Automatic change crib length adjustment system

文档序号：1472951 发布日期：2020-02-25 浏览：34次中文

阅读说明：本技术 自动化婴儿床长度调节系统 (Automatic change crib length adjustment system ) 是由不公告发明人于 2019-06-24 设计创作，主要内容包括：本发明涉及一种自动化长度调节系统,包括：长度鉴别设备,设置在婴儿床的下方,用于基于预设婴儿轮廓从现场滤波图像中识别出婴儿目标所在的婴儿图像区域,并基于所述婴儿目标在所述现场滤波图像中的景深以及所述婴儿图像区域的最大纵向长度计算出所述婴儿目标实际的最大长度；自动加长机构,用于在所述婴儿目标实际的最大长度大于婴儿床当前长度时,对所述婴儿次执行自动加长处理。本发明的自动化长度调节系统设计精密、运行可靠。由于在针对性图像处理的基础上,根据测量到的婴儿目标实际的最大长度确定是否执行婴儿床的自动加长处理,从而提升了婴儿躺卧的舒适程度和安全程度。(The invention relates to an automatic length adjustment system, comprising: the length identification device is arranged below the crib and used for identifying an infant image area where an infant target is located from a field filtering image based on a preset infant outline and calculating the actual maximum length of the infant target based on the depth of field of the infant target in the field filtering image and the maximum longitudinal length of the infant image area; and the automatic lengthening mechanism is used for performing automatic lengthening processing on the infant for a time when the actual maximum length of the infant target is greater than the current length of the infant bed. The automatic length adjusting system is precise in design and reliable in operation. On the basis of the targeted image processing, whether the automatic lengthening processing of the baby crib is executed or not is determined according to the measured actual maximum length of the baby target, so that the comfort degree and the safety degree of the lying baby are improved.)

1. An automated length adjustment system, comprising:

the length identification device is arranged below the crib and used for receiving the on-site filtering image, identifying an infant image area where an infant target is located from the on-site filtering image based on a preset infant outline, and calculating the actual maximum length of the infant target based on the depth of field of the infant target in the on-site filtering image and the maximum longitudinal length of the infant image area;

the automatic lengthening mechanism is connected with the length identification device and is used for performing automatic lengthening processing on the infant time by time when the actual maximum length of the infant target is larger than the current length of the infant bed;

the automatic lengthening mechanism comprises a brushless direct current motor, a telescopic rod and a weight sensor, the brushless direct current motor is connected with the telescopic rod, and the weight sensor is arranged below the telescopic rod;

the high-definition camera is arranged above the crib and used for performing camera shooting operation on the scene where the crib is located so as to obtain and output a corresponding on-site high-definition image;

the distortion correction equipment is arranged below the crib, connected with the high-definition camera and used for receiving the on-site high-definition images and performing distortion correction processing on the on-site high-definition images to obtain and output corresponding distortion processed images;

a first interpolation device connected to the distortion correction device, for receiving the distortion processed image, performing a non-linear interpolation process on the distortion processed image to obtain and output a corresponding first interpolation image;

the signal extraction equipment is connected with the first interpolation equipment and used for extracting a sub-image to be processed with the same size as the preset reference bed sub-image from the first interpolation image based on the preset reference bed sub-image, subtracting the sub-image to be processed from the preset reference bed sub-image to obtain a difference image, calculating the number of pixels with non-zero pixel values in the difference image, and sending a bed body non-identification signal when the number of the non-zero pixels is greater than or equal to a first preset pixel number threshold value, or sending a bed body identification signal;

the second interpolation device is respectively connected with the first interpolation device and the signal extraction device and is used for outputting the first interpolation image as a second interpolation image when receiving the bed body identification signal;

the second interpolation device is further used for executing multivariate regression interpolation processing on the first interpolation image when a bed body unidentified signal is received so as to obtain and output a corresponding second interpolation image;

and the wiener filtering device is connected with the second interpolation device and is used for receiving the second interpolation image and executing wiener filtering processing on the second interpolation image so as to obtain and output a corresponding field filtering image.

2. The automated length adjustment system of claim 1, wherein:

the first interpolation device, the second interpolation device, and the signal extraction device share the same power supply device therebetween.

3. The automated length adjustment system of claim 2, wherein:

the second interpolation device is further used for entering a working state from a power saving state when receiving the bed body identification signal, and entering the power saving state from the working state when receiving the bed body unidentified signal.

4. The automated length adjustment system of claim 3, further comprising:

and the contrast enhancement equipment is connected with the wiener filtering equipment and used for receiving the field filtering image, executing contrast enhancement processing on the field filtering image to obtain a contrast enhancement image and outputting the contrast enhancement image.

5. The automated length adjustment system of claim 4, further comprising:

and the first noise processing device is connected with the contrast enhancement device and used for receiving the contrast enhancement image and carrying out noise type analysis on the contrast enhancement image so as to obtain various noise types in the contrast enhancement image and the maximum amplitude corresponding to each noise type.

6. The automated length adjustment system of claim 5, further comprising:

and the second noise processing equipment is connected with the first noise processing equipment and is used for receiving various noise types in the contrast enhanced image and the maximum amplitude corresponding to each noise type, sequencing the various noise types based on the sequence from large to small of the maximum amplitude, and outputting three noise types with the first three sequence numbers as three to-be-processed noise types.

7. The automated length adjustment system of claim 6, further comprising:

and the weight analysis device is connected with the second noise processing device and is used for receiving the three types of noise to be processed, determining three influence weights respectively corresponding to the three types of noise to be processed based on the type weight comparison table, sequentially correcting the initialized binary threshold value by adopting the three influence weights to obtain a corrected threshold value after the correction processing is finished, and outputting the corrected threshold value.

8. The automated length adjustment system of claim 7, further comprising:

and the image simplifying device is respectively connected with the length identifying device and the weight analyzing device and is used for receiving the modified threshold value, performing binarization processing on the contrast enhanced image by adopting the modified threshold value to obtain an image to be analyzed, and replacing the field filtering image with the image to be analyzed and sending the image to be analyzed to the length identifying device.

9. The automated length adjustment system of claim 8, wherein:

the weight analysis device also prestores the type weight comparison table, and the type weight comparison table stores the influence weight of each noise type on the binarization threshold value and is also used for prestoring the initialization binarization threshold value.

Technical Field

The invention relates to the field of intelligent furniture, in particular to an automatic crib length adjusting system.

Background

The intelligent furniture is based on modern fashion furniture, and skillfully integrates combined intelligence, electronic intelligence, mechanical intelligence and Internet of things intelligence into furniture products, so that the furniture is intelligentized, internationalized and fashionable, the home life is more convenient and comfortable, the intelligent furniture is an important component of a new and precious life style, and the intelligent furniture is a development trend and trend of future international furniture. The intelligent combination of the intelligent furniture products breaks through the combination mode of the traditional furniture, the subjective creativity (DIY) of users is fully exerted, the appearance size and the combination mode are not calculated by furniture manufacturers any more, but the users freely combine and freely match according to personal preferences and the actual situation of family space. People split and process the furniture functions in a unitization mode, each unit is a product, and the products can be combined through arrangement and superposition of the products.

Disclosure of Invention

The invention needs to have the following two important points:

(1) carrying out heuristic analysis on the image subjected to the nonlinear interpolation processing to determine whether the target detection requirement is met, and adding a multiple regression interpolation processing link to ensure the image interpolation effect under the condition that the target detection requirement is not met;

(2) on the basis of the targeted image processing, whether the automatic lengthening processing of the baby crib is executed or not is determined according to the measured actual maximum length of the baby target, so that the comfort level and the safety level of the lying baby are improved.

According to an aspect of the present invention, there is provided an automated length adjustment system, the system comprising:

and the second interpolation equipment is also used for executing multivariate regression interpolation processing on the first interpolation image when a bed body unidentified signal is received so as to obtain and output a corresponding second interpolation image.

The automatic length adjusting system is precise in design and reliable in operation. On the basis of the targeted image processing, whether the automatic lengthening processing of the baby crib is executed or not is determined according to the measured actual maximum length of the baby target, so that the comfort degree and the safety degree of the lying baby are improved.

Drawings

Embodiments of the invention will now be described with reference to the accompanying drawings, in which:

fig. 1 is a configuration view of a baby bed to which an automatic length adjustment system according to an embodiment of the present invention is applied.

Detailed Description

An embodiment of the automated length adjustment system of the present invention will be described in detail below with reference to the accompanying drawings.

With the introduction of new mathematic results of modern application and the application of electronic computers, the automatic control theory spans into a new stage, namely the modern control theory, in order to adapt to the development of aerospace technology. The method mainly researches the optimal control problem of multivariable variable parameters with high performance and high precision, and is a state space method based on states. At present, the automatic control theory is still developing, and the intelligent control theory based on the control theory, the information theory and the bionics is further developed. In order to realize various complex control tasks, firstly, controlled objects and control devices are connected in a certain mode to form an organic whole, namely an automatic control system. In an automatic control system, the output quantity of a controlled object, i.e. the controlled quantity, is a physical quantity which needs to be strictly controlled, and can be required to be kept at a certain constant value, such as temperature, pressure or flight path; the control device is a general mechanism for exerting a control action on a controlled object, and can control the controlled object by adopting different principles and modes, but the most basic one is a feedback control system based on a feedback control principle.

Currently, infant care is a focus of attention, mainly because the physical and mental health of infants is receiving more and more attention, and the work load of modern society needs to be relieved from the tedious infant care, so a series of automatic devices related to infant care are developed, but the current infant bed is still of a customized type and needs to be manually operated.

In order to overcome the defects, the invention builds an automatic length adjusting system, and can effectively solve the corresponding technical problem.

Fig. 1 is a configuration view of a baby bed to which an automatic length adjustment system according to an embodiment of the present invention is applied.

An automated length adjustment system is shown according to an embodiment of the invention comprising:

Next, the detailed structure of the automatic length adjustment system of the present invention will be further described.

In the automated length adjustment system:

the first interpolation device, the second interpolation device, and the signal extraction device share the same power supply device therebetween.

In the automated length adjustment system:

The automatic length adjusting system can further comprise:

In the automated length adjustment system:

In addition, image filtering, namely, suppressing the noise of the target image under the condition of keeping the detail features of the image as much as possible, is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly affected by the quality of the processing effect.

Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.

One of the commonly used modes of image filtering is a non-linear filter, generally speaking, when the signal spectrum is mixed with the noise spectrum or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or non-gaussian noise, etc., the conventional linear filtering techniques, such as fourier transform, always blur the image details in some way while filtering the noise, thereby causing the positioning accuracy of the image linear features and the extractability of the features to be reduced. The nonlinear filter is based on a nonlinear mapping relation of an input signal, a specific noise can be mapped to be zero approximately, the main characteristic of the signal is reserved, and therefore the nonlinear filter can overcome the defects of the linear filter to a certain extent.

It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.

It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.

The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.

9页详细技术资料下载

上一篇：一种医用注射器针头装配设备

下一篇：一种拨扣开锁装置

Automatic change crib length adjustment system

相关技术

网友询问留言