CN204613974U - A kind of human image collecting recognition device - Google Patents
A kind of human image collecting recognition device Download PDFInfo
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- CN204613974U CN204613974U CN201520191933.3U CN201520191933U CN204613974U CN 204613974 U CN204613974 U CN 204613974U CN 201520191933 U CN201520191933 U CN 201520191933U CN 204613974 U CN204613974 U CN 204613974U
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Abstract
The utility model discloses a kind of human image collecting recognition device, this human image collecting recognition device comprises CPU (central processing unit), and described CPU (central processing unit) is used for logic control and the data processing function of system; The human image collecting unit be connected with described CPU (central processing unit), described human image collecting unit is used for portrait data acquisition; The Identification of Images unit be connected with CPU (central processing unit), Identification of Images unit is used for the identification of portrait data; The man-machine interaction unit be connected with described CPU (central processing unit), described man-machine interaction unit is used for providing operation interface for user; The wireless network access unit be connected with described CPU (central processing unit), described wireless network access unit is used for the download of back-end data and uploading of image data; By wireless network, the portrait data that the portrait data collected and background server are preserved are carried out identifying processing, by recognition result outpost display, applied widely, can this device of portable hand-held, do not limit by cable network.
Description
Technical field
The utility model relates to a kind of human image collecting recognition device.
Background technology
At present, a lot of unit (as enterprise, government organs, colleges and universities etc.) has progressively brought into use Identification of Images device to carry out daily work attendance and safety check work.Along with everybody is to the accreditation of this recognition method, it uses field and scope in continuous expansion, and application prospect is boundless.In the use procedure of Identification of Images device, human image collecting recognition device is normally fixedly installed, and the single usable range of human image collecting recognition device structure of which is little, more and more can not meet the upper multi-field demand of society.
Utility model content
Little in order to solve the single usable range of current human image collecting recognition device structure, more and more can not meet the technical matters of the upper multi-field demand of society, the utility model provides a kind of human image collecting recognition device.
The utility model provides a kind of human image collecting recognition device, it is characterized in that, comprising:
CPU (central processing unit);
The human image collecting unit be connected with described CPU (central processing unit), described human image collecting unit is used for portrait data acquisition;
The Identification of Images unit be connected with described CPU (central processing unit), described Identification of Images unit is used for the portrait data that gathered by described human image collecting unit and predetermined portrait data to carry out contrast and identifies;
The man-machine interaction unit be connected with described CPU (central processing unit), described man-machine interaction unit is used for providing operation interface for user;
The wireless network access unit be connected with described CPU (central processing unit), described wireless network access unit is used for the download of back-end data and uploading of image data.
Further, the SOC control chip of described CPU (central processing unit) to be embedded microprocessor be core.
Further, described human image collecting unit comprises:
For the portrait data acquisition unit of portrait data acquisition.
Further, described Identification of Images unit comprises the recognition processor for being completed recognition function by human Facial Image Recognition Algorithm.
Further, described man-machine interaction unit comprises the human-computer interaction interface being provided with Android system.
Further, described human-computer interaction interface comprises button, touch-screen, voice prompting device and display.
Further, described wireless network access unit comprises:
WIFI network communicator; And/or,
GPRS network communicator; And/or,
3G network communicator.
Further, institute's CPU (central processing unit) connects:
For storing the background server of portrait data.
Compared with prior art, the beneficial effects of the utility model are:
A kind of human image collecting recognition device that the utility model provides, comprising: CPU (central processing unit); The human image collecting unit be connected with described CPU (central processing unit), described human image collecting unit is used for portrait data acquisition; The Identification of Images unit be connected with described CPU (central processing unit), described Identification of Images unit is used for the portrait data that gathered by described human image collecting unit and predetermined portrait data to carry out contrast and identifies; The man-machine interaction unit be connected with described CPU (central processing unit), described man-machine interaction unit is used for providing operation interface for user; The wireless network access unit be connected with described CPU (central processing unit), described wireless network access unit is used for the download of back-end data and uploading of image data; By wireless network, the portrait data that the portrait data collected and background server are preserved are carried out identifying processing, by recognition result outpost display, applied widely, can this device of portable hand-held, do not limit by cable network.
Accompanying drawing explanation
Forming a part of accompanying drawing of the present utility model is used to provide further understanding of the present utility model, and schematic description and description of the present utility model, for explaining the utility model, is not formed improper restriction of the present utility model.In the accompanying drawings:
Fig. 1 is the structural schematic block diagram of the utility model embodiment;
Fig. 2 is the schematic process flow diagram of the utility model embodiment.
Embodiment
Below in conjunction with the accompanying drawing in the utility model embodiment, be clearly and completely described the technical scheme in the utility model embodiment, obviously, described embodiment is only the utility model part embodiment, instead of whole embodiments.Based on the embodiment in the utility model, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the utility model protection.
It should be noted that, when not conflicting, the embodiment in the utility model and the feature in embodiment can combine mutually.Below in conjunction with accompanying drawing, each preferred embodiment of the present utility model is described further:
The utility model embodiment provides a kind of human image collecting recognition device, as shown in Figure 1, comprise: CPU (central processing unit), the human image collecting unit be connected with CPU (central processing unit), Identification of Images unit, man-machine interaction unit and wireless network access unit, CPU (central processing unit) is used for logic control and the data processing function of system; Collecting unit is used for portrait data acquisition; Identification of Images unit is used for the portrait data that gathered by described human image collecting unit and predetermined portrait data to carry out contrast and identifies; Man-machine interaction unit is used for providing operation interface for user; Wireless network access unit is used for the download of back-end data and uploading of image data.
The portrait data collected first are kept in the machine by human image collecting unit, then by wireless network access unit, the data of preserving in background server are taken out one by one according to data volume phase approximately principle, and the portrait data row matching identification to the greatest extent in the portrait data utilizing Identification of Images unit to be gathered by human image collecting unit and background server, if have identified the portrait data collected in the scope that portrait data difference allows, then recognition result is carried out outpost display by man-machine interaction unit, if fail to identify, by wireless network access unit, the portrait data upload collected is preserved to background server as sample, to use when next time identifies.
The SOC control chip of CPU (central processing unit) to be embedded microprocessor be core, SOC is the abbreviation of System-on-a-chip, is system level chip, also has title SOC (system on a chip), and meaning it is a product.
Wherein, human image collecting unit is the portrait data acquisition unit for portrait data acquisition; Portrait data acquisition unit realizes the collection of portrait data by the exogenous data of CPU (central processing unit), mainly can be embodied the core data of face key position in gatherer process by screening, calculates data capacity.
Wherein, Identification of Images unit comprises the recognition processor for being completed recognition function by human Facial Image Recognition Algorithm; Recognition processor to be compared by the portrait data that human Facial Image Recognition Algorithm prestores with background server one by one by the portrait data of contrast portrait data acquisition unit collection and is verified, completes identifying processing.
Wherein, man-machine interaction unit comprises the human-computer interaction interface being provided with Android system.Human-computer interaction interface comprises button, touch-screen, voice prompting device and display.Wireless network access unit comprises: WIFI network communicator, one of GPRS network communicator and 3G network communicator or combination in any.
In addition, CPU (central processing unit) connects the background server for storing portrait data.
As shown in Figure 2, the whole workflow of the utility model embodiment,
After step one, system start;
Whether step 2, carry out portrait data acquisition;
Step 3, by human image collecting unit executor as data acquisition, gather perfect person as after data, screening can embody the core data of face key position, calculates data capacity;
The portrait data of human image collecting unit collection to be compared checking with the portrait data stored in background server according to data capacity phase approximately principle by Identification of Images unit by step 4 one by one.Wherein, the portrait data stored in background server build up index according to capacity phase approximately principle, and fast and easy is inquired about, and accelerate the speed obtaining data.
Step 5, if find that in Identification of Images unit comparison process the portrait data in background server database are mated completely with the portrait data collected, then identifies successfully; If there is no the data finding to mate completely, then recognition failures, needing the portrait data upload gathered by human image collecting unit in background server database in recognition failures situation, store according to capacity phase approximately principle, using for identifying next time.
Step 5, is finally shown the result of identifying processing by human-computer interaction interface, is supplied to user, completes Identification of Images processing procedure.
The utility model embodiment is by providing a kind of portable human image collecting recognition device, any place that this device can cover at wireless network signal carries out collection and the identification work of portrait data fast, the power that fixed for indoor Identification of Images device has is expanded in outdoor and mobile space, and it is simple for operating personnel, convenient, easily use.Thus the reliability substantially increasing Identification of Images device also greatly reduces the use cost of this kind of device.
The foregoing is only preferred embodiment of the present utility model; not in order to limit the utility model; all within spirit of the present utility model and principle, any amendment done, equivalent replacement, improvement etc., all should be included within protection domain of the present utility model.
Claims (8)
1. a human image collecting recognition device, is characterized in that, comprising:
CPU (central processing unit);
The human image collecting unit be connected with described CPU (central processing unit), described human image collecting unit is used for portrait data acquisition;
The Identification of Images unit be connected with described CPU (central processing unit), described Identification of Images unit is used for the portrait data that gathered by described human image collecting unit and predetermined portrait data to carry out contrast and identifies;
The man-machine interaction unit be connected with described CPU (central processing unit), described man-machine interaction unit is used for providing operation interface for user;
The wireless network access unit be connected with described CPU (central processing unit), described wireless network access unit is used for the download of back-end data and uploading of image data.
2. human image collecting recognition device according to claim 1, is characterized in that, the SOC control chip of described CPU (central processing unit) to be embedded microprocessor be core.
3. human image collecting recognition device according to claim 1, is characterized in that, described human image collecting unit comprises:
For the portrait data acquisition unit of portrait data acquisition.
4. human image collecting recognition device according to claim 1, is characterized in that, described Identification of Images unit comprises the recognition processor for being completed recognition function by human Facial Image Recognition Algorithm.
5. human image collecting recognition device according to claim 1, is characterized in that, described man-machine interaction unit comprises the human-computer interaction interface being provided with Android system.
6. human image collecting recognition device according to claim 5, is characterized in that, described human-computer interaction interface comprises button, touch-screen, voice prompting device and display.
7. human image collecting recognition device according to claim 1, is characterized in that, described wireless network access unit comprises:
WIFI network communicator; And/or,
GPRS network communicator; And/or,
3G network communicator.
8. human image collecting recognition device according to claim 1, is characterized in that, institute's CPU (central processing unit) connects:
For storing the background server of portrait data.
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| CN201520191933.3U CN204613974U (en) | 2015-04-01 | 2015-04-01 | A kind of human image collecting recognition device |
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| CN201520191933.3U CN204613974U (en) | 2015-04-01 | 2015-04-01 | A kind of human image collecting recognition device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111594271A (en) * | 2020-06-02 | 2020-08-28 | 脑谷人工智能研究院(南京)有限公司 | Coal mine safety monitoring system based on portrait acquisition and processing |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111594271A (en) * | 2020-06-02 | 2020-08-28 | 脑谷人工智能研究院(南京)有限公司 | Coal mine safety monitoring system based on portrait acquisition and processing |
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