Control method and device of pet feeder and pet feeder

Abstract

The invention provides a control method and device of a pet feeder and the pet feeder, and relates to the technical field of intelligent control. The method comprises the steps that when it is detected that the distance between a target pet and a feeding tray is within a preset distance range, a plurality of pet images collected by a camera device are acquired; determining pet data of the target pet based on the pet image; based on the pet data, whether the target pet is a first abnormal state pet is judged, a fractional feeding strategy is configured for the first abnormal state pet, and the first abnormal state pet is used for indicating that the fat and thin degree of the target pet is lower than a lower limit value of a preset normal interval; the multi-time feeding strategy is used for indicating multi-time feeding for a specified first feeding amount in each specified first feeding time period; and cooperatively controlling a grain discharging mechanism according to the multi-time feeding strategy and / or the feeding monitoring result. The rationality and reliability of pet feeding are improved, and good health states of different pets are guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technologies, and in particular to a control method, device, and pet feeder for a pet feeder. Background Art

[0002] With the prevalence of the pet market, some families now keep multiple pets, and multiple pets share a single feeder. Taking pet cats as an example, there are differences in the body fat levels of pet cats. When fed together, it is easy for the fat cats to snatch food, resulting in an unbalanced food intake among the pets, that is, the thin cats cannot eat enough or the fat cats eat too much, thus causing health problems. Therefore, how to control the pet feeder to reduce the phenomenon of pets not eating enough or eating too much is an urgent problem to be solved at present. Summary of the Invention

[0003] To solve the above-mentioned problems of the prior art, the present invention provides a control method, device, and pet feeder for a pet feeder, which can reduce the phenomenon of pets not eating enough or eating too much, improve the rationality of pet feeding, and ensure the good health status of different pets.

[0004] In a first aspect, the present application provides a control method for a pet feeder, which is applicable to a pet feeder configured with a camera device and a food discharging mechanism, and the food discharging mechanism includes a feeding tray for loading food; the method includes: When it is detected that the distance between the target pet and the feeding tray is within a preset distance range, a plurality of pet images collected by the camera device are obtained; Based on the pet images, pet data of the target pet is determined, and the pet data includes weight data and a target month age; Based on the pet data, it is determined whether the target pet is a first abnormal state pet, and a fractional feeding strategy is configured for the first abnormal state pet, where the first abnormal state pet is used to indicate that the body fat level of the target pet is lower than the lower limit value of a preset normal range, and the fractional feeding strategy is used to indicate that a specified first feeding amount is fed in a fractional manner during each specified first feeding period; The food discharging mechanism is jointly controlled according to the fractional feeding strategy and / or the feeding monitoring result, and the feeding monitoring result is used to indicate the detection result of the pet images collected by the camera device during the feeding process of executing the fractional feeding strategy.

[0005] In a possible implementation manner, the determining the pet data of the target pet based on the pet images includes: Performing identity recognition on the pet images to obtain identity data of the target pet; Based on the identity data, match the corresponding target age in months in the information database, where the information database is configured with an age-in-months and weight mapping table and an identity mapping table of at least one target pet. The age-in-months and weight mapping table is used to indicate the correspondence between the age in months and the standard weight data, and the identity mapping table is used to indicate the correspondence between the identity of the target pet and the age in months; Based on the pet image, extract the contour data of the target pet, and perform three-dimensional reconstruction on the contour data to obtain a reconstructed image; Based on the reconstructed image, measure the external shape data of the target pet, and determine the weight data of the target pet according to the external shape data, the identity data, and the target age in months.

[0006] In a possible implementation manner, based on the pet data, determine whether the target pet is a first abnormally conditioned pet, and configure a fractional feeding strategy for the first abnormally conditioned pet, including: Based on the target age in months, match the corresponding standard weight data in the information database; When the weight data of the target pet does not reach the matched standard weight data, it is determined that the fatness level of the target pet is lower than the lower limit of the preset normal range, and the corresponding target pet is marked as a first abnormally conditioned pet; When the weight data of the target pet exceeds the matched standard weight data, it is determined that the fatness level of the target pet is higher than the upper limit of the preset normal range, and the corresponding target pet is marked as a second abnormally conditioned pet, and a regulated feeding strategy is configured for the second abnormally conditioned pet, where the regulated feeding strategy is used to indicate the second feeding period and the corresponding second feeding amount, and the total feeding amount in the regulated feeding strategy is less than the total feeding amount in the fractional feeding strategy.

[0007] In a possible implementation manner, the coordinated control of the grain discharging mechanism according to the fractional feeding strategy and / or the feeding monitoring result includes: During any one of the first feeding periods, when it is detected that the pet image contains the first abnormally conditioned pet, trigger the fractional feeding of the first feeding amount according to the fractional feeding strategy, and when it is not detected that the pet image contains the second abnormally conditioned pet during the current feeding process, continue the next feeding until the total feeding amount during the current first feeding period reaches the first feeding amount.

[0008] In a possible implementation manner, the coordinated control of the grain discharging mechanism according to the fractional feeding strategy and / or the feeding monitoring result further includes: If the second abnormal state pet is detected in the pet image during any feeding in the first feeding period, the divided feeding is stopped until only the first abnormal state pet is detected in the pet image.

[0009] In a possible implementation manner, the coordinated control of the grain discharging mechanism according to the divided feeding strategy and / or the feeding monitoring result further includes: Obtain the position data sent by the pet wearing device worn on the second abnormal state pet; When it is detected from the pet image that the first abnormal state pet is being fed and the position difference between the position data and the feeding tray is less than a preset difference threshold, an alarm signal is sent to the pet wearing device worn on the second abnormal state pet until the position difference is greater than the difference threshold.

[0010] In a possible implementation manner, the pet feeder is further configured with an audio device; the method further includes: When it is detected that the total feeding amount in the first feeding period reaches the first feeding amount, a play signal is sent to the audio device, so that the audio device plays a specified audio after responding to the play signal.

[0011] In a second aspect, the present application provides a control device for a pet feeder, which is applicable to a pet feeder configured with a camera device and a grain discharging mechanism, and the grain discharging mechanism includes a feeding tray for loading food; the device includes: An image acquisition module, configured to obtain a plurality of pet images collected by the camera device when it is detected that the distance between the target pet and the feeding tray is within a preset distance range; An image analysis module, configured to determine pet data of the target pet based on the pet image, where the pet data includes weight data and a target month age; A judgment module, configured to judge whether the target pet is a first abnormal state pet based on the pet data, and configure a divided feeding strategy for the first abnormal state pet, where the first abnormal state pet is used to indicate that the fatness level of the target pet is lower than the lower limit value of a preset normal range, and the divided feeding strategy is used to indicate that a specified first feeding amount is divided into several feedings during each specified first feeding period; A control module, configured to coordinately control the grain discharging mechanism according to the divided feeding strategy and / or the feeding monitoring result, where the feeding monitoring result is used to indicate the detection result of the pet images collected by the camera device during the feeding process of executing the divided feeding strategy.

[0012] In a third aspect, the present application provides a pet feeder, including: a camera device, a food dispensing mechanism, and a control unit. The food dispensing mechanism includes a feeding tray for loading food. The camera device and the food dispensing mechanism are both connected to the control unit, and the control unit executes the steps of the control method of the pet feeder according to the first aspect or any possible implementation manner of the first aspect.

[0013] In a possible implementation manner, the control unit is communicatively connected to a pet wearable device worn on the target pet.

[0014] The control method, device, and pet feeder provided by the present application collect multiple pet images of the target pet through the camera device, and then determine the weight data and target age of the target pet based on the pet images to determine whether the target pet is a pet in a first abnormal state, and configure a sub-feeding strategy for the pet in the first abnormal state. Thus, according to the sub-feeding strategy and / or the feeding monitoring result, the food dispensing mechanism is cooperatively controlled. In this way, by identifying the differences in the fatness and thinness of the target pet and configuring corresponding feeding strategies, the feeding amount of the feed can be effectively and accurately controlled. At the same time, by implementing sub-feeding for thin pets and cooperatively controlling the food dispensing mechanism in combination with the feeding monitoring result, the phenomenon that thin cats are not full or fat cats overeat can be reduced, the efficiency and reliability of feeding control are improved, the rationality of pet feeding is improved, and the good health status of different pets is ensured. Description of the Drawings

[0015] Figure 1 is a schematic flowchart of a control method of a pet feeder provided by an embodiment of the present application; Figure 2 is a schematic structural diagram of a control device of a pet feeder provided by an embodiment of the present application; Figure 3 is a schematic structural diagram of a pet feeder provided by an embodiment of the present application; Figure 4 is a schematic structural diagram of a pet feeder provided by an embodiment of the present application. Detailed Embodiments

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] See Figure 1The figure is a schematic flowchart of a control method for a pet feeder provided by an embodiment of the present application. The control method is applicable to a pet feeder configured with a camera device and a food delivery mechanism. The food delivery mechanism includes a feeding tray for loading food. The method includes steps S101 to S104.

[0018] S101. When it is detected that the distance between the target pet and the feeding tray is within a preset distance range, a plurality of pet images collected by the camera device are obtained.

[0019] In the present application, the pet feeder is configured with a camera device, which can be a rotatable camera for collecting pet images (including images of the target pet approaching the feeding tray and pet eating pictures, etc.). The camera device can be installed on the top, side or above the feeding tray of the pet feeder body to cover the area around the feeder.

[0020] The food delivery mechanism can be located below the internal grain storage bucket of the pet feeder, and the food is accurately delivered to the feeding tray through a mechanical structure (such as a rotating food delivery design, a plug control). In the present application, according to the feeding time period and feeding amount in the feeding strategy (such as the divided feeding strategy, the adjusted feeding strategy), the control of the food delivery mechanism to deliver food is realized. Therefore, in the present application, the pet eating behavior is monitored through the camera device, and the food delivery mechanism is controlled to ensure the implementation of the feeding strategy. The two jointly control pet feeding, improving the efficiency and reliability of feeding control.

[0021] S102. Based on the pet images, pet data of the target pet is determined. The pet data includes weight data and the target month age.

[0022] In the present application, information such as the month age and breed of the target pet is stored in advance, and the standard weight data corresponding to the month age is also stored. Then, through image recognition of the pet images, the identification of the target pet is realized, so as to match the corresponding month age, breed and other data. Among them, the identification can be through feature information such as pupils, pet facial features, palm prints, etc., or through device identification, RFID tags, QR code tags, etc. of pet wearable devices worn on the target pet. The present application does not make any limitations in this regard. At the same time, through image recognition of the pet images, the weight data of the pet is estimated.

[0023] It should be noted that Image Recognition refers to the process of using computer technology to understand, analyze and classify information such as targets, scenes, and features in images. It is a practical application of applying deep learning algorithms. Through specific algorithms and models, the content in the images is recognized, such as identifying people, animals, objects, texts, etc. in the images, and determining their categories, positions, postures and other related information.

[0024] S103. Based on the pet data, determine whether the target pet is a pet in the first abnormal state, and configure a fractional feeding strategy for the pet in the first abnormal state. The pet in the first abnormal state is used to indicate that the fatness level of the target pet is lower than the lower limit of the preset normal range, and the fractional feeding strategy is used to indicate that a specified first feeding amount is fed in batches during each specified first feeding period.

[0025] S104. Cooperatively control the grain discharging mechanism according to the fractional feeding strategy and / or the feeding monitoring result. The feeding monitoring result is used to indicate the detection result of the pet images collected by the camera device during the feeding process of implementing the fractional feeding strategy.

[0026] In this application, based on the weight data of the target pet and the standard weight data, determine the size relationship between the fatness level of the target pet and the preset normal range, so as to determine whether the target pet is a pet in the first abnormal state. Among them, the pet in the first abnormal state is a pet whose fatness level is lower than the lower limit of the preset normal range, that is, the pet in the first abnormal state represents a thin pet.

[0027] It should be noted that in the mixed feeding of overweight pets (i.e., pets in the second abnormal state) and underweight pets (i.e., pets in the first abnormal state), since the appetite and body size strength of overweight pets are greater than those of underweight pets, it is easy for overweight pets to grab food, resulting in unbalanced food intake among pets, that is, underweight pets cannot eat enough or overweight pets eat too much. In response to this, this application configures a fractional feeding strategy for pets in the first abnormal state (i.e., underweight pets). The fractional feeding strategy includes a specified first feeding period and the corresponding first feeding amount. The fractional feeding strategy indicates that the first feeding amount is fed in batches (i.e., fed in multiple batches) during each first feeding period, and in combination with the detection result of the pet images collected by the camera device during the feeding process of implementing the fractional feeding strategy (i.e., whether the pet image only contains a pet in the first abnormal state), cooperatively control the batch feeding of the first feeding amount, so as to control the grain discharging mechanism. In this way, based on the real-time feeding picture, control the subsequent feeding. The fractional feeding strategy can reduce the phenomenon that the food for underweight pets is snatched by overweight pets in large quantities, resulting in overweight pets overeating. At the same time, this application can avoid the situation that the remaining amount on the feeding plate is eaten by overweight pets after one-time feeding (i.e., feeding the first feeding amount at one time) when underweight pets do not finish eating, thereby reducing the phenomenon that pets do not eat enough or eat too much, improving the rationality of pet feeding, effectively avoiding the situation of overweight pets overeating, and ensuring the good health status of different pets.

[0028] The control method of the pet feeder provided in this embodiment collects multiple pet images of the target pet through a camera device, and then determines the weight data and target age of the target pet based on the pet images to determine whether the target pet is a pet in the first abnormal state, and configures a sub-feed strategy for the pet in the first abnormal state. Thus, according to the sub-feed strategy and / or the feeding monitoring result, the grain discharging mechanism is controlled collaboratively. In this way, by identifying the fatness and thinness differences of the target pet and configuring corresponding feeding strategies, the feeding amount of the feed can be effectively and accurately controlled. At the same time, by performing sub-feeding on the thinner pets and combining the feeding monitoring results to control the grain discharging mechanism collaboratively, the phenomenon that thin cats are not full or fat cats overeat can be reduced, the efficiency and reliability of the feeding control are improved, the rationality of pet feeding is improved, and the good health status of different pets is guaranteed.

[0029] In some embodiments, determining the pet data of the target pet based on the pet images includes: Performing identity recognition on the pet images to obtain the identity data of the target pet; Based on the identity data, matching the corresponding target age in the information database, where a monthly age-weight mapping table and at least one identity mapping table of the target pet are configured in the information database. The monthly age-weight mapping table is used to indicate the corresponding relationship between the monthly age and the standard weight data, and the identity mapping table is used to indicate the corresponding relationship between the identity of the target pet and the monthly age; Based on the pet images, extracting the contour data of the target pet and performing three-dimensional reconstruction on the contour data to obtain a reconstructed image; Based on the reconstructed image, measuring the external shape data of the target pet, and determining the weight data of the target pet according to the external shape data, the identity data, and the target age.

[0030] In this embodiment, the identity data includes information such as the monthly age and breed. Through identity recognition, the identity data of the pet is determined. Among them, the identity mapping table contains the corresponding relationship between the identity of the target pet and the monthly age, and the monthly age-weight mapping table is used to indicate the corresponding relationship between the monthly age and the standard weight data. Then, the breed, monthly age, and the standard weight data corresponding to the breed and monthly age of the pet are determined through the identity mapping table and the monthly age-weight mapping table. It should be noted that the corresponding monthly age is matched in the identity mapping table through identity recognition, and the target age is determined based on the input time of this monthly age and the current time in the identity mapping table, so as to realize real-time update of the target age, conform to the change trend of the pet weight with the monthly age and breed, and improve the accuracy of weight calculation.

[0031] Secondly, obtain multiple pet images, which can cover the body parts of the pet (such as the face, torso, limbs, hips, etc.), and extract the contour data of the pet based on the obtained pet images. Subsequently, use the extracted contour data for three-dimensional reconstruction, that is, map the contour of the pet to the three-dimensional voxel space. Using the reconstructed image after three-dimensional reconstruction, measure the external shape data of the pet, such as key dimensions like abdominal circumference, chest circumference (the widest part behind the front legs), back length (from the base of the neck to the base of the tail), shoulder height (from the highest point of the neck to the ground), etc. Thus, based on the external shape data, identity data (such as breed) and target month age of the pet, determine the weight data of the target pet.

[0032] Therefore, in this embodiment, the target month age of the target pet is determined through the information database, and the external shape data of the pet is estimated through the pet images. Thus, considering the external shape estimation, breed and target month age, the accuracy of pet weight estimation is improved, the accuracy of strategy selection is improved, and the reliability of feeding control is improved.

[0033] In some embodiments, based on the pet data, determining whether the target pet is a first abnormal state pet and configuring a divided feeding strategy for the first abnormal state pet includes: Based on the target month age, match the corresponding standard weight data in the information database; When the weight data of the target pet does not reach the matched standard weight data, it is determined that the fatness degree of the target pet is lower than the lower limit of the preset normal range, and the corresponding target pet is marked as a first abnormal state pet; When the weight data of the target pet exceeds the matched standard weight data, it is determined that the fatness degree of the target pet is higher than the upper limit of the preset normal range, and the corresponding target pet is marked as a second abnormal state pet, and a regulated feeding strategy is configured for the second abnormal state pet, where the regulated feeding strategy is used to indicate the second feeding period and the corresponding second feeding amount, and the total feeding amount in the regulated feeding strategy is less than the total feeding amount in the divided feeding strategy.

[0034] In this embodiment, the fatness degree of the target pet is judged through the weight data of the target pet and the standard weight data corresponding to the month age, so as to judge whether the target pet is a first abnormal state pet or a second abnormal state pet. Among them, the standard weight data can be the normal weight range related to the month age and breed. Specifically, when the weight data of the pet does not reach the standard weight data, it is considered that the fatness degree of the target pet is lower than the lower limit of the preset normal range, that is, the first abnormal state pet represents a thin pet. When the weight data of the pet exceeds the standard weight data, it is considered that the fatness degree of the target pet is higher than the upper limit of the preset normal range, and the corresponding target pet is marked as a second abnormal state pet, that is, the second abnormal state pet represents an overweight pet.

[0035] Furthermore, the present application determines the corresponding feeding strategy according to the fatness or thinness of the pet, and the feeding strategy includes a divided feeding strategy and an adjusted feeding strategy, and the feeding strategy is used to indicate the feeding period and the corresponding feeding amount. Optionally, the divided feeding strategy is mainly for thin pets, and the adjusted feeding strategy is mainly for fat pets. Then the total feeding amount of the divided feeding strategy will be greater than the total feeding amount of the adjusted feeding strategy, thereby increasing the feeding for thin pets and reducing the feeding for fat pets, ensuring that pets of different sizes can be fed reasonably, protecting the health of different pets, and improving the accuracy and efficiency of feeding control.

[0036] Specifically, this embodiment configures an adjusted feeding strategy for a pet in a second abnormal state (i.e., a slightly obese pet), and the adjusted feeding strategy includes a specified second feeding period and a corresponding second feeding amount. The adjusted feeding strategy can indicate that the second feeding amount should be fed in batches and / or all at once within each second feeding period, and this application does not limit this.

[0037] Therefore, this embodiment identifies the pet as a pet in the first abnormal state or a pet in the second abnormal state through the weight data and the standard weight data of the target pet, and configures the corresponding feeding strategy according to the body size difference of the pet. Then, a divided feeding strategy is configured for the pet in the first abnormal state, and an adjusted feeding strategy is configured for the pet in the second abnormal state, so as to ensure that the feeding amount for thin pets is increased while the feeding amount for fat pets is reduced, and the phenomenon of pets not being full or eating too much is reduced, thereby improving the rationality of pet feeding, effectively avoiding the situation of fat pets eating too much, and ensuring the good health of different pets.

[0038] In some embodiments, the coordinated control of the food dispensing mechanism according to the divided feeding strategy and / or the feeding monitoring result includes: During any of the first feeding periods, when it is detected that the pet image contains the pet in the first abnormal state, the first feeding amount is triggered to be fed in batches according to the divided feeding strategy, and when it is not detected that the pet image contains the pet in the second abnormal state during the current feeding process, the next feeding is continued until the total amount of feeding during this first feeding period reaches the first feeding amount.

[0039] In this embodiment, a pet image collected by a camera device is obtained in real time, and the pet image within the first feeding period is detected to achieve real-time feeding monitoring. Specifically, the sub-feeding strategy is used to indicate that the first feeding amount is sub-fed within the first feeding period. For example, if the first feeding amount is divided into multiple feeding portions, then the feed of this feeding portion is fed during multiple sub-periods within the first feeding period until the total feeding amount within the first feeding period reaches the first feeding amount. Subsequently, when the feeding monitoring result indicates that the first abnormal state pet (i.e., the underweight pet) first appears in the pet image within the first feeding period, it is considered that the first abnormal state pet approaches the feeding tray, and then, according to the sub-feeding strategy, the feed is fed for the first time, that is, the feed of the above-mentioned feeding portion is fed for the first time. Further, when it is recognized from the pet image that only the first abnormal state pet (i.e., the underweight pet) appears and the second abnormal state pet (i.e., the overweight pet) does not appear during the feeding process (i.e., the current feeding process), it is considered that the overweight pet does not exhibit food-grabbing behavior, and the underweight pet can continue to eat. Then, the next feeding is triggered, that is, the feed of the above-mentioned feeding portion is fed for the second time until the total feeding amount within the first feeding period reaches the first feeding amount.

[0040] Therefore, in this embodiment, by combining the feeding monitoring result and the sub-feeding strategy, the next feeding is triggered only when the feeding monitoring result detects that only the first abnormal state pet is eating, which ensures the feeding amount of the underweight pet, improves the rationality of pet feeding, and at the same time ensures the reliability and efficiency of feeding control.

[0041] In some embodiments, the coordinated control of the grain outlet mechanism according to the sub-feeding strategy and / or the feeding monitoring result further includes: When the second abnormal state pet is detected in the pet image during any feeding process within the first feeding period, the sub-feeding is stopped until it is detected that only the first abnormal state pet is included in the pet image.

[0042] In this embodiment, when it is recognized from the pet image that the second abnormal state pet (i.e., the overweight pet) appears during the feeding process of the first abnormal state pet (i.e., the current feeding process), it is considered that the overweight pet exhibits food-grabbing behavior. Then, the next feeding is stopped to avoid the situation where the second abnormal state pet grabs food and causes overeating until it is detected that only the first abnormal state pet (underweight pet) and no second abnormal state pet (overweight pet) are included in the pet image. At this time, the overweight pet leaves the feeding tray and the underweight pet approaches the feeding tray, then the next feeding is triggered, and so on until the feeding of the first feeding amount is completed.

[0043] It should be noted that if no first abnormal state pet and second abnormal state pet are detected in the pet image after any feeding during the first feeding period, it is considered that the underweight pet stops eating and the next feeding is stopped.

[0044] Therefore, in this embodiment, by combining the feeding monitoring result and the divided feeding strategy, when the second abnormal state pet is detected in the feeding monitoring result, the next feeding is stopped, and the next feeding is resumed only when only the first abnormal state pet is detected, avoiding the situation that overweight pets grab food and cause overeating, improving the rationality of pet feeding, and at the same time ensuring the reliability and efficiency of feeding control.

[0045] In some embodiments, the coordinated control of the grain discharging mechanism according to the divided feeding strategy and / or the feeding monitoring result further includes: Obtaining the position data sent by the pet wearable device worn on the second abnormal state pet; When it is detected from the pet image that the first abnormal state pet is being fed and the position difference between the position data and the feeding tray is less than a preset difference threshold, an alarm signal is sent to the pet wearable device worn on the second abnormal state pet until the position difference is greater than the difference threshold.

[0046] In this embodiment, the pet wearable device can be a collar, which can be a vibrating collar, and each target pet wears the pet wearable device. When it is detected that the first abnormal state pet is eating and the second abnormal state pet is relatively close to the feeding tray, it is considered that the second abnormal state pet may have a food-grabbing behavior, and then a corresponding alarm signal is generated and sent to the pet wearable device. After receiving the alarm signal, the pet wearable device gives an alarm reminder such as vibration, realizing the behavior alarm of the second abnormal state pet, driving the second abnormal state pet away from the feeding tray, reducing the interference to the eating of the first abnormal state pet, and increasing the food intake of the first abnormal state pet.

[0047] In addition, by configuring the pet wearable device to alarm the second abnormal state pet, the behavior training of the second abnormal state pet is realized, enabling the second abnormal state pet to develop a habit and improving the efficiency and reliability of feeding control.

[0048] Therefore, in this embodiment, by configuring the pet wearable device to alarm the second abnormal state pet, the eating of the first abnormal state pet is not disturbed, the efficiency and reliability of feeding control are improved, the phenomenon that thin cats are not full or fat cats overeat can be reduced, and the good health status of different pets is guaranteed.

[0049] In the present application, even if the pet wearing device fails to prevent the second abnormal state from the pet's food-grabbing behavior, it can still effectively avoid the situation where the second abnormal state pet overeats due to food-grabbing by implementing a fractional feeding strategy.

[0050] In some embodiments, the pet feeder is further configured with an audio device; the method further includes: When it is detected that the total feeding amount within the first feeding period reaches the first feeding amount, a playback signal is sent to the audio device, so that the audio device plays a specified audio after responding to the playback signal.

[0051] In this embodiment, the audio device can be configured on the pet feeder. After each first feeding period finishes feeding the first feeding amount, the audio device is triggered to play a specified audio, realizing the feeding training of the first abnormal state pet and improving the feeding efficiency and reliability.

[0052] See Figure 2 FIG. is a schematic structural diagram of a control device of a pet feeder provided by an embodiment of the present application. The control device 200 of the pet feeder is applicable to a pet feeder configured with a camera device and a food discharging mechanism, and the food discharging mechanism includes a feeding tray for loading food. The control device 200 of the pet feeder includes: An image acquisition module 201, configured to acquire a plurality of pet images collected by the camera device when it is detected that the distance between the target pet and the feeding tray is within a preset distance range; An image analysis module 202, configured to determine pet data of the target pet based on the pet images, where the pet data includes weight data and a target age in months; A judgment module 203, configured to judge whether the target pet is a first abnormal state pet based on the pet data, and configure a fractional feeding strategy for the first abnormal state pet, where the first abnormal state pet is used to indicate that the fatness degree of the target pet is lower than the lower limit value of a preset normal range, and the fractional feeding strategy is used to indicate that a specified first feeding amount is fed in fractions within each specified first feeding period; A control module 204, configured to cooperatively control the food discharging mechanism according to the fractional feeding strategy and / or the feeding monitoring result, where the feeding monitoring result is used to indicate the detection result of the pet images collected by the camera device during the feeding process of implementing the fractional feeding strategy.

[0053] In some embodiments, the image analysis module 202 includes: An identity recognition unit, configured to perform identity recognition on the pet images to obtain identity data of the target pet; A data matching unit, configured to match a corresponding target age in months in an information database based on the identity data, wherein a monthly age-weight mapping table and at least one identity mapping table of a target pet are configured in the information database, the monthly age-weight mapping table is used to indicate the corresponding relationship between the monthly age and the standard weight data, and the identity mapping table is used to indicate the corresponding relationship between the identity of the target pet and the monthly age; A reconstruction unit, configured to extract the contour data of the target pet based on the pet image, and perform three-dimensional reconstruction on the contour data to obtain a reconstructed image; A weight measurement unit, configured to measure the external shape data of the target pet based on the reconstructed image, and determine the weight data of the target pet according to the external shape data, the identity data and the target age in months.

[0054] In some embodiments, the judgment module 203 includes: A standard weight matching unit, configured to match corresponding standard weight data in the information database based on the target age in months; A first abnormal state pet identification unit, configured to determine that the fatness level of the target pet is lower than the lower limit of a preset normal range when the weight data of the target pet does not reach the matched standard weight data, and identify the corresponding target pet as a first abnormal state pet; A second abnormal state pet identification unit, configured to determine that the fatness level of the target pet is higher than the upper limit of the preset normal range when the weight data of the target pet exceeds the matched standard weight data, identify the corresponding target pet as a second abnormal state pet, and configure an adjusted feeding strategy for the second abnormal state pet, wherein the adjusted feeding strategy is used to indicate a second feeding time period and a corresponding second feeding amount, and the total feeding amount in the adjusted feeding strategy is less than the total feeding amount in the divided feeding strategy.

[0055] In some embodiments, the control module 204 includes: A first strategy execution unit, configured to, within any one of the first feeding time periods, when it is detected that the pet image includes the first abnormal state pet, trigger divided feeding of the first feeding amount according to the divided feeding strategy, and when it is not detected that the pet image includes the second abnormal state pet during the current feeding process, continue the next feeding until the total feeding amount within the current first feeding time period reaches the first feeding amount.

[0056] In some embodiments, the control module 204 further includes: A second policy execution unit, configured to stop the divided feeding when the pet image contains the second abnormal state pet during any feeding in the first feeding period, until it is detected that the pet image only contains the first abnormal state pet.

[0057] In a possible implementation, the control module 204 further includes: A position data acquisition unit, configured to acquire the position data sent by a pet wearable device worn on the second abnormal state pet; An alarm unit, configured to send an alarm signal to the pet wearable device worn on the second abnormal state pet when it is detected from the pet image that the first abnormal state pet is being fed and the position difference between the position data and the feeding tray is less than a preset difference threshold, until the position difference is greater than the difference threshold.

[0058] In a possible implementation, the pet feeder is further configured with an audio device; the device 200 further includes: An audio control unit, configured to send a playback signal to the audio device when it is detected that the total feeding amount in the first feeding period reaches the first feeding amount, so that the audio device plays a specified audio after responding to the playback signal.

[0059] The device of the embodiment of the present application can execute the method provided by the embodiment of the present application, and the implementation principle is similar. The actions performed by each module in the device of each embodiment of the present application correspond to the steps in the method of each embodiment of the present application. For the detailed function descriptions of the modules of the device, reference can be specifically made to the descriptions in the corresponding methods shown above, and details are not described herein again.

[0060] See Figure 3 FIG. 20 is a schematic structural diagram of a pet feeder provided by an embodiment of the present application. The present application provides a pet feeder 300, including: a camera device 301, a food delivery mechanism 302, and a control unit 303. The food delivery mechanism 302 includes a feeding tray for loading food. The camera device 301 and the food delivery mechanism 302 are both connected to the control unit 303, and the control unit 303 executes the steps of the control method of the above-mentioned pet feeder.

[0061] In a possible implementation, the control unit 303 is communicatively connected to a pet wearable device 400 worn on a target pet.

[0062] In the description of the embodiments of the present invention, the terms "first", "second", "third", and "fourth" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", "third", and "fourth" may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more.

[0063] In the description of the embodiments of the present invention, it should be noted that, unless otherwise clearly defined and limited, the terms "installed", "connected", "joined", and "assembled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0064] In the description of the embodiments of the present invention, specific features, structures, materials, or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0065] In the description of the embodiments of the present invention, it should be understood that "-" and "~" represent the range between two numerical values, and this range includes the endpoints. For example, "A - B" represents the range greater than or equal to A and less than or equal to B. "A ~ B" represents the range greater than or equal to A and less than or equal to B.

[0066] In the description of the embodiments of the present invention, the term "and / or" herein is merely a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " herein generally represents an "or" relationship between the associated objects before and after.

[0067] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A control method for a pet feeder, characterized in that, Applicable to a pet feeder configured with a camera device and a food discharging mechanism, the food discharging mechanism including a feeding tray for loading food; the method includes: When it is detected that the distance between the target pet and the feeding tray is within a preset distance range, a plurality of pet images collected by the camera device are acquired; Based on the pet images, pet data of the target pet is determined, the pet data including weight data and a target month age; Based on the pet data, it is determined whether the target pet is a first abnormal state pet, and a sub - feeding strategy is configured for the first abnormal state pet, wherein the first abnormal state pet is used to indicate that the fat - thin degree of the target pet is lower than the lower limit of a preset normal range, and the sub - feeding strategy is used to indicate that a specified first feeding amount is fed in portions during each specified first feeding period; According to the sub - feeding strategy and / or the feeding monitoring result, the food discharging mechanism is cooperatively controlled, and the feeding monitoring result is used to indicate the detection result of the pet images collected by the camera device during the feeding process of executing the sub - feeding strategy.

2. The control method of the pet feeder according to claim 1, wherein The determining the pet data of the target pet based on the pet images includes: Performing identity recognition on the pet images to obtain identity data of the target pet; Based on the identity data, a corresponding target month age is matched in an information database, wherein the information database is configured with a month - age weight mapping table and an identity mapping table of at least one target pet, the month - age weight mapping table is used to indicate the corresponding relationship between the month age and the standard weight data, and the identity mapping table is used to indicate the corresponding relationship between the identity of the target pet and the month age; Based on the pet images, contour data of the target pet is extracted, and three - dimensional reconstruction is performed on the contour data to obtain a reconstructed image; Based on the reconstructed image, the external shape data of the target pet is measured, and based on the external shape data, the identity data and the target month age, the weight data of the target pet is determined.

3. The control method of the pet feeder according to claim 2, wherein The determining whether the target pet is a first abnormal state pet based on the pet data and configuring a sub - feeding strategy for the first abnormal state pet includes: Based on the target month age, a corresponding standard weight data is matched in the information database; When the weight data of the target pet does not reach the matched standard weight data, it is determined that the fat - thin degree of the target pet is lower than the lower limit of the preset normal range, and the corresponding target pet is marked as a first abnormal state pet; When the weight data of the target pet exceeds the matched standard weight data, it is determined that the fat - thin degree of the target pet is higher than the upper limit of the preset normal range, and the corresponding target pet is marked as a second abnormal state pet, and an adjusted feeding strategy is configured for the second abnormal state pet, wherein the adjusted feeding strategy is used to indicate a second feeding period and a corresponding second feeding amount, and the total feeding amount in the adjusted feeding strategy is less than the total feeding amount in the sub - feeding strategy.

4. The control method of the pet feeder according to claim 3, characterized in that, The cooperatively controlling the food discharging mechanism according to the sub - feeding strategy and / or the feeding monitoring result includes: During any one of the first feeding periods, when it is detected that the pet image contains the first abnormally - state pet, triggering the divided feeding of the first feeding amount according to the divided - feeding strategy, and when it is not detected that the pet image contains the second abnormally - state pet during the current feeding process, continuing the next feeding until the total feeding amount during the current first feeding period reaches the first feeding amount.

5. The control method of the pet feeder according to claim 4, characterized in that, The collaborative control of the food - discharging mechanism according to the divided - feeding strategy and / or the feeding monitoring result further includes: During any feeding process within the first feeding period, when it is detected that the pet image contains the second abnormally - state pet, stopping the divided feeding until it is detected that the pet image only contains the first abnormally - state pet.

6. The control method of the pet feeder according to claim 5, wherein, The collaborative control of the food - discharging mechanism according to the divided - feeding strategy and / or the feeding monitoring result further includes: Obtaining the position data sent by the pet - wearing device worn on the second abnormally - state pet; When it is detected from the pet image that the first abnormally - state pet is being fed and the position difference between the position data and the feeding tray is less than a preset difference threshold, sending an alarm signal to the pet - wearing device worn on the second abnormally - state pet until the position difference is greater than the difference threshold.

7. The control method of the pet feeder according to claim 6, characterized in that, The pet feeder is further equipped with an audio device; the method further includes: When it is detected that the total feeding amount during the first feeding period reaches the first feeding amount, sending a play signal to the audio device, so that the audio device plays a specified audio after responding to the play signal.

8. A control device for a pet feeder, characterized in that, Applicable to a pet feeder configured with a camera device and a food - discharging mechanism, the food - discharging mechanism includes a feeding tray for loading food; the device includes: An image - acquisition module, configured to obtain a plurality of pet images collected by the camera device when it is detected that the distance between the target pet and the feeding tray is within a preset distance range; An image - analysis module, configured to determine pet data of the target pet based on the pet image, where the pet data includes weight data and the target month age; A judgment module, configured to judge whether the target pet is a first abnormally - state pet based on the pet data, and configure a divided - feeding strategy for the first abnormally - state pet, where the first abnormally - state pet is used to indicate that the fat - thin degree of the target pet is lower than the lower limit of a preset normal range, and the divided - feeding strategy is used to indicate the divided feeding of a specified first feeding amount within each specified first feeding period; A control module, configured to collaboratively control the food - discharging mechanism according to the divided - feeding strategy and / or the feeding monitoring result, where the feeding monitoring result is used to indicate the detection result of the pet images collected by the camera device during the feeding process of executing the divided - feeding strategy.

9. A pet feeder, characterized in that, Including: A camera device, a food - discharging mechanism, and a control unit. The food - discharging mechanism includes a feeding tray for loading food. The camera device and the food - discharging mechanism are both connected to the control unit, and the control unit executes the steps of the control method of the pet feeder according to any one of claims 1 - 7.

10. The pet feeder according to claim 9, characterized in that, The control unit is communicatively connected to a pet wearable device worn on a target pet.

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