CN214310870U - Hardware system based on optics and radar sensor formation of image - Google Patents
Hardware system based on optics and radar sensor formation of image Download PDFInfo
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- CN214310870U CN214310870U CN202022769233.1U CN202022769233U CN214310870U CN 214310870 U CN214310870 U CN 214310870U CN 202022769233 U CN202022769233 U CN 202022769233U CN 214310870 U CN214310870 U CN 214310870U
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Abstract
The utility model relates to the technical field of imaging, in particular to a hardware system based on optical and radar sensor imaging, which comprises an imaging unit, a detection unit, a communication server and a cloud database; the imaging unit comprises an image imaging module, an information display module and a communication module; the communication module is in signal connection with the communication server; the communication server is in signal connection with the cloud database; the detection unit includes a plurality of radar sensors and a plurality of optical sensors; the detection unit also comprises an infrared detection module; the radar sensors are distributed in a circular array; the optical sensors are distributed in a rectangular array; the infrared detection module is arranged in the middle of the detection unit; the detection unit detects towards the detected object; the utility model discloses optical sensor and radar sensor and infrared detection module survey the measured object simultaneously, improve the degree of accuracy that the measured object surveyed.
Description
Technical Field
The utility model relates to an imaging technology field especially relates to a hardware system based on optics and radar sensor formation of image.
Background
Light is ubiquitous around people, and optical imaging technology is inseparable from our lives, such as various cameras, video cameras, telescopes, projectors and the like; the optical imaging technology is widely applied in the monitoring field; however, in the prior art, the optical imaging technology is applied to a two-dimensional plane more often, and in an actual monitoring environment, there is an error in the monitoring of a three-dimensional object.
In order to solve the above problems, a hardware system based on optical and radar sensor imaging is proposed in the present application.
SUMMERY OF THE UTILITY MODEL
Objects of the invention
For solving the technical problem who exists among the background art, the utility model provides a hardware system based on optics and radar sensor formation of image has optical sensor and radar sensor and infrared detection module and surveys the measured object simultaneously, improves the characteristics of the degree of accuracy that the measured object surveyed.
(II) technical scheme
In order to solve the technical problem, the utility model provides a hardware system based on optics and radar sensor imaging, which comprises an imaging unit, a detection unit, a communication server and a cloud database;
the imaging unit comprises an image imaging module, an information display module and a communication module; the communication module is in signal connection with the communication server; the communication server is in signal connection with the cloud database;
the detection unit includes a plurality of radar sensors and a plurality of optical sensors; the detection unit also comprises an infrared detection module; the radar sensors are distributed in a circular array; the optical sensors are distributed in a rectangular array; the infrared detection module is arranged in the middle of the detection unit;
the detecting unit detects toward the object to be detected.
Preferably, the imaging unit further comprises a data processing module, a data acquisition module, a machine learning unit and a local database.
Preferably, the data acquisition module acquires data detected by the detection unit; the data processing module processes the data acquired by the data acquisition module; an imaging model is built in the local database, and the machine learning unit deeply learns the imaging module and carries out modeling.
Preferably, the detection unit further comprises a frequency switching module, a waveform switching module, a power amplifying module and a motion compensation module.
Preferably, the frequency switching module switches the output frequency of the radar sensor; the waveform switching module switches the output waveform of the radar sensor; the power amplification module amplifies output signals of the radar sensor and the infrared detection module.
Preferably, the cloud database stores a plurality of imaging models.
Preferably, the communication server is used for positioning based on a GPS and a Beidou chip, and the communication server is connected with the imaging unit in a wireless communication mode based on a GSM and 4G network.
The above technical scheme of the utility model has following profitable technological effect:
1. the detection unit switches the output frequency of the radar sensor through the frequency switching module according to the distance of the measured object; the detection unit changes the output waveform of the radar sensor through the waveform switching module according to the type of the object to be detected.
2. Aiming at a measured object in the motion process, the motion compensation module performs motion compensation, so that the imaging precision is improved, and the distortion and the error are reduced; the data acquisition module acquires data of the radar sensor, the optical sensor and the infrared sensor; the data processing module processes the data; and then generating a pattern through processing by an imaging model in a local database according to the type of the data, and displaying the pattern through an information display module.
3. The utility model discloses set up machine learning unit, carry out the degree of depth study to the measured object that the user often detected, optimize the imaging model in the local database, improve final formation of image effect. The utility model discloses optical sensor and radar sensor and infrared detection module survey the measured object simultaneously, improve the degree of accuracy that the measured object surveyed.
Drawings
Fig. 1 is a schematic diagram of the overall system structure of the present invention;
FIG. 2 is a schematic diagram of a system structure of an image forming unit according to the present invention;
fig. 3 is a schematic diagram of a system structure of the middle detecting unit of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the description is intended to be illustrative only and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1-3, the present invention provides a hardware system based on optical and radar sensor imaging, which includes an imaging unit, a detection unit, a communication server and a cloud database;
the imaging unit comprises an image imaging module, an information display module and a communication module; the communication module is in signal connection with the communication server; the communication server is in signal connection with the cloud database;
the detection unit includes a plurality of radar sensors and a plurality of optical sensors; the detection unit also comprises an infrared detection module; the radar sensors are distributed in a circular array; the optical sensors are distributed in a rectangular array; the infrared detection module is arranged in the middle of the detection unit;
the detecting unit detects toward the object to be detected.
In this embodiment, the imaging unit further comprises a data processing module, a data acquisition module, a machine learning unit, and a local database.
In this embodiment, the data acquisition module acquires data detected by the detection unit; the data processing module processes the data acquired by the data acquisition module; an imaging model is built in the local database, and the machine learning unit deeply learns the imaging module and carries out modeling.
In this embodiment, the detection unit further includes a frequency switching module, a waveform switching module, a power amplifying module, and a motion compensation module.
In this embodiment, the frequency switching module switches the output frequency of the radar sensor; the waveform switching module switches the output waveform of the radar sensor; the power amplification module amplifies output signals of the radar sensor and the infrared detection module.
In this embodiment, the cloud database stores a plurality of imaging models.
In this embodiment, the communication server is based on GPS and big dipper chip and fixes a position, and the communication server is based on GSM and 4G network and imaging element wireless communication is connected.
The utility model discloses a theory of operation and use flow: the radar sensors are distributed on the detection unit in a circular array, and the optical sensors are distributed on the detection unit in a rectangular array; an infrared detection module is arranged in the middle of the detection unit; aligning the detection unit to the detected object for detection; the imaging unit puts forward a request for downloading an imaging model to a cloud database through a communication server in advance; storing the downloaded imaging model in a local database; presetting the distance and the type of a detection unit; the detection unit switches the output frequency of the radar sensor through the frequency switching module according to the distance of the measured object; the detection unit changes the output waveform of the radar sensor through the waveform switching module according to the type of the object to be detected; meanwhile, the motion compensation module performs motion compensation on the measured object in the motion process, so that the imaging precision is improved, and the distortion and the error are reduced; the data acquisition module acquires data of the radar sensor, the optical sensor and the infrared sensor; the data processing module processes the data; and then generating a pattern through processing by an imaging model in a local database according to the type of the data, and displaying the pattern through an information display module. The utility model discloses set up machine learning unit, carry out the degree of depth study to the measured object that the user often detected, optimize the imaging model in the local database, improve final formation of image effect. The utility model discloses optical sensor and radar sensor and infrared detection module survey the measured object simultaneously, improve the degree of accuracy that the measured object surveyed.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (5)
1. A hardware system based on optical and radar sensor imaging is characterized by comprising an imaging unit, a detection unit, a communication server and a cloud database;
the imaging unit comprises an image imaging module, an information display module and a communication module; the communication module is in signal connection with the communication server; the communication server is in signal connection with the cloud database;
the detection unit includes a plurality of radar sensors and a plurality of optical sensors; the detection unit also comprises an infrared detection module; the radar sensors are distributed in a circular array; the optical sensors are distributed in a rectangular array; the infrared detection module is arranged in the middle of the detection unit;
the detecting unit detects toward the object to be detected.
2. The optical and radar sensor imaging-based hardware system of claim 1, wherein the detection unit further comprises a frequency switching module, a waveform switching module, a power amplification module, and a motion compensation module.
3. The optical and radar sensor imaging-based hardware system of claim 2, wherein the frequency switching module switches the output frequency of the radar sensor; the waveform switching module switches the output waveform of the radar sensor; the power amplification module amplifies output signals of the radar sensor and the infrared detection module.
4. The hardware system for optical and radar sensor imaging based on claim 1, wherein a plurality of imaging models are stored in a cloud database.
5. The hardware system based on optical and radar sensor imaging of claim 1, wherein the communication server is based on GPS and Beidou chips for positioning, and the communication server is in wireless communication connection with the imaging unit based on GSM and 4G networks.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022769233.1U CN214310870U (en) | 2020-11-25 | 2020-11-25 | Hardware system based on optics and radar sensor formation of image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202022769233.1U CN214310870U (en) | 2020-11-25 | 2020-11-25 | Hardware system based on optics and radar sensor formation of image |
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| Publication Number | Publication Date |
|---|---|
| CN214310870U true CN214310870U (en) | 2021-09-28 |
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| CN202022769233.1U Expired - Fee Related CN214310870U (en) | 2020-11-25 | 2020-11-25 | Hardware system based on optics and radar sensor formation of image |
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| CN (1) | CN214310870U (en) |
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- 2020-11-25 CN CN202022769233.1U patent/CN214310870U/en not_active Expired - Fee Related
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Granted publication date: 20210928 |