CN108024412A - The eye-protecting lamp of automatic regulating lightness and the method for automatic regulating lightness - Google Patents
The eye-protecting lamp of automatic regulating lightness and the method for automatic regulating lightness Download PDFInfo
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- 230000001105 regulatory effect Effects 0.000 title abstract 5
- 210000004709 eyebrow Anatomy 0.000 claims description 30
- 210000003128 head Anatomy 0.000 claims description 4
- 210000000744 eyelid Anatomy 0.000 description 28
- 238000010586 diagram Methods 0.000 description 15
- 238000001914 filtration Methods 0.000 description 4
- 230000001965 increasing effect Effects 0.000 description 3
- 239000003086 colorant Substances 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 208000003464 asthenopia Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 230000004438 eyesight Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000003706 image smoothing Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/30—Semiconductor lamps, e.g. solid state lamps [SSL] light emitting diodes [LED] or organic LED [OLED]
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Abstract
The present invention relates to a kind of eye-protecting lamp of automatic regulating lightness (10) and the method for automatic regulating lightness, the eye-protecting lamp to include：Lamp cap (101), lamp stand (102) and base (103), further include automatic brightness-regulating system (104)；Wherein, the lamp stand (102) connects the lamp cap (101) and base (103) respectively；The automatic brightness-regulating system (104) is electrically connected with the lamp cap (101).Eye-protecting lamp provided by the invention, eye state automatic regulating lightness when can be used according to user, so that the eyes of user reach most comfortable state, so as to play the role of protect eyes.
Description
Technical Field
The invention relates to the field of illumination, in particular to an eye-protecting lamp capable of automatically adjusting brightness and a method for automatically adjusting the brightness.
Background
The long-term study under the light can easily cause eye fatigue and even irreparable damage to the eyes. To solve such problems, various types of eye-protection lamps are available on the market.
Eye-protecting lamps currently provided in the market mainly adjust the light brightness through sensing the external light intensity. Referring to fig. 1, fig. 1 is a schematic structural diagram of an eye-protection lamp in the prior art. The light sensor 1 is arranged outside the lampshade 3 of the eye protection lamp, the controller 6 is arranged at the tail end of the lampshade 3, and the controller 6 is in circuit connection with the light sensor 1 through a lead 4. The light sensor 1 feeds back the sensed light intensity in the irradiation range of the desk lamp to the controller 6, and the controller 6 gives an instruction to control the brightness of the LED bulb 2. The desk lamp capable of automatically adjusting the brightness realizes automatic adjustment of the illumination brightness of the desk lamp according to actual needs, and is favorable for protecting eyesight.
However, the existing solutions, which are passively accepted by the eyes, are that the human eyes passively adapt to the brightness of the eyes regardless of whether the adjusted brightness is optimal or not, and therefore, the effect of protecting the eyes cannot be achieved.
Disclosure of Invention
In order to solve the above technical problem, the present invention provides an eye-protecting lamp (10) capable of automatically adjusting brightness, comprising: the lamp comprises a lamp holder (101), a lamp post (102) and a base (103), and is characterized by further comprising an automatic brightness adjusting system (104); wherein,
the lamp post (102) is respectively connected with the lamp holder (101) and the base (103);
the automatic brightness adjusting system (104) is electrically connected with the lamp head (101).
In one embodiment of the present invention, the automatic brightness adjustment system (104) includes an image recognition device (1041), a microprocessor (1042), a regulator (1043), a rectification circuit (1044), and a memory (1045); wherein,
the image recognition device (1041), the microprocessor (1042), the regulator (1043) and the rectification circuit (1044) are sequentially and electrically connected in series; the rectifying circuit (1044) is electrically connected with the lamp holder (101) to drive the lamp in the lamp holder (101) to emit light;
the memory (1045) is electrically connected to the microprocessor (1042).
In one embodiment of the invention, the memory (1045) is an EPROM.
In one embodiment of the invention, the image recognition device (1041) is a camera.
In one embodiment of the invention, the microprocessor (1042) is an ARM chip or an MCU chip.
In one embodiment of the invention, the regulator (1043) is a variable transformer.
In another embodiment of the present invention, the rectifying circuit (1044) includes a first rectifying diode (D1), a second rectifying diode (D2), a third rectifying diode (D3) and a fourth rectifying diode (D4); wherein,
a node (M) formed by connecting the anode of the first rectifying diode (D1) and the cathode of the fourth rectifying diode (D4) and a node (N) formed by connecting the anode of the second rectifying diode (D2) and the cathode of the third rectifying diode (D3) are respectively and electrically connected with two output ends of the regulator (1043);
a node (O) formed by connecting the cathode of the first rectifying diode (D1) and the cathode of the second rectifying diode (D2) and a node (P) formed by connecting the anode of the third rectifying diode (D3) and the anode of the fourth rectifying diode (D4) are respectively and electrically connected with two ends of the lamp holder (101).
In one embodiment of the invention, the automatic brightness adjustment system (102) further comprises a resetter (1046); the restorer (1046) is electrically connected with the memory (1045).
In another embodiment of the present invention, there is provided a method of automatically adjusting brightness, including:
(a) acquiring eye state information;
(b) comparing the state information with an eye state threshold value to form a control instruction;
(c) and adjusting the brightness of the eye-protection lamp according to the control instruction.
In another embodiment of the present invention, step (a) comprises:
(a1) acquiring a face image;
(a2) respectively identifying area images of eyebrows and eyes in the face image;
(a3) and detecting the eye state according to the distance between the eyebrows and the eyes in the area image.
Compared with the prior art, the invention has the following beneficial effects:
the eye-protecting lamp provided by the invention can automatically adjust the brightness according to the eye state of a user when the eye-protecting lamp is used, so that the eyes of the user can reach the most comfortable state, and the eye-protecting lamp plays a role in protecting the eyes.
Drawings
The following detailed description of embodiments of the invention will be made with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of an eye-protecting lamp in the prior art;
fig. 2 is a schematic structural view of an eye-protecting type eye-protecting lamp capable of automatically adjusting brightness according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an automatic brightness adjustment system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a rectifier circuit according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of another automatic brightness adjustment system according to an embodiment of the present invention;
fig. 6 is a schematic diagram illustrating a method for automatically adjusting brightness of an eye-protection lamp according to an embodiment of the present invention;
fig. 7 is a schematic diagram of an eye state information obtaining method according to an embodiment of the present invention;
fig. 8 is a schematic diagram of coordinate sampling points of eyebrows and eyes in a human face image according to an embodiment of the present invention;
fig. 9 is a method for automatically adjusting brightness of an eye-protecting lamp according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be described in further detail with reference to the accompanying drawings.
Example one
Referring to fig. 2, fig. 2 is a schematic structural diagram of an eye-protection lamp capable of automatically adjusting brightness according to an embodiment of the present invention. The eye-protection lamp (10) comprises: the lamp comprises a lamp holder (101), a lamp post (102) and a base (103), and is characterized by further comprising an automatic brightness adjusting system (104); wherein,
the lamp post (102) is respectively connected with the lamp holder (101) and the base (103);
the automatic brightness adjusting system (104) is electrically connected with the lamp head (101).
Further, on the basis of the above embodiment, please refer to fig. 3, fig. 3 is a schematic structural diagram of an automatic brightness adjustment system according to an embodiment of the present invention; the automatic brightness adjusting system (104) comprises an image recognition device (1041), a microprocessor (1042), a regulator (1043), a rectifying circuit (1044) and a memory (1045); wherein,
the image recognition device (1041), the microprocessor (1042), the regulator (1043) and the rectification circuit (1044) are sequentially and electrically connected in series; the rectifying circuit (1044) is electrically connected with the lamp holder (101) to drive the lamp in the lamp holder (101) to emit light;
the memory (1045) is electrically connected to the microprocessor (1042).
Further, on the basis of the above embodiment, the memory (1045) is an EPROM.
Further, on the basis of the above embodiment, the image recognition device (1041) is a camera.
Further, on the basis of the above embodiment, the microprocessor (1042) is an ARM chip or an MCU chip.
Further, on the basis of the above embodiment, the regulator (1043) is an adjustable transformer.
Further, on the basis of the above embodiments, please refer to fig. 4, fig. 4 is a schematic structural diagram of a rectifier circuit according to an embodiment of the present invention, in which the rectifier circuit (1044) includes a first rectifier diode (D1), a second rectifier diode (D2), a third rectifier diode (D3), and a fourth rectifier diode (D4); wherein,
a node (M) formed by connecting the anode of the first rectifying diode (D1) and the cathode of the fourth rectifying diode (D4) and a node (N) formed by connecting the anode of the second rectifying diode (D2) and the cathode of the third rectifying diode (D3) are respectively and electrically connected with two output ends of the regulator (1043);
a node (O) formed by connecting the cathode of the first rectifying diode (D1) and the cathode of the second rectifying diode (D2) and a node (P) formed by connecting the anode of the third rectifying diode (D3) and the anode of the fourth rectifying diode (D4) are respectively and electrically connected with two ends of the lamp holder (101).
Further, on the basis of the above embodiment, please refer to fig. 5, fig. 5 is a schematic structural diagram of another automatic brightness adjustment system according to an embodiment of the present invention; the automatic brightness adjusting system (102) further comprises a restorer (1046); the restorer (1046) is electrically connected with the memory (1045).
The eye protection lamp provided in the embodiment enables eyes of a user to reach the most comfortable state by adding the functions of eye state identification and automatic brightness adjustment, thereby playing a role in protecting the eyes.
Example two
The present embodiment further illustrates the working principle and implementation of the present invention on the basis of the first embodiment.
In the embodiment, the image recognition device (1041) is used as a camera arranged on the front surface of the base (103) or as an external camera, and the camera can acquire a face image of a user sitting in front of the eye-protecting lamp (10); the microprocessor (1042) is an ARM chip, the ARM chip can be arranged in the base (103), can read and run brightness automatic adjusting software stored in the memory (1045), can also process face image data sent by the camera and calculate eye state information, compares the eye state information with an eye state threshold value and generates a control instruction; the regulator (1043) is, for example, an adjustable transformer, which may be disposed inside the base (103), and its input end is electrically connected to the external power supply, and its output end is electrically connected to the rectification circuit (1044); the memory (1045) is an EPROM, the EPROM can be arranged in the base (103) and is electrically connected with the ARM chip, and the EPROM can be used for storing the brightness automatic adjusting software and the eye state threshold value; the resetter is electrically connected to the EPROM for clearing the eye state threshold stored in the EPROM.
Referring to fig. 6, fig. 6 is a schematic view illustrating a method for automatically adjusting brightness of an eye-protection lamp according to an embodiment of the present invention. The method comprises the following steps:
(a) acquiring eye state information;
(b) comparing the state information with an eye state threshold value to form a control instruction;
(c) and adjusting the brightness of the eye-protection lamp according to the control instruction.
Before the step (a), the method also comprises the step of setting an eye state threshold value (the eye state threshold value is a parameter when the eye is in a normal state and is marked as theta)Threshold value) The eye state threshold is obtained by the following method: the ARM chip controls brightness automatic regulation software to be started, after a software program runs, the camera is controlled to collect face images, at the moment, the software can prompt a user to initialize the eye state, the user keeps eyes in a normal state, the head is in a normal sitting position in front of an eye protection lamp, the user can click an initialization button in the software at the moment, the software receives an instruction and then controls the camera to collect the current face image, the eye state data is obtained through analysis, and after repeated collection for many times, the average value of the eye state is obtained and then is used as the threshold value of the eye state.
In the step (a), the eye state information is an eye state real-time parameter calculated according to the relevant information of the eyes in the face image, and is recorded as θ. How to acquire the eye state information will be described in detail in the third embodiment and the fourth embodiment, which will not be described here;
in the step (b), after the ARM chip calculates theta according to the face image, the theta stored in the hard disk is readThreshold valueComparing the two to form a control command; wherein if within a certain time (for example, 2-5 s), the theta and the thetaThreshold valueThe ratio of (A) is less than 95%Then a first control command is formed, specifically according to (1-theta/theta)Threshold value) Reducing the driving voltage of the lamp cap by a ratio of (a); if within a certain time (for example, 2-5 s), the theta and the thetaThreshold valueIf the ratio is greater than 105%, a second control command is formed, specifically according to (theta/theta)Threshold value-1) increasing the driving voltage of the burner;
in step 3, the adjustable transformer receives and executes the control instruction sent by the ARM chip, specifically: if the adjustable transformer receives a first control instruction sent by the ARM chip, pressing according to (1-theta/theta)Threshold value) The driving current of the lamp holder is reduced according to the proportion of (1) so as to reduce the brightness of the lamp holder according to a certain proportion; if the adjustable transformer receives a second control instruction which is the instruction sent by the ARM chip, pressing according to (theta/theta)Threshold value-1) increasing the drive current of the burner such that the brightness of the burner is increased proportionally.
EXAMPLE III
Referring to fig. 7, fig. 7 is a schematic diagram illustrating an eye state information obtaining method according to an embodiment of the invention. The method comprises the following steps:
step 1, obtaining a face image;
step 2, identifying eyebrow and eye region images in the face image respectively;
and 3, detecting the eye state according to the distance between the eyebrows and the eyes in the area image.
Wherein, after step 1, it can further include:
carrying out gray processing on the face image;
carrying out median filtering processing on the face image subjected to graying processing;
and carrying out histogram equalization processing on the face image subjected to the median filtering processing.
Wherein, for step 2, may include:
roughly positioning a first region of the eyebrows and the eyes in the face image by adopting a projection method for the face image;
and accurately positioning a second area of the eyebrows and the eyes in the face image by adopting a template matching method for the first area so as to finish the identification of the area image.
Wherein, for step 3, it may include:
calculating a first relative distance of the eyebrow to an upper eyelid edge of the eye;
calculating a second relative distance of the eyebrow to a lower eyelid edge of the eye;
calculating an absolute distance of an upper eyelid edge and a lower eyelid edge of the eye;
and detecting the eye state according to the first relative distance, the second relative distance and the absolute distance.
Wherein, for calculating the first relative distance from the eyebrow to the upper eyelid edge of the eye in step 3, it may include:
taking X points at random in the eyebrow area, and calculating the eyebrow coordinate average value of the X points;
selecting N points on the upper eyelid edge of the eye area, and respectively calculating the upper eyelid coordinate average value of the N points;
and determining the first relative distance according to the eyebrow coordinate average value and the upper eyelid coordinate average value.
Wherein, for calculating the second relative distance from the eyebrow to the lower eyelid edge of the eye in step 3, it may include:
selecting N points on the lower eyelid edge of the eye area, and respectively calculating the lower eyelid coordinate average value of the N points;
and determining the second relative distance according to the eyebrow coordinate average value and the lower eyelid coordinate average value.
Wherein, for calculating the absolute distance between the upper eyelid edge and the lower eyelid edge of the eye in step 3, it may include:
respectively taking M points at the upper eyelid edge and the lower eyelid edge, and respectively calculating a first average value of the M points at the upper eyelid edge and a second average value of the M points at the lower eyelid edge;
and calculating the absolute distance according to the first average value and the second average value.
Wherein, for detecting the eye state according to the first relative distance, the second relative distance and the absolute distance in step 3, the method may include:
and performing error compensation according to the first relative distance, the second relative distance and the absolute distance, determining an eye state formula, and judging the eye state by calculating the eye state formula.
Further, the eye state formula is:
wherein, T1Is said second relative distance, T2Is the absolute distance, T3For said first relative distance, OFFSET1And OFFSET2And compensating errors for acquiring the face image.
Further, the error compensation is manually set by a human.
Example four
On the basis of the third embodiment, the present embodiment further describes the eye state information acquisition method.
The method comprises the following steps:
step 1, obtaining a face image;
the human face image is obtained through the image recognition device and sent to the microprocessor.
Step 2, preprocessing the face image;
21) carrying out gray processing on face image
Graying of an image is a process of equalizing RGB component values of colors. Since the value range of RGB is 0-255, the gray level is 256 levels, that is, the gray image can express 256 colors.
The gray stretching is carried out after the face image is subjected to gray processing, namely, the original compressed histogram is separated by a mapping method, namely, the gray stretching is carried out, and a clearer face image is obtained.
22) Median filtering of face images
The median filtering method is a non-linear image smoothing method, and is characterized by that the gray levels of all pixels in a sliding window are sorted, and the central pixel of the window is substituted by its intermediate value, and if there are even number of pixels in the window, the average of two intermediate values is taken.
23) Histogram equalization of face images
Let f (i, j), g (i, j) (i is 1, 2 … M; j is 1, 2 … N) be the original face image and the processed face image, respectively, and the graying range of the face image is [0, 255], and the histogram equalization method is specifically as follows:
(231) original drawing [ f (i, j)]M×NThe gray level histogram of (2) is defined by a 256-dimensional vector hfRepresents;
(232) from hfFor obtaining original face imageProbability of gray distribution, denoted as pfThen, then
Wherein N isFM × N (M, N are the length and width of the image, respectively) is the total number of pixels of the image;
(233) calculating the cumulative distribution probability of each gray value of the face image, and recording as paThen there is
Wherein, let pa(0)＝0。
(231) Performing histogram equalization calculation, wherein the pixel values of the processed image are as follows:
g(i,j)＝255·pa(k) (3)
24) binarization of face image
The face image is binarized by using a maximum inter-class variance threshold segmentation method.
Step 3, determining the characteristics of eyes and eyebrows in the face image, and positioning the areas of the eyes and the eyebrows;
referring to fig. 8, fig. 8 is a schematic diagram illustrating image recognition of eyebrow and eye areas in a face image according to an embodiment of the present invention.
And reducing the face image to a small area with only eyebrows and eyes by adopting a projection method, and roughly positioning the areas of the eyebrows and the eyes.
And denoising and enhancing the area images of the eyebrows and the eyes. From the vertical direction, the eyes are arranged under the eyebrows, and the eyebrow area can be located by searching from top to bottom.
And precisely positioning the eye region by adopting a template matching method.
The traditional template matching method is used for matching in the whole image, and not only is the operation amount large, but also the interference factors are large. In the invention, because the region of the eyes is roughly positioned and the influence of organs such as the nose, the mouth and the like is avoided, the image is continuously horizontally and vertically projected, and the intersection point is taken and positioned as the position of the eyes, thereby improving the accuracy.
Step 4-step 6 please refer to fig. 9, fig. 9 is a schematic diagram of coordinate sampling points of eyebrows and eyes in a human face image according to an embodiment of the present invention.
Step 4, calculating the first relative distance
Randomly taking X points in the eyebrow area, and calculating the eyebrow coordinate average value of the X points;
selecting N points on the upper eyelid edge of the eye area, and respectively calculating the upper eyelid coordinate average value of the N points;
and the root subtracts the coordinate average value of the upper eyelid from the coordinate average value of the eyebrow to obtain a first relative distance.
Step 5, calculating the second relative distance
Selecting N points at the edge of the lower eyelid of the eye area, and respectively calculating the average value of the coordinates of the lower eyelid of the N points;
and subtracting the coordinate average value of the lower eyelid from the coordinate average value of the eyebrows to obtain a second relative distance.
Step 6, calculating absolute distance
Respectively taking M points at the upper eyelid edge and the lower eyelid edge;
respectively calculating a first average value of M points of the upper eyelid edge and a second average value of M points of the lower eyelid edge;
and subtracting the second average value from the first average value to obtain the absolute distance.
Step 7, judging the eye state
The eye state formula is as follows:
wherein, T1Is a second relative distance, T2As absolute distance, T3Is a first relative distance, OFFSET1And OFFSET2In order to collect error compensation of the face image, the error compensation needs manual setting due to different machines.
And (4) substituting the first relative distance, the second relative distance, the absolute distance and the preset error compensation obtained in the step (4-6) into the eye state formula to obtain the value of theta.
When theta is smaller and is closer to 0, the eyes are closed, and the theoretical maximum value of theta is 0 under an ideal condition;
conversely, the larger θ is, the closer to 1, the more open the eye is.
The value of θ at which the eyes are open varies from person to person due to individual differences, and therefore, the value of θ at which the eyes are open and in the most relaxed state can be varied from one individual to anotherThreshold valueAs an eye state threshold.
In summary, the structure and the implementation of the present invention are described herein by using specific examples, and the above description of the examples is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention, and the scope of the present invention should be subject to the appended claims.
Claims (10)
1. An eye-protecting lamp (10) capable of automatically adjusting brightness, comprising: the lamp comprises a lamp holder (101), a lamp post (102) and a base (103), and is characterized by further comprising an automatic brightness adjusting system (104); wherein,
the lamp post (102) is respectively connected with the lamp holder (101) and the base (103);
the automatic brightness adjusting system (104) is electrically connected with the lamp head (101).
2. Eye-protection lamp (10) according to claim 1, characterized in that said automatic brightness adjustment system (104) comprises an image recognition device (1041), a microprocessor (1042), a regulator (1043), a rectification circuit (1044) and a memory (1045); wherein,
the image recognition device (1041), the microprocessor (1042), the regulator (1043) and the rectification circuit (1044) are sequentially and electrically connected in series; the rectifying circuit (1044) is electrically connected with the lamp holder (101) to drive the lamp in the lamp holder (101) to emit light;
the memory (1045) is electrically connected to the microprocessor (1042).
3. An eye-protection lamp (10) according to claim 2, characterized in that said memory (1045) is an EPROM.
4. The eye-protection lamp (10) according to claim 2, wherein the image recognition device (1041) is a camera.
5. The system of claim 2, wherein the microprocessor (1042) is an ARM chip or an MCU chip.
6. An eye-shielding lamp (10) according to claim 2, wherein the regulator (1043) is a variable transformer.
7. The eye-protecting lamp (10) of claim 2, wherein the rectifying circuit (1044) comprises a first rectifying diode (D1), a second rectifying diode (D2), a third rectifying diode (D3) and a fourth rectifying diode (D4); wherein,
a node (M) formed by connecting the anode of the first rectifying diode (D1) and the cathode of the fourth rectifying diode (D4) and a node (N) formed by connecting the anode of the second rectifying diode (D2) and the cathode of the third rectifying diode (D3) are respectively and electrically connected with two output ends of the regulator (1043);
a node (O) formed by connecting the cathode of the first rectifying diode (D1) and the cathode of the second rectifying diode (D2) and a node (P) formed by connecting the anode of the third rectifying diode (D3) and the anode of the fourth rectifying diode (D4) are respectively and electrically connected with two ends of the lamp holder (101).
8. An eye-protection lamp (10) according to claim 2, characterized in that said automatic brightness adjustment system (102) further comprises a reset device (1046); the restorer (1046) is electrically connected with the memory (1045).
9. A method for automatically adjusting brightness, comprising:
(a) acquiring eye state information;
(b) comparing the state information with an eye state threshold value to form a control instruction;
(c) and adjusting the brightness of the eye-protection lamp according to the control instruction.
10. The method of claim 9, wherein step (a) comprises:
(a1) acquiring a face image;
(a2) respectively identifying area images of eyebrows and eyes in the face image;
(a3) and detecting the eye state according to the distance between the eyebrows and the eyes in the area image.
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