Intelligent eye protection system
Patent Information
- Application Number
- CN202311699777.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-11
- Publication Date
- 2026-10-30
AI Technical Summary
[0002]随着现代科技的发展和日益普及以及电子设备和互联网资讯的高速发展，儿童越来越多地使用电子设备，如电脑、平板电视和智能手机等，获取信息的方式和数量多元而且便捷，由于线上学习的兴起，越来越多的课程通过线上学习完成，儿童使用电子设备进行学习的机会和时间都在增加，然而长时间使用这些电子设备会对儿童的眼睛造成伤害，引起眼疲劳、干涩、近视等问题，儿童在专注投入学习或者阅读的时候无法注意到眼部疲劳或者定时休息缓解眼部疲劳，会加重眼部的损害，同时家长也难以及时关注到孩子的眼睛状态；儿童在书桌学习或者阅读时间过长以后，会由于疲劳而坐姿不端正，存在歪头、弓背、趴着、把头歪在胳膊上看书写字等情形，会进一步加重用眼疲劳和损害，此种问题只能倚靠家长不耐其烦的提醒和监督，然而不仅导致孩子厌烦，也难以及时提醒孩子，同时造成家长的劳累，因此如何及时检测到孩子眼睛疲劳并进行缓解，同时及时提醒孩子坐姿端正，要相关的技术解决此问题
[0013]进一步，姿态监测单元还包括提示模块，提示模块跟据健康距离的变化发出姿态矫正提示，提示包括声音、闪光、震动、喷气等至少一种方式。
Smart Images
Figure CN123020727A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present invention relate to, but are not limited to, the field of eye protection technology, and particularly to intelligent eye protection systems. Background Technology
[0002] With the development and increasing popularity of modern technology, as well as the rapid development of electronic devices and internet information, children are increasingly using electronic devices such as computers, flat-screen TVs, and smartphones. The ways and quantities of information they access are diverse and convenient. Due to the rise of online learning, more and more courses are being completed online, increasing children's opportunities and time spent using electronic devices for learning. However, prolonged use of these devices can damage children's eyes, causing eye fatigue, dryness, and myopia. Children, when focused on studying or reading, often fail to notice eye fatigue or take regular breaks to relieve it, exacerbating eye damage. Parents also find it difficult to monitor their children's eye condition in a timely manner. After prolonged study or reading at a desk, children may develop poor posture due to fatigue, such as tilting their heads, hunching their backs, slouching, or resting their heads on their arms while reading or writing, further aggravating eye fatigue and damage. This problem often relies on parents' patient reminders and supervision, which not only annoys children but also makes timely reminders difficult and exhausts parents. Therefore, relevant technologies are needed to address this issue, including timely detection and relief of children's eye fatigue and prompt reminders to maintain proper posture. Summary of the Invention
[0003] The following is an overview of the subject matter described in detail herein. This overview is not intended to limit the scope of the claims.
[0004] This invention provides an intelligent eye protection system, comprising a sensing unit for transmitting radar signals into a target space to identify the state of a target object and acquire state data; a fatigue monitoring unit for monitoring changes in the target object's eye color and adjusting ambient lighting based on these changes; a posture monitoring unit for monitoring and calculating changes in the distance between the target object's eyes and a reference point and providing posture correction prompts based on these changes; and a control unit that activates the fatigue monitoring unit and the posture monitoring unit based on the state data. Based on this, by detecting the target object's eye fatigue state, adjusting ambient lighting to alleviate eye fatigue, and monitoring and promptly alerting to abnormal postures, the system can effectively protect the target object's eye health and maintain proper posture.
[0005] Furthermore, the sensing unit includes a radar transmitting module, a radar receiving module, and a data processing module. The radar transmitting module transmits UWB radar waves into the target space.
[0006] Furthermore, the radar receiving module receives UWB radar echoes to generate point cloud maps, and the data processing module calculates and identifies target objects in the point cloud maps to generate status data.
[0007] Furthermore, when the target object is the human body, and the status data includes human body information, the control unit activates the fatigue monitoring unit and the posture monitoring unit to monitor the target object.
[0008] Furthermore, the fatigue monitoring unit includes a red-eye monitoring module, which monitors the eye color state of the target object and calculates the eye fatigue value based on the red range in the target object's eye color state.
[0009] Furthermore, the red-eye monitoring module is a viewfinder camera that takes a picture of the target object's eye, obtains the red area of the retina, and calculates the eye fatigue value based on the red area of the retina.
[0010] Furthermore, the fatigue monitoring unit also includes a lighting module. When the eye fatigue value reaches a preset fatigue threshold, the lighting module adjusts the ambient light effect to improve the eye color state.
[0011] Furthermore, the ambient lighting effect includes the brightness and color temperature of the ambient lights. The lighting module adjusts the ambient lights to emit light with a color temperature below 2200K to improve red-eye symptoms.
[0012] Furthermore, the state monitoring unit includes an imaging module, which captures an image of the target object's eye, obtains the iris pixel size on the imaging sensor of the imaging module, and calculates the healthy distance between the target object's eye and the imaging module based on the iris pixel size and the focal length of the imaging module.
[0013] Furthermore, the posture monitoring unit also includes a prompting module, which issues posture correction prompts based on changes in the health distance. The prompts can be made in at least one way, such as sound, flashing light, vibration, or air jet.
[0014] This invention includes: a sensing unit transmitting radar signals into the target space to identify the state of the target object and acquire state data; a fatigue monitoring unit monitoring changes in the target object's eye color and adjusting the ambient lighting effect based on the color changes; a posture monitoring unit monitoring and calculating changes in the distance between the target object's eyes and a reference point and providing posture correction prompts based on the distance changes; and a control unit waking up the fatigue monitoring unit and the posture monitoring unit based on the state data. By detecting the target object's eye fatigue state, adjusting the ambient lighting effect to alleviate eye fatigue, and monitoring abnormal posture of the target object and providing timely reminders, this invention can effectively protect the target object's eye health and maintain proper posture.
[0015] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the description, claims, and drawings. Attached Figure Description
[0016] The accompanying drawings are provided to further understand the technical solutions of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation on the technical solutions of the present invention.
[0017] Figure 1 This is a schematic diagram of the structure of an intelligent eye protection system provided in one embodiment of the present invention;
[0018] Figure 2 This is a schematic diagram of the imaging size of the iris on an imaging sensor according to an embodiment of the present invention;
[0019] Figure 3 This is a schematic diagram of the red-eye area provided in one embodiment of the present invention. Detailed Implementation
[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.
[0021] It should be understood that in the description of the embodiments of the present invention, at least one (or one item) means one and more, including one, greater than, less than, and exceeding are understood to exclude the number itself, and above, below, and within are understood to include the number itself. If the terms "first," "second," etc. are used in the description, they are only for the purpose of distinguishing technical features and should not be construed as indicating or implying relative importance or implicitly indicating the number of indicated technical features or the order of the indicated technical features.
[0022] One embodiment of the present invention provides an intelligent eye protection system. A sensing unit emits radar signals into the target space to identify the state of the target object and acquire state data. A fatigue monitoring unit monitors changes in the target object's eye color and adjusts the ambient lighting effect based on these changes. A posture monitoring unit monitors and calculates changes in the distance between the target object's eyes and a reference point, and provides posture correction prompts based on these distance changes. A control unit wakes up the fatigue monitoring unit and the posture monitoring unit based on the state data identified by the sensing unit. The fatigue monitoring unit monitors the fatigue state of the target object and adjusts the ambient lighting effect to alleviate eye fatigue. Simultaneously, the posture monitoring unit detects the target object's posture and promptly reminds users to correct abnormal postures, thus protecting eye health.
[0023] like Figure 1 As shown, Figure 1This invention provides an intelligent eye protection system, comprising a sensing unit for transmitting radar signals into a target space to identify the state of a target object and acquire state data. Specifically, the sensing unit is positioned near the target object to sense whether the target object is within the target space. The target object exists in two states: within the target space and not within the target space. The sensing unit detects the target object's state within the target space by transmitting radar waves into the target space and generates state data. When the target object is present in the target space, the transmitted radar waves reach the target object and reflect back. The received radar echo contains information about the target object, indicating that the presence of the target object is detected. The system then sends state data to the control unit, activating the fatigue monitoring unit and the posture monitoring unit. The fatigue monitoring unit monitors changes in the target object's eye color and adjusts the ambient lighting effect based on these changes. Specifically, the fatigue monitoring unit is placed near the target object and can monitor the target object's eyes. In this embodiment, the fatigue monitoring unit can be placed on a desktop or where books and electronic devices are placed to ensure more accurate monitoring of changes in the target object's eyes. The fatigue monitoring unit detects the target object's eye color. It can be understood that the fatigue state of the target object can be judged based on changes in the target object's eye color. In this embodiment, eye color refers to red. That is, when the eyes are photographed, the fundus of the eye will appear red because there are a large number of capillaries behind the retina containing red blood. When the camera device photographs the eye area, it will capture the capillaries behind the retina of the fundus, which will appear red on the pupil. The pupil is a circular hole located in the center of the iris of the human eye. The diameter of the pupil is generally 3-5 mm in East Asians. The pupil acts like an aperture stop in the eye's optical system, adjusting the amount of light entering the eye by dilating and constricting. Pupil size is jointly controlled by the pupillary sphincter muscle, innervated by the oculomotor nerve, and the pupillary dilator muscle, innervated by the sympathetic nervous system. These muscles are closely connected centrally and antagonistic to each other. Fatigue activates the parasympathetic nervous system and inhibits the sympathetic nervous system, causing the sphincter muscle to contract and thus constricting the pupil. Therefore, changes in pupil size reflect the fatigue state of a subject; when a subject is fatigued, their pupils constrict, while when they are energetic, their pupils remain at a normal size. Thus, changes in pupil size can be used to monitor changes in a subject's condition and promptly assess their fatigue level.Furthermore, changes in the pupil size of the target subject will cause changes in the retinal area captured by the camera when taking photos of the eye, which in turn will change the area of red-eye. Therefore, changes in the red-eye area can indicate changes in the target subject's fatigue state. When the target subject is energetic, the pupil is normally open, the retinal area captured by the camera is normal, and the red-eye area is within the normal range, thus indicating that the target subject is energetic. When the target subject gradually becomes fatigued, fatigue factors will activate the parasympathetic nervous system and inhibit the sympathetic nervous system, causing the sphincter muscles to contract, thereby constricting the pupil. The retinal area captured by the camera gradually decreases, that is, the red-eye area gradually decreases, and the red-eye area deviates from the normal range, indicating that the target subject is gradually entering a state of fatigue. Therefore, changes in the target subject's fatigue state can be translated into changes in the red-eye area of the target subject's eyes through the photographic device, and changes in the red-eye area can be used to determine changes in fatigue state. The posture monitoring unit monitors and calculates the distance change between the target object's eyes and a reference point, and provides posture correction prompts based on these distance changes. Specifically, when the target object is reading or studying, their fatigue level and body posture change over time, causing the distance between their eyes and the reading content to change. This change in distance reflects changes in fatigue level. Therefore, the posture monitoring unit and the fatigue monitoring unit work together to detect the target object's fatigue level, promptly identifying and addressing fatigue. The posture monitoring unit is fixed near the target object's eyes, ensuring accurate monitoring. Since the distance between the posture monitoring unit and the reading / study content is constant, the change in distance between the target object's eyes and the content can be equivalently represented by the change in distance between the target object's eyes and the posture monitoring unit. In other words, by monitoring the change in distance between the target object's eyes and the posture monitoring unit, the target object's posture changes are determined, further assessing changes in fatigue level and prompting timely correction. In this embodiment, the reference point is the imaging aperture of the posture monitoring unit's imaging device. The change in distance between the target object's eyes and the imaging aperture is used to determine the target object's eye fatigue level.The control unit wakes up the fatigue monitoring unit and the posture monitoring unit based on the status data. In this embodiment, the status data is the data of the sensing unit monitoring whether there is a target object in the target area. When there is a target object in the target area, the status data includes the data of the target object and sends this data to the control unit. After the control unit obtains that there is a target object in the target area, it wakes up the fatigue monitoring unit and the posture monitoring unit. When there is no target object in the target area, the status data does not include the data of the target object. The sensing unit sends this data to the control unit. After the control unit obtains that there is no target object in the target area, it controls the fatigue monitoring unit and the posture monitoring unit to enter the standby sleep state and waits for the target object to enter the target space before waking up.
[0024] Understandably, the sensing unit includes a radar transmitting module, a radar receiving module, and a data processing module. The radar transmitting module transmits UWB radar waves into the target space. The radar receiving module receives the UWB radar echoes and generates a point cloud map. The data processing module calculates and identifies target objects in the point cloud map, generating status data. The radar transmitting module is positioned near the target object and transmits UWB radar signals into the target space to detect the presence of a target object. The radar receiving module receives the reflected UWB radar echoes and generates a point cloud map. The point cloud map contains state information indicating the presence of a target object within the target space. The data processing module calculates and identifies the target object in the point cloud map, generating state data. A target object exists in two states: within the target space and not within the target space. When a target object is present in the target space, the radar echo contains target object information, indicating that the target object is detected. Specifically, the data processing module uses machine learning and pre-sets target object identification feature data. When processing the point cloud map of the UWB radar echo, the data processing module compares the detected object information in the point cloud map with the pre-set identification feature data. When the data matches, the target object is present in the space, and the generated state data contains information about the target object's presence and location within the target space. In this technical solution, the radar system is a UWB (u Ultra-wideband (UWB) radar operates in frequencies between 3.1 GHz and 10.6 GHz. Due to its strong anti-jamming capabilities and the combination of low-frequency and wide-band characteristics, UWB radar possesses strong penetration capabilities, enabling it to detect objects obscured by other objects. Because of its large relative bandwidth, UWB radar can distinguish many scattering points of a target. Accumulating the echo signals from these scattering points improves the signal-to-noise ratio, achieving centimeter-level resolution. Therefore, UWB radar offers greater flexibility and adaptability in placement, and when deployed indoors, it is less affected by cluttered or disorganized environments. The radar system, influenced by ambient information, can effectively detect target objects within the target space, i.e., it can detect living beings in corners or narrow spaces. The radar system includes a UWB radar transmitter, a miniaturized planar ultra-wideband antenna, a UWB radar receiver, and signal processing circuitry. Essentially, the UWB radar transmitter generates radar waves, amplifies their intensity, and transmits them through the antenna; the miniaturized planar ultra-wideband antenna transmits radar waves and receives radar echoes; and the UWB radar receiver receives the corresponding reflected radar echo signals from the antenna and transmits the signals to the data processing stage for data processing.In this embodiment, the radar system transmits radar signals. When the radar signals encounter an obstruction, the radar waves are blocked and reflected. The reflected radar echo is received by a miniaturized planar ultra-wideband antenna. The UWB radar receiver receives the radar echo through the miniaturized planar ultra-wideband antenna. The signal processing circuit processes the radar echo data. Specifically, the original radar echo data is orthogonally demodulated to obtain a complex signal. The complex signal is sampled to obtain a preprocessed signal. The range Doppler algorithm is used to compress the range of the sampled signal data. Further, the range-compressed signal data is subjected to a fast Fourier transform and range motion correction in the azimuth direction. The corrected data is then subjected to azimuth compression and an inverse fast Fourier transform in the azimuth direction to generate a point cloud map. It can be understood that the point cloud map is a three-dimensional point coordinate dataset containing three-dimensional spatial and temporal information. The point cloud map dataset is used to train a neural network model, enabling the neural network to learn the object recognition features. The feature dataset of the object is obtained by training the neural network model. Based on the feature dataset obtained from training, the point cloud data is calculated in the neural network model to identify objects contained in the point cloud map. The information of detected live objects is marked according to the feature dataset. This technical solution can effectively identify live object information in space.
[0025] Understandably, the target object is the human body. When the status data includes human information, the control unit activates the fatigue monitoring unit and posture monitoring unit to monitor the target object. Specifically, this technical solution can be applied to children's learning monitoring. Online courses are gradually becoming a common way for children to learn, and children need to spend a lot of time sitting at a desk for online learning. Therefore, the target object can be children aged 7-12.
[0026] The fatigue monitoring unit includes a red-eye monitoring module, which monitors the eye color status of the target object and calculates the eye fatigue value based on the red area within the target object's eye color status. For example... Figure 1As shown, the red-eye detection module is a viewfinder camera. The viewfinder camera takes a picture of the target object's eyes, acquiring the red area of the retina. The eye fatigue value is calculated based on this red area. Specifically, the fatigue monitoring unit is placed near the child to monitor their eyes. In this embodiment, the fatigue monitoring unit can be placed on a desktop or near books and electronic devices to ensure more accurate monitoring of changes in the child's eyes. The viewfinder camera detects the color of the child's eyes. It can be understood that changes in the color of the child's eyes can indicate their fatigue state. When the eyes are photographed, the fundus appears red because there are numerous capillaries behind the retina containing red blood. When the viewfinder camera photographs the eyes, it captures these capillaries behind the retina, which appear red on the pupil. The pupil is a circular opening located in the center of the iris of the human eye; in East Asian populations, its diameter is generally 3-5 mm. The pupil acts like an aperture stop in the eye's optical system, regulating the amount of light entering the eye by dilating and constricting. Pupil size is jointly controlled by the pupillary sphincter muscle, innervated by the oculomotor nerve, and the pupillary dilator muscle, innervated by the sympathetic nervous system. These muscles are closely connected centrally and antagonistic to each other. Fatigue activates the parasympathetic nervous system and inhibits the sympathetic nervous system, causing the sphincter muscle to contract and thus constricting the pupil. Therefore, changes in pupil size reflect the fatigue state of a child's eyes; when a child is tired, their pupils constrict, and when they are energetic, their pupils remain in a normal state. Thus, changes in pupil size can be used to monitor changes in a child's condition and promptly assess their fatigue level. Furthermore, changes in a child's pupil size can alter the area of the retina captured by a camera when taking a photograph of the eye, consequently changing the area of red-eye. Figure 2 As shown, changes in red-eye area can reveal changes in a child's fatigue level. When a child is energetic, their pupils are normally open, the retinal area captured by the viewfinder is normal, and the red-eye area is within the normal range, indicating high energy levels. However, as a child becomes fatigued, fatigue activates the parasympathetic nervous system and inhibits the sympathetic nervous system, causing the sphincter muscles to contract and the pupils to constrict. Consequently, the retinal area captured by the viewfinder gradually decreases, resulting in a smaller red-eye area that deviates from the normal range, indicating that the child is gradually becoming fatigued. Therefore, changes in a child's fatigue level can be translated into changes in the red-eye area detected by the viewfinder, allowing for the assessment of fatigue levels based on these changes. When a child first begins learning, their eyes are full of energy and their pupils are open normally. At this time, the camera takes a picture of the child's eyes and extracts the pupil area by extracting the red pixels. The camera continuously takes pictures periodically to monitor changes in the child's pupil area. When the area gradually decreases, it indicates that the child's eyes have entered a state of fatigue. Specifically, in this embodiment, the pupil area is set to two-thirds of its normal size when it is determined to be in a state of fatigue.
[0027] Understandably, the fatigue monitoring unit also includes a lighting module. When the eye fatigue value reaches a preset fatigue threshold, the lighting module adjusts the ambient light effect to improve the eye's color state. Specifically, after continuous reading and learning, a child's eyes enter a fatigue state. In this embodiment, this is defined as the child's eyes entering a fatigue state when the red-eye area of the pupil shrinks to two-thirds of its normal size. Here, the normal state can be set as the red-eye data of the pupil when the child first enters the target space, or it can be set as the maximum value of the pupil data in the statistical data over a period of time. Of course, the pupil data can be further processed to remove extreme values and take the maximum value. The definition of fatigue state based on pupil area is not limited here; an adaptive judgment ladder can be generated based on machine learning for different children. Figure 1 As shown, the fatigue monitoring unit includes a viewfinder camera and a lighting module. When the viewfinder camera detects that the red area of a child's pupil has decreased to two-thirds of the contrast value, it determines that the child's eyes are fatigued. At this time, the lighting module adjusts the ambient lighting effect, which includes the brightness and color temperature of the ambient lights. The lighting module adjusts the ambient lights to emit light with a color temperature below 2200K to improve the red-eye condition. When red light shines on the eyes, it can stimulate the activity of retinal cells, increase photosensitivity, and improve visual clarity and acuity. At the same time, red light acts on the choroid, ensuring sufficient blood supply to the choroid and increasing the oxygen-carrying capacity of the blood, thereby increasing the choroidal... The thickness of the sclera enhances its elasticity, allowing the sclera and retina to receive more nutrients, improving the nutritional environment of the fundus microcirculation. This, in turn, stimulates the retina to secrete more dopamine, relaxing eye muscles and reducing eye fatigue. Therefore, when red light shines on tired eyes, it improves the state of eye fatigue. Thus, when the viewfinder camera detects that a child's eyes are fatigued, the lighting module adjusts the ambient light effect, causing the ambient light to emit light with a color temperature below 2200K. Light with a color temperature below 2200K is predominantly red. When the color temperature is higher than 2200K, the light color will be more intensely red. Multiple color temperature settings can be adjusted according to the child's level of fatigue. By adjusting the ambient light effect through the lighting module, the ambient light emits light with a color temperature below 2200K to illuminate the child's eyes, stimulating the activity of retinal cells, relaxing eye muscles, and reducing eye fatigue.
[0028] Understandably, the posture monitoring unit includes an imaging module that captures a photograph of the target object's eye, obtains the iris pixel size on the imaging sensor of the imaging module, and calculates the healthy distance between the target object's eye and the imaging module based on the iris pixel size and the focal length of the imaging module.
[0029] like Figure 3As shown, since the iris size is almost a fixed value, the imaging module can collect external light using the pinhole imaging principle, and then project it onto the imaging sensor. The focal length at the time of imaging is retrieved via the built-in API or EXI F metadata, thus obtaining the distance from the sensor to the camera aperture. Figure 3 The focal length f is used to simultaneously obtain the iris pixel size on the imaging sensor. Since the iris diameter is a fixed value, the distance from the iris to the camera, i.e., the distance from the child to the shooting module, can be calculated proportionally based on the iris size, iris pixel size, and focal length f. When a child studies or reads at a desk for an extended period, fatigue can lead to poor posture, such as tilting the head, hunching the back, slouching, or resting the head on the arm while reading or writing. At this time, the distance between the child's eyes and the shooting module will change significantly. Therefore, the child's fatigue state can be determined based on the change in the distance between the child's eyes and the shooting module. In this embodiment, the viewfinder camera of the fatigue monitoring unit and the shooting module of the posture monitoring unit can share a single camera, and the captured data can be processed separately. The average distance between the child's eyes and the shooting module within a certain period after the child enters the target area and stabilizes can be set as reference data. When the distance between the child's eyes and the shooting module decreases by one-fifth, it is determined that the child's posture is incorrect. If this posture is maintained for more than 5 minutes, it is determined that the child has entered a fatigue state. Understandably, the posture monitoring unit also includes a prompting module. This module issues posture correction prompts based on changes in the healthy distance, using at least one method such as sound, flashing lights, vibration, or airflow. When the system detects that a child is fatigued, the prompting module alerts the child to restore the correct sitting posture or stand up to rest. This technical solution can promptly detect eye fatigue in children, alleviate fatigue by adjusting ambient light, and promptly remind children to rest.
[0030] The above provides a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the above embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of the present invention.
Claims
1. An intelligent eye protection system, characterized in that, include: The sensing unit is used to transmit radar signals into the target space to identify the state of the target object and acquire state data; The fatigue monitoring unit is used to monitor changes in the eye color of the target object and adjust the ambient lighting effect according to the color changes. The posture monitoring unit is used to monitor and calculate the distance change between the target object's eye and the reference point, and provide posture correction prompts based on the distance change; A control unit that wakes up the fatigue monitoring unit and the posture monitoring unit based on the status data.
2. The system according to claim 1, characterized in that, The sensing unit includes a radar transmitting module, a radar receiving module, and a data processing module. The radar transmitting module transmits UWB radar waves into the target space.
3. The system according to claim 1 or 2, characterized in that, The radar receiving module receives UWB radar echoes to generate point cloud maps, and the data processing module calculates and identifies target objects in the point cloud maps to generate status data.
4. The system according to claim 1, characterized in that, The target object is the human body. When the status data contains human body information, the control unit wakes up the fatigue monitoring unit and the posture monitoring unit to monitor the target object.
5. The system according to claim 4, characterized in that, The fatigue monitoring unit includes a red-eye monitoring module, which monitors the eye color state of the target object and calculates the eye fatigue value based on the red range in the eye color state of the target object.
6. The system according to claim 5, characterized in that, The red-eye monitoring module is a viewfinder camera. The viewfinder camera takes a picture of the target object's eye, obtains the red area of the retinal region, and calculates the eye fatigue value based on the red area of the retinal region.
7. The system according to claim 5, characterized in that, The fatigue monitoring unit also includes a lighting module. When the eye fatigue value reaches a preset fatigue threshold, the lighting module adjusts the ambient light effect to improve the eye color state.
8. The system according to claim 7, characterized in that, The ambient lighting effect includes the brightness and color temperature of the ambient light. The lighting module adjusts the ambient light to emit light with a color temperature below 2200K to improve the red-eye condition of the eyes.
9. The system according to claim 8, characterized in that, The posture monitoring unit includes a shooting module, which takes a picture of the target object's eye, obtains the iris pixel size on the imaging sensor of the shooting module, and calculates the healthy distance between the target object's eye and the shooting module based on the iris pixel size and the focal length of the shooting module.
10. The system according to claim 9, characterized in that, The posture monitoring unit also includes a prompting module, which issues posture correction prompts based on changes in the health distance. The prompts include at least one method such as sound, flashing light, vibration, or air jet.