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CN106097625A - A kind of burglary-resisting system based on Internet of Things - Google Patents

A kind of burglary-resisting system based on Internet of Things Download PDF

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Publication number
CN106097625A
CN106097625A CN201610688428.9A CN201610688428A CN106097625A CN 106097625 A CN106097625 A CN 106097625A CN 201610688428 A CN201610688428 A CN 201610688428A CN 106097625 A CN106097625 A CN 106097625A
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China
Prior art keywords
module
facial image
microprocessor
image
burglary
Prior art date
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Pending
Application number
CN201610688428.9A
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Chinese (zh)
Inventor
陈妮娜
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Individual
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Individual
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Priority to CN201610688428.9A priority Critical patent/CN106097625A/en
Publication of CN106097625A publication Critical patent/CN106097625A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/19Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using infrared-radiation detection systems
    • G08B13/191Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using infrared-radiation detection systems using pyroelectric sensor means
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19654Details concerning communication with a camera
    • G08B13/19658Telephone systems used to communicate with a camera, e.g. PSTN, GSM, POTS

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Alarm Systems (AREA)
  • Closed-Circuit Television Systems (AREA)

Abstract

Invention describes a kind of burglary-resisting system based on Internet of Things, can be when owner goes out, in the case of having people to enter the room, automatic decision bearer identity, and when judging artificial stranger, IMU is crossed the human face image information of note in the future people and is sent to the mobile phone of owner, and owner judges this person's identity accordingly, if assert is stranger, then can notifying cell security personnel or directly warning the human face image information to Public Security Organs offer suspect immediately;So by burglary-resisting system and the dual judgment mechanism of homeowners, it is possible to judge bearer identity accurately, immediately, efficiently, the generation of the case that avoids theft.

Description

A kind of burglary-resisting system based on Internet of Things
Technical field
The present invention relates to automatic monitoring equipment field, a kind of burglary-resisting system based on Internet of Things.
Background technology
Along with the development of science and technology, technology of Internet of things is the most ripe, by more and more for daily life In the middle of.
Existing building anti-theft measure is usually the monitoring device with storage function, after thievery occurs, passes through Transfer monitoring and provide clue to solve the case for the police, there is hysteresis quality.
Therefore, now it is badly in need of one and can monitor building in real time, automatically judge chamber entrant's identity, and judging During artificial stranger, IMU crosses the burglary-resisting system of SMS notification owner.
Summary of the invention
The technical problem to be solved is to provide a kind of burglary-resisting system based on Internet of Things, it is possible to go out owner Time, in the case of having people to enter the room, automatic decision bearer identity, and when judging artificial stranger, IMU is too short Letter notifies owner.
In order to realize solving the purpose of above-mentioned technical problem, present invention employs following technical scheme:
A kind of based on Internet of Things the burglary-resisting system of the present invention, is characterized in that: include central processing module, pyroelectric human body infrared Detector, image capture module, facial image identification module and communication module;
Described central processing module includes microprocessor, memorizer, control module and reset circuit;Microprocessor is by controlling mould Block is connected with image capture module, it is achieved to the collection of image, compresses, store and transmits;Memorizer is used for storing micro-process The program code of device, routine data and view data, be connected with microprocessor and image capture module simultaneously;Control module and figure As acquisition module connects, perform the dependent instruction of microprocessor;Reset circuit realizes after systems soft ware collapses automatically to micro-place Reason device resets;
Described pyroelectric human body infrared detector is connected with microprocessor, and pyroelectric human body infrared detector is for detecting whether have Chamber entrant, sends signal to microprocessor after chamber entrant having been detected, and pyroelectric human body infrared detector received by microprocessor Signal after, by control module control image capture module carry out image acquisition;
Described image capture module includes photographic head and graphics processing unit, and photographic head is used for gathering the image information of chamber entrant, Graphics processing unit is chosen the image of a frame chamber entrant from the image information gathered and is inputted in memorizer, and central authorities process The microprocessor of module extracts chamber entrant's facial image after processing this picture and it is again stored in memorizer;
Described facial image identification module is connected with central processing module, and facial image identification module includes facial image identification list Unit and data storage cell;Described data storage cell includes chamber entrant's facial image database and Given Face Image Database, enters Room person's facial image database receive transmit from the memorizer of central processing module chamber entrant's facial image, Given Face image Information bank include the facial image of the one of own side pre-entered, facial image recognition unit transfer chamber entrant's facial image with Facial image in Given Face Image Database contrasts, if recognizable, is failure to actuate, if can not identify, then and input signal Microprocessor to central processing module;
Described communication module is connected with memorizer and passes through control module and is connected with microprocessor, and microprocessor will be deposited in memorizer Chamber entrant's facial image incoming traffic module of storage also makes communication module pass through color by chamber entrant's facial image by control module Letter form is sent to smart mobile phone.
Concrete: described burglary-resisting system based on Internet of Things also includes power module.
The most concrete: described power module includes independent current source and transformer module;When having electricity, the change of power module 220V civil power is converted to+5V unidirectional current to other each module for power supply by depressor module;During power failure, the independent current source of power module is straight Connect and provide+5V unidirectional current to other each modules.
Concrete: described central processing module, pyroelectric human body infrared detector, image capture module, facial image Connected mode between identification module, communication module is wired connection or wireless connections.
Concrete: described central processing module, pyroelectric human body infrared detector, facial image identification module, communication Module is integrated, wireless connections between described integral structure and image capture module.
Concrete: described smart mobile phone can send control signal by communication module makes central processing module be in dormancy State.
Operation principle: under duty, indoor are monitored by pyroelectric human body infrared detector, work as heat by this patent After releasing electricity human body infrared detector having detected chamber entrant, transmitting a signal to central processing module, central processing module controls figure As acquisition module carries out image acquisition to chamber entrant and the chamber entrant's facial image collected is transferred to facial image identification mould Block, facial image identification module is according to the face figure prestored in the Given Face Image Database in its data storage cell As chamber entrant is identified, if recognizable, it be failure to actuate, if can not identify, then transfer signals to central processing module, centre Chamber entrant's facial image is transferred to communication module and controls communication module by chamber entrant's facial image by multimedia message shape by reason module Formula is sent to smart mobile phone.
These technical schemes, the technical scheme including the technical scheme improved and improvement further can also be combined with each other Or in conjunction with, thus reach superior technique effect.
By using technique scheme, the present invention has a following beneficial effect:
A kind of based on Internet of Things the burglary-resisting system of the present invention, it is possible to when owner goes out, in the case of having people to enter the room, automatically Judge bearer identity, and when judging artificial stranger, IMU crosses the human face image information transmission of note people in the future To the mobile phone of owner, owner judges this person's identity accordingly, if assert is stranger, then can ensure public security or straight notifying cell immediately Taking alarm and to Public Security Organs provide suspect human face image information;So double by burglary-resisting system and homeowners Weight judgment mechanism, it is possible to judge bearer identity accurately, immediately, efficiently, the generation of the case that avoids theft.
Accompanying drawing explanation
Fig. 1 is the system block diagram of the present invention.
In figure: 1 is central processing module, 2 is pyroelectric human body infrared detector, and 3 is image capture module, and 4 is face Picture recognition module, 5 is communication module, and 6 is power module.
Detailed description of the invention
With embodiment, this patent is further explained below in conjunction with the accompanying drawings.But the protection domain of this patent is not limited to tool The embodiment of body.
Embodiment 1
As shown in drawings, a kind of based on Internet of Things the burglary-resisting system of this patent, including central processing module 1, pyroelectric human body Infrared Detectors 2, image capture module 3, facial image identification module 4, communication module 5 and power module 6.
Central processing module 1 includes microprocessor, memorizer, control module and reset circuit;Microprocessor is by controlling Module is connected with image capture module 3, it is achieved to the collection of image, compresses, store and transmits;Memorizer is used for storing micro-place The reason program code of device, routine data and view data, be connected with microprocessor and image capture module 3 simultaneously;Control module It is connected with image capture module 3, performs the dependent instruction of microprocessor;It is the most right that reset circuit realizes after systems soft ware collapses Microprocessor reset.
Central processing module 1 is attached with other modules outside by asynchronous serial communication chip MAX232, is satisfied Information storage and image acquisition demand, microprocessor selects the MPC850 communication control chip of motorola inc, centralized Control Pyroelectric human body infrared detector 2, image capture module 3, facial image identification module 4 and communication module 5.
Pyroelectric human body infrared detector 2 is connected with microprocessor, pyroelectric human body infrared detector 2 for detecting whether Having chamber entrant, send signal to microprocessor after chamber entrant having been detected, pyroelectric human body infrared detection received by microprocessor After the signal of device 2, control image capture module 3 by control module and carry out image acquisition.
Pyroelectric human body infrared detector 2 selects the Lhi968 of Perkinelmer company, have low noise, high-responsivity, The feature strong to capacity of resisting disturbance such as light electromagnetic waves, utilizes the characteristic of human body own wavelength plus Fresnel series filter glass Filter, just can judge whether it is the level that produces when swarming into of other objects such as people swarms into, animal and detection the most accurately There is difference to level during people, False Rate is smaller.
Image capture module 3 includes photographic head and graphics processing unit, and photographic head is used for gathering the image information of chamber entrant, Graphics processing unit is chosen the image of a frame chamber entrant from the image information gathered and is inputted in memorizer, and central authorities process The microprocessor of module 1 extracts chamber entrant's facial image after processing this picture and it is again stored in memorizer.
Facial image identification module 4 is connected with central processing module 1, and facial image identification module 4 includes that facial image is known Other unit and data storage cell;Described data storage cell includes chamber entrant's facial image database and Given Face image information Storehouse, chamber entrant's facial image database receive transmit from the memorizer of central processing module 1 chamber entrant's facial image, particular person Face Image Database includes that the facial image of the one of own side pre-entered, facial image recognition unit transfer chamber entrant's face Image contrasts with the facial image in Given Face Image Database, if recognizable, is failure to actuate, if can not identify, the most defeated Enter the signal microprocessor to central processing module 1.
Communication module 5 is connected with memorizer and passes through control module and is connected with microprocessor, and microprocessor is by memorizer Storage chamber entrant's facial image incoming traffic module 5 and make communication module be passed through by chamber entrant's facial image by control module Multimedia message form is sent to smart mobile phone.
Communication module 5 carries out information exchange by GPRS mode and mobile phone, and GPRS is GPRS (general packet radio service) The English abbreviation of (general packet radio service), is developed on existing gsm system a kind of new Carrying business;GPRS is especially for data transmission that be interrupted, paroxysmal or the most a small amount of, and be also applied for once in a while is big Data transfers;Communication module 5 uses the MC35i chip of Siemens Company and mobile phone to carry out information exchange.
Power module 6 includes independent current source and transformer module;When having electricity, the transformer module of power module 6 is by 220V Civil power is converted to+5V unidirectional current to other each module for power supply;During power failure, the independent current source of power module 6 is directly to other each moulds Block provides+5V unidirectional current.
Under duty, indoor are monitored by this patent by pyroelectric human body infrared detector 2, work as pyroelectric human body After Infrared Detectors 2 has detected chamber entrant, transmitting a signal to central processing module 1, central processing module 1 controls image acquisition Module 3 carries out image acquisition and the chamber entrant's facial image collected is transferred to facial image identification module 4, people chamber entrant Face picture recognition module 4 is according to the facial image pair prestored in the Given Face Image Database in its data storage cell Chamber entrant identifies, if recognizable, is failure to actuate, if can not identify, then transfers signals to central processing module 1, and central authorities process mould Chamber entrant's facial image is transferred to communication module 5 and controls communication module by chamber entrant's facial image by multimedia message form by block 1 It is sent to smart mobile phone.

Claims (6)

1. a burglary-resisting system based on Internet of Things, is characterized in that: include that central processing module, pyroelectric human body infrared detect Device, image capture module, facial image identification module and communication module;
Described central processing module includes microprocessor, memorizer, control module and reset circuit;Microprocessor is by controlling mould Block is connected with image capture module, it is achieved to the collection of image, compresses, store and transmits;Memorizer is used for storing micro-process The program code of device, routine data and view data, be connected with microprocessor and image capture module simultaneously;Control module and figure As acquisition module connects, perform the dependent instruction of microprocessor;Reset circuit realizes after systems soft ware collapses automatically to micro-place Reason device resets;
Described pyroelectric human body infrared detector is connected with microprocessor, and pyroelectric human body infrared detector is for detecting whether have Chamber entrant, sends signal to microprocessor after chamber entrant having been detected, and pyroelectric human body infrared detector received by microprocessor Signal after, by control module control image capture module carry out image acquisition;
Described image capture module includes photographic head and graphics processing unit, and photographic head is used for gathering the image information of chamber entrant, Graphics processing unit is chosen the image of a frame chamber entrant from the image information gathered and is inputted in memorizer, and central authorities process The microprocessor of module extracts chamber entrant's facial image after processing this picture and it is again stored in memorizer;
Described facial image identification module is connected with central processing module, and facial image identification module includes facial image identification list Unit and data storage cell;Described data storage cell includes chamber entrant's facial image database and Given Face Image Database, enters Room person's facial image database receive transmit from the memorizer of central processing module chamber entrant's facial image, Given Face image Information bank include the facial image of the one of own side pre-entered, facial image recognition unit transfer chamber entrant's facial image with Facial image in Given Face Image Database contrasts, if recognizable, is failure to actuate, if can not identify, then and input signal Microprocessor to central processing module;
Described communication module is connected with memorizer and passes through control module and is connected with microprocessor, and microprocessor will be deposited in memorizer Chamber entrant's facial image incoming traffic module of storage also makes communication module pass through color by chamber entrant's facial image by control module Letter form is sent to smart mobile phone.
The most according to claim 1, burglary-resisting system based on Internet of Things, is characterized in that: described based on Internet of Things antitheft system System also includes power module.
The most according to claim 2, burglary-resisting system based on Internet of Things, is characterized in that: described power module includes independent electrical Source and transformer module;When having electricity, 220V civil power is converted to+5V unidirectional current to other each moulds by the transformer module of power module Block is powered;During power failure, the independent current source of power module directly provides+5V unidirectional current to other each modules.
The most according to claim 1, burglary-resisting system based on Internet of Things, is characterized in that: described central processing module, heat are released Electricity connected mode between human body infrared detector, image capture module, facial image identification module, communication module is wired connection Or wireless connections.
The most according to claim 1, burglary-resisting system based on Internet of Things, is characterized in that: described central processing module, heat are released Electricity human body infrared detector, facial image identification module, communication module are integrated, and described integral structure is adopted with image Collection intermodule wireless connections.
The most according to claim 1, burglary-resisting system based on Internet of Things, is characterized in that: described smart mobile phone can pass through communication Module sends control signal makes central processing module in a dormant state.
CN201610688428.9A 2016-08-19 2016-08-19 A kind of burglary-resisting system based on Internet of Things Pending CN106097625A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107403534A (en) * 2017-07-05 2017-11-28 合肥思博特软件开发有限公司 A kind of indoor security system
CN109697813A (en) * 2017-10-23 2019-04-30 绵阳市湘蜀电子科技有限公司 A kind of computerized information burglary-resisting system
CN109754558A (en) * 2019-02-01 2019-05-14 相建新 Intelligent anti-theft device
CN110246292A (en) * 2019-04-26 2019-09-17 平安科技(深圳)有限公司 Domestic video monitoring method, apparatus and storage medium
CN111833491A (en) * 2020-07-09 2020-10-27 麒麟软件有限公司 Safety monitoring anti-theft system based on ARM mainboard and Shenwei mainboard

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CN206003254U (en) * 2016-08-19 2017-03-08 江苏西维斯智能保安服务有限公司 A kind of domestic intelligent burglary-resisting system

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KR101344723B1 (en) * 2013-01-16 2013-12-24 김학철 Anti-theft system of cultivated plants
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107403534A (en) * 2017-07-05 2017-11-28 合肥思博特软件开发有限公司 A kind of indoor security system
CN109697813A (en) * 2017-10-23 2019-04-30 绵阳市湘蜀电子科技有限公司 A kind of computerized information burglary-resisting system
CN109754558A (en) * 2019-02-01 2019-05-14 相建新 Intelligent anti-theft device
CN110246292A (en) * 2019-04-26 2019-09-17 平安科技(深圳)有限公司 Domestic video monitoring method, apparatus and storage medium
CN111833491A (en) * 2020-07-09 2020-10-27 麒麟软件有限公司 Safety monitoring anti-theft system based on ARM mainboard and Shenwei mainboard

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Application publication date: 20161109