A comprehensive pet health tracking method

Abstract

This invention relates to the computer field and provides a comprehensive pet health tracking method. The method includes: when a pet exhibits a stress response, detecting the pet's activity information within its living area over a prior time period, the activity information including dynamic transition information of abnormal factors and static transition information of foreign object contact; extracting a first abnormal feature from the dynamic transition information of the abnormal factors, the first abnormal feature being used to characterize whether the pet exhibits an abnormal activity transition response under the influence of abnormal environmental factors, the abnormal activity transition response including a change from an active state to an abnormal reaction state; and identifying a second abnormal feature from the static transition information of foreign object contact, the second abnormal feature being used to characterize whether the pet exhibits an abnormal transition response from rest under the influence of abnormal target contact factors. The beneficial effect of this invention is that it provides reliable and effective coping and prevention references for pet stress.

Description

Technical Field

[0001] This invention belongs to the field of computer science, and in particular relates to a comprehensive method for tracking pet health. Background Technology

[0002] Symptoms and behaviors of pets after being frightened: First, frightened pets may become more timid. Second, frightened pets may have reduced adaptability to the outside world; they may become more introverted and prefer to stay in what they consider safe places, such as their pet bed or under the bed, and any changes in the outside world may frighten them again. Third, frightened pets may also exhibit physical reactions. Some pets may experience a decrease in appetite after being stimulated, becoming unable to eat or drink, and in severe cases, they may vomit or have diarrhea. These are clearly stress responses in pets, which are the process by which the pet's body adapts to various internal and external stimuli.

[0003] In the existing technology, there are few mature solutions for tracking the health of pets in the above situations. When pets exhibit the above conditions, analysis is generally performed based on human recollection. However, it should be noted that pets may experience stimulation without the owner's presence. Therefore, the existing technology has significant limitations and is prone to misinterpretation. Summary of the Invention

[0004] The purpose of this invention is to provide a comprehensive pet health tracking method, aiming to solve the problems mentioned in the background art.

[0005] This invention is implemented as follows: a comprehensive pet health tracking method, the method comprising the following steps:

[0006] When a stress response is detected in a pet, the activity information of the pet in the living area during the preceding time period is detected. The activity information includes dynamic change information of abnormal factors and static change information of contact with foreign objects.

[0007] Extract the first abnormal feature of the abnormal factor dynamic transformation information. The first abnormal feature is used to characterize whether the pet exhibits an abnormal activity transformation response under the influence of abnormal environmental factors. The abnormal activity transformation response includes a change from an active state to an abnormal reaction state.

[0008] The second abnormal feature is used to identify the foreign object contact static transition information. The second abnormal feature is used to characterize whether the pet exhibits a resting abnormal transition response under the influence of an abnormal target contact factor. The resting abnormal transition response includes a change from an inactive state to an abnormal response state.

[0009] When at least one of the first and second abnormal features meets the corresponding abnormal feature condition, a stress tracing reminder message is generated based on the corresponding abnormal feature, and a reminder is given based on the stress tracing reminder message.

[0010] As a further aspect of the present invention, the method further includes:

[0011] Obtain the pet's dietary metabolism and activity level information within the preceding time period;

[0012] Calculate the pet's health activity index based on dietary and metabolic information and activity level information within a set time period;

[0013] Determine the pet's health activity index and set the value of the health activity index, wherein the set health activity index is determined based on at least one of the pet's dietary metabolism information and activity level information under normal conditions;

[0014] When a pet's health activity index falls below a set threshold, it is determined that the pet may be experiencing a stress response.

[0015] As a further embodiment of the present invention, the method further includes:

[0016] Based on the pet's activity level within its living area, distinguish between active and inactive sub-areas within the living area.

[0017] As a further aspect of the present invention, the method further includes:

[0018] Acquire first image information related to the pet's living area, the first image information covering a portion of the activity sub-area;

[0019] Based on the pet's first action feature information, extract the first sub-image information from the first image information, where the first action feature information includes the pet's jumping and turning back feature information;

[0020] Detect whether there are foreign object fragments in the first sub-image information that correspond to the jump and reversal feature information;

[0021] If so, then based on the foreign object fragment, extract the first foreign object fragment containing the jumping and turning feature information, and generate the first foreign object image information;

[0022] Extract the specific location and time of the first foreign object image information, and generate the first stress tracing reminder information based on the first foreign object image information, specific location and time.

[0023] As a further aspect of the present invention, the method further includes:

[0024] Acquire second image information related to the pet's living area, the second image information covering inactive sub-regions;

[0025] Based on the pet's second action feature information, extract the second sub-image information of the second image information, whereby the second action feature information includes the pet's standing and jumping feature information;

[0026] Detect whether there are foreign object fragments in the second sub-image information that correspond to the jumping feature information;

[0027] If so, then based on the foreign object fragment, extract a second foreign object fragment containing the characteristics of getting up and jumping, and generate second foreign object image information;

[0028] Extract the specific location and time of the second foreign object image information. Based on the second foreign object image information, the specific location and time, generate a second emergency source tracing reminder message. The reminder priority of the second emergency source tracing reminder message is higher than that of the first emergency source tracing reminder message.

[0029] As a further aspect of the present invention, the method further includes:

[0030] Under certain conditions, the speed of a pet in the image information is identified. The image information includes at least one of first image information and second image information. The certain conditions include not extracting the first sub-image information and the second image information.

[0031] When the travel speed exceeds the set speed, the direction in which the pet enters the living area from the non-living area is identified, based on the pet's average travel speed.

[0032] Based on the aforementioned direction, several sound information samples from the transition area between the living and non-living areas are acquired, and it is determined whether any sound information includes acoustic characteristic information of a pet under abnormal reactions.

[0033] If so, at least one sub-region of the intersection area is located based on the corresponding sound information.

[0034] As a further aspect of the present invention, the method further includes:

[0035] The relevant equipment is instructed to operate on the sub-region to obtain image information of the sub-region.

[0036] After acquiring the image information of the sub-region, the method further includes:

[0037] Based on the image information of the sub-region, it is determined whether the active target in the image information meets the set conditions. The set conditions include: the number of times the active target appears reaches a threshold number, or the active target meets the corresponding set target.

[0038] If so, an early warning message is reported, which indicates that the sub-region contains the corresponding active target.

[0039] This invention provides a comprehensive pet health tracking method. When a pet exhibits a stress response, the method detects the pet's activity information within its living area over a preceding time period. It extracts a first abnormal feature from the abnormal factor's dynamic transformation information, characterized by whether the pet exhibits an abnormal activity transformation response under the influence of abnormal environmental factors, including a change from an active state to an abnormal reaction state. It also identifies a second abnormal feature from the foreign object contact static transformation information, characterized by whether the pet exhibits a resting abnormal transformation response under the influence of abnormal target contact factors, including a change from an inactive state to an abnormal reaction state. When at least one of the first and second abnormal features meets a corresponding abnormal feature condition, a stress tracing reminder is generated based on the corresponding abnormal feature. This stress tracing reminder allows for categorization and tracing based on active and inactive states, providing reliable and effective coping and prevention references for pet stress. Attached Figure Description

[0040] Figure 1 This is the main flowchart of a comprehensive pet health tracking method.

[0041] Figure 2 This is a flowchart for a comprehensive pet health tracking method to determine if a pet may be experiencing stress.

[0042] Figure 3 This is a flowchart for generating the first stress tracing reminder information in a comprehensive pet health tracking method.

[0043] Figure 4 This is a flowchart for generating a second stress tracing reminder message in a comprehensive pet health tracking method.

[0044] Figure 5 This is a flowchart illustrating the location of a sub-region based on the sound information in a comprehensive pet health tracking method.

[0045] Figure 6 This is a flowchart for reporting early warning information in a comprehensive pet health tracking method. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0047] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0048] The present invention provides a comprehensive pet health tracking method, which solves the technical problems in the background art.

[0049] like Figure 1 The diagram shown is a main flowchart of a comprehensive pet health tracking method according to an embodiment of the present invention. The comprehensive pet health tracking method includes:

[0050] Step S10: When a stress response is detected in the pet, the activity information of the pet in the living area within the preceding time period is detected. The activity information includes dynamic change information of abnormal factors and static change information of foreign object contact. The preceding time period refers to the time period during which the pet is preliminarily judged to be likely to experience abnormal stress, i.e., one time period prior to the present. Dynamic change information of abnormal factors refers to the change in the pet's active state to an abnormal state caused by abnormal factors, such as being startled while walking, causing it to jump and back. Abnormal factors generally include environmental factors or factors caused by the action of the activity target. The activity target can be other animals or people. Static change information of foreign object contact refers to the change in the pet's inactive state to an abnormal state caused by a foreign object, such as the pet being severely disturbed while resting. Foreign objects mainly refer to snakes, rats, etc., that disturb or directly harm the pet.

[0051] Step S11: Extract the first abnormal feature of the abnormal factor dynamic transformation information. The first abnormal feature is used to characterize whether the pet exhibits an abnormal activity transformation response under the influence of abnormal environmental factors. The abnormal activity transformation response includes a change from an active state to an abnormal reaction state.

[0052] Step S12: Identify the second abnormal feature of the foreign object contact static transition information. The second abnormal feature is used to characterize whether the pet exhibits an abnormal transition response from resting to reacting under the influence of abnormal target contact factors. The abnormal transition response from resting to reacting is an abnormal transition response from an inactive state to an abnormal reaction state. Since the stress level caused by abnormalities such as fright when the pet is resting is generally higher than the stress level when the pet is active, steps S11 and S12 are implemented separately to facilitate subsequent classification and tracing. The abnormal target here includes active or inactive targets, and contact can include direct or indirect contact.

[0053] Step S13: When at least one of the first abnormal feature and the second abnormal feature satisfies the corresponding abnormal feature condition, generate stress tracing reminder information based on the corresponding abnormal feature, and issue a reminder based on the stress tracing reminder information.

[0054] In this embodiment, when a pet exhibits a stress response, the system detects the pet's activity information within its living area over a preceding time period. It extracts a first abnormal feature from the abnormal factor's dynamic transformation information, characterizing whether the pet exhibits an abnormal activity transformation response under the influence of abnormal environmental factors, including a change from an active state to an abnormal reaction state. It also identifies a second abnormal feature from the foreign object contact static transformation information, characterizing whether the pet exhibits a resting abnormal transformation response under the influence of abnormal target contact factors, including a change from an inactive state to an abnormal reaction state. When at least one of the first and second abnormal features meets the corresponding abnormal feature condition, a stress tracing reminder is generated based on the corresponding abnormal feature. This reminder allows for categorization and tracing based on active and inactive states, providing reliable and effective coping and prevention references for pet stress, thus avoiding blindness and limitations to a certain extent.

[0055] like Figure 2 As shown, in a preferred embodiment of the present invention, the method further includes:

[0056] Step S20: Obtain the pet's dietary metabolism information and activity level information during the preceding time period; the dietary metabolism information here includes the pet's food consumption information, and may also include water consumption information, and further, may also include excretion information; the activity level information generally includes the number of times the pet gets up and the remaining time excluding sleep time.

[0057] Step S21: Calculate the pet's health activity index based on dietary metabolism and activity information within a set time period. For example, a cat's food consumption (as a percentage of normal consumption) score is 80, water consumption (as a percentage of normal consumption) score is 70, excretion score is -10 (abnormal excretion), and activity score is 60. The health activity index is the sum of all scores: 200. If it is lower than the set health activity index score of 250 (the full score is 400, with each item accounting for 100, and different items can have their own segmented score percentages, for example, food consumption is divided into three segments: 50-70g / day, score 80-100; 30-50g / day, score 60-80; 10-30g / day, score 40-60; 0-10g / day, score 0-40), the health activity index is 200.

[0058] Step S22: Determine the pet's health activity index and set the value of the health activity index, wherein the set health activity index is determined based on at least one of the pet's dietary metabolism information and activity level information under normal conditions;

[0059] Step S23: When the pet's health activity index is lower than the set health activity index, it is determined that the pet may be experiencing a stress response. Obviously, the determination of stress response here is made under the premise of excluding general disease factors; however, from another perspective, stress response can also lead to disease; therefore, general disease is non-stress response disease.

[0060] Understandably, obtaining the pet's dietary and metabolic information and activity level information within a pre-set time period, and calculating the pet's health activity index based on the dietary and metabolic information and activity level information within a set time period, can help determine whether a stress response is likely to occur.

[0061] In a preferred embodiment of the present invention, the method further includes:

[0062] Step S30: Based on the pet's activity level within the living area, distinguish between active and inactive sub-areas within the living area. Activity level is generally measured by the pet's walking density and rest duration. Active sub-areas are those included within the living area, excluding inactive sub-areas. Furthermore, active sub-areas can be further defined by limiting walking density; obviously, the higher the walking density, the more accurately it represents an active sub-area.

[0063] like Figure 3 As shown, in a preferred embodiment of the present invention, the method further includes:

[0064] Step S40: Obtain first image information related to the pet's living range, the first image information covering a portion of the activity sub-area; the portion of the activity sub-area is generally the main activity area;

[0065] Step S41: Based on the pet's first action feature information, extract the first sub-image information from the first image information, where the first action feature information includes the pet's jumping and turning back feature information;

[0066] Step S42: Detect whether there is a foreign object fragment in the first sub-image information that corresponds to the jump and return feature information;

[0067] Step S43: If so, then based on the foreign object fragment, extract the first foreign object fragment containing the jumping and turning feature information, and generate the first foreign object image information;

[0068] Step S44: Extract the specific location and time of the first foreign object image information, and generate the first stress tracing reminder information based on the first foreign object image information, specific location and time.

[0069] It should be understood that the activity sub-area is generally the area where the pet moves around. In most cases, the pet is in a semi-free-range or fully free-range state. Jumping and turning back indicates that the pet may change from a walking state to a jumping state to one side or jumping back. These situations may occur when the pet is under abnormal circumstances. For specific details regarding the location and time, please refer to the next example.

[0070] like Figure 4 As shown, in a preferred embodiment of the present invention, the method further includes:

[0071] Step S50: Obtain second image information related to the pet's living area. The second image information covers inactive sub-areas. Inactive sub-areas generally include common resting areas for pets, such as pet beds and other resting areas. Resting includes sleeping, sitting, crouching, etc.

[0072] Step S51: Based on the pet's second action feature information, extract the second sub-image information of the second image information. The second action feature information includes the pet's standing and jumping feature information; a sudden change from resting to standing and jumping is very likely due to an abnormality such as being frightened.

[0073] Step S52: Detect whether there is a foreign object fragment in the second sub-image information that corresponds to the standing and jumping feature information; the foreign object fragment that corresponds to the standing and jumping feature information includes direct contact with the pet or indirect contact at a certain distance; the foreign object may be other animals, people, etc.

[0074] Step S53: If so, then based on the foreign object fragment, extract the second foreign object fragment containing the feature information of getting up and jumping, and generate the second foreign object image information; the second foreign object fragment includes the foreign object image that is in the same frame as the feature action of getting up and jumping;

[0075] Step S54: Extract the specific location and time of the second foreign object image information. Based on the second foreign object image information, specific location, and time, generate a second emergency source tracing reminder message. The reminder priority of the second emergency source tracing reminder message is higher than that of the first emergency source tracing reminder message. The specific location is generally selected from the rest area, and the time can correspond to the timestamp of the image, such as the exposure time.

[0076] In this embodiment, considering that pets are generally more easily startled when resting than when not resting, the second emergency tracing reminder has a higher priority than the first stress tracing reminder. Specifically, this can be reflected in extended reminder time, increased vibration intensity of the reminder terminal, etc., without limitation, to facilitate targeted measures to reduce or prevent foreign objects from entering these sub-areas, determine the specific cause of the stress response, and provide targeted comfort to the pet according to the activity goals.

[0077] like Figure 5 As shown, in a preferred embodiment of the present invention, the method further includes:

[0078] Step S60: Under certain conditions, identify the walking speed of the pet in the image information, wherein the image information includes at least one of first image information and second image information, and the certain conditions include not extracting the first sub-image information and the second image information;

[0079] Step S61: When the walking speed exceeds the set speed, the direction of the pet entering the living area from the non-living area is identified, based on the fact that the set speed is determined according to the pet's average walking speed; if the pet's speed increases, it is very likely that it has been frightened, chased or other abnormal situation.

[0080] Step S62: Based on the direction, acquire several sound information from the area where the living area and the non-living area meet, and determine whether any sound information includes the acoustic feature information of a pet under abnormal reaction. Further, to determine if the pet is experiencing an abnormal scenario such as being frightened or chased away, combine the direction from the non-living area to the living area to identify sound information corresponding to at least one direction. A specific method, for example, involves setting multiple recording devices in several sub-areas of the meeting area, so the direction will point to a certain sub-area, thereby acquiring the sound information corresponding to that sub-area. Then, by combining whether the sound information includes the acoustic feature information of a pet under abnormal reaction, it can be further determined whether the sub-area corresponding to the abnormal reaction is real. When a pet is frightened or chased away, it is highly likely to emit a frightening sound, or in other words, identify the sound emitted by someone or other animals chasing away, including sounds made by animals; or sounds of movement, such as firecrackers.

[0081] Step S63: If so, locate at least one sub-region of the intersection area based on the corresponding sound information.

[0082] It is understandable that this embodiment provides a method for responding to situations where stress tracing is not possible, or a method for supplementing stress tracing. In the first and second image information, the images may not effectively cover all living areas because pets may roam freely or be active. In these situations, pets may leave the main living area and appear in non-living areas. This embodiment uses several sound information for auxiliary judgment. When there is sound information that includes the acoustic characteristics of the pet under abnormal reaction, that is, the sound information made by the pet after being frightened, it should be noted that this is not a blind judgment of sound information, but a combination of sound information with the set situation and the speed of movement. This enables the effective determination of the sub-area where the cause of the pet's abnormality is located when the images cannot effectively cover all living areas.

[0083] In a preferred embodiment of the present invention, the method further includes:

[0084] Step S70: Instruct relevant devices to operate on the sub-region to acquire image information of the sub-region. Relevant devices include camera equipment, smart terminals, etc.; instructing relevant devices to operate on the sub-region includes adjusting the recognition direction of the relevant devices or activating new relevant devices.

[0085] Under normal conditions, the relevant equipment is mainly used in the living area, as this is the main area where pets are active or sleep and rest, which can also effectively save related costs. Only after a sub-area is identified is the relevant equipment instructed to act on the sub-area to obtain the image information of the sub-area, and to capture abnormal information in the sub-area, etc., providing a basis for the implementation of the method in the next embodiment.

[0086] like Figure 6 As shown, in a preferred embodiment of the present invention, after acquiring the image information of the sub-region, the method further includes:

[0087] Step S80: Based on the image information of the sub-region, determine whether the active target in the image information meets the set conditions. The set conditions include: the number of times the active target appears reaches a threshold number, or the active target meets the corresponding set target. When the number of times the active target appears reaches the threshold number, it becomes a new active target that meets the set conditions.

[0088] Step S81: If yes, then report the warning information, which is used to indicate that the sub-region contains the corresponding active target.

[0089] It should be understood that this embodiment is a further extension based on the previous embodiment. The image information of the sub-area may contain active targets that meet the conditions, such as foreign pets, rats, snakes, etc., which may appear in the sub-area. These may cause pets to be startled and have difficulty in being detected, resulting in stress reactions. It should also be noted that the sub-area is the junction between living and non-living areas, that is, it is in the range that is difficult for relevant equipment or owners to detect under normal settings. Therefore, according to the corresponding active targets, warning information is reported, which can provide warnings based on the active targets in the sub-area, reduce or prevent pets from entering these sub-areas, and determine the specific cause of the stress reaction, and soothe the pet in a targeted manner according to the active targets.

[0090] The above embodiments of the present invention provide a comprehensive pet health tracking method. When a pet exhibits a stress response, the method detects the pet's activity information within its living area over a prior time period. It extracts a first abnormal feature from the abnormal factor dynamic transformation information, which characterizes whether the pet exhibits an abnormal activity transformation response under the influence of abnormal environmental factors, including a change from an active state to an abnormal reaction state. It also identifies a second abnormal feature from the foreign object contact static transformation information, which characterizes whether the pet exhibits a resting abnormal transformation response under the influence of abnormal target contact factors, including a change from an inactive state to an abnormal reaction state. When at least one of the first and second abnormal features meets the corresponding abnormal feature condition, a stress tracing reminder is generated based on the corresponding abnormal feature. This stress tracing reminder allows for categorization and tracing based on active and inactive states, providing reliable and effective coping and prevention references for pet stress.

[0091] In order for the above methods and systems to operate smoothly, the system may include more or fewer components than those described above, or combine certain components, or different components, in addition to the various modules mentioned above. For example, it may include input / output devices, network access devices, buses, processors, and memory.

[0092] The processor referred to can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the system, connecting various parts through various interfaces and lines.

[0093] The aforementioned memory can be used to store computer and system programs and / or modules. The aforementioned processor implements the various functions mentioned above by running or executing the computer programs and / or modules stored in the memory, and by calling the data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as information collection template display function, product information publishing function, etc.). The data storage area may store data created based on the use of the berth status display system (such as product information collection templates corresponding to different product types, product information that different product providers need to publish, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0094] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0095] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0096] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0097] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A comprehensive pet health tracking method, characterized in that, The method includes: When a stress response is detected in a pet, the activity information of the pet in the living area during the preceding time period is detected. The activity information includes dynamic change information of abnormal factors and static change information of contact with foreign objects. Extract the first abnormal feature of the abnormal factor dynamic transformation information. The first abnormal feature is used to characterize whether the pet exhibits an abnormal activity transformation response under the influence of abnormal environmental factors. The abnormal activity transformation response includes a change from an active state to an abnormal reaction state. The second abnormal feature is used to identify the foreign object contact static transition information. The second abnormal feature is used to characterize whether the pet exhibits a resting abnormal transition response under the influence of an abnormal target contact factor. The resting abnormal transition response includes a change from an inactive state to an abnormal response state. When at least one of the first and second abnormal features meets the corresponding abnormal feature condition, stress tracing reminder information is generated based on the corresponding abnormal feature, and a reminder is given based on the stress tracing reminder information. Based on the pet's activity level within its living area, distinguish between active and inactive sub-areas within the living area; Acquire first image information related to the pet's living area, the first image information covering a portion of the activity sub-area; extract first sub-image information from the first image information based on the pet's first action feature information, the first action feature information including the pet's jumping and turning feature information; detect whether there is a foreign object fragment in the first image information corresponding to the jumping and turning feature information; if so, based on the foreign object fragment, extract the first foreign object fragment containing the jumping and turning feature information to generate first foreign object image information; extract the specific location and time of the first foreign object image information, and generate first stress tracing reminder information based on the first foreign object image information, the specific location and time; Acquire second image information related to the pet's living area, the second image information covering inactive sub-regions; extract second sub-image information from the second image information based on the pet's second action feature information, the second action feature information including the pet's standing and jumping feature information; detect whether there is a foreign object fragment in the second sub-image information corresponding to the standing and jumping feature information; if so, extract a second foreign object fragment containing the standing and jumping feature information based on the foreign object fragment, and generate second foreign object image information; extract the specific location and time of the second foreign object image information, and generate a second stress tracing reminder information based on the second foreign object image information, the specific location and time, the reminder priority of the second stress tracing reminder information is higher than that of the first stress tracing reminder information.

2. The comprehensive pet health tracking method according to claim 1, characterized in that, The method further includes: Obtain information on the pet's dietary metabolism and activity levels during the preceding time period; Calculate the pet's health activity index based on dietary and metabolic information and activity level information within a set time period; Determine the pet's health activity index and set the value of the health activity index, wherein the set health activity index is determined based on at least one of the pet's dietary metabolism information and activity level information under normal conditions; When a pet's health activity index falls below the set health activity index, it is determined that the pet may be experiencing a stress response.

3. The comprehensive pet health tracking method according to claim 2, characterized in that, The method further includes: Under certain conditions, the speed of a pet in the image information is identified. The image information includes at least one of first image information and second image information. The certain conditions include not extracting the first sub-image information and the second image information. When the travel speed exceeds the set speed, the direction in which the pet enters the living area from the non-living area is identified, based on the pet's average travel speed. Based on the aforementioned direction, acquire several sound information from the area where living and non-living areas meet, and determine whether any sound information includes acoustic feature information of a pet under abnormal reactions. If so, at least one sub-region of the intersection area is located based on the corresponding sound information.

4. The comprehensive pet health tracking method according to claim 3, characterized in that, The method further includes: The relevant equipment is instructed to operate on the sub-region to obtain image information of the sub-region.

5. The comprehensive pet health tracking method according to claim 4, characterized in that, After acquiring the image information of the sub-region, the method further includes: Based on the image information of the sub-region, it is determined whether the active target in the image information meets the set conditions. The set conditions include: the number of times the active target appears reaches a threshold number, or the active target meets the corresponding set target. If so, an early warning message is reported, which indicates that the sub-region contains the corresponding active target.

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