Electronic auto-adjustment bidet toilet with artificial intelligence and spectroscopy software

Abstract

A free-standing electronic toilet bidet system, a bidet system, and an electronic toilet bidet system for insertion into a wheelchair, all of which use artificial intelligence and spectroscopy software in combination with a feces detection algorithm. These systems use one or more internal cameras or other sensors to capture one or more images thereof when a user sits on a toilet before use. These systems automatically detect feces on a user by detecting an absorption spectrum of a biomarker bilirubin of the feces. These systems calculate the ratio of green or red to blue light over the RGB spectrum. In the presence of bilirubin, more blue light is absorbed by excrement, and green light and red light are not absorbed. Once it is detected that there is feces on the user, these systems will activate one or more water sprayers to clean the feces on the user.

Description

TECHNICAL FIELD

[0001] The field of the present invention relates to an electronic toilet and bidet system that uses internal cameras, artificial intelligence, computer vision, and spectroscopy software to automatically detect and clean fecal matter on a user's skin. BACKGROUND

[0002] Toilets, in general, can be one of the most dangerous fixtures for people with illnesses, injuries, severe obesity, disabilities, or advanced age. Loss of mobility, strength, and flexibility in the joints makes sitting and standing on a toilet a challenge. Toilets have many slippery surfaces, sharp edges, and involve a lot of motion to use correctly.

[0003] Using a standard toilet requires shifting body weight and changing from a seated to a standing position, which can cause them to lose balance quickly. Additionally, many medications and diseases, such as dementia and Alzheimer's disease, affect balance, making it more difficult for users to control their balance on a toilet. Often, there is no convenient access to a bathroom on the main floor of a home or close to a bedroom for nighttime use.

[0004] Furthermore, it can be difficult for people with illnesses, injuries, severe obesity, disabilities, or advanced age to clean themselves after using a toilet.

[0005] A commode is a modified toilet for people who need help due to illness, injury, severe obesity, disability, or advanced age. Commodes sometimes come with wheels to facilitate transport to a bathroom, shower, or other part of the house. Most commodes have a detachable basin and a flip-up armrest. Commodes are a great safety option for the elderly as they can serve as a portable toilet and provide the convenience of bringing a toilet to them anywhere in the home, nursing home, or medical facility.

[0006] Bidets use fluid and air nozzles to wash and dry the genital, buttocks area, and anus without the use of any paper towels, but rather through the spraying of water. Due to their ease of use, functionality, and cleanliness, bidets are being installed in more and more places with multiple users or disabled users. Bidets are becoming more common in hospitals due to their utility in maintaining hygiene and ease of use for disabled or elderly patients. Bidets generally enable disabled and elderly users to toilet themselves, providing them with greater opportunities for independence.

[0007] The combination of a commode with a bidet provides the most usability and the most cleaning options.

[0008] Therefore, there is a need for a commode that integrates a bidet for proper cleaning. SUMMARY

[0009] Other features of the present application will be described below, which will form the subject matter of the claims appended to this document. In this regard, before explaining at least one embodiment of the application in detail, it is to be understood that the application is not limited in its application to the details of construction and the arrangement of the components set forth in the following description or illustrated in the drawings. The application is capable of other embodiments and of being practiced and carried out in various ways. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should in no way be regarded as limiting.

[0010] An electronic toilet system with artificial intelligence, computer vision, and spectroscopy software is disclosed, comprising: a refillable water reservoir; a bowl with an opening; a seat; a seat cover; at least one fluid nozzle for spraying fluid; a device for moving the fluid nozzle in three dimensions within the bowl on the toilet; at least one air dryer comprising an air dryer nozzle and a device for moving the air dryer nozzle in three dimensions within the bowl on the toilet; a computing device comprising executable software and a storage device; a camera contained within the bowl, wherein the camera is operatively connected to the computing device; a light source located within the toilet proximate to the camera; at least one activation device for activating the toilet, wherein the activated toilet illuminates the user's genitalia, anus, and perianal area with the light source in white light through the bowl opening; wherein the camera captures a first plurality of images or a first video of the illuminated user's genitalia, anus, and perianal area through the bowl opening of the toilet, wherein the first plurality of images or first video is transmitted to the computing device and analyzed with the software to identify fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light; wherein the computing device sends a signal to the device for moving the fluid nozzle in three dimensions to automatically adjust the nozzle to spray fluid to clean any detected fecal matter from the user's genitalia and rectal area; wherein the camera captures a second plurality of images or a second video of the illuminated user's genitalia, anus, and perianal area through the bowl opening of the toilet, wherein the second plurality of images or second video is transmitted to the computing device and analyzed with the software to identify any residual fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light; wherein the computing device sends a signal to the device for moving the fluid nozzle in three dimensions to automatically adjust the nozzle to spray fluid to clean any detected residual fecal matter from the user's genitalia and rectal area; wherein the camera continues to capture additional plurality of images or video of the user's genitalia, anus, and perianal area for analysis with the software to identify any residual fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light until no fecal matter is identified; and, wherein the computing device sends a signal to the device for moving the air nozzle in three dimensions to automatically adjust the air nozzle to spray dry air to the user's genitalia and rectal area for drying.

[0011] An electronic bidet system with artificial intelligence, computer vision, and spectroscopy software, comprising: a water reservoir; a basin with an opening; a seat ring; a seat ring cover; at least one fluid nozzle for spraying fluid; a device on the bidet for three-dimensional movement of the fluid nozzle within the basin; at least one air dryer, comprising an air dryer nozzle and a device on the bidet for three-dimensional movement of the air dryer nozzle within the basin; a computing device, comprising executable software and a memory storage device; a camera contained within the basin, wherein the camera is operatively connected to the computing device; a light source located within the bidet proximate to the camera; at least one activation device for activating the bidet, wherein the activated bidet illuminates the user's genitalia, anus, and perianal area with the light source in white light through the basin opening; wherein the camera captures a first plurality of images or a first video of the illuminated user's genitalia, anus, and perianal area through the basin opening of the bidet, wherein the first plurality of images or first video is transmitted to the computing device and analyzed with the software to identify fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light; wherein the computing device sends a signal to the device for three-dimensional movement of the fluid nozzle to automatically adjust the nozzle to spray fluid to clean any detected fecal matter from the user's genitalia and rectal area; wherein the camera captures a second plurality of images or a second video of the illuminated user's genitalia, anus, and perianal area through the basin opening of the bidet, wherein the second plurality of images or second video is transmitted to the computing device and analyzed with the software to identify any residual fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light; wherein the computing device sends a signal to the device for three-dimensional movement of the fluid nozzle to automatically adjust the nozzle to spray fluid to clean any detected residual fecal matter from the user's genitalia and rectal area; wherein the camera continues to capture additional plurality of images or video of the user's genitalia, anus, and perianal area, analyzed with the software to identify any residual fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light until no fecal matter is identified; and, wherein the computing device sends a signal to the device for three-dimensional movement of the air nozzle to automatically adjust the air nozzle to spray dry air for drying the user's genitalia and rectal area.

[0012] An electronic wheelchair commode system with artificial intelligence, computer vision, and spectroscopy software, comprising: a refillable water reservoir; a basin with an opening; a seat; a seat cover; at least one fluid nozzle for spraying fluid; a means for moving the fluid nozzle in three dimensions within the basin on the wheelchair commode; at least one air dryer, comprising an air dryer nozzle and a means for moving the air dryer nozzle in three dimensions within the basin on the wheelchair commode; a computing device, comprising executable software and a storage device; a camera contained within the basin, wherein the camera is operatively connected to the computing device; a light source located within the wheelchair commode proximal to the camera; at least one activation device for activating the wheelchair commode, wherein the activated wheelchair commode illuminates the user's genitalia, anus, and perianal area with the light source in white light through the basin opening; wherein the camera captures a first plurality of images or a first video of the illuminated user's genitalia, anus, and perianal area through the basin opening of the wheelchair commode, wherein the first plurality of images or first video is transmitted to the computing device and analyzed with the software to identify fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light; wherein the computing device sends a signal to the means for moving the fluid nozzle in three dimensions to automatically adjust the nozzle to spray fluid to clean any detected fecal matter from the user's genitalia and rectal area; wherein the camera captures a second plurality of images or a second video of the illuminated user's genitalia, anus, and perianal area through the basin opening of the wheelchair commode, wherein the second plurality of images or second video is transmitted to the computing device and analyzed with the software to identify any remaining fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light; wherein the computing device sends a signal to the means for moving the fluid nozzle in three dimensions to automatically adjust the nozzle to spray fluid to clean any detected remaining fecal matter from the user's genitalia and rectal area; wherein the camera continues to capture additional plurality of images or video of the user's genitalia, anus, and perianal area, analyzed with the software to identify any remaining fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light until no fecal matter is identified; and, wherein the computing device sends a signal to the means for moving the air nozzle in three dimensions to automatically adjust the air nozzle to spray dry air to the user's genitalia and rectal area for drying.

[0013] In embodiments of the invention, fecal matter is detected by a function of the ratio of green channel light absorption divided by blue channel light absorption, wherein the amount of fecal matter increases as the ratio of green channel light absorption divided by blue channel light absorption increases.

[0014] In embodiments of the invention, fecal matter is detected by the ratio of green channel light absorption divided by blue channel light absorption minus 1, wherein the value is zero in the absence of fecal matter, and the amount of fecal matter increases as the ratio of green channel light absorption divided by blue channel light absorption increases.

[0015] In embodiments of the invention, the activation means comprises a proximity sensor that detects a user sitting on the toilet bowl or bidet and automatically activates the toilet bowl or bidet.

[0016] In embodiments of the invention, the activation means comprises a proximity sensor that detects a user sitting on the toilet bowl or bidet and automatically activates the toilet bowl or bidet, wherein the proximity sensor is comprised of a group selected from infrared sensors, weight sensors, and motion detection cameras.

[0017] In embodiments of the invention, the fluid ejected by the fluid nozzle is comprised of a group selected from clean water rinse, low-allergenic liquid soap, and liquid medication.

[0018] In embodiments of the invention, the software will identify and locate the user's anus, testicles, penis, vagina, pube patch, burn marks, hemorrhoids, birthmarks, moles, acne, tumors, and soiled locations.

[0019] In embodiments of the invention, the term "software" refers to and includes executable code algorithms processed by computer systems, as well as specialized hardware running hardware description language (HDL) algorithms in field-programmable gate arrays (FPGA), complex programmable logic devices (CPLD), or application-specific integrated circuits (ASIC).

[0020] In embodiments of the invention, the term "image" refers to a set of one or more digital images, which can take a variety of forms, including but not limited to digital camera images, digital video sequences, or medical scanner images.

[0021] In embodiments of the invention, the term "computer vision" refers to techniques and methods for acquiring, processing, analyzing, and understanding digital images and videos. These computer vision techniques and methods include but are not limited to visual object recognition, object classification, object identification, object detection, image processing, pattern matching, and pattern recognition.

[0022] In embodiments of the invention, the toilet bowl or bidet can further contain a second fluid nozzle for cleaning the fluid ejected from the fluid nozzle onto the user or cleaning the bowl of the toilet bowl or bidet.

[0023] In additional embodiments of the invention, the activation means for the toilet bowl or bidet can be a button, a microphone in conjunction with voice recognition software, a smartphone, a tablet, a remote control, a touchpad, or a multi-touch screen.

[0024] In embodiments of the invention, pressing the button will initiate a cleaning cycle, including a washing phase and a drying phase.

[0025] In another embodiment of the application, the button will initiate a cleaning cycle, including a washing phase for a first predetermined number of seconds.

[0026] In a further embodiment of the application, the button will initiate a cleaning cycle, including a washing phase for a first predetermined number of seconds and a drying phase for a second predetermined number of seconds.

[0027] In a further embodiment of the application, the button will initiate a cleaning cycle, including a washing phase until the software determines that the area is sufficiently clean.

[0028] In an embodiment of the application, the activation device for the toilet or bidet can be two buttons, one for vaginal cleaning and one for rear cleaning, where the pressing of either button will initiate a cleaning cycle including a washing phase and a drying phase.

[0029] In a further embodiment of the application, the pressing of the button for vaginal cleaning will initiate a cleaning cycle of the vaginal area, including a washing phase for a first predetermined number of seconds and a drying phase for a second predetermined number of seconds.

[0030] In an additional embodiment of the application, the pressing of the button for rear cleaning will initiate a cleaning cycle of the anal area, including a washing phase, the mode and duration of which is controlled by the software until the anal area is considered sufficiently clean. The software will automatically learn to improve the cleaning process over time.

[0031] In an embodiment of the application, the electronic system of the toilet or bidet can be powered by connection to an electrical line, an internal rechargeable battery or a solar panel.

[0032] The foregoing has outlined rather broadly the more important features of the present application in order to provide an overview of the detailed description of the application that follows and in order to provide an insight into the contribution of the present application to the art. Other features of the application will be described hereinafter and will form the subject of the claims appended to this specification. These features together with other embodiments of the application, and indeed the application itself, will be best understood from the following description taken in conjunction with the accompanying drawings, and from the

[0033] The term "substantially" is defined as being at least close to (and can include) a given value or state, as understood by one of ordinary skill in the art. In one embodiment, the term "substantially" refers to a range of within 10% of a given value or state, preferably within 5%, more preferably within 1%, most preferably within 0.1%.

[0034] For a conceptual understanding of the present application and its operational advantages, reference is made to the accompanying drawings and descriptive matter in which preferred embodiments of the application are illustrated. Other features and advantages of the present application will become apparent from the following description of preferred embodiments, exemplifying the principles of the application, taken in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0035] The advantages of the present application will become apparent from the following detailed description of exemplary embodiments thereof, considered in conjunction with the drawings in which:

[0036] Figure 1 Top perspective view of an internal camera and fluid nozzle retracted of an embodiment of an electronic bidet system.

[0037] Figure 2 Top perspective view of an internal camera and fluid nozzle extended of an embodiment of an electronic bidet system.

[0038] Figure 3 Top perspective view of an internal camera and fluid nozzle retracted of an embodiment of an electronic bidet system.

[0039] Figure 4 Top perspective view of an internal camera and fluid nozzle extended of an embodiment of an electronic bidet system.

[0040] Figure 5 Side cutaway view of an internal camera and fluid nozzle retracted of an embodiment of an electronic bidet system with a user seated on the system.

[0041] Figure 6 Top view of an embodiment of an electronic bidet system with a fluid nozzle that houses both a camera and a flash unit and an air dryer.

[0042] Figure 7 Top view of an embodiment of an electronic bidet system with three nozzles. One nozzle for dispensing fluid, one nozzle housing an air dryer, and one nozzle housing a camera and flash unit.

[0043] Figure 8 Chart showing the absorption spectrum of bilirubin and the RGB spectrum of a typical RGB sensor.

[0044] Figure 9 Chart showing the absorption spectrum of human skin, bilirubin, and the RGB spectrum of a typical RGB sensor.

[0045] Figure 10 Image showing detection of fecal matter on skin.

[0046] Figure 11is a block diagram showing an electronic bidet system configuration. DETAILED DESCRIPTION

[0047] Several embodiments of the present application will now be described in detail with reference to the drawings. These embodiments are provided to illustrate the present application and should not be construed to limit the scope of the present application. Indeed, various modifications and variations of the present application will be apparent to those skilled in the art from the teachings of the present application and the associated drawings, which are presented in connection with the description. It is to be understood that while a certain

[0048] As Figures 1-11 shown, the present application discloses a standalone electronic toilet bidet system 1, a bidet system 2, and an electronic toilet bidet system for insertion into a wheelchair, all three systems use artificial intelligence software containing a fecal detection algorithm.

[0049] The toilet 1 system includes a refillable water tank 3, a bowl 4 with an opening 5, a seat 6, a seat cover 7, at least one fluid nozzle 8 for spraying water discharged from the water tank 3 to the genital and rectal area 9 of the user 18, and a housing for a smart camera 10. In embodiments of the present application, the electronic system of the toilet 1 can be powered by connecting to an electrical wire, a rechargeable battery, or a solar panel. In further embodiments of the present application, the refillable water tank 3 of the toilet 1 does not need to be connected to a fixed water supply system.

[0050] The bidet 2 system includes a refillable water tank 11, a bowl 12 with an opening 13, a seat 14, a seat cover 15, at least one fluid nozzle 16 for spraying water discharged from the water tank 11 to the genital and rectal area 9 of the user 18, and a housing for a smart camera 17. In embodiments of the present application, the electronic system of the bidet 2 can be powered by connecting to an electrical wire, a rechargeable battery, or a solar panel.

[0051] The electronic toilet bidet system for insertion into a wheelchair [not shown] allows the bottom of the wheelchair seat to be detached and folded back. The portable bidet can be inserted from the back of the wheelchair through the seat. The electronic toilet bidet system for insertion into a wheelchair includes a refillable water tank, a bowl with an opening, a seat, a seat cover, at least one fluid nozzle for spraying water discharged from the water tank to the genital and rectal area 9 of the user 18, and a housing for a smart camera. In embodiments of the present application, the electronic toilet bidet system for insertion into a wheelchair can be powered by connecting to an electrical wire, a rechargeable battery, or a solar panel. In embodiments of the present application, the refillable water tank of the wheelchair toilet does not need to be connected to a fixed water supply system.

[0052] All of the systems of the present application can also include a camera flash 19 and an air dryer 20 on the fluid jets 8 and 16, respectively. The fluid jets 8 and 16 are connected to a device 21 for moving the fluid jets and air dryer in three dimensions within the bowl to change the direction of any water or drying air that is sprayed. The camera light or flash 19 within the bowl 3 provides illumination for capturing images or video when there is no or little light within the bowl (for example, when a user is very obese and blocks the light that enters through the bowl opening, or when a blind user is using the toilet 1 or bidet 2 in the dark).

[0053] All of the systems of the present application have integrated within the bowl one or more smart cameras 10 or 17, and a controller 22 that can run executable artificial intelligence, computer vision, and spectroscopy software applications.

[0054] The smart cameras 10 or 17 can each be connected to the fluid jets 8 or 16, or to a separate air dryer jet 23 for moving the air dryer in three dimensions within the bowl to change the direction of the air that is blown. The smart cameras 10 or 17 and camera flash 19 can be connected to a separate jet 24 for moving the smart cameras and flash in three dimensions within the bowl. The controller 22 also executes software that is operatively connected to the weight or infrared sensors, fluid jets, devices for moving the jets in three dimensions, and smart cameras 10 or 17.

[0055] The user 18 can activate any of the systems by pressing a button 25 or other activation device on the toilet 1 or bidet 2 that is operatively connected to the controller 22. Examples of other activation devices can include a remote control, a microphone that incorporates voice recognition software, a smartphone, a tablet, a touchpad, or a multi-touch screen.

[0056] When the user 18 approaches one of the systems, sensors detect the user 18 and send a signal to the controller 22. In embodiments of the present application, these sensors can be infrared sensors that detect reflected projected infrared light from an approaching user, or weight sensors incorporated into the seat. In another embodiment of the present application, the controller 22 is not activated until the user 18 presses the button 25 or other activation device.

[0057] Once the user 18 sits on the seat of one of the systems, and the controller 22 is activated, the controller sends a signal to the internal smart camera to capture one or more digital images, or a live video stream, of the user’s 18 rectal and genital area 9 through the bowl opening. In yet another embodiment of the present application, the system can incorporate a separate motion-detecting camera 26 that is activated as soon as the user sits on the seat.

[0058] The image or video stream is transmitted to the controller 22 and analyzed using artificial intelligence, computer vision, and spectroscopy software to identify and locate the lower body orifices of the user 18 genital and rectal area 9 and their location, size, and shape. In embodiments of the invention, the artificial intelligence software will identify and locate the following classes of objects for localization and tracking: anus, testicles, lower penis, vagina, hair tufts, and various skin diseases or conditions, including burn marks, hemorrhoids, birthmarks, moles, acne, and tumors. The software will assign a score and a confidence to the class of each detected object on the user's rectal and genital area using object models. The software will suppress any redundant or conflicting detections.

[0059] Fecal detection

[0060] The system of the invention automatically detects feces on the user 18 by detecting the absorption spectrum of the feces' biomarker, bilirubin. Figure 8 The absorption spectrum of bilirubin and the RGB spectrum of a typical RGB sensor are shown.

[0061] In the presence of bilirubin, the light in the blue channel (B) will decrease because the blue light is absorbed by the feces, while the green (G) and red (R) light is not. Therefore, the ratio of the green or red channel to the blue channel can be used to detect the presence of feces.

[0062] Figure 9 The absorption spectrum of bilirubin and the RGB spectrum of a typical RGB sensor are shown. The maximum contrast between the user's skin color and the feces is in the ratio of the green channel to the blue channel (G / B). Therefore, the discriminant is:

[0063]

[0064] Figure 10 An example of a fecal detection image is shown. Image 27 is an image of skin 29 covered by feces 28. The fecal detection algorithm locates the skin contaminated by feces as shown in image 30.

[0065] In the absence of feces, the value of F is zero, and as the ratio between G and B increases, F also increases. However, for uncontaminated skin 29, F is also greater than 1. The fecal detection algorithm identifies the location of uncontaminated skin and calculates F Skin .

[0066] F is calculated for the entire image d = F - F Skin .

[0067] The value of F for the location of the skin with feces is d > 0.

[0068] The method of the present invention, by detecting the absorbance spectrum of bilirubin, can detect fecal matter on any type of skin tone of the user 18. For any skin tone, the blue channel (B) will not be absorbed as it will be absorbed by the fecal matter. In addition, the method of the present invention, by detecting the absorbance spectrum of bilirubin, can detect fecal matter around the hair tufts of the user 18 as well as various skin diseases or conditions, including burn marks, hemorrhoids, birthmarks, moles, acne, and tumors. For any of these hair tufts and various skin diseases or conditions, the blue channel (B) will not be absorbed as it will be absorbed by the fecal matter.

[0069] Based on these analyzed images, the controller 22 sends signals to the devices 21 for moving the fluid nozzles to clean the skin contaminated by fecal matter. The fluid nozzles will move in three-dimensional space to automatically adjust the nozzles to spray water and clean for the specific orifice type, orifice location, orifice size, orifice shape, gender, body type, body weight, and other characteristics of the user.

[0070] Once the cleaning cycle is complete, the system will automatically scan for any remaining fecal matter on the user by detecting the absorbance spectrum of bilirubin as described above. If fecal matter is detected, the system will start the cleaning cycle again. These steps will be repeated until the system detects no fecal matter.

[0071] Once no fecal matter is detected on the user, the system will move the air dryer in three-dimensional space to automatically adjust the nozzles to dry for the specific orifice type, orifice location, orifice size, orifice shape, gender, body type, body weight, and other characteristics of the user.

[0072] The controller 22 can store multiple images of each use of the system. The software of the controller 22 will use machine learning software to build a model of the orifices of the lower body of the user from the image data. The controller 22 will use this model to improve the recognition of the specific user and increase the efficiency of the system for each use of that user.

[0073] The controller 22 will use machine learning software to efficiently clean the rectal and genital areas of the user in normal and abnormal situations. For example, abnormal situations can include, but are not limited to, cleaning the anus of the user when the user has hemorrhoids by moving the hemorrhoids with one fluid nozzle so that the other fluid nozzle can clean the sides of the anus, or cleaning the rectal and genital areas of the user after a diarrhea episode when the fecal matter is not only smeared around the anus but also around the buttocks, testicles, and genitals of the user. In the case of explosive diarrhea, the controller 22 will clean the basin by aiming the fluid nozzles at the soiled points and increasing the water pressure until the soiled points are cleaned.

[0074] The controller 22 can also use machine learning software to determine a model of the user's rectal and genital area after cleaning. The controller 22 will continue to clean until the user's rectal and genital area is sufficiently clean.

[0075] The machine learning software uses computer vision and computational learning theory to generate a computational model of the user that can learn from additional data acquired from the user and make predictions.

[0076] In embodiments of the present invention, the actual computational models and techniques used for the machine learning software include, but are not limited to: supervised learning models such as CNNs (i.e. Convolutional Neural Networks), unsupervised learning, semi-supervised learning, reinforcement learning, representation learning, rule-based machine learning, similarity and metric learning, support vector machines, regression algorithms, instance-based algorithms, regularization algorithms, decision tree algorithms, Bayesian algorithms, clustering algorithms, association rule learning algorithms, artificial and traditional neural networks, deep learning algorithms, dimensionality reduction algorithms, ensemble algorithms, random forest models, traditional stochastic models, and symbolic learning.

[0077] In embodiments of the present invention, the cleansing liquid ejected by the fluid nozzle can include any combination of clean water rinse, low-allergenic liquid soap, or special liquid medication for diseases or conditions such as hemorrhoids. In further embodiments, the fluid nozzle can eject an appropriate basin cleaner.

[0078] In further embodiments of the present invention, the controller 22 can instruct the fluid nozzle to perform a special cleaning action for unusual anatomical conditions or body issues detected by the computer vision software (e.g. hemorrhoids, moles, burn marks, or tumors). The cleaning action can be automatically adjusted for predetermined conditions.

[0079] In one embodiment of the present invention, the system can further include object tracking software to track any movement of the user on the seat. In embodiments of the present invention, the software will identify and locate detected objects by category in the captured plurality of images. Based on these analyzed images, the controller 22 sends a signal to automatically compensate the nozzle to accommodate any movement of the user. In another embodiment of the present invention, when the software detects that the user has begun to move off the seat, the controller 22 can automatically stop the nozzle.

[0080] Figure 6 A block diagram depicting one embodiment architecture of the controller 22 is shown. The controller 22 can include a CPU / microprocessor 31, a main RAM / NV memory 32. The CPU / microprocessor 31 is capable of communicating with the camera through signals through built-in or external peripherals. The peripherals allow the CPU / microprocessor 31 to obtain and analyze images or videos captured by the smart camera.

[0081] The memory module 32 can include:

[0082] A) Non-volatile (NV) memory for storing the toilet application software and machine learning computer vision software executed by the CPU / microprocessor 31, as well as the database of body orifices and anatomical conditions used by the machine learning computer vision software for recognizing, classifying, detecting, locating, segmenting and tracking the lower body orifices and anatomical conditions (e.g. hemorrhoids) of the rectal and genital areas of the user. An operating system or kernel can also reside in this NV memory.

[0083] B) Random access memory (RAM) required for processing captured images or videos and other logic executed by the operating system, machine learning computer vision software and toilet application software.

[0084] Embodiments of the CPU / microprocessor 31 can include a processor, microprocessor, DSP, multi-core processor, microcontroller, system on a chip, field-programmable gate array (FPGA), application-specific integrated circuit (ASIC), application-specific instruction-set processor (ASIP), or graphics processing unit (GPU).

[0085] In further embodiments, the main memory 32 can store computer retrievable information and software executable instructions, and can also include solid-state, magnetic or optical recording media.

[0086] In embodiments of the present application, the underlying architecture of the system can be implemented using one or more computer programs, each of which can be executed under the control of an operating system (such as Windows, OS2, DOS, AIX, UNIX, Linux) or a simple kernel.

[0087] Aspects and benefits of the present application are apparent from the detailed description, thus, it is intended that the claims encompass these aspects and benefits of the present application within their scope and spirit. Moreover, since numerous modifications and changes will readily occur to those skilled in the art, it is not desired to limit the present application to the exact construction and operation described and illustrated herein. Accordingly, all suitable modifications and equivalents should be considered as falling within the scope of the present application as claimed herein.

Claims

1. An electronic toilet system with artificial intelligence, computer vision, and spectroscopy software, characterized by, comprise: a refillable water reservoir; a bowl with an opening; a seat ring; a seat ring cover; at least one fluid nozzle for spraying fluid; means for moving the fluid nozzle in three dimensions within the bowl on the toilet bowl; at least one air dryer comprising an air dryer nozzle and means for moving the air dryer nozzle in three dimensions within the bowl on the toilet bowl; a computing device comprising executable software and a storage device; a camera contained within the bowl, wherein the camera is operatively connected to the computing device; a light source located within the toilet bowl proximate to the camera; at least one activation means for activating the toilet bowl, wherein the activated toilet bowl illuminates the user's genitalia, anus and perianal area with white light from the light source through the bowl opening; wherein the camera captures a first plurality of images of the illuminated user's genitalia, anus and perianal area through the bowl opening of the toilet bowl, wherein the first plurality of images are transmitted to the computing device and analyzed with software to identify fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light; wherein the computing device sends a signal to the means for moving the fluid nozzle in three dimensions to automatically adjust the nozzle to spray fluid to clean any fecal matter detected on the user's genitalia and rectal area; wherein the camera captures a second plurality of images of the illuminated user's genitalia, anus and perianal area through the bowl opening of the toilet bowl, wherein the second plurality of images are transmitted to the computing device and analyzed with software to identify any residual fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light; wherein the computing device sends a signal to the means for moving the fluid nozzle in three dimensions to automatically adjust the nozzle to spray fluid to clean any residual fecal matter detected on the user's genitalia and rectal area; wherein the camera continues to capture additional plurality of images of the illuminated user's genitalia, anus and perianal area for analysis with software to identify any residual fecal matter on the user by detecting the difference in absorption spectrum of biliverdin versus the user's skin under white light until no fecal matter is identified; and wherein the computing device sends a signal to the means for moving the air nozzle in three dimensions to automatically adjust the air nozzle to spray dry air to dry the user's genitalia and rectal area.

2. The electronic toilet system of claim 1, wherein, Fecal matter is detected by the ratio of green channel light absorption divided by blue channel light absorption minus 1, where the value is zero in the absence of fecal matter and the amount of fecal matter increases as the ratio of green channel light absorption divided by blue channel light absorption increases.

3. The electronic toilet system of claim 1, wherein, The activation means comprises a proximity sensor that detects the user sitting on the toilet bowl and automatically activates the toilet bowl.

4. The electronic toilet system of claim 1, wherein, The activation device comprises a proximity sensor that detects the user sitting on the toilet bowl and automatically activates the toilet bowl, wherein the proximity sensor is comprised of a group selected from an infrared sensor, a weight sensor, and a motion detection camera.

5. The electronic toilet system of claim 1, wherein, The fluid ejected by the fluid nozzle is comprised of a group selected from a clear water rinse, a hypoallergenic liquid soap, and a liquid medication.

6. The electronic toilet system of claim 1, wherein, The software will identify and locate the user's anus, testicles, penis, vagina, hair tufts, burn marks, hemorrhoids, birthmarks, moles, acne, tumors, and soiled locations.

7. The electronic toilet system of claim 1, wherein, The first plurality of images, second plurality of images, and additional plurality of images comprise digital video.

8. An electronic bidet system with artificial intelligence, computer vision, and spectroscopy software, characterized in that, Comprising: a water reservoir; a basin with an opening; a seat ring; a seat ring cover; at least one fluid nozzle for ejecting fluid; a device on the bidet for three-dimensional movement of the fluid nozzle within the basin; at least one air dryer, comprising an air dryer nozzle and a device on the bidet for three-dimensional movement of the air dryer nozzle within the basin; a computing device, comprising executable software and a storage device; a camera contained within the basin, wherein the camera is operably connected to the computing device; a light source located within the bidet proximate to the camera; at least one activation device for activating the bidet, wherein the activated bidet illuminates a user's genitalia, anus, and perianal area with white light from the light source through the basin opening; wherein the camera captures a first plurality of images of the illuminated user's genitalia, anus, and perianal area through the basin opening of the bidet, wherein the first plurality of images are transmitted to the computing device and analyzed with software to identify fecal matter on the user by detecting differences in the absorption spectrum of bilirubin versus the user's skin under white light; wherein the computing device sends a signal to the device for three-dimensional movement of the fluid nozzle to automatically adjust the nozzle to eject fluid to clean any detected fecal matter from the user's genitalia and rectal area; wherein the camera captures a second plurality of images of the illuminated user's genitalia, anus, and perianal area through the basin opening of the bidet, wherein the second plurality of images are transmitted to the computing device and analyzed with software to identify any remaining fecal matter on the user by detecting differences in the absorption spectrum of bilirubin versus the user's skin under white light; wherein the computing device sends a signal to the device for three-dimensional movement of the fluid nozzle to automatically adjust the nozzle to eject fluid to clean any detected remaining fecal matter from the user's genitalia and rectal area; wherein the camera continues to capture additional plurality of images of the illuminated user's genitalia, anus, and perianal area, analyzed with software to identify any remaining fecal matter on the user by detecting differences in the absorption spectrum of bilirubin versus the user's skin under white light until no fecal matter is identified; and Wherein the computing device sends a signal to the means for three-dimensional movement of the air nozzle to automatically adjust the air nozzle to emit dry air to dry the user's genital and rectal area.

9. The electronic bidet system of claim 8, wherein, Fecal matter is detected by the ratio of green channel light absorption divided by blue channel light absorption minus one, where the value is zero in the absence of fecal matter and the amount of fecal matter increases with an increase in the ratio of green channel light absorption divided by blue channel light absorption.

10. The electronic bidet system of claim 8, wherein, The activation means includes a proximity sensor that detects a user sitting on the bidet and automatically activates the bidet.

11. The electronic bidet system of claim 8, wherein, The activation means includes a proximity sensor that detects a user sitting on the bidet and automatically activates the bidet, wherein the proximity sensor is comprised of a group selected from an infrared sensor, a weight sensor, and a motion detection camera.

12. The electronic bidet system of claim 8, wherein, The fluid emitted by the fluid nozzle is comprised of a group selected from a clear water rinse, a hypoallergenic liquid soap, and a liquid medication.

13. The electronic bidet system of claim 8, wherein, The software will identify and locate the user's anus, testicles, penis, vagina, pube cluster, burn marks, hemorrhoids, birthmarks, moles, acne, tumors, and soiled locations.

14. The electronic toilet system of claim 8, wherein, The first plurality of images, second plurality of images, and additional plurality of images comprise digital video.

15. An electronic wheelchair commode system with artificial intelligence, computer vision, and spectroscopy software, characterized in that, Comprising: A refillable water reservoir; A basin with an opening; A seat ring; A seat ring cover; At least one fluid nozzle for emitting fluid; Means for three-dimensional movement of the fluid nozzle within the basin on the wheelchair commode; At least one air dryer comprising an air dryer nozzle and means for three-dimensional movement of the air dryer nozzle within the basin on the wheelchair commode; A computing device comprising executable software and a storage device; A camera contained within the basin, wherein the camera is operatively connected to the computing device; A light source located within the wheelchair commode proximate to the camera; At least one activation means for activating the wheelchair commode, wherein the activated wheelchair commode illuminates a user's genital, anal, and perianal area with white light from the light source through the basin opening; Wherein the camera captures a first plurality of images of the illuminated user's genital, anal, and perianal area through the basin opening of the wheelchair commode, wherein the first plurality of images are transmitted to the computing device and analyzed with software to identify fecal matter on the user by detecting differences in the absorption spectrum of bilirubin versus the user's skin under white light; Wherein the computing device sends a signal to the means for three-dimensional movement of the fluid nozzle to automatically adjust the nozzle to emit fluid to clean any detected fecal matter from the user's genital and rectal area; Wherein the camera captures a second plurality of images of the illuminated user's genital, anal, and perianal area through the basin opening of the wheelchair commode, wherein the second plurality of images are transmitted to the computing device and analyzed with software to identify any residual fecal matter on the user by detecting differences in the absorption spectrum of bilirubin versus the user's skin under white light; wherein the computing device sends a signal to the means for three-dimensional movement of the fluid nozzle to automatically adjust the fluid nozzle to spray fluid to clean any residual fecal matter detected by the camera from the user's genital and rectal areas; wherein the camera continues to capture additional images of the illuminated user's genital, anal and perianal areas, and the software analyzes the images to identify any residual fecal matter on the user by detecting differences in the absorption spectrum of bilirubin from the user's skin under white light until no fecal matter is identified; and wherein the computing device sends a signal to the means for three-dimensional movement of the air nozzle to automatically adjust the air nozzle to spray dry air to dry the user's genital and rectal areas.

16. The electronic wheelchair toilet system of claim 15, wherein, Fecal matter is detected by the ratio of green channel light absorption divided by blue channel light absorption minus 1, where the value is zero in the absence of fecal matter and the amount of fecal matter increases as the ratio of green channel light absorption divided by blue channel light absorption increases.

17. The electronic wheelchair commode system of claim 15, wherein, The activation means comprises a proximity sensor that detects a user sitting on the wheelchair toilet and automatically activates the wheelchair toilet.

18. The electronic wheelchair commode system of claim 15, wherein, The activation means comprises a proximity sensor that detects a user sitting on the wheelchair toilet and automatically activates the wheelchair toilet, wherein the proximity sensor is selected from the group consisting of an infrared sensor, a weight sensor and a motion detection camera.

19. The electronic wheelchair commode system of claim 15, wherein, The fluid sprayed by the fluid nozzle is selected from the group consisting of clean water rinse, hypoallergenic liquid soap and liquid medication.

20. The electronic wheelchair commode system of claim 15, wherein, The software identifies and locates the user's anus, testicles, penis, vagina, pube cluster, burn marks, hemorrhoids, birthmarks, moles, acne, tumors and soiled locations.

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