CN111006153A - Ceiling lamp - Google Patents
Ceiling lamp Download PDFInfo
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- CN111006153A CN111006153A CN201911079259.9A CN201911079259A CN111006153A CN 111006153 A CN111006153 A CN 111006153A CN 201911079259 A CN201911079259 A CN 201911079259A CN 111006153 A CN111006153 A CN 111006153A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21S—NON-PORTABLE LIGHTING DEVICES; SYSTEMS THEREOF; VEHICLE LIGHTING DEVICES SPECIALLY ADAPTED FOR VEHICLE EXTERIORS
- F21S8/00—Lighting devices intended for fixed installation
- F21S8/04—Lighting devices intended for fixed installation intended only for mounting on a ceiling or the like overhead structures
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V17/00—Fastening of component parts of lighting devices, e.g. shades, globes, refractors, reflectors, filters, screens, grids or protective cages
- F21V17/08—Fastening of component parts of lighting devices, e.g. shades, globes, refractors, reflectors, filters, screens, grids or protective cages onto the supporting or suspending arrangements of the lighting device, e.g. power cords, standards
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V21/00—Supporting, suspending, or attaching arrangements for lighting devices; Hand grips
- F21V21/02—Wall, ceiling, or floor bases; Fixing pendants or arms to the bases
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F21—LIGHTING
- F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
- F21V21/00—Supporting, suspending, or attaching arrangements for lighting devices; Hand grips
- F21V21/14—Adjustable mountings
- F21V21/15—Adjustable mountings specially adapted for power operation, e.g. by remote control
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
Abstract
The present invention provides a ceiling lamp, comprising: base, lamp body and front and back symmetry detachably install lamp shade on the base, be provided with the location boss on the base, the lamp body is installed on the boss of location, the both sides of location boss are provided with the forked tail arch respectively, be provided with on the lamp shade with the protruding matched with dovetail of forked tail. The lampshade of the ceiling lamp is matched with the dovetail protrusions of the base through the dovetail grooves, the connection and disassembly mode of the lampshade and the base is simple, the lampshade is convenient to disassemble, and the lamp body is convenient to replace; the whole structure is simple, and the lampshade can be directly detached without professional persons.
Description
Technical Field
The invention relates to a lamp, in particular to a ceiling lamp.
Background
The ceiling lamp is an illumination lamp installed on an indoor ceiling and can play a role in illumination, and compared with the traditional lamp, the LED lamp has the advantages of small size, low power consumption, high lighting effect and long service life, so that various lamp manufacturers develop LED ceiling lamp products with rich varieties. However, if the bulb of the existing ceiling lamp is damaged, the replacement and maintenance are difficult, and certain inconvenience is caused.
Disclosure of Invention
Technical problem to be solved
The invention aims to solve the technical problem of providing a ceiling lamp which is characterized in that a base is connected with a lamp shade in a dovetail groove matching mode and is convenient for replacing a lamp body and later-stage maintenance.
(II) technical scheme
In order to solve the above technical problem, the present invention provides a ceiling lamp, including: base, lamp body and front and back symmetry detachably install lamp shade on the base, be provided with the location boss on the base, the lamp body is installed on the boss of location, the both sides of location boss are provided with the forked tail arch respectively, be provided with on the lamp shade with the protruding matched with dovetail of forked tail. When the lamp shade is installed, the dovetail groove of the lamp shade is matched with the dovetail protrusion of the positioning boss, and the lamp shade is installed on the base; when the lamp body is maintained and replaced, only the dovetail groove of the lamp shade is reversely separated from the dovetail bulge of the positioning boss, so that the whole structure is simple, and the lamp body is convenient to disassemble and replace.
The ceiling lamp is generally installed indoors, if a fire disaster occurs indoors, nearby people cannot determine the situation of the fire disaster on site, more scene information cannot be provided for the nearby people, and the intelligent degree of the ceiling lamp is not high; therefore, the technical scheme also comprises the following steps:
the display switching unit is used for switching different colors for the lamp body;
the data acquisition unit is used for acquiring image data of the surrounding environment of the ceiling lamp to obtain a corresponding surrounding environment image;
the data extraction unit is connected with the data acquisition unit and is used for acquiring multiple frames of surrounding environment images which are continuous in time;
the data analysis unit is connected with the data extraction unit and used for executing the following operations on each frame of surrounding environment image: determining each gray value of each pixel point of the surrounding environment image, and performing histogram processing on the surrounding environment image based on each gray value of each pixel point to obtain a corresponding histogram distribution map;
the data comparison unit is connected with the data analysis unit and used for acquiring each histogram distribution graph corresponding to a plurality of frames of surrounding environment images respectively, analyzing the variation degree of each histogram distribution graph to acquire the image level variation degree, and sending a position correction signal when the image level variation degree exceeds the limit, and sending a position maintaining signal when the image level variation degree does not exceed the limit;
the holder control unit is connected with the holder of the data acquisition unit and the data comparison unit and is used for correspondingly correcting the position of the holder according to the image level change degree when receiving the position correction signal;
the deviation degree identification unit is connected with the data acquisition unit and used for receiving a surrounding environment image, acquiring each brightness value of each pixel point of the surrounding environment image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the surrounding environment image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block;
the background stripping unit is connected with the deviation degree identification unit and used for executing background segmentation processing on each segmentation block based on a determined threshold value so as to obtain a corresponding block to be identified, fitting each block to be identified of each segmentation block so as to obtain an image to be identified and outputting the image to be identified;
the self-adaptive high-frequency analysis unit is connected with the background stripping unit and used for receiving the image to be identified, carrying out contrast measurement on the image to be identified so as to obtain the real-time contrast corresponding to the image to be identified, and determining the corresponding high-frequency distribution frequency band in the image to be identified based on the real-time contrast so as to output the high-frequency distribution frequency band as a target frequency band;
the image differentiation unit is respectively connected with the frequency band extraction unit and the contrast measurement unit and is used for receiving the target frequency band and the image to be identified, executing high-pass filtering processing based on the target frequency band on the image to be identified so as to obtain a corresponding high-pass filtering image and outputting the high-pass filtering image;
the difference value acquisition unit is connected with the image differentiation unit and is used for acquiring the image to be identified and the high-pass filtering image, and is also used for subtracting the high-pass filtering image from the image to be identified pixel by pixel to acquire a corresponding difference value processing image and outputting the difference value processing image;
the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit, and is used for receiving the high-pass filtering image and the difference value processing image, performing feature enhancement processing on the high-pass filtering image to obtain and output a corresponding feature enhanced image, and adding the feature enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image;
and the flame extraction unit is connected with the targeted processing unit and used for receiving the reconstructed image, acquiring the gray value of each pixel point in the reconstructed image, setting the pixel points with the gray values within the range of the preset flame gray value as flame pixel points, forming one or more flame objects by each flame pixel point in the reconstructed image, and outputting the number of the flame objects in the reconstructed image as the number of real-time flames.
Further, the display switching unit is further connected with the flame extraction unit, and is configured to, when the number of the real-time flames is not zero, cause the lamp body to display red, and determine a corresponding red depth based on the number of the real-time flames.
Further, in the display switching unit, determining the corresponding red depth based on the real-time flame number includes: the greater the number of real-time flames, the deeper the determined corresponding red depth; the display switching unit is also used for enabling the lamp body to display white when the number of the real-time flames is zero.
Further, in the data comparison unit, analyzing the degree of change of each histogram profile includes: for each gray distribution range, determining a degree of change of each histogram profile within the gray distribution range as a sub-range degree of change, and calculating the image level change degree based on each sub-range degree of change of each gray distribution range and each weight of each gray distribution range.
Further, the gray distribution ranges are all between 0 and 255 and are uniformly distributed between 0 and 255, and the weights of the gray distribution ranges are different; for each weight of each gray scale distribution range, the closer to the gray scale distribution range of 125, the greater the weight thereof; the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the surrounding image is.
Further, the deviation degree identification unit and the background stripping unit are realized by adopting different SOC (System on chip) chips; the background stripping unit is realized by adopting a DSP (digital Signal processing) processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the Signal-to-noise ratio detection unit and the background stripping unit so as to store each threshold value of each block determined by the Signal-to-noise ratio detection unit.
(III) advantageous effects
The lampshade of the ceiling lamp is matched with the dovetail protrusions of the base through the dovetail grooves, the connection and disassembly mode of the lampshade and the base is simple, the lampshade is convenient to disassemble, and the lamp body is convenient to replace; the whole structure is simple, and the lampshade can be directly detached without professional persons.
Drawings
FIG. 1 is a schematic view of a ceiling light according to the present invention;
wherein: the lamp comprises a base 1, a lamp body 2, a lamp shade 3, a positioning boss 4, a dovetail bulge 5 and a dovetail groove 6.
Detailed Description
Referring to fig. 1, the present invention provides a ceiling lamp including: base 1, lamp body 2 and front and back symmetry detachably install lamp shade 3 on base 1, are provided with location boss 4 on the base 1, and lamp body 2 is installed on location boss 4, and the both sides of location boss 4 are provided with forked tail arch 5 respectively, are provided with on the lamp shade 3 with forked tail arch 5 matched with dovetail 6. When the lamp shade is installed, the dovetail groove 6 of the lamp shade 3 is matched with the dovetail protrusion 5 of the positioning boss 4, and the lamp shade 3 is installed on the base 1; when the lamp body 2 is maintained and replaced, only the dovetail groove 6 of the lamp shade 3 needs to be reversely separated from the dovetail protrusion 5 of the positioning boss 4, the whole structure is simple, the lamp body is convenient to detach and replace, and the lamp shade can be directly detached without professional persons.
The ceiling lamp is generally installed indoors, if a fire disaster occurs indoors, nearby people cannot determine the situation of the fire disaster on site, more scene information cannot be provided for the nearby people, and the ceiling lamp is not designed intelligently enough; therefore, the present embodiment further includes:
a display switching unit for switching different colors for the lamp body 2;
the data acquisition unit is used for acquiring image data of the surrounding environment of the ceiling lamp to obtain a corresponding surrounding environment image;
the data extraction unit is connected with the data acquisition unit and is used for acquiring multiple frames of surrounding environment images which are continuous in time;
the data analysis unit is connected with the data extraction unit and used for executing the following operations on each frame of surrounding environment image: determining each gray value of each pixel point of the surrounding environment image, and performing histogram processing on the surrounding environment image based on each gray value of each pixel point to obtain a corresponding histogram distribution map;
the data comparison unit is connected with the data analysis unit and used for acquiring each histogram distribution graph corresponding to each multi-frame surrounding environment image, analyzing the change degree of each histogram distribution graph to acquire the image level change degree, and sending a position correction signal when the image level change degree exceeds the limit, and sending a position holding signal when the image level change degree does not exceed the limit;
the holder control unit is connected with the holder of the data acquisition unit and the data comparison unit and is used for correspondingly correcting the position of the holder according to the image level variation degree when receiving the position correction signal;
the deviation degree identification unit is connected with the data acquisition unit and used for receiving the surrounding environment image, acquiring each brightness value of each pixel point of the surrounding environment image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the surrounding environment image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block;
the background stripping unit is connected with the deviation degree identification unit and used for executing background segmentation processing on each segmentation block on the basis of the determined threshold value so as to obtain a corresponding to-be-identified block, fitting each to-be-identified block of each segmentation block so as to obtain an to-be-identified image and outputting the to-be-identified image;
the self-adaptive high-frequency analysis unit is connected with the background stripping unit and used for receiving the image to be identified, carrying out contrast measurement on the image to be identified so as to obtain the real-time contrast corresponding to the image to be identified, and determining the high-frequency distribution frequency band in the corresponding image to be identified based on the real-time contrast so as to output the high-frequency distribution frequency band as a target frequency band;
the image differentiation unit is respectively connected with the frequency band extraction unit and the contrast measurement unit and is used for receiving the target frequency band and the image to be identified, executing high-pass filtering processing based on the target frequency band on the image to be identified so as to obtain a corresponding high-pass filtering image and outputting the high-pass filtering image;
the difference value acquisition unit is connected with the image differentiation unit and is used for acquiring an image to be identified and a high-pass filtering image, and also used for subtracting the high-pass filtering image from the image to be identified pixel by pixel to acquire a corresponding difference value processing image and outputting the difference value processing image;
the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit and is used for receiving the high-pass filtering image and the difference value processing image, performing characteristic enhancement processing on the high-pass filtering image to obtain and output a corresponding characteristic enhanced image, adding the characteristic enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image;
and the flame extraction unit is connected with the targeted processing unit and used for receiving the reconstructed image, acquiring the gray value of each pixel point in the reconstructed image, setting the pixel points with the gray values within the range of the preset flame gray value as flame pixel points, forming one or more flame objects by each flame pixel point in the reconstructed image, and outputting the number of the flame objects in the reconstructed image as the number of the real-time flames.
The display switching unit is also connected with the flame extraction unit and is used for enabling the lamp body 2 to display red when the real-time flame number is not zero and determining the corresponding red depth based on the real-time flame number; in the display switching unit, determining the respective red depths based on the real-time flame numbers includes: the larger the number of real-time flames, the deeper the determined corresponding red depth; the display switching unit is also used for enabling the lamp body 2 to display white and display normal lighting color when the number of the real-time flames is zero.
In the data comparison unit, analyzing the degree of change of each histogram profile includes: for each gray distribution range, the variation degree of each histogram profile within the gray distribution range is determined as a sub-range variation degree, and the image level variation degree is calculated based on each sub-range variation degree of each gray distribution range and each weight of each gray distribution range.
Each gray distribution range falls between 0 and 255 and is uniformly distributed between 0 and 255, and each weight of each gray distribution range is different; for each weight of each gray scale distribution range, the closer to the gray scale distribution range of 125, the greater the weight thereof; the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the surrounding image is.
The deviation degree identification unit and the background peeling unit are realized by adopting different SOC chips (integrated circuit chips); the background stripping unit is realized by adopting a DSP processing chip (a chip capable of realizing a digital signal processing technology), and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the signal-to-noise ratio detection unit and the background stripping unit so as to store each threshold value of each block determined by the signal-to-noise ratio detection unit.
The DSP processing chip adopts a Harvard structure with separated programs and data, is provided with a special hardware multiplier, widely adopts pipeline operation, provides special DSP instructions, and can be used for quickly realizing various digital signal processing algorithms.
According to the requirement of digital signal processing, a DSP processing chip generally has some main features as follows: 1. one multiplication and one addition can be completed in one instruction cycle; 2. the program and the data space are separated, and the instruction and the data can be accessed simultaneously; 3. the chip is provided with a fast RAM which can be accessed in two blocks at the same time through independent data buses; 4. hardware support with low or no overhead loops and jumps; 5. fast interrupt handling and hardware I/O support; 6. having a plurality of hardware address generators operating in a single cycle; 7. multiple operations may be performed in parallel; 8. and pipeline operation is supported, so that the operations of fetching, decoding, executing and the like can be executed in an overlapping way.
The ceiling lamp has high intelligent degree, and the lamp body is displayed red from white after the real-time flame number is detected to be nonzero; the mode of determining the corresponding red depth based on the number of real-time flames comprises the following steps: the larger the number of the real-time flames is, the deeper the determined corresponding red depth is, so that more scene information is provided for people nearby; a self-adaptive image sharpening processing mode is adopted, so that the image sharpening effect is ensured; based on the detection of brightness and the noise analysis of block data, the image to be recognized with the background stripped is obtained, and the accuracy of subsequent image recognition operation is improved; the histogram distribution graph of each frame in the continuous frames is obtained, whether the data acquisition unit deviates from the preset position or not is determined based on the comparison result of the histogram distribution graph of each frame, and corresponding correction is carried out, so that the monitoring effectiveness is improved, and the technical problem is solved.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make several improvements and modifications without departing from the technical principle of the present invention, and these improvements and modifications should also be considered as the protection scope of the present invention.
Claims (7)
1. A ceiling lamp, comprising: base (1), lamp body (2) and front and back symmetry detachably install lamp shade (3) on base (1), be provided with location boss (4) on base (1), install lamp body (2) on location boss (4), the both sides of location boss (4) are provided with forked tail arch (5) respectively, be provided with on lamp shade (3) with forked tail arch (5) matched with dovetail (6).
2. A ceiling lamp as claimed in claim 1, further comprising:
the display switching unit is used for switching different colors for the display of the lamp body (2);
the data acquisition unit is used for acquiring image data of the surrounding environment where the ceiling lamp is located so as to obtain a corresponding surrounding environment image;
the data extraction unit is connected with the data acquisition unit and is used for acquiring multiple frames of surrounding environment images which are continuous in time;
the data analysis unit is connected with the data extraction unit and used for executing the following operations on each frame of surrounding environment image: determining each gray value of each pixel point of the surrounding environment image, and performing histogram processing on the surrounding environment image based on each gray value of each pixel point to obtain a corresponding histogram distribution map;
the data comparison unit is connected with the data analysis unit and used for acquiring each histogram distribution graph corresponding to a plurality of frames of surrounding environment images respectively, analyzing the variation degree of each histogram distribution graph to acquire the image level variation degree, and sending a position correction signal when the image level variation degree exceeds the limit, and sending a position maintaining signal when the image level variation degree does not exceed the limit;
the holder control unit is connected with the holder of the data acquisition unit and the data comparison unit and is used for correspondingly correcting the position of the holder according to the image level change degree when receiving the position correction signal;
the deviation degree identification unit is connected with the data acquisition unit and used for receiving a surrounding environment image, acquiring each brightness value of each pixel point of the surrounding environment image, performing standard deviation calculation on each brightness value, taking the obtained numerical value of the standard deviation as reference data, performing uniform segmentation on the surrounding environment image based on the reference data to obtain a plurality of segmentation blocks, detecting three noise types with the first three amplitude values in the segmentation blocks aiming at each segmentation block, determining the signal-to-noise ratio of the segmentation block based on the amplitude values respectively corresponding to the three noise types, and determining the threshold size for performing background segmentation on the segmentation block based on the signal-to-noise ratio of the segmentation block;
the background stripping unit is connected with the deviation degree identification unit and used for executing background segmentation processing on each segmentation block based on a determined threshold value so as to obtain a corresponding block to be identified, fitting each block to be identified of each segmentation block so as to obtain an image to be identified and outputting the image to be identified;
the self-adaptive high-frequency analysis unit is connected with the background stripping unit and used for receiving the image to be identified, carrying out contrast measurement on the image to be identified so as to obtain the real-time contrast corresponding to the image to be identified, and determining the corresponding high-frequency distribution frequency band in the image to be identified based on the real-time contrast so as to output the high-frequency distribution frequency band as a target frequency band;
the image differentiation unit is respectively connected with the frequency band extraction unit and the contrast measurement unit and is used for receiving the target frequency band and the image to be identified, executing high-pass filtering processing based on the target frequency band on the image to be identified so as to obtain a corresponding high-pass filtering image and outputting the high-pass filtering image;
the difference value acquisition unit is connected with the image differentiation unit and is used for acquiring the image to be identified and the high-pass filtering image, and is also used for subtracting the high-pass filtering image from the image to be identified pixel by pixel to acquire a corresponding difference value processing image and outputting the difference value processing image;
the targeted processing unit is respectively connected with the difference value acquisition unit and the image differentiation unit, and is used for receiving the high-pass filtering image and the difference value processing image, performing feature enhancement processing on the high-pass filtering image to obtain and output a corresponding feature enhanced image, and adding the feature enhanced image and the difference value processing image pixel by pixel to obtain a corresponding reconstructed image and outputting the reconstructed image;
and the flame extraction unit is connected with the targeted processing unit and used for receiving the reconstructed image, acquiring the gray value of each pixel point in the reconstructed image, setting the pixel points with the gray values within the range of the preset flame gray value as flame pixel points, forming one or more flame objects by each flame pixel point in the reconstructed image, and outputting the number of the flame objects in the reconstructed image as the number of real-time flames.
3. A ceiling lamp according to claim 2, wherein the display switching unit is further connected to the flame extraction unit for causing the lamp body (2) to display red when the number of real-time flames is non-zero and determining a corresponding red depth based on the number of real-time flames.
4. The ceiling light of claim 3, wherein determining, in the display switching unit, the respective red depth based on the real-time flame number comprises: the greater the number of real-time flames, the deeper the determined corresponding red depth; the display switching unit is also used for enabling the lamp body (2) to display white when the number of the real-time flames is zero.
5. The ceiling light of claim 4, wherein in the data comparison unit, the analyzing the degree of change of the respective histogram profiles comprises: for each gray distribution range, determining a degree of change of each histogram profile within the gray distribution range as a sub-range degree of change, and calculating the image level change degree based on each sub-range degree of change of each gray distribution range and each weight of each gray distribution range.
6. The ceiling lamp according to claim 5, wherein each of the gray scale distribution ranges falls between 0 and 255, and is uniformly distributed between 0 and 255, and each weight of each gray scale distribution range is different; for each weight of each gray scale distribution range, the closer to the gray scale distribution range of 125, the greater the weight thereof; the larger the reference data is, the larger the number of divided blocks obtained by uniformly dividing the surrounding image is.
7. The ceiling lamp according to claim 6, wherein the deviation degree recognition unit and the background peeling unit are implemented using different SOC chips; the background stripping unit is realized by adopting a DSP processing chip, and the DSP processing chip also comprises a built-in storage unit which is respectively connected with the signal-to-noise ratio detection unit and the background stripping unit so as to store each threshold value of each block determined by the signal-to-noise ratio detection unit.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911079259.9A CN111006153A (en) | 2019-11-07 | 2019-11-07 | Ceiling lamp |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911079259.9A CN111006153A (en) | 2019-11-07 | 2019-11-07 | Ceiling lamp |
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| CN111006153A true CN111006153A (en) | 2020-04-14 |
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| CN201911079259.9A Withdrawn CN111006153A (en) | 2019-11-07 | 2019-11-07 | Ceiling lamp |
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| CN109224341A (en) * | 2018-08-14 | 2019-01-18 | 浙江大丰实业股份有限公司 | Fire Curtain isolation effect verifying bench |
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2019
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|---|---|---|---|---|
| CN201259127Y (en) * | 2008-08-29 | 2009-06-17 | 赵卫党 | Embedded ceiling lamp |
| CN202012824U (en) * | 2010-11-15 | 2011-10-19 | 梅州江南电器有限公司 | LED lamp affixed to the ceiling |
| CN203549439U (en) * | 2013-07-24 | 2014-04-16 | 重庆名亨科技有限公司 | Industrial and mining lamp |
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