CN108230497A - A kind of gate inhibition's safety protection method based on express delivery feature recognition - Google Patents
A kind of gate inhibition's safety protection method based on express delivery feature recognition Download PDFInfo
- Publication number
- CN108230497A CN108230497A CN201711394062.5A CN201711394062A CN108230497A CN 108230497 A CN108230497 A CN 108230497A CN 201711394062 A CN201711394062 A CN 201711394062A CN 108230497 A CN108230497 A CN 108230497A
- Authority
- CN
- China
- Prior art keywords
- courier
- personnel
- target residence
- image
- express delivery
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- 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.)
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Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M11/00—Telephonic communication systems specially adapted for combination with other electrical systems
- H04M11/02—Telephonic communication systems specially adapted for combination with other electrical systems with bell or annunciator systems
- H04M11/025—Door telephones
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
-
- 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
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
- H04N7/186—Video door telephones
Abstract
The invention discloses a kind of gate inhibition's safety protection method based on express delivery feature recognition, including：Convolutional neural networks are trained according to sample logistics house mark image, obtain image analysis model；Acquire the clothes image of target residence personnel in the outer preset range of door；The clothes image of target residence personnel is input in image analysis model and judges whether the target residence personnel are courier；When judging target residence personnel for courier, the video calling between the courier and resident family is established；After the enabling confirmation message of resident family is received, opening gate.
Description
Technical field
The present invention relates to express delivery technical field of security and protection more particularly to a kind of gate inhibition security protection sides based on express delivery feature recognition
Method.
Background technology
As urbanization paces are greatly speeded up, housing estate development is to intelligent, modernization development, traditional community security system
It has been progressively switch to Household security system.Household safety-protection is that automatic detection is happened at the intrusive behavior deployed troops on garrison duty in monitoring region,
And the contact personnel regional location alarmed is prompted, show the security system that may be taken some countermeasures.On the other hand, e-commerce
Development side it is increasingly mature so that shopping online be increasingly becoming the favorite shopping way of people even when main shopping way；
The fast development of simultaneous Express Logistics industry, courier are frequently occurred in cell and man of resident family.
Since Household security system is not mature enough, when resident family stays out, courier visits when sending part, pulling part, resident family without
During method is gone home in a hurry in time, the temporal waste of both sides is caused.
Invention content
Technical problems based on background technology, the present invention propose a kind of gate inhibition's security protection based on express delivery feature recognition
Method；
A kind of gate inhibition's safety protection method based on express delivery feature recognition proposed by the present invention, including：
S1, convolutional neural networks are trained according to sample logistics house mark image, obtain image analysis model；
The clothes image of target residence personnel in S2, the outer preset range of acquisition door；
S3, the clothes image of target residence personnel is input in image analysis model judges that the target residence personnel are
No is courier；
S4, when judging target residence personnel for courier, establish the video calling between the courier and resident family；
S5, after the enabling confirmation message of resident family is received, opening gate.
Preferably, step S1 is specifically included：
Build convolutional neural networks；
Acquisition in the market all logistics house mark images as sample logistics house mark image；
Convolutional neural networks are trained according to sample logistics house mark image, obtain image analysis model.
Preferably, in step S2, the target residence personnel specifically include：It is more than by being stopped in preset range outside door
The personnel of preset time are as target residence personnel.
Preferably, step S3 is specifically included：The clothes image of target residence personnel is input to image analysis model,
When recognizing logistics company trade mark in the clothes image of target residence personnel, judge the target residence personnel for courier.
Preferably, step S4 is specifically included：When judging target residence personnel for courier, pass through reserved correspondent party
Formula establishes the video calling between courier and resident family.
Preferably, in step S5, the enabling confirmation message specifically includes：Enabling confirmation message passes through video for resident family
Call confirms the information sent after courier's identity.
The present invention is trained convolutional neural networks according to sample logistics house mark image, obtains image analysis mould
Type acquires the clothes image of target residence personnel in the outer preset range of door, the clothes image of target residence personnel is input to
Judge whether the target residence personnel are courier in image analysis model, when judging target residence personnel for courier,
The video calling between the courier and resident family is established, after the enabling confirmation message of resident family is received, opening gate.Such as
This, is quickly and effectively identified courier's identity, and establish courier in time the present invention is based on depth convolutional neural networks
Communication between resident family, and in real time courier be monitored, facilitate courier visit send part, pull part while, ensure
The safety of resident family's property.
Description of the drawings
Fig. 1 is a kind of flow diagram of gate inhibition's safety protection method based on express delivery feature recognition proposed by the present invention.
Specific embodiment
Reference Fig. 1, a kind of gate inhibition's safety protection method based on express delivery feature recognition proposed by the present invention, including：
Step S1 is trained convolutional neural networks according to sample logistics house mark image, obtains image analysis mould
Type specifically includes：Build convolutional neural networks；Acquisition in the market all logistics house mark images as sample logistics company quotient
Logo image；Convolutional neural networks are trained according to sample logistics house mark image, obtain image analysis model.
In concrete scheme, all logistics house mark images (work mark, figurative mark) in the market are acquired, according to this
A little logistics company trademark images are trained convolutional neural networks, and training result is surveyed according to preset test set
Examination, obtains image analysis model.
Step S2 acquires the clothes image of target residence personnel in the outer preset range of door, wherein, by model default outside door
Personnel of the interior stop more than preset time are enclosed as target residence personnel.
In concrete scheme, when there are the personnel that stop is more than preset time outside door in preset range, the personnel are judged
Want to carry out door, while resident family may stay out or not hear the tap-tap of personnel or doorbell sound.
The clothes image of target residence personnel is input in image analysis model and judges the target residence people by step S3
Whether member is courier, is specifically included：The clothes image of target residence personnel is input to image analysis model, in target residence
When recognizing logistics company trade mark in the clothes image of personnel, judge the target residence personnel for courier.
In concrete scheme, the clothes image of target residence personnel is input in image analysis model, passes through image analysis
Whether there is logistics company trade mark in the clothes image of Model Identification target residence personnel, when recognizing logistics company trade mark, sentence
The target residence personnel of breaking are courier.
When judging target residence personnel for courier, courier is established with living by reserved contact method by step S4
Video calling between family.
In concrete scheme, preset camera near the contact method and door reserved by resident family establishes courier
Video calling between resident family.
Step S5, after the enabling confirmation message of resident family is received, opening gate, wherein, the enabling confirmation message is
Resident family confirms the information sent after courier's identity by video calling.
It is courier's opening gate, and right after resident family confirms courier's identity by video calling in concrete scheme
Courier is monitored in real time.
Present embodiment is trained convolutional neural networks according to sample logistics house mark image, obtains image analysis
Model acquires the clothes image of target residence personnel in the outer preset range of door, the clothes image of target residence personnel is inputted
Judge whether the target residence personnel are courier into image analysis model, judging target residence personnel for courier
When, the video calling between the courier and resident family is established, after the enabling confirmation message of resident family is received, opening gate.
In this way, quickly and effectively courier's identity is identified based on depth convolutional neural networks, and courier is established in time with living
Communication between family, and in real time courier be monitored, facilitate courier visit send part, pull part while, ensure resident family
The safety of property.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (6)
1. a kind of gate inhibition's safety protection method based on express delivery feature recognition, which is characterized in that including：
S1, convolutional neural networks are trained according to sample logistics house mark image, obtain image analysis model；
The clothes image of target residence personnel in S2, the outer preset range of acquisition door；
S3, the clothes image of target residence personnel is input in image analysis model judge the target residence personnel whether be
Courier；
S4, when judging target residence personnel for courier, establish the video calling between the courier and resident family；
S5, after the enabling confirmation message of resident family is received, opening gate.
2. gate inhibition's safety protection method according to claim 1 based on express delivery feature recognition, which is characterized in that step S1, tool
Body includes：
Build convolutional neural networks；
Acquisition in the market all logistics house mark images as sample logistics house mark image；
Convolutional neural networks are trained according to sample logistics house mark image, obtain image analysis model.
3. gate inhibition's safety protection method according to claim 1 based on express delivery feature recognition, which is characterized in that in step S2,
The target residence personnel, specifically include：The personnel stopped in preset range outside door more than preset time are stopped as target
Stay personnel.
4. gate inhibition's safety protection method according to claim 1 based on express delivery feature recognition, which is characterized in that step S3, tool
Body includes：The clothes image of target residence personnel is input to image analysis model, in the clothes image of target residence personnel
When recognizing logistics company trade mark, judge the target residence personnel for courier.
5. gate inhibition's safety protection method according to claim 1 based on express delivery feature recognition, which is characterized in that step S4, tool
Body includes：When judging target residence personnel for courier, established between courier and resident family by reserved contact method
Video calling.
6. gate inhibition's safety protection method according to claim 1 based on express delivery feature recognition, which is characterized in that in step S5,
The enabling confirmation message, specifically includes：Enabling confirmation message is sent after confirming courier's identity by video calling for resident family
Information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711394062.5A CN108230497A (en) | 2017-12-21 | 2017-12-21 | A kind of gate inhibition's safety protection method based on express delivery feature recognition |
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| CN201711394062.5A CN108230497A (en) | 2017-12-21 | 2017-12-21 | A kind of gate inhibition's safety protection method based on express delivery feature recognition |
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| CN108230497A true CN108230497A (en) | 2018-06-29 |
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| CN201711394062.5A Pending CN108230497A (en) | 2017-12-21 | 2017-12-21 | A kind of gate inhibition's safety protection method based on express delivery feature recognition |
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| CN109640039A (en) * | 2018-12-07 | 2019-04-16 | 遵义汇峰智能系统有限责任公司 | A kind of intelligent safety and defence system |
| CN109711769A (en) * | 2018-12-06 | 2019-05-03 | 遵义汇峰智能系统有限责任公司 | A kind of intelligent monitor system for cell |
| CN110473328A (en) * | 2019-09-09 | 2019-11-19 | 腾讯科技（深圳）有限公司 | Community's access control management method and device, storage medium, electronic equipment |
| CN110491007A (en) * | 2019-08-29 | 2019-11-22 | 恒大智慧科技有限公司 | A kind of community-based caller management method, community server and storage medium |
| CN110491008A (en) * | 2019-08-29 | 2019-11-22 | 恒大智慧科技有限公司 | A kind of community-based managing caller side and system, storage medium |
| CN110766846A (en) * | 2019-11-07 | 2020-02-07 | 日立楼宇技术（广州）有限公司 | Access control method and device, access control system and storage medium |
| CN115174873A (en) * | 2022-09-08 | 2022-10-11 | 云丁网络技术(北京)有限公司 | Monitoring method and device |
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| CN115174873A (en) * | 2022-09-08 | 2022-10-11 | 云丁网络技术(北京)有限公司 | Monitoring method and device |
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Application publication date: 20180629 |