Intelligent pet feeding system and method

Abstract

The invention discloses an intelligent pet feeding system and method. The system comprises a background server, a mobile terminal and at least one feeder. Each feeder is connected with the background server and the mobile terminal; the background server is connected with the mobile terminal; the feeder comprises a communication module, an AI processor, an identification module, an interaction module, a cat feeding module and a solid food feeding module; the communication module is respectively connected with the background server, the mobile terminal and the AI processor; the AI processor is respectively connected with the identification module, the interaction module, the cat strip feeding module and the solid food feeding module; the cat house has the beneficial effects that the cat house can automatically feed cat strips and solid food and is combined with an AI learning function, so that a cat owner can remotely interact with a cat, the cat is helped to learn and train, and the relationship between the owner and the cat is enhanced.

Description

Technical Field

[0001] The invention relates to an intelligent pet feeding system and method, belonging to the technical field of pet feeders. Background Art

[0002] At present, with the increase in the number of cat-raising families and the improvement of cats' status in the family, people are paying more and more attention to the balanced and healthy diet of cats. Traditional dry food feeding can no longer meet the demand, and fresh food such as cat strips are gradually becoming popular. Cat strips are a kind of paste cat food packed in a roll film plastic packaging bag, usually in independent small packages. However, manually feeding cat strips requires cat owners to tear open the packaging bag and slowly squeeze out the cat strips for the cat to eat; after feeding the cat strips, cat owners also need to dispose of the empty packaging bag and accidentally spilled cat strips. This is not only inconvenient, but also easy to spill, causing waste and environmental pollution.

[0003] In addition, many cat owners are too busy to feed their cats regularly, which results in an unscientific diet for their cats, which can easily lead to health risks such as obesity, heart disease, and gastrointestinal problems. Cat owners lack time to train their cats and cannot immediately reward or punish them when they perform well or make mistakes, which can easily lead to cats developing bad habits such as destroying items and urinating and defecating anywhere.

[0004] Furthermore, although the existing automatic dry food feeders can feed dry food at a fixed time and quantity, they cannot conveniently feed cat strips, nor do they have AI learning functions. They cannot automatically adjust the feeding time and amount according to the actual situation of the cat, which may lead to situations such as inappropriate feeding time, overfeeding or underfeeding.

[0005] Therefore, it is urgent to develop and design a device that can automatically feed cat strips and dry food, and combine it with AI learning functions, so that cat owners can interact with cats remotely, help cats with learning and training, and enhance the relationship between owners and cats. Summary of the invention

[0006] In view of the above-mentioned existing technical problems, the present invention provides an intelligent pet feeding system and method to achieve the technical purpose of improving the dietary health and quality of life of cats, while enhancing the interaction and connection between owners and cats.

[0007] To achieve the above technical objectives, the present invention provides an intelligent pet feeding system, including a background server, a mobile terminal, and at least one feeder; each feeder is connected to the background server and the mobile terminal respectively; the background server is connected to the mobile terminal;

[0008] The feeder is used to realize automatic feeding and interaction with cats; it includes a communication module, an AI processor, an identification module, an interaction module, a cat strip feeding module, and a dry food feeding module; and the communication module is respectively connected to a backend server, a mobile terminal, and an AI processor; the AI ​​processor is respectively connected to the identification module, the interaction module, the cat strip feeding module, and the dry food feeding module;

[0009] The backend server is used to store the registration information of the cat, the videos and pictures collected by the recognition module, the remaining amount of cat strips and dry food in the feeder, and the device status information; store the formula information of cat strips and dry food of different brands on the market, perform nutritional analysis, and form feeding recommendations for different cats based on the analysis results, and push them to the mobile terminal;

[0010] The mobile terminal is used to pre-install the APP of the system. The user interacts with the system through the pre-installed APP, including registering cat information, accessing files on the backend server, and controlling the feeder; accessing e-commerce platforms and social platforms through the APP; and making remote voice and video calls with the feeder through the backend server;

[0011] The communication module is used for wireless data transmission between the backend server, the mobile terminal and the feeder;

[0012] The recognition module is used to collect the cat's image, nose print, sound and behavior data, and transmit it to the AI ​​processor for analysis;

[0013] The interaction module is used to conduct remote voice and video calls with the mobile terminal through the background server;

[0014] The cat strip feeding module is used for storing, cutting, squeezing, placing and handling waste of cat strips, and feeding the cat according to the feeding instructions issued by the AI ​​processor;

[0015] The dry food feeding module is used to store, open, and hold dry food, and feed the cat according to the feeding instructions issued by the AI ​​processor;

[0016] The AI ​​processor is used to perform intelligent analysis on the cat's behavior and expression based on the video and audio data collected by the interactive module, deduce the cat's behavioral prediction and real-time mood, and facilitate the cat owner to achieve remote emotional interaction with the cat; and issue feeding instructions to the cat strip feeding module and the dry food feeding module according to the feeding plan.

[0017] Furthermore, the recognition module of the present invention includes a proximity sensor, a microphone, and a camera, and the AI ​​processor is connected to the proximity sensor, the microphone, and the recognition camera respectively.

[0018] The present invention further provides that the interaction model includes a speaker, a light strip, a camera, and a microphone, and the AI ​​processor is respectively connected to the speaker, the light strip, the camera, and the microphone.

[0019] The present invention further provides that the cat strip feeding module comprises a cat strip storage unit, a cat strip cutting unit, a cat strip squeezing unit, a cat strip holding unit, and a garbage bin;

[0020] The cat strip storage unit is used to store unopened cat strips; monitor the stock of cat strips in real time and transmit it to the backend server;

[0021] The cat strip cutting unit is used to cut off the seal of the packaging bag of the cat strip by scissors;

[0022] The cat strip extrusion unit is used to squeeze the cat strips out of the packaging bag through a pushing device;

[0023] The cat strips holding unit is used to hold the extruded cat strips;

[0024] The garbage bin is used to collect the cut packaging bag seals and waste packaging bags.

[0025] Further in the present invention, the dry food feeding module includes a dry food storage unit, a dry food dropping unit, and a dry food tray unit;

[0026] The dry food storage unit is used to store dry food; monitor the amount of dry food in real time and transmit it to the backend server;

[0027] The dry food dropping unit is used to transport the dry food in the dry food storage unit to the dry food tray unit;

[0028] The dry food tray unit is used to hold the dry food dropped from the dry food dropping unit.

[0029] The present invention also provides an intelligent pet feeding method, using the intelligent pet feeding system, including an intelligent feeding method;

[0030] The intelligent feeding method includes: collecting a cat's call segment through a microphone, and using a speech recognition model to deduce and predict the cat's call to determine whether the cat is in a hungry state. If not, the system returns and continues to collect the cat's call segment through the microphone for monitoring. If so, the system sends a feeding command to the mobile terminal APP;

[0031] At the same time, the cat's facial expression pictures are collected through the camera, and the cat's facial expression is deduced and predicted based on the facial expression recognition model to determine whether the cat is hungry. If not, the system returns and continues to collect cat facial expression pictures through the camera for monitoring; if so, the system sends a feeding command to the mobile terminal APP;

[0032] After the mobile terminal APP receives the feeding command, it decides whether to execute the feeding instruction based on the user's pre-set or real-time selection; if the user chooses to execute the feeding, the system starts the cat strip feeding module and / or the dry food feeding module; if the user chooses not to execute the feeding, the system returns and continues to collect the cat's calls and expressions through the microphone and camera for monitoring.

[0033] The present invention also provides an intelligent pet feeding method, using the intelligent pet feeding system, including a direct feeding method;

[0034] The direct feeding method includes: a user sends a feeding command to a feeder through a mobile terminal APP, and after the feeder receives the command, it immediately starts a cat strip feeding module and / or a dry food feeding module to perform direct feeding.

[0035] The present invention also provides an intelligent pet feeding method, using the intelligent pet feeding system, including a timed feeding method;

[0036] The timed feeding method includes: the user sets the timed delivery parameters through the mobile terminal APP, including the feeding time schedule and whether to prompt the user to confirm the parameters when feeding;

[0037] When the time value in the set feeding time schedule is met: if the parameter of whether to remind the user to confirm is set to no, the cat strip feeding module and / or dry food feeding module are directly started to perform scheduled feeding;

[0038] If the parameter of whether to remind the user to confirm is set to yes, a feeding reminder command is sent to the mobile APP to ask the user whether to confirm the execution of feeding. After the user confirms, the cat strip feeding module and / or dry food feeding module are started for scheduled feeding.

[0039] In summary, the present invention is a device that can automatically feed cat strips and dry food, solving the inconvenience and spillage problems of cat owners feeding cat strips manually. And through the AI ​​learning function, the feeding time and amount are automatically adjusted according to the actual situation of the cat, so as to achieve scientific feeding and avoid health risks. And combined with the remote interaction function, the cat owner can interact with the cat remotely, help the cat to learn and train, and enhance the relationship between the owner and the cat. It also improves the pet-raising experience of cat owners through intelligent and automated feeding and training methods, making cat raising easier, more convenient and more interesting.

[0040] Compared with the prior art, the present invention has the following technical advantages:

[0041] 1. Scientific feeding: The system of the present invention integrates the automatic feeding function of cat strips and dry food, realizes the reasonable combination of dry and wet food, and ensures the nutritional balance of cats. In addition, through the AI ​​learning function, the system of the present invention can automatically adjust the feeding plan according to the cat's eating habits and needs, making the feeding more scientific and healthy.

[0042] 2. AI feeding and training: The system of the present invention collects the cat's eating information, trains the feeding model, and analyzes the personalized feeding plan suitable for each cat to ensure that the feeding is more scientific and healthy. At the same time, the system of the present invention can also generate an interaction plan suitable for cats. Even if the cat owner is not at home, he can enhance the emotional connection with the cat through remote interaction and conduct certain learning and training.

[0043] 3. Cat noodle database: The background server of the system of the present invention will collect the ingredient information of cat noodle of different brands on the market, and can prompt the appropriate usage amount and other nutrients that need to be supplemented. It can also recommend different cat noodle formulas according to the cat's breed and eating habits to meet the diverse needs of cats.

[0044] 4. Cat face recognition technology: The system of the present invention adopts advanced image recognition technology to collect cat images, nose prints, sounds and other information, and transmits it to the AI ​​processor for real-time analysis. It can understand the feeding status and behavioral habits of each cat in real time, and provide data support for personalized feeding and training.

[0045] 5. Multi-device identification and network collaboration: The system of the present invention supports network collaboration between multiple feeders, data aggregation and analysis, and is suitable for scenarios with multiple cats in households or pet institutions. In addition, through multi-device identification, the system of the present invention can more accurately track the eating conditions and health status of each cat, providing pet owners with more comprehensive management services. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a functional block diagram of the intelligent pet feeding system of the present invention;

[0047] Figure 2 A flow chart of intelligent feeding in the intelligent pet feeding method of the present invention;

[0048] Figure 3 A signal transmission diagram of intelligent feeding in the intelligent pet feeding method of the present invention;

[0049] Figure 4 A signal transmission diagram for direct feeding in the intelligent pet feeding method of the present invention;

[0050] Figure 5 This is a signal transmission diagram for timed feeding in the intelligent pet feeding method of the present invention. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in combination with the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0052] In the description of this application, words such as "connection" or "connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0053] Example 1: Figure 1 As shown, the present invention aims to provide intelligent feeding services and interactive experience for pet cats, and provides an intelligent pet feeding system, including a background server, a mobile terminal, and at least one feeder; and each feeder is connected to the background server and the mobile terminal respectively to realize two-way transmission of data and issuance of control instructions; the background server is connected to the mobile terminal. The following is a detailed description of each component of the system and its functions.

[0054] (1) The backend server serves as the data center of the entire system and is responsible for storing, processing and analyzing various data related to pet feeding. Specifically, it is used to store the registration information of cats; save videos, pictures and other files collected by the recognition module; record the remaining amount of cat food and dry food in the feeder and the device status information of the feeder; store the formula information of cat food and dry food of different brands on the market, perform nutritional analysis, form feeding recommendations for different cats, and push them to mobile terminals.

[0055] In specific implementation, the backend server will collect the ingredient information of cat strips and dry food of different brands on the market, and conduct nutritional analysis. The resulting feeding recommendations will be recommended to the APP (which can be notifications, or e-commerce rankings, recommendation pages, etc.), and then accurately pushed to cat owners. Generally, cat owners choose cat strips and cat food suitable for their cats based on feeding recommendations. In addition, feeding recommendations can be directly linked to cat food stores on mobile terminal APPs and displayed to cat owners in the form of preference reports.

[0056] (2) The mobile terminal includes but is not limited to personal terminal devices such as mobile phones and tablets; the APP of the system is pre-installed, and the user interacts with the system through the pre-installed APP, including registering information of one or more cats, accessing videos, images and other files saved by the backend server, and controlling the feeder; accessing the e-commerce platform through the backend server and purchasing consumables and related supplies, accessing the social platform through the backend server, and browsing and sharing videos to achieve more comprehensive pet management; and conducting remote voice and video calls with the feeder through the backend server, so that the user can understand the status of the cat at any time.

[0057] In specific implementation, cat owners can register information for multiple cats at home or in institutions through mobile terminal APP, and learn about the feeding status and behavior habits of each cat in real time. The APP directly accesses the e-commerce platform through a link. This e-commerce platform can be an existing e-commerce platform such as Taobao, or a self-built e-commerce platform, which is convenient for cat owners to purchase cat strips and cat food through internal links. There is a self-built social platform based on pet cat lovers on the APP, so that owners can share cat videos and images saved on the background server, and write or forward cat-raising knowledge.

[0058] (3) The feeder is used to realize automatic feeding and interaction with the cat, and includes multiple functional modules: an AI processor, a communication module, an identification module, an interaction module, a cat strip feeding module, and a dry food feeding module; and the communication module is respectively connected to a background server, a mobile terminal, and an AI processor; the AI ​​processor is respectively connected to the identification module, the interaction module, the cat strip feeding module, and the dry food feeding module, as described below.

[0059] In specific implementation, the family is used as a unit. Multiple feeders within a family unit can be networked and collaborated, and data can be aggregated and analyzed. It is suitable for scenarios with multiple cats in a family or pet institution. Different feeders can be distinguished by lights or background music, and cats can be trained to only use their own equipment to prevent them from accidentally eating other people's food. Each feeder can also detect whether a cat is near the feeder to prevent other cats from accidentally eating food.

[0060] (4) The communication module is used for wireless data transmission between the backend server, mobile terminal and feeder to ensure real-time synchronization of information.

[0061] (5) The recognition module is used to collect the cat's image, nose print, sound and behavior data, and transmit it to the AI ​​processor for analysis, so as to identify the cat's identity and status and provide a basis for feeding and interaction.

[0062] In a specific implementation, the recognition module includes a proximity sensor, a microphone, and a camera, and the AI ​​processor is connected to the proximity sensor, the microphone, and the camera respectively. In addition, the recognition module collects cat data through wide-angle and narrow-wide-angle cameras, and transmits information such as images, nose prints, and sounds to the AI ​​processor.

[0063] Among them, the proximity sensor is used to detect whether the cat is close to the feeder to determine whether it is necessary to continue feeding cat strips. The working principle is as follows: after the feeding process is started, if the proximity sensor senses that the cat is at the feeding port of the feeder, the feeder will continue to pile up cat strips for feeding; if the cat leaves the feeding port, the feeding process will be interrupted. The purpose is to use AI to simulate the real behavior of manually squeezing cat strips for feeding, feeding little by little, to prevent the cat from continuing to feed cat strips when it does not want to continue eating, and to avoid the situation where the squeezed cat strips quickly deteriorate without being eaten by the cat, causing the cat to eat spoiled food.

[0064] The microphone is used to collect the cat's calls and sound data. The cat's calls can reflect its hunger level, emotional state and other information, which is important for formulating feeding plans and interaction plans. The working principle is as follows: The microphone transmits the collected sound data to the AI ​​processor for voice recognition and analysis.

[0065] The camera is used to collect image data of the cat, including the cat's appearance, movements, expressions, etc. Image data is an important basis for identifying the cat's identity and status, and is also the basis for behavioral analysis. The working principle is as follows: the camera captures the cat's image in real time and transmits the data to the AI ​​processor for image recognition and analysis. In addition, there are two cameras, one for close-up shooting and one for wide-angle shooting.

[0066] In addition, the AI ​​processor is connected to the proximity sensor, microphone and camera respectively to realize real-time data reception and processing. When the proximity sensor detects that the cat is approaching, the AI ​​processor will start the microphone and camera to collect data. The collected data is processed and analyzed by the AI ​​processor to identify the cat's identity, status and needs, thus providing a basis for subsequent feeding and interaction.

[0067] In this way, the recognition module realizes the collection and recognition of all-round data of cats by integrating proximity sensors, microphones and cameras. These data provide a rich source of information for the AI ​​processor, enabling the smart pet feeding system to meet the needs of cats more accurately and intelligently.

[0068] (6) The interaction model is used to conduct remote voice and video calls between the background server and the mobile terminal, so as to facilitate cat owners to communicate and remotely train their cats, thereby enhancing the interactive experience between users and cats.

[0069] In a specific implementation, the interaction model includes a speaker, a light strip, a camera, and a microphone, and the AI ​​processor is connected to the speaker, the light strip, the camera, and the microphone respectively. In addition, the number of cameras is not limited, and the recognition module and the interaction module can use the same camera.

[0070] The speaker is used to play sounds from the mobile terminal, such as the user's voice commands or calls, so that the cat can hear and respond. In addition, the speaker is connected to the AI ​​processor to receive and play the audio signal processed by the AI ​​processor.

[0071] The light strip is used to provide visual feedback, such as flashing or changing color, to attract the cat's attention or indicate the status of the feeder. In addition, the light strip is controlled by an AI processor to change color and brightness based on the cat's behavior or the user's instructions.

[0072] The camera is used to capture images of cats in real time for video calls and monitoring of the cat's status. The camera can achieve high-definition image quality and supports night vision to ensure clear images of cats under different lighting conditions. In addition, the camera is connected to the AI ​​processor to transmit the captured image data to the AI ​​processor for processing and analysis.

[0073] The microphone is used to collect the cat's calls and the sounds of the surrounding environment for voice calls and voice recognition. The microphone is the key to achieving two-way voice communication, allowing users to hear the cat's voice and judge the cat's status and needs based on the sound. In addition, the microphone is connected to the AI ​​processor to transmit the collected sound data to the AI ​​processor for voice recognition and analysis. The recognition module and the interaction module can use the same microphone.

[0074] (7) The cat strip feeding module is used to store, cut, squeeze, push out, and hold cat strips, as well as store waste and garbage, and feed cat strips to the cat according to the feeding instructions issued by the AI ​​processor. In particular, it includes a waste and garbage storage function to keep the feeding environment clean.

[0075] (8) The dry food feeding module is used to store, release, and hold dry food, and feed the cat dry food according to the feeding instructions issued by the AI ​​processor, thereby ensuring the supply of dry food and the accuracy of feeding.

[0076] (9) The AI ​​processor, as the core of the system, is connected to the communication module, the recognition module and the interaction module respectively, and instructs the cat strip feeding module and the dry food feeding module respectively; it is used to perform intelligent analysis on the cat's behavior and expression based on the video and audio data collected by the interaction module, deduce the cat's behavior prediction and real-time mood, and facilitate the cat owner to achieve remote emotional interaction with the cat; and issue feeding instructions to the cat strip feeding module and the dry food feeding module according to the feeding plan.

[0077] During specific implementation, the AI ​​processor collects the cat's eating information through the recognition module to train the feeding model, and analyzes the feeding plan suitable for the cat, including food intake, dry-wet food ratio, feeding time and other conditional parameters, to achieve automatic feeding or remote reminders to the user to feed. As the cat grows and its food intake changes, the AI ​​processor of this system will dynamically adjust the feeding model to ensure that the feeding is more scientific and healthy. In addition, each time the cat is fed, it will be tested. If abnormal conditions are found, such as abnormal food intake (whether the cat food strips fed are eaten), abnormal sounds, abnormal movement tracks, abnormal preferences for certain types of food, etc., the system will promptly remind the owner whether he needs to pay attention to the cat's health to avoid problems such as colds that affect the cat's eating.

[0078] In addition, the system collects the behavioral information of cats through a wide-angle camera, conducts feeding model training, and generates an interaction plan suitable for cats. The interaction plan includes interacting with cats through an interactive module, or having video and audio conversations with cat owners. Even if the cat owner is not at home, the emotional connection with the cat can be enhanced through the remote interactive function. In addition, the cat strip can be used in conjunction with the remote training process to establish a positive reward mechanism, making it easier to achieve the ideal training effect. At the same time, the system of the present invention can detect abnormal behaviors of cats, such as destroying furniture, and notify the cat owner through the APP. The cat owner can use the interactive module to remotely stop the cat's wrong behavior by using sound warnings or flashing lights.

[0079] As can be seen from the above, the present invention integrates the feeding functions of dry food and cat strips, and through healthy matching and AI learning, intelligent feeding is carried out according to the eating habits of different pets, and cat strips and dry food are automatically fed. In particular, using cat strips as a reward mechanism for pets, combined with AI learning functions, enables owners to interact with pets remotely, helps pets to learn and train, and enhances the relationship between owners and pets.

[0080] In other embodiments, in the intelligent pet feeding system of the present invention, the cat strip feeding module includes a cat strip storage unit, a cat strip cutting unit, a cat strip squeezing unit, a cat strip holding unit, and a garbage bin, which are specifically described as follows.

[0081] The cat strip storage unit is used to store unopened cat strips to ensure the freshness and safety of the cat strips; it has the function of automatically reading the number of cat strips, can monitor the stock of cat strips in real time, and transmit this information to the backend server so that users can understand and replenish cat strips at any time.

[0082] The cat strip cutting unit is used to cut off the seal of the packaging bag of the cat strip by scissors or similar devices to prepare for squeezing the cat strip, ensure that the cat strip can be squeezed out of the packaging bag smoothly, and prevent the packaging bag fragments from mixing into the cat strip.

[0083] The cat strip extrusion unit is used to squeeze the cat strips out of the bag through a pushing device for the cat to eat, ensuring a smooth and continuous extrusion process and avoiding the breakage or blockage of the cat strips.

[0084] The cat strips holding unit is used to hold the extruded cat strips for direct consumption by cats and is usually designed with a material and structure that is easy to clean and disinfect to ensure hygiene and safety.

[0085] The garbage bin is used to collect the cut packaging bag seals and waste packaging bags to keep the feeding environment clean. In addition, the garbage bin is provided with a capacity reminder to remind the cat owner to dump the garbage in time through the mobile terminal APP.

[0086] In specific implementation, first, when the AI ​​processor receives a feeding instruction, it will first check the number of cat strips in the cat strip storage unit to ensure that there are enough cat strips for feeding. Then, the cat strip storage unit opens the outlet, and a bag of cat strips near the outlet falls into the cat strip cutting unit, which uses scissors to cut off the seal of the packaging bag of the cat strips, in preparation for the extrusion process, and the waste of the packaging bag seal is thrown into the garbage bin. Then, the cat strip extrusion unit slowly squeezes the cat strips out of the packaging bag and places them in the cat strip holding unit. At the same time, the cat's eating situation is detected by the feeding sensor, and the extrusion speed of the cat strip extrusion unit is automatically adjusted. After feeding is completed, the cut packaging bag seal and waste packaging bag will be collected in the garbage bin for subsequent processing. In addition, during the eating process, the eating camera and the eating sensor analyze the cat's eating situation in real time. If the cat leaves halfway, the unextruded cat strips and waste packaging bags will be automatically recovered to prevent the cat from accidentally eating spoiled cat strips.

[0087] As can be seen from the above, the cat strip feeding module realizes the automatic feeding and waste disposal of cat strips by integrating multiple functional units such as storage, cutting, squeezing, holding and garbage disposal. This module not only improves the convenience and accuracy of feeding, but also ensures the hygiene and safety of the feeding environment.

[0088] In other embodiments, in the intelligent pet feeding system of the present invention, the dry food feeding module includes a dry food storage unit, a dry food dropping unit, and a dry food tray unit, which are specifically described as follows.

[0089] The dry food storage unit is used to store dry food to ensure that the dry food is dry, fresh and safe; and is equipped with a function of automatically reading the amount of dry food, which can monitor the amount of dry food in real time and transmit this information to the backend server. In this way, the user can know the remaining dry food at any time and replenish it in time.

[0090] The dry food dropping unit is used to deliver the dry food in the dry food storage unit to the dry food tray unit according to a preset amount or time interval. Specifically, the dry food can be delivered by motor drive, spiral delivery, gravity drop, etc., and the delivery of the dry food is ensured to be accurate and stable to avoid blockage or overflow.

[0091] The dry food tray unit is used to hold the dry food dropped from the dry food dropping unit for the cat to eat. It is usually designed with a material and structure that is easy to clean and disinfect to ensure hygiene and safety.

[0092] In specific implementation, the owner puts dry food into the dry food storage unit in advance. When the preset feeding time or condition is reached, the dry food storage unit opens for a period of time (this time can be adjusted as needed) to allow the dry food to fall into the dry food tray unit through the dry food drop unit. The cat can eat dry food from the dry food tray unit at any time until the dry food in the food tray is eaten up or the next feeding time is reached. During the whole process, the dry food storage unit will automatically record the consumption of dry food and pass the information to the background server so that the user can understand and adjust the feeding plan at any time.

[0093] In summary, the dry food feeding module realizes the automatic feeding of dry food by integrating multiple functional units such as storage, transportation and holding. This module not only improves the convenience and accuracy of feeding, but also ensures that cats can eat dry food on time and in the right amount to stay healthy. At the same time, with the support of the background server, users can understand the consumption of dry food at any time and adjust the feeding plan as needed.

[0094] It can be seen from the above embodiments that the system of the present invention has the following functions and effects:

[0095] (a) Automatic feeding: Automatically feed cats with cat food and dry food according to the feeding plan deduced by the AI ​​processor. Real-time monitoring of the remaining cat food and dry food in the feeder to ensure timely replenishment.

[0096] (b) Nutritional analysis: The backend server stores information on cat food and dry food formulas of different brands and performs nutritional analysis. Feeding recommendations are generated based on the analysis results and pushed to mobile terminals to help users feed their cats scientifically.

[0097] (c) Remote interaction: Supports remote voice and video calls with the feeder via mobile terminals, allowing users to keep track of the cat’s status at any time. According to the interaction plan deduced by the AI ​​processor, cat owners are assisted in remote training to enhance the emotional connection with their cats.

[0098] (d) Data synchronization and access: The backend server synchronizes the cat’s feeding records, device status and other information to the mobile terminal in real time. Users can access this information through the APP to understand the cat’s feeding situation and device status.

[0099] In summary, the smart pet feeding system realizes intelligent feeding services and interactive experience for pet cats by integrating background servers, mobile terminals and feeders. The system not only improves the convenience and accuracy of feeding, but also helps users better manage and care for pet cats through functions such as nutritional analysis and remote interaction.

[0100] Embodiment 2: The automatic feeding function of cat food and dry food in the intelligent pet feeding system of the present invention has a variety of triggering mechanisms. The AI ​​processor of the feeder can trigger intelligent feeding according to the feeding plan and the pet's behavior request, or the time and feeding amount can be set through the mobile terminal APP for scheduled feeding, or the mobile terminal APP can remotely control the feeder for direct feeding, which is specifically introduced as follows.

[0101] (a) If Figure 2 , Figure 3 As shown, the intelligent pet feeding method of the present invention uses the intelligent pet feeding system to perform intelligent feeding, including the following steps:

[0102] The cat's meowing clips are collected in real time through the microphone, and the voice recognition model is used to deduce and predict the cat's meowing, and the characteristics of the meowing, such as frequency, pitch, rhythm, etc., are analyzed to determine whether the cat is hungry; if the cat is judged to be not hungry, the system returns and continues to collect the cat's meowing clips through the microphone for monitoring; if the cat is judged to be hungry, the system sends a feeding command to the mobile terminal APP.

[0103] At the same time, the camera collects pictures of the cat's expressions in real time, uses the expression recognition model to deduce and predict the cat's expressions, and analyzes the cat's facial features, such as the shape and position of the eyes, mouth, and ears, as well as the overall demeanor, to determine whether the cat is hungry. If the cat is not hungry, the system returns and continues to collect pictures of the cat's expressions through the camera for monitoring. If the cat is hungry, the system also sends a feeding command to the mobile terminal APP.

[0104] Set in advance whether to execute the feeding instruction through the mobile terminal APP, or choose in real time whether to confirm the feeding instruction through the mobile terminal APP. After the mobile terminal APP receives the feeding command, it decides whether to execute the feeding instruction according to the rules set in advance by the user (such as scheduled feeding, feeding by amount, etc.) or the user's real-time selection. If the user chooses to execute feeding, the system starts the cat strip feeding module and / or dry food feeding module, and feeds according to the preset program. If the user chooses not to execute feeding, the system returns and continues to collect the cat's calls and expressions through the microphone and camera for monitoring.

[0105] During specific implementation, smart feeding will trigger the feeding model. The AI ​​processor will determine whether to feed automatically based on the feeding plan, amount of food fed, collected cat sounds, expressions, behaviors, etc. The cat owner can confirm in real time whether to feed automatically through the mobile terminal APP, or the cat owner may not confirm in real time, but set in advance whether to perform automatic feeding.

[0106] As can be seen from the above, the method of the present invention has the following functions and effects:

[0107] A. Dual recognition: Combining the two recognition methods of sound and expression improves the accuracy of judging the cat's hunger state.

[0108] B. User controllable: Through the mobile terminal APP, users can flexibly set feeding rules and confirm feeding commands in real time, which enhances the flexibility of the system and user experience.

[0109] C. Automatic feeding: Once feeding is confirmed, the system can automatically start the feeding module to realize intelligent and automatic feeding process.

[0110] Therefore, this smart pet feeding system can accurately judge the cat's hunger state through innovative intelligent feeding methods, and automatically feed according to the user's settings and selections, providing great convenience and comfort experience for pet owners.

[0111] (ii) Figure 4 As shown, the intelligent pet feeding method of the present invention uses the intelligent pet feeding system for direct feeding, including the following steps: the user sends a feeding command to the feeder through the mobile terminal APP, and after the feeder receives the command, it immediately starts the cat strip feeding module and / or the dry food feeding module for direct feeding.

[0112] In specific implementation, in direct feeding mode, there is no need for a feeding plan, and cat owners can remotely feed their cats at any time through the mobile terminal APP according to actual needs. No matter where the cat owner is, as long as he can connect to the Internet, he can remotely feed the cat through the mobile terminal APP. Once the safe value of the feeding plan is exceeded, the mobile terminal APP can pop up a reminder message, which will ask the cat owner whether to confirm to continue feeding to prevent overfeeding from causing health effects on the cat.

[0113] As can be seen from the above, this intelligent pet feeding method meets the needs of cat owners to feed their pets flexibly and conveniently by directly feeding. At the same time, by introducing a safety reminder mechanism, the safety and rationality of the feeding process are ensured. This method not only improves the intelligence level of pet feeding, but also brings a more comfortable and convenient pet-raising experience to pet owners.

[0114] (III) Figure 5As shown, the intelligent pet feeding method of the present invention uses the intelligent pet feeding system to perform timed feeding, including the following steps: the user sets the timed delivery parameters through the mobile terminal APP, including the feeding time schedule and whether to prompt the user to confirm the parameters when feeding; when the time value in the set feeding time schedule is met: if the parameter of whether to remind the user to confirm is set to no, the cat strip feeding module and / or the dry food feeding module are directly started to perform timed feeding; if the parameter of whether to remind the user to confirm is set to yes, a feeding reminder command is sent to the mobile terminal APP to ask the user whether to confirm the execution of feeding. After the user confirms, the cat strip feeding module and / or the dry food feeding module are started to perform timed feeding.

[0115] In specific implementation, the user sets the timed delivery parameters through the mobile APP and saves the parameters in the ROM memory of the AI ​​control board, including the feeding time schedule and whether to prompt the user to confirm the parameters when feeding. In addition, when the AI ​​controller software is started, the timer is started to monitor whether the time value in the set feeding time schedule is reached. Whether to remind the user to confirm the parameter can be set to no, then the feeder is driven directly, and whether to remind the user to confirm the parameter can be set to yes, then the feeder is driven after the user confirms.

[0116] As can be seen from the above, this intelligent pet feeding method provides pet owners with a more regular and automated feeding experience through timed feeding. At the same time, by introducing the feeding model reference suggestions and the mechanism of confirming the feeding command, the scientificity and rationality of the feeding process are ensured. This method not only improves the intelligence level of pet feeding, but also brings a more convenient and comfortable pet-raising life to pet owners.

[0117] In summary, the smart pet feeding system integrates the background server, mobile terminal and feeder to realize the intelligent management of pet feeding. The system collects cat data through the recognition module, uses the AI ​​processor to deduce and predict, forms a feeding plan and an interactive plan, and automatically feeds through the feeding module. At the same time, the system also provides a variety of feeding methods, including intelligent feeding, direct feeding and timed feeding, to meet the different needs of users. This system not only improves the convenience and accuracy of pet feeding, but also helps to improve the health and quality of life of pets.

[0118] The technical solutions provided by the embodiments of the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, the technical solutions recorded in the aforementioned embodiments can be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the idea and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent pet feeding system, characterized in that: It includes a backend server, a mobile terminal, and at least one feeder; each feeder is connected to the backend server and the mobile terminal respectively; the backend server is connected to the mobile terminal; The feeder is used to realize automatic feeding and interaction with cats; it includes a communication module, an AI processor, an identification module, an interaction module, a cat strip feeding module, and a dry food feeding module; and the communication module is respectively connected to a backend server, a mobile terminal, and an AI processor; the AI ​​processor is respectively connected to the identification module, the interaction module, the cat strip feeding module, and the dry food feeding module; The backend server is used to store the registration information of the cat, the videos and pictures collected by the recognition module, the remaining amount of cat strips and dry food in the feeder, and the device status information; store the formula information of cat strips and dry food of different brands on the market, perform nutritional analysis, and form feeding recommendations for different cats based on the analysis results, and push them to the mobile terminal; The mobile terminal is used to pre-install the APP of the system. The user interacts with the system through the pre-installed APP, including registering cat information, accessing files on the backend server, and controlling the feeder; and accessing the e-commerce platform and social platform through the APP; Make remote voice and video calls with the feeder through the backend server; The communication module is used for wireless data transmission between the backend server, the mobile terminal and the feeder; The recognition module is used to collect the cat's image, nose print, sound and behavior data, and transmit it to the AI ​​processor for analysis; The interaction module is used to conduct remote voice and video calls with the mobile terminal through the background server; The cat strip feeding module is used for storing, cutting, squeezing, placing and handling waste of cat strips, and feeding the cat according to the feeding instructions issued by the AI ​​processor; The dry food feeding module is used to store, open, and hold dry food, and feed the cat according to the feeding instructions issued by the AI ​​processor; The AI ​​processor is used to perform intelligent analysis on the cat's behavior and expression based on the video and audio data collected by the interactive module, deduce the cat's behavioral prediction and real-time mood, and facilitate the cat owner to achieve remote emotional interaction with the cat; and issue feeding instructions to the cat strip feeding module and the dry food feeding module according to the feeding plan.

2. The intelligent pet feeding system according to claim 1, characterized in that: The recognition module includes a proximity sensor, a microphone, and a camera, and the AI ​​processor is connected to the proximity sensor, the microphone, and the recognition camera respectively.

3. The intelligent pet feeding system according to claim 1, characterized in that: The interaction model includes a speaker, a light strip, a camera, and a microphone, and the AI ​​processor is connected to the speaker, the light strip, the camera, and the microphone respectively.

4. The intelligent pet feeding system according to claim 1, characterized in that: The cat strip feeding module includes a cat strip storage unit, a cat strip cutting unit, a cat strip squeezing unit, a cat strip holding unit, and a garbage bin; The cat strip storage unit is used to store unopened cat strips; monitor the stock of cat strips in real time and transmit it to the backend server; The cat strip cutting unit is used to cut off the seal of the packaging bag of the cat strip by scissors; The cat strip extrusion unit is used to squeeze the cat strips out of the packaging bag through a pushing device; The cat strips holding unit is used to hold the extruded cat strips; The garbage bin is used to collect the cut packaging bag seals and waste packaging bags.

5. The intelligent pet feeding system according to claim 1, characterized in that: The dry food feeding module includes a dry food storage unit, a dry food dropping unit, and a dry food tray unit; The dry food storage unit is used to store dry food; monitor the amount of dry food in real time and transmit it to the backend server; The dry food dropping unit is used to transport the dry food in the dry food storage unit to the dry food tray unit; The dry food tray unit is used to hold the dry food dropped from the dry food dropping unit.

6. A smart pet feeding method, characterized in that: Utilizing an intelligent pet feeding system as claimed in any one of claims 1 to 5, comprising an intelligent feeding method; The intelligent feeding method includes: collecting a cat's call segment through a microphone, and using a speech recognition model to deduce and predict the cat's call to determine whether the cat is in a hungry state. If not, the system returns and continues to collect the cat's call segment through the microphone for monitoring. If so, the system sends a feeding command to the mobile terminal APP; At the same time, the cat's facial expression pictures are collected through the camera, and the cat's facial expression is deduced and predicted based on the facial expression recognition model to determine whether the cat is hungry. If not, the system returns and continues to collect cat facial expression pictures through the camera for monitoring; if so, the system sends a feeding command to the mobile terminal APP; After the mobile terminal APP receives the feeding command, it decides whether to execute the feeding instruction based on the user's pre-set or real-time selection; if the user chooses to execute the feeding, the system starts the cat strip feeding module and / or the dry food feeding module; if the user chooses not to execute the feeding, the system returns and continues to collect the cat's calls and expressions through the microphone and camera for monitoring.

7. A smart pet feeding method, characterized in that: A smart pet feeding system according to any one of claims 1 to 5, characterized in that it includes a direct feeding method; The direct feeding method includes: a user sends a feeding command to a feeder through a mobile terminal APP, and after the feeder receives the command, it immediately starts a cat strip feeding module and / or a dry food feeding module to perform direct feeding.

8. A smart pet feeding method, characterized in that: A smart pet feeding system according to any one of claims 1 to 5, characterized in that it includes a timed feeding method; The timed feeding method includes: the user sets the timed delivery parameters through the mobile terminal APP, including the feeding time schedule and whether to prompt the user to confirm the parameters when feeding; When the time value in the set feeding time schedule is met: if the parameter of whether to remind the user to confirm is set to no, the cat strip feeding module and / or dry food feeding module are directly started to perform scheduled feeding; If the parameter of whether to remind the user to confirm is set to yes, a feeding reminder command is sent to the mobile APP to ask the user whether to confirm the execution of feeding. After the user confirms, the cat strip feeding module and / or dry food feeding module are started for scheduled feeding.

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