[go: up one dir, main page]

WO2018161218A1 - Procédé et système de recommandation de séquençage de mégadonnées avec un système de surveillance - Google Patents

Procédé et système de recommandation de séquençage de mégadonnées avec un système de surveillance Download PDF

Info

Publication number
WO2018161218A1
WO2018161218A1 PCT/CN2017/075766 CN2017075766W WO2018161218A1 WO 2018161218 A1 WO2018161218 A1 WO 2018161218A1 CN 2017075766 W CN2017075766 W CN 2017075766W WO 2018161218 A1 WO2018161218 A1 WO 2018161218A1
Authority
WO
WIPO (PCT)
Prior art keywords
monitoring system
monitoring
character
big data
character information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2017/075766
Other languages
English (en)
Chinese (zh)
Inventor
马岩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Boxinnuoda Economic Relations & Trade Consultants Co Ltd
Original Assignee
Shenzhen Boxinnuoda Economic Relations & Trade Consultants Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Boxinnuoda Economic Relations & Trade Consultants Co Ltd filed Critical Shenzhen Boxinnuoda Economic Relations & Trade Consultants Co Ltd
Priority to PCT/CN2017/075766 priority Critical patent/WO2018161218A1/fr
Publication of WO2018161218A1 publication Critical patent/WO2018161218A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the present invention relates to the field of monitoring, and in particular, to a method and system for recommending big data sorting of a monitoring system.
  • the monitoring system consists of 5 parts: camera, transmission, control, display, and record registration.
  • the camera transmits the video image to the control host through the coaxial video cable, and the control host distributes the video signal to each monitor and recording device, and simultaneously records the voice signal to be transmitted into the recorder.
  • the operator can issue commands to control the up, down, left, and right movements of the pan/tilt and focus the zoom on the lens, and can be implemented in the multi-channel camera and the pan/tilt by the control host. Switch between. With special recording processing mode, images can be recorded, played back, processed, etc., so that the recording effect is optimal.
  • the big data video files of the existing monitoring system only have the storage function, and cannot be recommended to the user according to the situation, and the user experience is low.
  • the application provides a method for recommending big data ranking of a monitoring system. It solves the shortcomings of the prior art technical solutions.
  • a method for recommending a big data ranking of a monitoring system comprising the steps of: monitoring a system to extract character information in big data; and monitoring a system to compare the character information with an image of a wanted person of the public security system; monitoring When the system is consistent, the data corresponding to the character information is recommended to the monitoring party.
  • the method further includes:
  • the monitoring system sends an alarm message to the public security system, and the alarm message includes: a time interval of the character avatar and the character avatar.
  • the method further includes:
  • a big data ranking recommendation system for a monitoring system comprising:
  • a transceiver unit for extracting character information in big data
  • the processing unit is configured to compare the character information with the wanted character avatar of the public security system, and when the comparison is consistent, recommend the data corresponding to the character information to the monitoring party.
  • system further includes:
  • the transceiver unit is configured to send an alarm message to the public security system, where the alarm message includes: a time interval of the character avatar and the character avatar.
  • system further includes:
  • the processing unit is configured to recommend, to the prosecution party, all task video files of a section before the abnormality occurrence time, if an abnormal situation occurs within the scope of the monitoring system.
  • a monitoring system including: a processor, a wireless transceiver, a memory, and a bus, wherein the processor, the wireless transceiver, and the memory are connected by a bus.
  • the wireless transceiver is configured to extract character information in big data
  • the processor is configured to compare the character information with the wanted character avatar of the public security system, and when the comparison is consistent, recommend the data corresponding to the character information to the monitoring party.
  • the transceiver is configured to send an alarm message to the public security system, where the alarm message includes: a time interval of the character avatar and the character avatar.
  • the processor is configured to recommend, to the prosecution party, all task video files of a segment before the abnormal situation occurs, if an abnormal situation occurs in the monitoring system.
  • the technical solution provided by the present invention recommends a video file to a user according to a specific situation, so it has the advantage of improving user experience.
  • FIG. 1 is a flowchart of a method for recommending big data sorting of a monitoring system according to a first preferred embodiment of the present invention
  • FIG. 2 is a structural diagram of a big data sorting recommendation system of a monitoring system according to a second preferred embodiment of the present invention.
  • FIG. 3 is a hardware structural diagram of a monitoring system according to a second preferred embodiment of the present invention.
  • FIG. 1 is a method for recommending big data sorting of a monitoring system according to a first preferred embodiment of the present invention. The method is as shown in FIG. 1 and includes the following steps:
  • Step S101 The monitoring system extracts the character information in the big data.
  • Step S102 The monitoring system compares the character information with the wanted character of the public security system.
  • Step S103 The monitoring system recommends the data corresponding to the person information to the monitoring party when the comparison is consistent.
  • the technical solution provided by the present invention recommends a video file to a user according to a specific situation, so it has the advantage of improving user experience.
  • the monitoring system sends an alarm message to the public security system, where the alarm message includes: a time interval of the character avatar and the character avatar.
  • all videos of a segment before the abnormal time occurs are recommended to the user.
  • FIG. 2 is a big data sorting recommendation system of a monitoring system according to a second preferred embodiment of the present invention.
  • the system is as shown in FIG. 2, and includes:
  • the transceiver unit 201 is configured to extract character information in the big data
  • the processing unit 202 is configured to compare the person information with the wanted person avatar of the public security system, and when the comparison is consistent, recommend the data corresponding to the person information to the monitoring party.
  • the technical solution provided by the present invention recommends a video file to a user according to a specific situation, so it has the advantage of improving user experience.
  • the transceiver unit 201 is configured to send an alarm message to the public security system, where the alarm message includes: a time interval of the character avatar and the character avatar.
  • the processing unit 202 is configured to recommend, to the prosecution party, all the task video files of a segment before the abnormal situation occurs, if an abnormal situation occurs within the monitoring system.
  • FIG. 3 is a monitoring system 30, including: a processor 301, a wireless transceiver 302, a memory 303, and a bus 304.
  • the wireless transceiver 302 is configured to transmit and receive data with and from an external device.
  • the number of processors 301 can be one or more.
  • processor 301, memory 302, and transceiver 303 may be connected by bus 304 or other means.
  • Monitoring system 30 can be used to perform the steps of FIG. For the meaning and examples of the terms involved in the embodiment, reference may be made to the corresponding embodiment of FIG. 1. I will not repeat them here.
  • the wireless transceiver 302 is configured to extract character information in big data.
  • the program code is stored in the memory 303.
  • the processor 901 is configured to call the program code stored in the memory 903 for performing the following operations:
  • the processor 301 is configured to compare the person information with the wanted character avatar of the public security system, and when the comparison is consistent, recommend the data corresponding to the person information to the monitoring party.
  • the processor 301 herein may be a processing component or a general term of multiple processing components.
  • the processing element can be a central processor (Central) Processing Unit, CPU), or a specific integrated circuit (Application Specific Integrated) Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present application, such as one or more microprocessors (digital singnal Processor, DSP), or one or more Field Programmable Gate Arrays (FPGAs).
  • CPU central processor
  • ASIC Application Specific Integrated Circuit
  • DSP digital singnal Processor
  • FPGAs Field Programmable Gate Arrays
  • the memory 303 may be a storage device or a collective name of a plurality of storage elements, and is used to store executable program code or parameters, data, and the like required for the application running device to operate. And the memory 303 may include random access memory (RAM), and may also include non-volatile memory (non-volatile memory) Memory), such as disk storage, flash (Flash), etc.
  • RAM random access memory
  • non-volatile memory non-volatile memory
  • flash flash
  • Bus 304 can be an industry standard architecture (Industry Standard Architecture, ISA) bus, Peripheral Component (PCI) bus or extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 3, but it does not mean that there is only one bus or one type of bus.
  • the terminal may further include input and output means connected to the bus 304 for connection to other parts such as the processor 301 via the bus.
  • the input/output device can provide an input interface for the operator, so that the operator can select the control item through the input interface, and can also be other interfaces through which other devices can be externally connected.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.
  • ROM Read-Only Memory
  • RAM Random Access Memory

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Alarm Systems (AREA)

Abstract

La présente invention concerne un procédé de recommandation de séquençage de mégadonnées avec un système de surveillance. Le procédé comprend les étapes suivantes : un système de surveillance extrait des informations faciales à partir de mégadonnées ; le système de surveillance compare les informations faciales au portrait d'une personne recherchée dans un système de sécurité publique ; et lorsque le résultat de la comparaison retourne une correspondance le système de surveillance recommande les données correspondant aux informations faciales à un organisme de surveillance. La solution technique fournie dans la présente invention est avantageuse en ce qu'elle offre une bonne expérience d'utilisateur.
PCT/CN2017/075766 2017-03-06 2017-03-06 Procédé et système de recommandation de séquençage de mégadonnées avec un système de surveillance Ceased WO2018161218A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/075766 WO2018161218A1 (fr) 2017-03-06 2017-03-06 Procédé et système de recommandation de séquençage de mégadonnées avec un système de surveillance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/075766 WO2018161218A1 (fr) 2017-03-06 2017-03-06 Procédé et système de recommandation de séquençage de mégadonnées avec un système de surveillance

Publications (1)

Publication Number Publication Date
WO2018161218A1 true WO2018161218A1 (fr) 2018-09-13

Family

ID=63447183

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/075766 Ceased WO2018161218A1 (fr) 2017-03-06 2017-03-06 Procédé et système de recommandation de séquençage de mégadonnées avec un système de surveillance

Country Status (1)

Country Link
WO (1) WO2018161218A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101505412A (zh) * 2009-03-11 2009-08-12 上海伯里春贸易有限公司 宾馆、写字楼和娱乐场所人像采集识别监控系统及方法
CN102201061A (zh) * 2011-06-24 2011-09-28 常州锐驰电子科技有限公司 基于多阶层过滤人脸识别的智能安全监控系统及方法
CN105245836A (zh) * 2015-09-28 2016-01-13 深圳市澳亚迪电子设备有限公司 一种安检门监控系统
CN106448054A (zh) * 2016-11-29 2017-02-22 深圳市元征软件开发有限公司 乘车人员监控方法、路边系统及车载装置
CN106803941A (zh) * 2017-03-06 2017-06-06 深圳市博信诺达经贸咨询有限公司 监控系统的大数据排序推荐方法及系统

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101505412A (zh) * 2009-03-11 2009-08-12 上海伯里春贸易有限公司 宾馆、写字楼和娱乐场所人像采集识别监控系统及方法
CN102201061A (zh) * 2011-06-24 2011-09-28 常州锐驰电子科技有限公司 基于多阶层过滤人脸识别的智能安全监控系统及方法
CN105245836A (zh) * 2015-09-28 2016-01-13 深圳市澳亚迪电子设备有限公司 一种安检门监控系统
CN106448054A (zh) * 2016-11-29 2017-02-22 深圳市元征软件开发有限公司 乘车人员监控方法、路边系统及车载装置
CN106803941A (zh) * 2017-03-06 2017-06-06 深圳市博信诺达经贸咨询有限公司 监控系统的大数据排序推荐方法及系统

Similar Documents

Publication Publication Date Title
TWI465919B (zh) 採用雷霆介面之電子裝置、其連接方法及底座設備
WO2018223354A1 (fr) Procédé et système d'enregistrement de présence à base de positionnement
WO2018161218A1 (fr) Procédé et système de recommandation de séquençage de mégadonnées avec un système de surveillance
WO2018170684A1 (fr) Procédé et système de localisation de panne pour une plate-forme de surveillance en nuage
WO2018161219A1 (fr) Procédé et système de gestion des mégadonnées de vidéos de surveillance
WO2018170685A1 (fr) Procédé et système d'assemblage vidéo pour une plate-forme de surveillance en nuage
WO2018161342A1 (fr) Procédé et système d'élection pour système distribué de plate-forme de surveillance en nuage
US12231482B2 (en) Alternative screenshare provision
WO2018209549A1 (fr) Procédé et système de division d'intervalle vidéo de terminal
CN103973951B (zh) 一种支持两路语音对讲的网路摄像机
WO2024225864A1 (fr) Procédé et appareil de traitement de données
WO2018170683A1 (fr) Procédé et système d'attribution de tâches pour service en nuage dans un système de surveillance
WO2018161220A1 (fr) Procédé et système de distribution de tâche de regroupement de plateforme en nuage dans un système de surveillance
WO2018223375A1 (fr) Procédé et système de contrôle et de rappel de trafic de terminal
WO2018152669A1 (fr) Procédé et dispositif de contrôle de sécurité permettant une surveillance de sécurité
WO2018209586A1 (fr) Procédé et système de positionnement bluetooth
WO2018165837A1 (fr) Procédé et système pour recuperer des informations à partir d'un réseau
WO2018223346A1 (fr) Procédé et système de positionnement dans un partage de photographies
WO2018209548A1 (fr) Procédé et système de décodage vidéo de terminal
WO2018223345A1 (fr) Procédé et système anti-contrefaçon de produit à base de positionnement
WO2018209550A1 (fr) Procédé et système de mise à jour de système de terminal
WO2018223355A1 (fr) Procédé et système de mise en œuvre d'un positionnement de carte de jeu
WO2018223376A1 (fr) Procédé et système de commande de la luminosité d'un terminal
EP4588251A1 (fr) Procédé et appareil de traitement de données
WO2018218804A1 (fr) Procédé et système d'identification hybride de terminal

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17899944

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 22/01/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 17899944

Country of ref document: EP

Kind code of ref document: A1