CN208768165U - A kind of high-definition network camera - Google Patents
A kind of high-definition network camera Download PDFInfo
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- CN208768165U CN208768165U CN201821438651.9U CN201821438651U CN208768165U CN 208768165 U CN208768165 U CN 208768165U CN 201821438651 U CN201821438651 U CN 201821438651U CN 208768165 U CN208768165 U CN 208768165U
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Abstract
The utility model proposes a kind of high-definition network cameras, realize the real-time video and sound monitoring to site environment, it is characterised in that: including video camera, image information collecting module, audio-frequency information acquisition module, network transmission module, CPU control module, alarm module, power management module, power supply and sound pick-up；Described image information acquisition module is used to be acquired camera data processing, connects the CPU control module and video camera；The audio-frequency information acquisition module is used to be acquired processing to video recording voice data or site environment voice data, is separately connected the CPU control module, video camera and sound pick-up；The network transmission module includes WIFI transmission module or/and 3G application module, for upper system feedback data or receiving control instruction；The alarm module is warned in the form of sound or/and light.
Description
Technical field
The utility model relates to a kind of high-definition network cameras.
Background technique
With information-based and computer image processing technology fast development, the raising of people's awareness of safety, real-time video
Monitoring system gradually at indispensable a part in for people's lives, has been widely used in production, traffic, society
Safety etc..However, limited by bad weather (mist, rain, wind, light etc.) condition and monitoring system self-technique condition,
Ideal effect is often not achieved in video image, and fails to transfer live sound and carry out real time monitoring record.In this regard, needing to mention
Picture pick-up device and processing technique are risen to reach the particular/special requirement of monitoring trade.
Utility model content
To overcome problems of the prior art, the utility model proposes a kind of high-definition network cameras, realize to existing
The real-time video and sound monitoring of field environment, particular technique content are as follows:
A kind of high-definition network camera comprising video camera, image information collecting module, audio-frequency information acquisition module, net
Network transmission module, CPU control module, alarm module, power management module, power supply and sound pick-up；Described image information collection mould
Block is used to be acquired camera data processing, connects the CPU control module and video camera；The audio-frequency information acquires mould
Block be used for video recording voice data or site environment voice data be acquired processing, be separately connected the CPU control module,
Video camera and sound pick-up；The network transmission module includes WIFI transmission module or/and 3G application module, is used for Upper system
Feedback data receives control instruction；The alarm module is warned in the form of sound or/and light.
Compared with prior art, the superiority of the utility model is embodied in: being realized by video camera and sound pick-up to scene
The real-time video and sound monitoring of environment, and upload via network transmission module in time or be adjusted on demand by Upper system
It reads, the network sensing module is suitable for all kinds of scenes without considering field wiring for WIFI transmission module and 3G application module
It is laid out in environment, there is preferable technical and practicability, be suitble to promote the use of.
Detailed description of the invention
Fig. 1 is the functional block diagram of the high-definition network camera of the utility model.
Specific embodiment
As follows in conjunction with attached drawing 1, application scheme is further described:
A kind of high-definition network camera comprising video camera, image information collecting module, audio-frequency information acquisition module, net
Network transmission module, CPU control module, alarm module, power management module, power supply and sound pick-up；Described image information collection mould
Block is used to be acquired camera data processing, connects the CPU control module and video camera；The audio-frequency information acquires mould
Block be used for video recording voice data or site environment voice data be acquired processing, be separately connected the CPU control module,
Video camera and sound pick-up；The network transmission module includes WIFI transmission module and 3G application module, for anti-to Upper system
Feedback data receive control instruction；The alarm module is warned in the form of sound or/and light.Wherein, it is adopted in video camera
With highly sensitive, high noise mega pixel CMOS progressive scan sensor (5,000,000 or 8,000,000 pixel), CPU control module is main
Using double-core digital media processor, network transmission module includes WIFI transmission module and 3G application module；CPU control module
It is connected with image information collecting module, audio-frequency information acquisition module, network transmission module, alarm module, power management module.Figure
As signal acquisition module and audio signal sample module believe the data received from the CMOS of video camera progressive scan sensor
Number coding compression is carried out, then the signal received is converted to the digital signal of " 0 " or " 1 ", then repair to digital signal
Change, delete, strengthen, and numerical data is interpreted back analogue data or actual environment format in System on Chip/SoC, and be transferred to
CPU control module, CPU control module stores information, after analysis, if network interruption, video-losing, alarm module issue
Warning, and implement mobile detection, interlink warning, alarm map and show, sound pick-up collects audio signal, and passes through network transmission mould
Block is transferred to terminal system and is monitored in real time.
The CPU control module includes double-core digital media processor, for executing the transformation of image, coding compression, increasing
Strong and recovery, segmentation, description mark, classification decision.Specifically:
1) image converts: since pattern matrix is very big, directly being handled in the spatial domain, it is very big to be related to calculation amount.Cause
This, often using the method for various images transformation, such as Fourier transform, Walsh transformation, discrete cosine transform processing indirectly
The processing of spatial domain is converted to transform-domain processing by technology, can not only reduce calculation amount, but also can get more effectively processing
(such as Fourier transform can carry out digital filtering processing in a frequency domain).The wavelet transformation of current emerging research is in time domain and frequency domain
All there is good localization property, it also has extensively in image procossing and effectively applies.
2) image compression: image compression technology can reduce the data volume (i.e. bit number) of description image, so as to
It saves image transmitting, processing time and reduces occupied memory capacity.Compression can obtain under the premise of distortionless,
It can be carried out under the distortion condition of permission.Coding is most important method in compress technique, it is in the image processing arts
Develop earliest and comparative maturity technology.
3) image enhancement and recovery: image enhancement and the purpose of recovery are the quality in order to improve image, as removal is made an uproar
Sound improves the clarity etc. of image.Image enhancement does not consider the reason of image deterioration, protrudes part interested in image.
Such as strengthen image high fdrequency component, objects in images can be made clear-cut, details is obvious；Such as strengthening low frequency component can be reduced in image
Influence of noise.Image restoration requires have certain understanding to the reason of image deterioration, generally should establish " drop according to the process that degrades
Matter model ", then certain filtering method is used, restore or rebuild original image.
4) image segmentation: image segmentation is one of the key technology in Digital Image Processing.Image segmentation is will be in image
Significant characteristic extracts, and significant feature has edge, region in image etc., this is further progress figure
As identification, analysis and the basis understood.Although the method for having developed many edge extractings, region segmentation at present, but without
A kind of effective ways being generally applicable to various images.It therefore, is current to the research of image segmentation also among deepening continuously
One of hot spot studied in image procossing.
5) iamge description: iamge description is the prerequisite of image recognition and understanding.It can as simplest bianry image
The characteristic of object is described using its geometrical property, the description method of general pattern is described using two-dimensional shapes, it has contour description
With two class method of region description.The description of 2 d texture feature can be used for special texture image.As image procossing is studied
Deep development, have begun carry out three-dimension object description research, propose volume description, surface description, generalized cylinder
The methods of description.
6) image classification (identification): image classification (identification) belongs to the scope of pattern-recognition, and to the effect that image passes through
After crossing certain pretreatments (enhancing is restored, compression), image segmentation and feature extraction are carried out, to make decisions classification.Image point
Class has statistical pattern classification and syntax (structure) pattern classification frequently with classical mode identification method, and new development in recent years rises
The Fuzzy Pattern Recognition and artificial neural network pattern classification come also increasingly are taken seriously in image recognition.
It is that above-mentioned preferred embodiment should be regarded as application scheme embodiment for example, all with application scheme thunder
Same, approximate or technology deduction, replacement, improvement for making based on this etc., are regarded as the protection scope of this patent.
Claims (5)
1. a kind of high-definition network camera, it is characterised in that: including video camera, image information collecting module, audio-frequency information acquisition
Module, network transmission module, CPU control module, alarm module, power management module, power supply and sound pick-up；Described image information
Acquisition module is used to be acquired camera data processing, connects the CPU control module and video camera；The audio-frequency information
Acquisition module is used to be acquired processing to video recording voice data or site environment voice data, is separately connected the CPU control
Molding block, video camera and sound pick-up；The network transmission module includes WIFI transmission module or/and 3G application module, for
Upper system feedback data receives control instruction；The alarm module is warned in the form of sound or/and light.
2. high-definition network camera according to claim 1, it is characterised in that: the CPU control module includes double-core number
Word Media Processor, for executing transformation, coding compression, enhancing and the recovery, segmentation, description mark, classification judgement behaviour of image
Make.
3. high-definition network camera according to claim 1, it is characterised in that: the network transmission module includes that WIFI is passed
Defeated module and 3G application module.
4. high-definition network camera according to claim 1, it is characterised in that: the video camera is progressively scanned using CMOS
Sensor.
5. high-definition network camera according to claim 1, it is characterised in that: the video camera has million grades of pixels,
Including 5,000,000 pixels or 8,000,000 pixels.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821438651.9U CN208768165U (en) | 2018-09-04 | 2018-09-04 | A kind of high-definition network camera |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821438651.9U CN208768165U (en) | 2018-09-04 | 2018-09-04 | A kind of high-definition network camera |
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