
Background
In recent years, the security industry is promoted to enter a big data era by the rapid development of the industries such as security and armed escort, and the like through large integration and large networking. At present, the labor cost is higher and higher, the big data is scientifically and reasonably applied, the labor expenditure is reduced, strong data support can be provided for various industries including security and armed escort enterprises, directions and guidance are provided for enterprise operation, and a plurality of problems still exist in the armed escort industry on the whole.
Firstly, the armed escort industry does not have a data set warehousing system with integral planning, data are scattered in data storage applied by various departments of an enterprise, and complex business connection relations exist among the data, so that the armed escort industry is as a huge spider web as a whole: the structure is complicated, but the four directions are eight. The single service is convenient to use, flexible and changeable in enterprise-level data application; however, a series of problems exist when cross-business and multi-department combined application is involved:
(1) the data sources are diversified, and the management decision data is too dispersed;
(2) data lack standards, difficult to integrate;
(3) the data apertures are not uniform, and the reliability is low;
(4) and a data management and control system is lacked, and the data quality is difficult to ensure.
Secondly, the escort work is a key link of the bank safety operation and is related to the normal operation and the fund safety of each business outlet of the bank. The escort handover area is usually in the cash area of the business network, the cash area is the core area of the security precaution of the business network, the cash area linkage door is the door of the life of the staff, and only the qualified staff can enter the cash area after being checked. In addition, along with the great advance of escort outsourcing, the financial industry escort outsourcing rate exceeds 96%, and outsourcing service personnel, bank note transport service vehicle often have strong randomness, mobility big, only rely on traditional artifical comparison escort personnel's mode to have been unable to practically implement the authentication work of bank note transport handing-over link effectively. Because the identity authentication is manually compared, the problems of inexistence, unnormality, falling into forms and the like sometimes occur, and certain hidden danger is brought to escort handover work. Therefore, the financial industry urgently needs to strengthen the identity authentication work of the escort handing-over link, and the electronic identity authentication system is used to effectively identify escort personnel and handing-over personnel and improve the safety of the escort handing-over work.
Disclosure of Invention
The invention provides a armed escort safety early warning system and a armed escort safety early warning method based on big data and image recognition, and aims to solve the existing problems.
The armed escort safety early warning system based on big data and image recognition comprises a data acquisition module, a data storage and retrieval module and a global monitoring module; the data acquisition module, the data storage and retrieval module and the global monitoring module are in communication connection respectively, the data acquisition template comprises a plurality of data acquisition ports, and acquired data comprise vehicle basic information, personnel basic information, gun information and the like; the data storage and retrieval module stores and analyzes the collected data, and the global monitoring module monitors escorted people, vehicles, gun information and other data.
Preferably, the data acquisition module comprises a vehicle-mounted camera device and a vehicle-mounted data recording device, the vehicle-mounted camera device is used for shooting data inside and outside the vehicle body, and the vehicle-mounted data recording device is used for recording the position, the state, the speed, the direction, the running track and the like of the vehicle, which can be recorded by the vehicle-mounted equipment.
Preferably, the data acquisition module identifies the picture by adopting a convolutional neural network technology, and the acquisition end of the data acquisition module is completed by adopting an NB-IoT technology.
Preferably, the data storage and retrieval module stores data including basic data storage, text data storage, and log and historical data storage; the basic data storage comprises the storage by adopting a PostgreSQL database, the text data storage adopts the nosql technology, and the log and historical data storage adopts mongodb; the cache data is stored and queried using Redis.
Preferably, the data storage and retrieval module comprises a compression processing unit, wherein the compression processing unit encodes and stores data content parts in a dictionary mode, and each record only has video and picture file numbers; for the storage of the dictionary, a prefix compression mode is used; the effective data is stored in the index service in a mode of constructing an index, and fuzzy or conditional search is carried out through the elastic search.
Preferably, the data storage and retrieval module is subjected to data disaster tolerance processing, the data storage and retrieval module is set to be deployed as a dual-computer-room main-standby through an hbase cluster scheme, flow is automatically switched to a standby cluster after the main cluster fails, the hbase whole cluster can be degraded when the hbase whole cluster fails, the hbase whole cluster is synchronously written into the cache and the standby storage mongodb only, and data is written back into the hbase through a background asynchronous task after the cluster is recovered.
Preferably, the global monitoring module comprises an enterprise information monitoring module, an intelligent personnel monitoring module, a driving monitoring module, a gun management and control monitoring module and an early warning module; the enterprise information monitoring module monitors information such as stockholders, legal persons, enterprise registration capital, enterprise properties, enterprise scale, business scope, qualification information, security service licenses and the like of an enterprise; the intelligent personnel monitoring module collects and compares information of all personnel in escort operation, including graphic information of escort vehicle drivers, image information of the depositors, information of gun holding personnel, identity information of the employees, government and audition information, drivers' licenses, gun holding licenses, security guards and other information, and analyzes and compares the information with information in the database after acquiring the information; the intelligent personnel monitoring module also comprises a portable early warning device, the portable early warning device is in communication connection with the early warning module, the portable early warning device is provided with a voice output device, a GPS positioning device and a radio frequency reading device, the portable early warning device can be connected with the early warning module through the voice output device, and the portable early warning device and the early warning module can perform early warning mutually; the radio frequency reader can communicate with a tag on the firearm.
The driving monitoring module collects and compares basic information of the escort vehicle, including collecting and comparing the vehicle type, license plate number, sender number, vehicle body number, emission standard, qualification certificate, purchase time, annual audit time information and the like of the escort vehicle;
the basic information of the gun management and control monitoring module gun is collected and compared, and the gun management and control monitoring module gun comprises the steps of collecting and comparing basic information such as gun models, gun types, ammunition models, ammunition types, using units, gun magazine addresses and gun cabinet positions, and therefore safety of the gun in use is guaranteed.
Preferably, the gun magazine and the gun cabinet need to adopt an intelligent identification module, adopt a fingerprint or face identification mode, can intelligently identify entering personnel, gun taking personnel and handover personnel information, upload the characteristic information of the personnel related to the system in time, and provide early warning for the personnel who do not conform to the system in time.
Preferably, the gun management and control monitoring module comprises a gun identity electronic tag identification module, and the system uniformly carries out electronic identity marking on the gun.
The invention also provides a armed escort safety early warning method based on big data and image recognition;
(1) carrying out preliminary check on escort enterprise information, wherein the information comprises stockholders, legal persons, enterprise registered capital, enterprise properties, enterprise scale, business range, qualification information, security service licenses and the like of an enterprise, a two-stage architecture is adopted, all sub-branch companies enter a head office for management, and the head office uniformly registers;
(2) registering and comparing the information of the employees, escort vehicles and gun basic lines, wherein the information of the employees comprises escort vehicle drivers, bankers, gun holding personnel information, identity information of registered employees, government and audition information, drivers' licenses, gun holding licenses, security guards and the like; the basic information of the escorting vehicle comprises the vehicle type, the license plate number, the sender number, the vehicle body number, the emission standard, the qualification certificate, the purchase time, the annual audit time information and the like of the escorting vehicle; the basic information of the firearms comprises basic information such as the model of the firearms, the type of ammunition, the type of the ammunition, a using unit, the address of a cartridge magazine, the position of a gun cabinet and the like, and the basic information is collected and analyzed by a system to give an early warning in time;
(3) uploading escort personnel information, matched gun information, vehicle information and the like of the task to be executed before working for personnel with an escort task, automatically recording a face image at the joint of a gun and bullet library by adopting a face recognition module, and uploading a background to compare the face image with original data; if no personnel change information, the personnel information of the previous day is acquiescently uploaded during task distribution; armed guard personnel enter the gun magazine, the vehicle, the guard chamber and the vault of the guard enterprise in a management mode of application, uploading, auditing, and permission, perform face recognition and background information comparison through image recognition equipment in the site, and enter the area if the comparison is successful; the portable early warning device is worn by escorting personnel, the escorting personnel need to be carried along with people on posts, position information of the personnel is recorded, voice communication can be initiated with the system, a one-key warning function can be realized, the position information can be uploaded to the system through the Internet of things communication module, and related information is uploaded in real time through the automatic personnel identification module, the gun and the automatic vehicle identification module which are arranged at the gun-gun junction of the gun magazine, on a vehicle, in the garage guard room and in the vault, so that abnormal personnel in the system can be timely sent out for early warning to inform all levels of management centers;
(4) video monitoring cameras are arranged in the front of the escort vehicle, behind the escort vehicle, in a cab and in a cash box, the video storage can be local storage and central storage, and the vehicle-mounted equipment records the position, state, speed, direction, running track and the like of the vehicle and can remotely inquire and replay; displaying license plate numbers, real-time position information, vehicle speed and the like of selected companies, bases or vehicles on a map, marking the vehicles by red and green icons, displaying green in normal operation, and displaying red in operation alarm; the intelligent identification function of the personnel on the vehicle is supported, the attendance of the quantity and personnel on the vehicle is carried out through the face equipment, the attendance is transmitted back to the system through pictures and compared with an escort personnel warehouse, and early warning is timely provided for an irrelevant personnel system; automatically identifying an electronic identity tag of the gun entering the vehicle, and sending the gun and corresponding personnel identification module information to the system in real time;
(5) the gun magazine and the gun cabinet adopt intelligent identification modules, can adopt a fingerprint or face identification mode, can intelligently identify entering personnel, gun taking personnel and transfer personnel information, can upload the characteristic information of the personnel related to the system in time, and can give early warning to the personnel not conforming to the system in time; gun identity electronic tags are used for carrying out electronic identity marking on guns in a unified mode by a system, one gun is used for one electronic identity tag, and gun handover, cabinet entering and cabinet exiting, and vehicle loading and unloading are realized through a vehicle-mounted module, a personnel module, a gun magazine identification module and a warehouse keeper room handover module; when the communication between the electronic tag and the personnel positioning module is lost in the task execution process, early warning is sent out in time, when the information of personnel and guns is not compared by the vehicle-mounted positioning module within reasonable handover time, the early warning is sent out in time by the system, and the personnel on duty of the system can contact the personnel on duty in time; and in the non-task process, when the gun is not delivered and stored in a warehouse or is not put in a cabinet through the electrons, early warning is timely sent out.
Compared with the prior art, the invention has the beneficial effects that:
1. by adopting the advanced data storage technology in the IT field, the billion-level data storage is achieved, and the analysis and operation can be carried out in the memory when the data is not written into the hard disk.
2. The image recognition is carried out by using the convolutional neural network technology, and the detection of the object region is carried out by using a neural network model trained based on ImageNet (a computer vision system classification database), so that some regions which may be objects in a picture are given.
3. The front-end data acquisition work is completed by adopting an NB-IoT (narrowband Internet of things) technology, and long-term and efficient acquisition of the geographic positions of the vehicles and the firearms is ensured.
4. The GPU cluster service utilizes a brand-new mixed-precision instruction and can provide floating point operation performance of more than 20 trillion times per second for machine learning.
5. The system provides all-dimensional monitoring for important escort services such as people, vehicles and guns in armed escort, improves the security of the escort work, and greatly improves the guarantee coefficient.
6. Based on the image and face recognition technology of machine learning, the invention needs to ensure enough training samples on the basis of neural network algorithm, and ensures the recognition accuracy of the image and the face.
7. A large amount of front-end data collection, comprising: information such as GPS, personnel, guns and the like is completed by adopting NB-IoT (narrowband Internet of things) technology, so that the validity and timeliness of data are ensured, and powerful basic guarantee is provided for the whole system.
8. For data security technology, a security protection mechanism is established for a data processing system, and computer hardware, software and data are protected from being damaged, changed and leaked due to accidental and malicious reasons.
9. And a GPU cluster service based on an AI algorithm is established, so that better performance is provided for deep learning and other computing workloads.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a technical scheme that: a armed escort safety early warning system based on big data and image recognition comprises a data acquisition module, a data storage and retrieval module and a global monitoring module; the data acquisition module, the data storage and retrieval module and the global monitoring module are in communication connection respectively, the data acquisition template comprises a plurality of data acquisition ports, and acquired data comprise vehicle GPS information, personnel basic information, gun information and the like; the data storage and retrieval module stores and analyzes the collected data, and the global monitoring module monitors escorted people, vehicles, gun information and other data.
The data acquisition module comprises a vehicle-mounted camera device and a vehicle-mounted data recording device, the vehicle-mounted camera device is used for shooting data of all corners of a vehicle, such as the data of the vehicle, the data are installed in the front of the vehicle, the back of the vehicle, a cab and a cash box, and the vehicle-mounted data recording device is used for recording the position, the state, the speed, the direction, the running track and the like of the vehicle, which can be recorded by vehicle-mounted equipment.
In order to ensure the effectiveness and timeliness of the acquired data, the data acquisition module adopts a convolutional neural network technology to identify the picture, artificial neurons of the convolutional neural network technology can respond to peripheral units in a part of coverage range, and a neural network model trained based on ImageNet (a computer vision system classification database) is used for detecting object regions, so that some regions which may be objects in the picture are given,
then training is carried out by using a large amount of labeled data (escort person photos/vehicle photos), so that automatic judgment of whether the vehicle is a duty person or a duty vehicle can be achieved.
Similarly, convolutional neural networks for character recognition can be trained using a large amount of label data (letters or numbers) to automatically recognize which character is.
The acquisition end of the data acquisition module is completed by adopting NB-IoT (narrowband Internet of things) technology. The NB-IoT has the advantages of low power consumption, wide coverage, low cost, high capacity and the like, and can efficiently and accurately acquire data at low cost.
The data storage and retrieval module stores data including basic data, text data and log and historical data; the basic data storage comprises the storage by adopting a PostgreSQL database, which usually contains slightly smaller basic information data, the text data storage adopts the nosql technology for storage, and the log and historical data storage adopts mongodb for storage;
the cache data is stored and queried using Redis. Different data adopt different database management methods, so that the stored data is more stable, the data is more convenient and efficient to call at the later stage, the error rate of the data calling is reduced, and the data storage effect is better.
The postgreSQL is an object-relational database management system of free software with complete characteristics, and the nosql is a non-relational database; the mongodb is a database based on distributed file storage; the Redis is an open-source log-type and Key-Value database which is written by using ANSI C language, supports network, can be based on memory and can also be persistent.
The data storage and retrieval module comprises a compression processing unit, and the compression processing unit respectively uses different forms of compression technologies for different types of videos and images, and can support efficient query while only needing less capacity.
The compression processing unit encodes and stores the data content part by means of dictionary, and each record is only the video and picture file number. For the storage of the dictionary, a prefix compression mode is used, so that the space consumption of high-radix dimensionality is reduced.
The effective data is stored in the index service in a mode of constructing the effective data into an index, and fuzzy or conditional search is carried out through the elastic search, so that the second-level search experience is achieved.
The ElasticSearch is a Lucene-based search server. It provides a distributed multi-user capability full-text search engine.
In order to ensure the high efficiency and the safety of various measurement data, the data storage and retrieval module is subjected to data disaster recovery processing, namely the data storage and retrieval module is set to be deployed as a dual-computer-room main-standby through an hbase cluster scheme, the main cluster automatically switches flow to a standby cluster after a fault occurs, the hbase whole cluster can be degraded when the hbase whole cluster fails, synchronously only the hbase whole cluster is written into a cache and the standby storage mongodb, and data is written back into the hbase by a background asynchronous task after the cluster is recovered.
The HBase is a distributed, column-oriented open-ended database.
The global monitoring module comprises an enterprise information monitoring module, an intelligent personnel monitoring module, a driving monitoring module, a gun management and control monitoring module and an early warning module; the enterprise information monitoring module monitors information such as stockholders, legal persons, enterprise registered capital, enterprise properties, enterprise scale, business scope, qualification information, security service licenses and the like of enterprises, and ensures that the enterprises carry out pressure transportation operation under the condition of normal and legal conditions.
Personnel intelligent monitoring module collects and compares all personnel's information in the operation of escorting, including escorting vehicle driver graphical information, the image information of the person of money-giving, the information of the personnel of holding the rifle, the identity information of the personnel of working, the government and audition information, the driver's license, hold the rifle certificate, information such as security personnel's certificate is analyzed and is compared with the information in the database after the information acquisition, after information analysis and comparison, in time carry out the early warning to abnormal data, stop the no certificate to go on duty, the emergence of the condition such as no certificate holds the rifle and the certificate is inconsistent.
The intelligent personnel monitoring module also comprises a portable early warning device, the portable early warning device is in communication connection with the early warning module, the portable early warning device is provided with a voice output device, a GPS positioning device and a radio frequency reading device, the portable early warning device can be connected with the early warning module through the voice output device, and the portable early warning device and the early warning module can perform early warning mutually; can carry out accurate location to the personnel who wear portable early warning device through GPS positioner, radio frequency reading device can communicate the label on the gun.
The driving monitoring module collects and compares basic information of escort vehicles, including collecting and comparing vehicle types, license plate numbers, sender numbers, vehicle body numbers, emission standards, certificates, purchase time, annual audit time information and the like of the escort vehicles. Various information of the vehicle is collected in time so as to rapidly discover and solve vehicle faults and increase driving safety.
The basic information of the gun management and control monitoring module gun is collected and compared, and the gun management and control monitoring module gun comprises the steps of collecting and comparing basic information such as gun models, gun types, ammunition models, ammunition types, using units, gun magazine addresses and gun cabinet positions, and therefore safety of the gun in use is guaranteed.
The rifle magazine must adopt intelligent recognition module with the rifle cabinet, can adopt fingerprint or face identification's mode, but personnel, the personnel of getting rifle, handing-over personnel information that intelligent recognition got into in, in time upload system's relevant personnel's characteristic information, to with the system in not conform to personnel, in time propose the early warning.
Gun management and control monitoring module includes gun identity electronic tags identification module, and the system is unified carries out the electronic identity mark to gun, electronic identity tag of a rifle, and gun handing-over, go into the cabinet and go out the cabinet, get on and off the bus and realize that whole information uploads through on-vehicle module, personnel module, bullet storehouse identification module, guard room handing-over module, realizes the accurate location of gun flow.
The effect and the performance that this scheme can reach:
a. the distributed computing engine effectively solves the stability and robustness of the data warehouse by utilizing the Spark engine.
b. And the data consistency is ensured, and the data warehouse based on the big data platform ensures that the modification operation of the data meets the characteristics of consistency, durability, integrity, atomicity and the like.
c. The processing capability of the multi-type data provides the storage and quick retrieval capability for the structured data and the unstructured data.
d. And the data real-time computing capability realizes sharing of an engine and resources and processing of real-time data fusion through a Spark Streaming real-time computing framework.
e. The security and authority problems are guaranteed by the access control based on the LDAP protocol and the security authentication technology based on Kerberos.
f. The hybrid load is realized by using a Kubernets + Docker mode, all applications are containerized, and Kubernets provide resource scheduling and multi-tenant management, so that the hybrid load is more standardized and is convenient for unified deployment and operation and maintenance.
g. The micro-service architecture enables the system to automatically pack and package the application depending on the dependency, and greatly promotes the convenience of application migration.
h. In the aspect of system implementation, the whole data is quickly, conveniently and completely restored through a data automatic backup mechanism, the reliability is ensured, the data can be reliably acquired by verifying the RFID tags and the NB-IoT equipment, and the network data transmission can also reach related performance indexes so as to prove that the mode is reliable in the aspect of service support.
The invention provides a armed escort safety early warning method based on big data and image recognition, which comprises the following steps:
(1) carrying out preliminary check on escort enterprise information, wherein the information comprises stockholders, legal persons, enterprise registered capital, enterprise properties, enterprise scale, business range, qualification information, security service licenses and the like of an enterprise, a two-stage architecture is adopted, all sub-branch companies enter a head office for management, and the head office uniformly registers;
(2) registering and comparing the information of the employees, escort vehicles and gun basic lines, wherein the information of the employees comprises escort vehicle drivers, bankers, gun holding personnel information, identity information of registered employees, government and audition information, drivers' licenses, gun holding licenses, security guards and the like; the basic information of the escorting vehicle comprises the vehicle type, the license plate number, the sender number, the vehicle body number, the emission standard, the qualification certificate, the purchase time, the annual audit time information and the like of the escorting vehicle; the basic information of the firearms comprises basic information such as the model of the firearms, the type of ammunition, the type of the ammunition, a using unit, the address of a cartridge magazine, the position of a gun cabinet and the like, and the basic information is collected and analyzed by a system to give an early warning in time;
(3) uploading escort personnel information, matched gun information, vehicle information and the like of the task to be executed before working for personnel with an escort task, automatically recording a face image at the joint of a gun and bullet library by adopting a face recognition module, and uploading a background to compare the face image with original data; if no personnel change information, the personnel information of the previous day is acquiescently uploaded during task distribution; armed guard personnel enter the gun magazine, the vehicle, the guard chamber and the vault of the guard enterprise in a management mode of application, uploading, auditing, and permission, perform face recognition and background information comparison through image recognition equipment in the site, and enter the area if the comparison is successful; the portable early warning device is worn by escorting personnel, the escorting personnel need to carry along with the personnel on the post, the position information of the personnel is recorded, the personnel can initiate voice communication with the system, the one-key alarm function can be realized, the personnel can be uploaded to the system through the communication module of the internet of things, the portable early warning device supports the Bluetooth or RFID card reading function and can be communicated with the Bluetooth or RDIF tag of the gun in real time; the system uploads related information in real time through automatic identification modules of the guns and the vehicles, which are arranged at the joint of guns in a gun magazine, on the vehicles, in a garage keeper room and in a vault, and the automatic identification modules of the guns and the vehicles, and timely sends out early warning for abnormal personnel in the system to inform management centers at all levels;
(4) video monitoring cameras are arranged in the front of the escort vehicle, behind the escort vehicle, in a cab and in a cash box, the video storage can be local storage and central storage, and the vehicle-mounted equipment records the position, state, speed, direction, running track and the like of the vehicle and can remotely inquire and replay; displaying license plate numbers, real-time position information, vehicle speed and the like of selected companies, bases or vehicles on a map, marking the vehicles by red and green icons, displaying green in normal operation, and displaying red in operation alarm; the intelligent identification function of the personnel on the vehicle is supported, the attendance of the quantity and personnel on the vehicle is carried out through the face equipment, the attendance is transmitted back to the system through pictures and compared with an escort personnel warehouse, and early warning is timely provided for an irrelevant personnel system; and automatically identifying the electronic identity tag of the gun entering the vehicle, and sending the gun and the corresponding personnel identification module information to the system in real time. The functions of one-key alarming, overspeed alarming, personnel identification alarming and the like are supported, and when an emergency occurs, the emergency can be uploaded to a system through an alarming key; the vehicle speed is monitored and recorded in real time during escort driving, and when the vehicle is overspeed, an alarm can be popped up on the comprehensive supervision system to prompt a driver to decelerate.
The video storage needs to have an automatic covering function, the storage time is not less than 30 days, the video storage needs to have a backup storage function, two different storage media need to be supported, the backup storage time is not less than 7 days, and inquiry, playback, snapshot and the like can be carried out remotely and locally.
(5) The gun magazine and the gun cabinet adopt intelligent identification modules, can adopt a fingerprint or face identification mode, can intelligently identify entering personnel, gun taking personnel and transfer personnel information, can upload the characteristic information of the personnel related to the system in time, and can give early warning to the personnel not conforming to the system in time; gun identity electronic tags are used for carrying out electronic identity marking on guns in a unified mode through a system, one gun is used for one electronic identity tag, gun handover, cabinet entering and cabinet exiting, and loading and unloading are achieved through a vehicle-mounted module, a personnel module, a gun magazine identification module and a warehouse keeper room handover module, so that whole-process information uploading is achieved, and accurate positioning of gun processes is achieved; when the communication between the electronic tag and the personnel positioning module is lost in the task execution process, early warning is sent out in time, when the information of personnel and guns is not compared by the vehicle-mounted positioning module within reasonable handover time, the early warning is sent out in time by the system, and the personnel on duty of the system can contact the personnel on duty in time; and in the non-task process, when the gun is not delivered and stored in a warehouse or is not put in a cabinet through the electrons, early warning is timely sent out.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a safety precaution system is escorted in arm based on big data and image recognition which characterized in that: the system comprises a data acquisition module, a data storage and retrieval module and a global monitoring module; the data acquisition module, the data storage and retrieval module and the global monitoring module are in communication connection respectively, the data acquisition template comprises a plurality of data acquisition ports, and acquired data comprise vehicle basic information, personnel basic information, gun information and the like; the data storage and retrieval module stores and analyzes the collected data, and the global monitoring module monitors escorted people, vehicles, gun information and other data.
2. The armed escort security early warning system based on big data and image recognition, as claimed in claim 1, wherein: the data acquisition module comprises a vehicle-mounted camera device and a vehicle-mounted data recording device, the vehicle-mounted camera device is used for shooting data inside and outside the vehicle body, and the vehicle-mounted data recording device is used for recording the position, state, speed, direction, running track and the like of the vehicle, which can be recorded by vehicle-mounted equipment.
3. The armed escort safety precaution system based on big data and image recognition according to claim 1 or 2, characterized in that: the data acquisition module identifies the picture by adopting a convolutional neural network technology, and the acquisition end of the data acquisition module is completed by adopting an NB-IoT technology.
4. The armed escort safety precaution system based on big data and image recognition according to claim 1 or 2, characterized in that: the data storage and retrieval module stores data including basic data, text data and log and historical data; the basic data storage comprises the storage by adopting a PostgreSQL database, the text data storage adopts the nosql technology, and the log and historical data storage adopts mongodb; the cache data is stored and queried using Redis.
5. The armed escort security early warning system based on big data and image recognition, as claimed in claim 4, wherein: the data storage and retrieval module comprises a compression processing unit, the compression processing unit encodes and stores data content parts in a dictionary mode, and each record only has a video and picture file number; for the storage of the dictionary, a prefix compression mode is used; the effective data is stored in the index service in a mode of constructing an index, and fuzzy or conditional search is carried out through the elastic search.
6. The armed escort security early warning system based on big data and image recognition, as claimed in claim 5, wherein: the data disaster tolerance processing is carried out on the data storage and retrieval module, the data storage and retrieval module is set to be deployed as a dual-computer-room main-standby through an hbase cluster scheme, flow is automatically switched to a standby cluster after the main cluster fails, the hbase can be degraded when the whole cluster fails, the hbase is synchronously written into a cache and the standby storage mongodb only, and data are written back into the hbase through a background asynchronous task after the cluster is recovered.
7. The armed escort security precaution system based on big data and image recognition of one of claims 1, 2, 5, 6, characterized in that: the global monitoring module comprises an enterprise information monitoring module, an intelligent personnel monitoring module, a driving monitoring module, a gun management and control monitoring module and an early warning module; the enterprise information monitoring module monitors information such as stockholders, legal persons, enterprise registration capital, enterprise properties, enterprise scale, business scope, qualification information, security service licenses and the like of an enterprise; the intelligent personnel monitoring module collects and compares information of all personnel in escort operation, including graphic information of escort vehicle drivers, image information of the depositors, information of gun holding personnel, identity information of the employees, government and audition information, drivers' licenses, gun holding licenses, security guards and other information, and analyzes and compares the information with information in the database after acquiring the information; the intelligent personnel monitoring module also comprises a portable early warning device, the portable early warning device is in communication connection with the early warning module, the portable early warning device is provided with a voice output device, a GPS positioning device and a radio frequency reading device, the portable early warning device can be connected with the early warning module through the voice output device, and the portable early warning device and the early warning module can perform early warning mutually; the radio frequency reading device can communicate with a label on the gun, and the driving monitoring module collects and compares basic information of the escort vehicle, including the collection and comparison of the vehicle type, the license plate number, the sender number, the vehicle body number, the emission standard, the qualification certificate, the purchase time, the annual review time information and the like of the escort vehicle;
the basic information of the gun management and control monitoring module gun is collected and compared, and the gun management and control monitoring module gun comprises the steps of collecting and comparing basic information such as gun models, gun types, ammunition models, ammunition types, using units, gun magazine addresses and gun cabinet positions, and therefore safety of the gun in use is guaranteed.
8. The armed escort security early warning system based on big data and image recognition, as claimed in claim 7, wherein: the rifle magazine must adopt intelligent recognition module with the rifle cabinet, adopts fingerprint or face identification's mode, but personnel, the personnel's of getting rifle personnel, handing-over personnel information that intelligent recognition got into in, in time upload system's relevant personnel's characteristic information, to with the system in not conform to personnel, in time propose the early warning.
9. The armed escort security early warning system based on big data and image recognition, as claimed in claim 8, wherein: the gun management and control monitoring module comprises a gun identity electronic tag identification module, and the system uniformly carries out electronic identity marking on the gun.
10. An armed escort safety precaution method based on big data and image recognition based on the safety precaution system of one of claims 1, 2, 5, 6, 9; the method is characterized in that:
(1) carrying out preliminary check on escort enterprise information, wherein the information comprises stockholders, legal persons, enterprise registered capital, enterprise properties, enterprise scale, business range, qualification information, security service licenses and the like of an enterprise, a two-stage architecture is adopted, all sub-branch companies enter a head office for management, and the head office uniformly registers;
(2) registering and comparing the information of the employees, escort vehicles and gun basic lines, wherein the information of the employees comprises escort vehicle drivers, bankers, gun holding personnel information, identity information of registered employees, government and audition information, drivers' licenses, gun holding licenses, security guards and the like; the basic information of the escorting vehicle comprises the vehicle type, the license plate number, the sender number, the vehicle body number, the emission standard, the qualification certificate, the purchase time, the annual audit time information and the like of the escorting vehicle; the basic information of the firearms comprises basic information such as the model of the firearms, the type of ammunition, the type of the ammunition, a using unit, the address of a cartridge magazine, the position of a gun cabinet and the like, and the basic information is collected and analyzed by a system to give an early warning in time;
(3) uploading escort personnel information, matched gun information, vehicle information and the like of the task to be executed before working for personnel with an escort task, automatically recording a face image at the joint of a gun and bullet library by adopting a face recognition module, and uploading a background to compare the face image with original data; if no personnel change information, the personnel information of the previous day is acquiescently uploaded during task distribution; armed guard personnel enter the gun magazine, the vehicle, the guard chamber and the vault of the guard enterprise in a management mode of application, uploading, auditing, and permission, perform face recognition and background information comparison through image recognition equipment in the site, and enter the area if the comparison is successful; the portable early warning device is worn by escorting personnel, the escorting personnel need to be carried along with people on posts, position information of the personnel is recorded, voice communication can be initiated with the system, a one-key warning function can be realized, the position information can be uploaded to the system through the Internet of things communication module, and related information is uploaded in real time through the automatic personnel identification module, the gun and the automatic vehicle identification module which are arranged at the gun-gun junction of the gun magazine, on a vehicle, in the garage guard room and in the vault, so that abnormal personnel in the system can be timely sent out for early warning to inform all levels of management centers;
(4) video monitoring cameras are arranged in the front of the escort vehicle, behind the escort vehicle, in a cab and in a cash box, the video storage can be local storage and central storage, and the vehicle-mounted equipment records the position, state, speed, direction, running track and the like of the vehicle and can remotely inquire and replay; displaying license plate numbers, real-time position information, vehicle speed and the like of selected companies, bases or vehicles on a map, marking the vehicles by red and green icons, displaying green in normal operation, and displaying red in operation alarm; the intelligent identification function of the personnel on the vehicle is supported, the attendance of the quantity and personnel on the vehicle is carried out through the face equipment, the attendance is transmitted back to the system through pictures and compared with an escort personnel warehouse, and early warning is timely provided for an irrelevant personnel system; automatically identifying an electronic identity tag of the gun entering the vehicle, and sending the gun and corresponding personnel identification module information to the system in real time;
(5) the gun magazine and the gun cabinet adopt intelligent identification modules, can adopt a fingerprint or face identification mode, can intelligently identify entering personnel, gun taking personnel and transfer personnel information, can upload the characteristic information of the personnel related to the system in time, and can give early warning to the personnel not conforming to the system in time; gun identity electronic tags are used for carrying out electronic identity marking on guns in a unified mode by a system, one gun is used for one electronic identity tag, and gun handover, cabinet entering and cabinet exiting, and vehicle loading and unloading are realized through a vehicle-mounted module, a personnel module, a gun magazine identification module and a warehouse keeper room handover module; when the communication between the electronic tag and the personnel positioning module is lost in the task execution process, early warning is sent out in time, when the information of personnel and guns is not compared by the vehicle-mounted positioning module within reasonable handover time, the early warning is sent out in time by the system, and the personnel on duty of the system can contact the personnel on duty in time; and in the non-task process, when the gun is not delivered and stored in a warehouse or is not put in a cabinet through the electrons, early warning is timely sent out.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116706A (en) * | 2020-09-23 | 2020-12-22 | 深圳先进技术研究院 | Gun and parts three-dimensional model database establishing method and database system |
| CN112533148A (en) * | 2020-11-26 | 2021-03-19 | 深圳北斗通信科技有限公司 | Gun positioning method, system and storage medium in financial escort process |
| CN112988114A (en) * | 2021-03-12 | 2021-06-18 | 中国科学院自动化研究所 | GPU-based large number computing system |
| CN113449592A (en) * | 2021-05-18 | 2021-09-28 | 浙江大华技术股份有限公司 | Escort task detection method, escort task detection system, electronic device and storage medium |
| CN115545624A (en) * | 2022-12-01 | 2022-12-30 | 金税信息技术服务股份有限公司 | Cabinet entering processing method and device |
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2019
- 2019-08-07 CN CN201910725003.4A patent/CN110633276A/en not_active Withdrawn
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112116706A (en) * | 2020-09-23 | 2020-12-22 | 深圳先进技术研究院 | Gun and parts three-dimensional model database establishing method and database system |
| WO2022062135A1 (en) * | 2020-09-23 | 2022-03-31 | 深圳先进技术研究院 | Method for establishing three-dimensional model database of firearms and spare parts, and database system |
| CN112533148A (en) * | 2020-11-26 | 2021-03-19 | 深圳北斗通信科技有限公司 | Gun positioning method, system and storage medium in financial escort process |
| CN112988114A (en) * | 2021-03-12 | 2021-06-18 | 中国科学院自动化研究所 | GPU-based large number computing system |
| CN112988114B (en) * | 2021-03-12 | 2022-04-12 | 中国科学院自动化研究所 | GPU-based large number computing system |
| CN113449592A (en) * | 2021-05-18 | 2021-09-28 | 浙江大华技术股份有限公司 | Escort task detection method, escort task detection system, electronic device and storage medium |
| CN115545624A (en) * | 2022-12-01 | 2022-12-30 | 金税信息技术服务股份有限公司 | Cabinet entering processing method and device |
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