CN210745299U - Intelligent security camera based on human shape recognition - Google Patents

Intelligent security camera based on human shape recognition Download PDF

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Publication number
CN210745299U
CN210745299U CN201920845540.8U CN201920845540U CN210745299U CN 210745299 U CN210745299 U CN 210745299U CN 201920845540 U CN201920845540 U CN 201920845540U CN 210745299 U CN210745299 U CN 210745299U
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white light
camera based
security camera
intelligent security
identification module
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CN201920845540.8U
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陈浩平
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Shenzhen Heiyingweishi Electronic Technology Co ltd
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Shenzhen Heiyingweishi Electronic Technology Co ltd
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Abstract

The utility model discloses an intelligent security camera based on anthropomorphic recognition, including photo resistance, face identification module, infrared lamp and white light lamp, face identification module is connected to photo resistance, and infrared lamp and white light lamp are still connected respectively to face identification module, the utility model discloses when dangerous young, the warning front end can remind or fright people, thing in guard area through compound mode such as sound, white light, and the rear end is enlarged this signal simultaneously, lets security personnel in time know, eliminates danger, public security case at the bud state.

Description

Intelligent security camera based on human shape recognition
Technical Field
The utility model relates to a camera technical field specifically is an intelligent security camera based on humanoid discernment.
Background
The security camera is mainly applied to the field of security monitoring, along with the development of society, the role of security monitoring played in life is more and more important, plays an irreplaceable role in society, and contributes to the peace of social environment. The security camera is the most important ring in security facilities, has higher importance degree than human security and material security, plays a role far more than the human security and the material security, and is a modern indispensable high and new technology with high security requirements.
However, the traditional security protection focuses more on the evidence obtaining of the video image after the incident or some alarm linkage in the incident, but the traditional security protection is based on the fact that the dangerous incident and the public security case occur, so that the active security protection and early warning in advance cannot be achieved. Meanwhile, with the development of software and hardware technologies, the intelligent analysis technology is not limited to other fields for a long time, but becomes a key technology in the security field. In smart cities, smart homes, safe cities, and other fields representing the latest scientific and technological development level, intelligent analysis technology plays an important role.
In such a form, security enterprises have met with significant opportunities and challenges. Security enterprises attach great importance to intelligent analysis technologies all the time, and gain a lot of achievements, and due to the fact that the security enterprises have massive video data, the security enterprises have certain advantages in developing technologies such as big data, deep learning and cloud computing, and business can be expanded to other fields by means of accumulation of relevant software and hardware technologies of intelligent analysis.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide an intelligent security camera based on humanoid discernment, in order to solve the problem of proposing among the background art.
In order to realize the purpose, the utility model provides a following technical scheme:
the utility model provides an intelligent security camera based on humanoid discernment, includes photo resistance, face identification module, infrared lamp and white light lamp, face identification module is connected to the photo resistance, and infrared lamp and white light lamp are still connected respectively to face identification module.
As a further aspect of the present invention: the model of the photoresistor is GL 3516.
As a further aspect of the present invention: the white light lamp is formed by connecting a plurality of white light emitting diodes in series.
As a further aspect of the present invention: the infrared lamp adopts an LED infrared lamp.
As a further aspect of the present invention: the face recognition module adopts a TK2-IPC2MPE type camera.
Compared with the prior art, the beneficial effects of the utility model are that: the utility model discloses when there is dangerous sprout, the warning front end can remind or fright people, thing in the guard area through compound mode such as sound, white light, and the rear end is enlargied this signal simultaneously, lets security personnel in time know, eliminates danger, public security case in the bud state.
Drawings
Fig. 1 is a block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Example 1: referring to fig. 1, an intelligent security camera based on human shape recognition includes a photo resistor for detecting a trigger action, a face recognition module for collecting and calculating face information, an infrared lamp, and a white light lamp, wherein the photo resistor is connected to the face recognition module, and the face recognition module is further connected to the infrared lamp and the white light lamp, respectively. When someone enters the detection area, the photosensitive resistor is triggered to send a signal to the face recognition module, the face recognition module collects face information and judges whether a warning signal exists or not, the white light lamp is turned on when the warning signal exists, and the red light lamp is turned on when the warning signal does not exist.
Aiming at the detection accuracy of a traditional moving object in security monitoring, a rapid and efficient moving object detection method is used, firstly, aiming at the condition that the identification background of the moving object in an identification system is unfixed, an interframe difference method is used for reconstructing a background image, a background pixel point and a moving object pixel point in a current frame image are separated by the background difference method, and then a discontinuous motion target point is eliminated by a filtering mode to reduce the false identification rate of the module. By adopting a high-efficiency background updating method, the background is updated once at regular time intervals within the capability range of the DSP, so as to achieve an ideal segmentation effect.
By adopting the threshold self-adaptive weight updating method based on the AdaBoost algorithm and the Haar-like characteristics, the structure of the classifier is optimized, the training of the cascade classifier is realized, and the algorithm complexity is reduced.
The background modeling is realized based on the interframe difference method, a large number of background targets can be eliminated, the moving human-shaped targets in the video sequence are extracted, and finally a human-shaped target detection system is realized.
At night, when humanoid objects enter the forbidden area, the eagle warning gun triggers the switching of the dual-light lamp panels according to the humanoid detection result, switches from the infrared lamp to the white light lamp to frighten criminals, sends an alarm signal to corresponding security personnel through mobile phone reporting, and enables the security personnel to execute related operations in advance until an intruder is dispelled out of the guarding area. The device has strong deterrent force and execution force at night, and all dangers are eliminated in the bud state.
Embodiment 2, on the basis of embodiment 1, the face recognition module of the present design employs TK2-IPC2MPE type camera, which not only has stable performance, but also has high face detection and collection efficiency, stable data transmission, and convenient use.
The algorithm function of the design is described as follows:
1. the detection target is a moving pedestrian, and people standing still in the picture do not give an alarm.
2. And the pedestrian correct alarm rate is over 90 percent.
3. The method is used for preventing the false alarm of the natural environment, weather (wind, rain and snow), light (flashing light, car lights, flashlights and the like), object shaking (electric fans, leaf shaking, curtain shaking and the like) and animal entering. Human interference, such as pushing an object into a picture or using an object to shake in front of the picture, is not reported as a false alarm.
It is obvious to a person skilled in the art that the invention is not restricted to details of the above-described exemplary embodiments, but that it can be implemented in other specific forms without departing from the spirit or essential characteristics of the invention. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (5)

1. The utility model provides an intelligent security camera based on humanoid discernment, includes photo resistance, face identification module, infrared lamp and white light lamp, its characterized in that, photo resistance connects face identification module, and face identification module still connects infrared lamp and white light lamp respectively.
2. The intelligent security camera based on human shape recognition as claimed in claim 1, wherein the type of the photo-resistor is GL 3516.
3. The intelligent security camera based on human shape recognition as claimed in claim 1, wherein the white light lamp is composed of a plurality of white light emitting diodes connected in series.
4. The intelligent security camera based on human shape recognition is characterized in that the infrared lamp is an LED infrared lamp.
5. An intelligent security camera based on human shape recognition as claimed in any one of claims 1-4, wherein the human face recognition module adopts TK2-IPC2MPE type camera.
CN201920845540.8U 2019-06-05 2019-06-05 Intelligent security camera based on human shape recognition Active CN210745299U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201920845540.8U CN210745299U (en) 2019-06-05 2019-06-05 Intelligent security camera based on human shape recognition

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201920845540.8U CN210745299U (en) 2019-06-05 2019-06-05 Intelligent security camera based on human shape recognition

Publications (1)

Publication Number Publication Date
CN210745299U true CN210745299U (en) 2020-06-12

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN201920845540.8U Active CN210745299U (en) 2019-06-05 2019-06-05 Intelligent security camera based on human shape recognition

Country Status (1)

Country Link
CN (1) CN210745299U (en)

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