Protection method and device of smart furniture, smart furniture and storage medium
Smart furniture uses cameras to recognize and chase away pets that scratch, solving the problem of pets damaging furniture, protecting the furniture and ensuring the safety of both pets and owners.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGGUAN DERUCCI BEDDING CO LTD
- Filing Date
- 2022-08-19
- Publication Date
- 2026-05-12
AI Technical Summary
Common pets such as cats and dogs often scratch smart furniture, causing damage to the furniture, resulting in property loss and potentially harming the pets and their owners.
Smart furniture monitors furniture images through camera devices, recognizes pet scratching actions, and repels pets through vibration devices and/or sound playback devices, including preset repels audio signals and vibration operations.
It effectively reduces damage to smart furniture by pets, protects the furniture and prevents harm to pets and owners, and provides health tips and image verification mechanisms.
Smart Images
Figure CN115273151B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of smart furniture technology, specifically to protective methods, devices, smart furniture, and storage media for smart furniture. Background Technology
[0002] As living standards improve, more and more people are choosing to keep pets. However, in practice, it has been found that common household pets, such as cats and dogs, frequently scratch and damage furniture like smart mattresses and sofas. Over time, this not only causes unnecessary financial loss for owners but may also lead to pet abandonment, harming both the pet and the owner. Summary of the Invention
[0003] This application discloses a method, device, smart furniture, and storage medium for protecting smart furniture, which can reduce the problem of smart furniture being scratched by pets.
[0004] This application discloses a protection method for smart furniture, applied to smart furniture, wherein the smart furniture is communicatively connected to a camera device, and the field of view of the camera device includes the smart furniture; the smart furniture further includes a vibration device and / or a sound playback device; the method includes:
[0005] Acquire furniture images of the smart furniture captured by the camera device;
[0006] The furniture image is identified to determine whether there is a scratching action of an animal scratching the smart furniture in the furniture image;
[0007] If the scratching action is detected in the furniture image, the vibration device is controlled to vibrate and / or the sound playback device is controlled to play a preset expulsion audio signal.
[0008] In one embodiment, the smart furniture includes the vibration device and the sound playback device; the furniture image includes: a first furniture image and a second furniture image; the first furniture image is captured by the camera device before the sound playback device plays the repulsion audio signal, and the second furniture image is captured by the camera device after the sound playback device plays the repulsion audio signal;
[0009] And, if the scratching action is detected in the furniture image, controlling the vibration device to vibrate and controlling the sound playback device to play a preset expulsion audio signal includes:
[0010] If the scratching action is detected in the first furniture image, the sound playback device is controlled to play a preset expulsion audio signal within a preset duration.
[0011] If the scratching action is also detected in the second furniture image, the vibration device is controlled to vibrate.
[0012] In one embodiment, controlling the vibration device to vibrate if the scratching action is also detected in the second furniture image includes:
[0013] If the scratching action is also present in the identified second furniture image, the second furniture image is sent to the mobile terminal bound to the smart furniture, so that the mobile terminal outputs the furniture image and detects the confirmation operation input by the user of the mobile terminal based on the second furniture image;
[0014] Receive a confirmation command sent by the mobile terminal; the confirmation command is sent by the mobile terminal after detecting the confirmation operation;
[0015] In response to the confirmation command, the vibration device is controlled to vibrate.
[0016] In one embodiment, after recognizing the scratching action in the furniture image, the method further includes:
[0017] Scan the pet electronic chips around the smart furniture and identify the pet's identity information from the scanned pet electronic chips;
[0018] Count the cumulative number of scratches corresponding to the pet's identity information;
[0019] When the cumulative number of scratches exceeds a threshold, a health alert is generated, and the pet's identity information and the health alert are sent to a mobile terminal bound to the smart furniture.
[0020] In one embodiment, at least two of the pet electronic chips are scanned; and the identification of pet identity information from the scanned pet electronic chips includes:
[0021] Detect the received signal strength of each of the at least two pet electronic chips that have been scanned;
[0022] The pet's identity information is identified from the pet's electronic chip, which receives the strongest signal.
[0023] This application discloses a protective device for smart furniture, applied to smart furniture. The protective device is communicatively connected to a camera device, the camera device's field of view including the smart furniture; the smart furniture also includes a vibration device and / or a sound playback device; the protective device includes:
[0024] The acquisition module is used to acquire furniture images of the smart furniture captured by the camera device;
[0025] The recognition module is used to recognize the furniture image and identify whether there is a scratching action of an animal scratching the smart furniture in the furniture image;
[0026] The control module is used to control the vibration device to vibrate and / or control the sound playback device to play a preset expulsion audio signal after the recognition module identifies the scratching action in the furniture image.
[0027] In one embodiment, the smart furniture includes the vibration device and the sound playback device; the furniture image includes: a first furniture image and a second furniture image; the first furniture image is captured by the camera device before the sound playback device plays the repulsion audio signal, and the second furniture image is captured by the camera device after the sound playback device plays the repulsion audio signal;
[0028] The control module is also used to control the sound playback device to play a preset expulsion audio signal within a preset duration after the recognition module recognizes the scratching action in the first furniture image.
[0029] The control module is also used to control the vibration device to vibrate after the recognition module identifies that the scratching motion also exists in the second furniture image.
[0030] In one embodiment, the apparatus further includes:
[0031] The sending module is used to send the second furniture image to a mobile terminal bound to the smart furniture after the scratching action is also detected in the second furniture image by the recognition module, so that the mobile terminal outputs the furniture image and detects the confirmation operation input by the user of the mobile terminal based on the second furniture image;
[0032] A receiving module is configured to receive a confirmation instruction sent by the mobile terminal; the confirmation instruction is sent by the mobile terminal after detecting the confirmation operation.
[0033] The control module is also configured to control the vibration device to vibrate in response to the confirmation command.
[0034] This application discloses a smart furniture, including a memory and a processor. The memory stores a computer program, and when the computer program is executed by the processor, the processor implements the steps of any of the smart furniture protection methods disclosed in this application.
[0035] This application discloses a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of any of the smart furniture protection methods disclosed in this application.
[0036] Compared with related technologies, the embodiments of this application have the following beneficial effects:
[0037] Smart furniture can monitor whether pets are scratching the furniture by acquiring images captured by cameras and using visual recognition. When it detects that a pet is scratching the furniture, it can drive the pet away from the vicinity of the smart furniture by vibrating and / or playing a repulsive audio signal to prevent damage. In other words, smart furniture can proactively monitor a pet's scratching behavior and actively drive away the animal, helping to reduce potential losses for the owner. Attached Figure Description
[0038] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0039] Figure 1 This is a schematic diagram illustrating an application scenario of a smart furniture protection method disclosed in one embodiment;
[0040] Figure 2 This is a schematic diagram of a method flow for protecting smart furniture, as disclosed in one embodiment.
[0041] Figure 3 This is a schematic diagram of a method flow for protecting smart furniture, as disclosed in one embodiment.
[0042] Figure 4 This is a schematic diagram of a method flow for protecting smart furniture, as disclosed in one embodiment.
[0043] Figure 5 This is a schematic diagram of the structure of a protective method device for smart furniture disclosed in one embodiment;
[0044] Figure 6 This is a structural schematic diagram of a smart furniture disclosed in one embodiment. Detailed Implementation
[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0046] It should be noted that the terms "comprising" and "having," and any variations thereof, in the embodiments and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.
[0047] This application discloses a method, device, smart furniture, and storage medium for protecting smart furniture, which can reduce the problem of smart furniture being scratched by pets. Detailed descriptions follow.
[0048] Please see Figure 1 , Figure 1 This is a schematic diagram illustrating an application scenario of a smart furniture protection method disclosed in one embodiment. For example... Figure 1 As shown, the smart furniture 10 can communicate with the camera device 20. Communication connections may include Bluetooth, Wi-Fi, etc., and are not specifically limited to any particular type.
[0049] like Figure 1 As shown, smart furniture 10 can be intelligent furniture such as sofas or smart mattresses that have built-in computing modules such as Electronic Control Unit (ECU), Micro Controller Unit (MCU), and Central Processing Unit (CPU).
[0050] The camera device 20 may include a visible light camera, an infrared camera, a fisheye camera, etc., and is not specifically limited thereto. The field of view of the camera device 20 may include the smart furniture 10, and the camera aperture of the camera device 20 may be set towards the smart furniture 10, so that the camera device 20 can capture images of the furniture including the smart furniture 10.
[0051] In this embodiment, the smart furniture 10 may further include a vibration device and / or a sound playback device.
[0052] Vibration devices may include motors, electric motors, and other devices capable of performing vibration operations.
[0053] A sound playback device may include components or modules such as audio codecs, power amplifier modules, and speakers for playing audio signals.
[0054] Please see Figure 2 , Figure 2 This is a schematic flowchart illustrating a protective method for smart furniture disclosed in one embodiment. This method can be applied to any type of smart furniture disclosed in the foregoing embodiments and can be executed by computing modules such as the Electronic Control Unit (ECU) and Microprocessor Unit (MCU) of the smart furniture. Figure 2 As shown, the method may include the following steps:
[0055] 210. Acquire furniture images of smart furniture captured by a camera device.
[0056] In this embodiment of the application, the smart furniture can receive furniture images sent by the camera device based on a communication connection with the camera device. The camera device can take furniture images of the smart furniture at a certain period, such as taking one image per second, taking 10 images per second, etc., and there is no specific limitation.
[0057] 220. Recognize the furniture image to identify whether there is a scratching action of an animal scratching the smart furniture in the furniture image; if yes, proceed to step 230; if no, continue to step 210.
[0058] In this embodiment, after acquiring a furniture image, the smart furniture can preprocess the image. Preprocessing operations may include, but are not limited to: identifying whether an animal exists in the furniture image; and identifying whether the animal in the furniture image matches a pet. If an animal exists in the furniture image and matches a pet, the step of identifying whether an animal in the furniture image is scratching the smart furniture can continue. Otherwise, if no animal exists in the furniture image, or if an animal exists but does not match a pet, the smart furniture can return to step 210. Preprocessing reduces unnecessary image recognition steps and speeds up the response time.
[0059] In this embodiment, the smart furniture can pre-acquire images of animals scratching the furniture and extract reference action features from these images. After acquiring the furniture image, the smart furniture can extract action features to be identified and compare them with the reference action features. If the reference action features match, it is determined that an animal scratching action exists in the furniture image. If the reference action features do not match, it is determined that no animal scratching action exists in the furniture image. Alternatively,
[0060] Smart furniture can also store a pre-trained neural network model, which is trained using several sample images and their corresponding image labels. These sample images include multiple positive sample images, each showing an animal scratching the furniture; the image label for each positive sample image indicates the presence of this scratching action. The sample images also include multiple negative sample images, each not showing any scratching action. These negative sample images may not include any animal scratching action, or they may include an animal lying on the furniture; the image label for each negative sample image indicates the absence of this scratching action. After training with these sample images and their corresponding image labels, the neural network model stored in the smart furniture can accurately identify animal scratching actions in images.
[0061] 230. Control the vibration of the vibration device and / or control the sound playback device to play a preset expulsion audio signal.
[0062] In some embodiments, if the smart furniture includes a vibration device, the vibration device can be controlled to vibrate after a scratching motion is detected in the furniture image.
[0063] In some embodiments, if the smart furniture includes a sound playback device, it can play a preset repulsion audio signal after recognizing a scratching action in the furniture image. The repulsion audio signal can be a preset buzzer, alarm, or a user-defined voice signal; there is no specific limitation.
[0064] In some embodiments, if the smart furniture includes a vibration device and a sound playback device, after recognizing a scratching action in the furniture image, the vibration device can be controlled to vibrate simultaneously, and the sound playback device can be controlled to play a preset repulsion audio signal; alternatively, the vibration device can be controlled to vibrate for a first duration, and after the vibration ends, the sound playback device can be controlled to play the preset repulsion audio signal; alternatively, the sound playback device can be controlled to play the preset repulsion audio signal for a second duration, and after the playback ends, the vibration device can be controlled to vibrate. The first duration and the second duration can be the same or different, and are not specifically limited.
[0065] As can be seen from the foregoing embodiments, smart furniture can acquire images of the furniture captured by a camera device and monitor whether a pet is scratching the furniture based on visual recognition. When it detects that a pet is scratching the furniture, it can drive the pet away from the vicinity of the smart furniture by vibration and / or playing a repulsive audio signal to prevent damage. In other words, smart furniture can proactively monitor a pet's scratching actions and actively drive away the scratching animal, thus helping to reduce potential losses for the owner.
[0066] In one embodiment, smart furniture may include a smart mattress, which may include a sound playback device and a vibration device. After determining, in step 220 above, that there is a scratching action of an animal scratching the smart furniture in the furniture image, and before performing step 230 above, the smart mattress may also perform the following steps:
[0067] The smart mattress detects whether someone is on the bed and, upon detection, whether the person is asleep. Specifically, the smart mattress can perform human recognition on the furniture image acquired in step 210 to detect the presence of someone on the mattress. Furthermore, the smart mattress can be equipped with vital sign sensors such as heart rate sensors and respiration sensors to monitor human vital signs. The mattress can acquire and analyze the vital sign data collected by these sensors to determine whether the person has entered or exited a sleep state.
[0068] After detecting that a person on the bed is asleep, the implementation of step 230 by the smart mattress may include:
[0069] The smart mattress adjusts the playback frequency of the repulsion audio signal to a frequency outside the range of human hearing. This frequency can be higher than the upper limit of human hearing or lower than the lower limit; there are no specific limitations. After adjusting the frequency of the repulsion audio signal, the smart mattress can play the adjusted signal independently through the sound playback device, keeping the vibration device silent.
[0070] In other words, even though a smart mattress includes vibration and sound playback devices, it can further detect whether the user is lying in bed asleep after detecting scratching. If the user is asleep, to avoid disturbing them, the smart mattress can keep the vibration devices silent and play a repulsive audio signal that is inaudible to the human ear to scare away the pet. This reduces the risk of damage to the smart mattress from scratching without affecting the user's sleep quality. Furthermore, if the user is asleep, a pet's scratching of the smart mattress can damage it and easily wake the user. Therefore, playing a repulsive audio signal that is inaudible to the human ear helps to protect the user's sleep quality and prevent them from being woken up.
[0071] Please see Figure 3 , Figure 3 This is a schematic flowchart illustrating a method for protecting smart furniture according to one embodiment. This method can be applied to any of the smart furniture disclosed in the foregoing embodiments. Figure 3 As shown, the method may include the following steps:
[0072] 310. Acquire the first furniture image of the smart furniture captured by the camera device.
[0073] In this embodiment of the application, the first furniture image is a furniture image captured by the camera device before step 330 is performed below.
[0074] 320. Recognize the first furniture image to identify whether there is a scratching action of an animal scratching the smart furniture in the first furniture image; if yes, proceed to step 330; if no, continue to step 310.
[0075] 330. Control the sound playback device to play a preset expulsion audio signal within a preset duration.
[0076] In step 330, the preset duration can be pre-set or user-defined, and there is no specific limitation.
[0077] 340. Acquire a second image of the smart furniture captured by the camera device.
[0078] In this embodiment of the application, the second furniture image is a furniture image captured by the camera device after step 330 is executed.
[0079] 350. Recognize the second furniture image to determine whether there is also an animal scratching the smart furniture in the second furniture image; if yes, proceed to step 360; if no, end this process.
[0080] In steps 320 and 350 above, the implementation method for the smart furniture to recognize the first furniture image and the second furniture image can be found in the aforementioned embodiments, and is not specifically limited thereto.
[0081] 360. Control the vibration of the vibration device.
[0082] In this embodiment, after the smart furniture identifies scratching motions from an animal based on a first furniture image, it can first play a repulsion audio signal using a sound playback device to drive the animal away from the smart furniture. After the audio playback ends, the smart furniture can acquire a second furniture image and identify whether scratching motions are present in the second image to determine if the audio is effective. If it is determined that the audio is ineffective in driving the animal away, a vibration device is then controlled to vibrate, driving the animal away through vibration. In other words, the smart furniture can drive away the animal first through sound and then through vibration. Some domestic pets, such as cats, are sensitive to external stimuli, and sudden stimuli can easily cause stress reactions, potentially affecting their health. Therefore, in this embodiment, the smart furniture can first drive away the animal through sound. Compared to vibration, sound is ubiquitous in the environment and causes less stimulation to animals. By using vibration to drive away the animal only after sound has proven ineffective, the smart furniture can reduce the stimulation to the animal.
[0083] In one embodiment, after the smart furniture determines, in step 350 above, that there is also a scratching action of an animal scratching the smart furniture in the second furniture image, it can also send the second furniture image to a mobile terminal bound to the smart furniture.
[0084] The mobile terminal can output a second image of the smart furniture for the user to view. After viewing the second image, the user can determine whether the animal is still scratching the smart furniture. If so, the user can input a confirmation action on the mobile terminal. Upon detecting the confirmation action, the mobile terminal can send a confirmation command to the smart furniture, which can then respond by controlling its vibration device to vibrate.
[0085] In other words, before smart furniture uses vibration to scare away animals, it can first send a second image of the furniture to a mobile device for manual confirmation. Generally, animals scratch furniture when the owner is not in the room where the furniture is located or when the owner is not home. Therefore, sending a second image of the furniture via mobile device can effectively inform the owner that the animal has scratched the smart furniture. Furthermore, this secondary manual confirmation improves the accuracy of determining whether an animal has scratched the smart furniture based on the second image, preventing the smart furniture from mistakenly triggering vibrations and causing unnecessary stimulation to the pet.
[0086] Please see Figure 4 , Figure 4 This is a schematic flowchart illustrating a method for protecting smart furniture according to one embodiment. This method can be applied to any of the smart furniture disclosed in the foregoing embodiments. Figure 4 As shown, the method may include the following steps:
[0087] 410. Acquire furniture images of smart furniture captured by a camera device.
[0088] 420. Recognize the furniture image to identify whether there is a scratching action of an animal scratching the smart furniture in the furniture image; if yes, proceed to steps 430 and 440; if no, continue to step 410.
[0089] 430. Control the vibration of the vibration device and / or control the sound playback device to play a preset expulsion audio signal.
[0090] In this application embodiment, the implementation of steps 410-430 can be referred to the foregoing embodiment, and will not be repeated below.
[0091] 440. Scan the pet electronic chip around the smart furniture and identify the pet's identity information from the scanned pet electronic chip.
[0092] In this embodiment, the pet electronic chip can be an electronic chip embedded in the animal's body or an electronic chip placed in the collar worn by the animal; the specific method is not limited. The pet electronic chip can emit signals, such as Bluetooth signals, RFID signals, etc.; the specific method is not limited. Smart furniture can scan the signals emitted by the pet electronic chip to scan the pet electronic chip. Each pet electronic chip can carry device information in the signal it emits. The smart furniture can parse the device information from the scanned signal and search for the pet's identity information corresponding to the device information in the database, thereby identifying the pet's identity information from the scanned pet electronic chip.
[0093] In this application embodiment, smart furniture may scan one or more pet electronic chips, without limitation on the specific ones.
[0094] Optionally, when smart furniture scans two or more pet microchips, it can further detect the Received Signal Strength Indicator (RSSI) of each of the at least two scanned microchips and identify the pet's identity information from the microchip with the strongest RSSI. Generally, when multiple pets are kept, the likelihood of different pets being in the same place at the same time is low due to their different habits. The distance between an animal scratching the smart furniture and the smart furniture is relatively smaller than the distance between an animal not scratching the smart furniture and the smart furniture; the closer the distance, the stronger the RSSI received by the smart furniture. Therefore, when smart furniture scans two or more pet microchips, the microchip with the strongest RSSI can be identified as the most likely microchip carried by the animal scratching the smart furniture, which is beneficial for accurately identifying the pet scratching the smart furniture when there are two or more pets in the home.
[0095] 450. Count the cumulative number of scratches corresponding to the pet's identity information.
[0096] In this embodiment of the application, the smart furniture can record one or more pet identity information, as well as the cumulative number of scratches corresponding to each pet identity information. For example, after the smart furniture determines that an animal is scratching the furniture by performing the aforementioned step 430 and identifies the pet identity information by performing the aforementioned step 440, it can increment the cumulative number of scratches corresponding to that pet identity information by one.
[0097] The cumulative number of scratches can be the cumulative number of scratches within a certain period of time, such as a week, a day, 3 hours, etc., without any specific limitation.
[0098] 460. Determine whether the cumulative number of scratches exceeds the threshold; if yes, proceed to step 470; otherwise, end this process.
[0099] 470. Generate health alert information and send the pet's identity information and the health alert information to the mobile terminal bound to the smart furniture.
[0100] Smart furniture can generate health alerts when it detects that the cumulative number of scratches exceeds a threshold. A high number of scratches may indicate a health problem with the pet's paws, such as overgrown or deformed nails. Therefore, smart furniture can send the health alert and the identified pet's identity information to a mobile device linked to it. The mobile device can then display the health alert and pet identification information, allowing the owner to monitor their pet's health in a timely manner.
[0101] As can be seen from the foregoing embodiments, smart furniture can monitor whether pets are scratching the furniture by acquiring images of the furniture captured by a camera device and using visual recognition. When it detects that a pet is scratching the furniture, it can drive the pet away from the vicinity of the smart furniture by vibration and / or playing a repulsion audio signal to prevent damage. Furthermore, when it detects that a pet is scratching the furniture, the smart furniture can also identify the pet's identity information by scanning its electronic chip. If the cumulative number of scratches corresponding to this pet's identity information exceeds a certain threshold, it can send the pet's identity information and health alerts to a mobile terminal linked to the smart furniture, allowing the owner to promptly monitor the pet's health.
[0102] In some embodiments, smart furniture can also be pre-set with an electronic fence. The electronic fence encloses an area including the smart furniture. The enclosed area can be centered on the smart furniture, or it can be one of the boundaries of the enclosed area. For example, if the smart furniture is a sofa placed against a wall, the enclosed area has the sofa as one of its boundaries, and the enclosed area can include a range of 0.5 meters in front of the sofa.
[0103] Before performing the aforementioned step 410, the smart furniture can scan the signals emitted by the pet's electronic chip in the vicinity and determine the distance between the smart furniture and the pet carrying the electronic chip based on the strength value of the RSSI of the scanned signal; or, it can determine the distance between the smart furniture and the pet based on the transmission of wireless signals such as the transmission duration and phase difference between the wireless signals and the pet's electronic chip, for example, based on Bluetooth ranging or Ultra Wide Band (UWB) methods.
[0104] After determining the distance between itself and the pet, the smart furniture can determine whether the pet has entered the electronic fence. If so, the smart furniture can send a shooting command to the camera device, which can then capture an image of the furniture. After sending the shooting command, the smart furniture can continue to execute the aforementioned step 410.
[0105] In other words, smart furniture can determine the distance between a pet and the furniture using wireless ranging methods. Only after detecting that the pet has entered the electronic fence based on the distance will the camera be triggered to capture an image of the furniture. On one hand, this reduces the number of furniture images captured, decreasing the computational load on the smart furniture and balancing the need for scratch monitoring when the smart furniture's computing power is insufficient. On the other hand, it also reduces the risk of privacy breaches from photographing smart furniture, especially when the smart furniture is a smart mattress or similar piece of furniture; the electronic fence setting can significantly reduce this risk.
[0106] As an additional option, once the smart furniture determines that a pet has entered the electronic fence based on distance, it can also control the sound playback device to play a repulsion audio signal to prevent the pet from approaching the smart furniture, thus better preventing the pet from scratching.
[0107] Furthermore, smart furniture can also communicate with smart pet feeders. After the smart furniture detects that a pet has entered the electronic fence or that the pet is scratching the smart furniture, it can send a pseudo-feeding command to the smart feeder.
[0108] A smart pet feeder may include modules such as a food storage container, a feeding dish, a controller, an audio playback device, and a communication chip. The food storage container can be a volumetric space used to store pet food. A movable baffle may be installed between the food storage container and the feeding dish, and the controller can control the raising and lowering of the baffle. When the baffle is raised, the food stored in the food storage container can fall from the food storage container into the feeding dish; when the baffle is lowered, the food storage container and the feeding dish are separated, and the food cannot fall into the feeding dish.
[0109] The smart feeder may also include a data storage device that can be connected to a controller. The data storage device may store audio data of food falling from the food storage device onto the feeding tray. The smart feeder may include a microphone, and the audio signal corresponding to the food falling audio data can be captured by the microphone. Alternatively, the audio signal can be captured by a mobile terminal such as a smartphone, which can convert the audio signal into audio data and send it to the smart feeder's data storage device for storage.
[0110] The communication module of the smart feeder can be used to establish a communication connection with smart furniture and receive pseudo-feeding commands sent by the smart furniture. After receiving a pseudo-feeding command, the communication module can send the pseudo-feeding command to the controller. The controller can respond to the pseudo-feeding command by retrieving the audio data of food falling from the data storage and playing the corresponding audio signal through the audio playback device.
[0111] In other words, smart furniture can send a false feeding command to the smart feeder after detecting that a pet has entered the electronic fence or is scratching the smart furniture. The smart feeder responds to the false feeding command by playing a food-dropping audio signal to attract the pet away from the vicinity of the smart furniture. Furthermore, the smart furniture triggers the smart feeder to play the food-dropping audio signal, rather than directly dispensing food. This attracts the pet's attention while avoiding creating a positive feedback loop for the pet. Otherwise, if the smart feeder directly dispenses food, the pet might develop a positive feedback loop, mistakenly believing that scratching the smart furniture will get food, leading to more frequent scratching. In this embodiment, playing the food-dropping audio signal instead of directly dispensing food reduces the likelihood of positive feedback loops because the pet does not actually obtain food through scratching the smart furniture. Simultaneously, the smart feeder produces a sound similar to the food-dropping audio signal during routine food dispensing, attracting the pet to the smart feeding dish upon hearing a similar sound. Therefore, the method of attracting the pet away from the smart furniture by playing the food-dropping audio signal is highly effective and unlikely to fail after a few uses.
[0112] Please see Figure 5 , Figure 5 This is a schematic diagram of a protective method device for smart furniture disclosed in one embodiment. This device can be applied to any of the aforementioned smart furniture. Figure 5 As shown, the protective device 500 of smart furniture may include: an acquisition module 510, an identification module 520, and a control module 530.
[0113] The acquisition module 510 is used to acquire furniture images of the smart furniture captured by the camera device;
[0114] The recognition module 520 is used to recognize the furniture image and identify whether there is a scratching action of an animal scratching the smart furniture in the furniture image;
[0115] The control module 530 is used to control the vibration device to vibrate and / or control the sound playback device to play a preset expulsion audio signal after the recognition module 520 recognizes the scratching action in the furniture image.
[0116] In one embodiment, the smart furniture includes the vibration device and the sound playback device; the furniture image includes: a first furniture image and a second furniture image; the first furniture image is captured by the camera device before the sound playback device plays the repulsion audio signal, and the second furniture image is captured by the camera device after the sound playback device plays the repulsion audio signal;
[0117] The control module 530 can also be used to control the sound playback device to play a preset expulsion audio signal within a preset duration after the recognition module 520 recognizes the scratching action in the first furniture image.
[0118] The control module 530 can also be used to control the vibration device to vibrate after the recognition module 520 recognizes that the scratching motion also exists in the second furniture image.
[0119] In one embodiment, the protective device 500 of the smart furniture may further include a transmitting module and a receiving module.
[0120] The sending module can be used to send the second furniture image to a mobile terminal bound to the smart furniture after the scratching action is also detected in the second furniture image by the recognition module 520, so that the mobile terminal outputs the furniture image and detects the confirmation operation input by the user of the mobile terminal based on the second furniture image;
[0121] The receiving module can be used to receive a confirmation command sent by the mobile terminal; the confirmation command is sent by the mobile terminal after detecting the confirmation operation.
[0122] The control module 530 can also be used to control the vibration of the vibration device in response to the confirmation command.
[0123] In one embodiment, the protective device 500 of the smart furniture may further include: a scanning module, a statistics module, and a generation module.
[0124] The scanning module can be used to scan the pet electronic chip around the smart furniture after the recognition module 520 recognizes the scratching action in the furniture image, and identify the pet's identity information from the scanned pet electronic chip;
[0125] The statistics module can be used to count the cumulative number of scratches corresponding to the pet's identity information;
[0126] The generation module can be used to generate a health alert message when the cumulative number of scratches counted by the statistics module exceeds the threshold.
[0127] The sending module can also be used to send the pet's identity information and health alert information to a mobile terminal bound to the smart furniture.
[0128] In one embodiment, the scanning module can scan at least two of the pet electronic chips; the scanning module can also be used to detect the received signal strength of each of the at least two scanned pet electronic chips; and to identify pet identity information from the pet electronic chip with the strongest received signal strength.
[0129] In one embodiment, the protective device 500 of the smart furniture may further include a detection module.
[0130] The detection module can be used to detect whether there is a person on the bed after the recognition module 520 recognizes the existence of the scratching action in the furniture image and before the control module 530 controls the vibration device to vibrate and / or controls the sound playback device to play a preset expulsion audio signal, and after detecting that there is a person on the bed, detect whether the human body is in a sleeping state.
[0131] The control module 530 can also be used to adjust the playback frequency of the expulsion audio signal to a frequency outside the human ear's hearing frequency after detecting that the human body on the bed is asleep, and to control the sound playback device to play the adjusted expulsion audio signal, and to control the vibration device to remain silent.
[0132] In one embodiment, the protective device 500 of the smart furniture may further include: a scanning module, a judgment module, and a sending module.
[0133] The scanning module can be used to scan the signals emitted by the pet electronic chip in the vicinity before the acquisition module 510 acquires the furniture image of the smart furniture captured by the camera device, and determine the distance between the smart furniture and the pet carrying the pet electronic chip based on the RSSI intensity value of the scanned signal.
[0134] The judgment module can be used to determine whether a pet has entered the electronic fence based on distance.
[0135] The sending module can be used to send a shooting command to the camera device and trigger the acquisition module to perform the operation of acquiring the furniture image of the smart furniture captured by the camera device after the judgment module determines that the pet has entered the electronic fence; the aforementioned shooting command can be used to trigger the camera device to capture the furniture image.
[0136] Optionally, the control module 530 can also be used to control the sound playback device to play a repulsion audio signal after the judgment module determines that a pet has entered the electronic fence, so as to prevent the pet from approaching the smart furniture.
[0137] In one embodiment, the sending module can also be used to send a pseudo-feeding command to the smart feeder after the judgment module determines that the pet has entered the electronic fence. The pseudo-feeding command can be used to trigger the smart feeder to play a food-dropping audio signal through an audio playback device. The food-dropping audio signal is the sound signal generated when food falls from the food storage of the smart feeder into the feeding bowl.
[0138] As can be seen, the smart furniture protection method and device disclosed in the foregoing embodiments can acquire images of the furniture captured by a camera device, monitor whether a pet is scratching the furniture based on visual recognition, and when it is determined that the pet is scratching the furniture, drive the pet away from the vicinity of the smart furniture by vibration and / or playing a repulsion audio signal to prevent damage to the smart furniture. In other words, the smart furniture can actively monitor the pet's scratching behavior and actively drive away the scratching animal, which helps to reduce losses for the owner.
[0139] Please see Figure 6 , Figure 6 This is a structural schematic diagram of a smart furniture disclosed in one embodiment. For example... Figure 6 As shown, the mobile terminal may include:
[0140] Memory 610 storing executable program code;
[0141] Processor 620 coupled to memory 610;
[0142] The processor 620 calls the executable program code stored in the memory 610 to execute any of the smart furniture protection methods disclosed in the embodiments of this application.
[0143] It should be noted that, Figure 6 The smart furniture shown may also include components not shown, such as power supply, speaker, Wi-Fi module, Bluetooth module, and sensors, which will not be described in detail in this embodiment.
[0144] This application discloses a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor implements any of the smart furniture protection methods disclosed in this application.
[0145] This application discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute any of the smart furniture protection methods disclosed in this application.
[0146] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this application. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Those skilled in the art should also recognize that the embodiments described in the specification are optional embodiments, and the actions and modules involved are not necessarily essential to this application.
[0147] In the various embodiments of this application, it should be understood that the sequence number of each process does not necessarily imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0148] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; they can be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0149] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0150] If the aforementioned integrated units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-accessible memory. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several requests to cause a computer device (which can be a personal computer, server, or network device, specifically a processor in the computer device) to execute some or all of the steps of the methods described in the various embodiments of this application.
[0151] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.
[0152] The foregoing has provided a detailed description of the protective method, device, smart furniture, and storage medium for smart furniture disclosed in the embodiments of this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the embodiments above are merely for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.
Claims
1. A method for protecting smart furniture, characterized in that, The smart furniture is communicatively connected to a camera device, the camera device's field of view including the smart furniture; the smart furniture also includes a vibration device and a sound playback device; the method includes: The camera device captures images of the smart furniture; the furniture images include: a first furniture image and a second furniture image; the first furniture image is captured by the camera device before the sound playback device plays the repulsion audio signal, and the second furniture image is captured by the camera device after the sound playback device plays the repulsion audio signal; The furniture image is identified to determine whether there is a scratching action of an animal scratching the smart furniture in the furniture image; If the scratching action is detected in the furniture image, then the vibration device is controlled to vibrate and / or the sound playback device is controlled to play a preset expulsion audio signal, including: If the scratching action is detected in the first furniture image, the sound playback device is controlled to play a preset expulsion audio signal within a preset duration. If the scratching action is also present in the identified second furniture image, the second furniture image is sent to the mobile terminal bound to the smart furniture, so that the mobile terminal outputs the furniture image and detects the confirmation operation input by the user of the mobile terminal based on the second furniture image; Receive a confirmation command sent by the mobile terminal; the confirmation command is sent by the mobile terminal after detecting the confirmation operation; In response to the confirmation command, the vibration device is controlled to vibrate.
2. The method according to claim 1, characterized in that, After identifying the scratching motion in the furniture image, the method further includes: Scan the pet electronic chips around the smart furniture and identify the pet's identity information from the scanned pet electronic chips; Count the cumulative number of scratches corresponding to the pet's identity information; When the cumulative number of scratches exceeds a threshold, a health alert is generated, and the pet's identity information and the health alert are sent to a mobile terminal bound to the smart furniture.
3. The method according to claim 2, characterized in that, At least two of the pet's electronic chips were detected. And, the identification of pet identity information from the scanned pet electronic chip includes: Detect the received signal strength of each of the at least two pet electronic chips that have been scanned; The pet's identity information is identified from the pet's electronic chip, which receives the strongest signal.
4. A protective device for smart furniture, characterized in that, The protective device is communicatively connected to the camera device, and the camera device's field of view includes the smart furniture; the smart furniture also includes a vibration device and a sound playback device; The protective device includes: An acquisition module is used to acquire furniture images of the smart furniture captured by the camera device; the furniture images include: a first furniture image and a second furniture image; the first furniture image is captured by the camera device before the sound playback device plays the expulsion audio signal, and the second furniture image is captured by the camera device after the sound playback device plays the expulsion audio signal; The recognition module is used to recognize the furniture image and identify whether there is a scratching action of an animal scratching the smart furniture in the furniture image; The control module is used to control the vibration device to vibrate and / or control the sound playback device to play a preset repulsion audio signal after the recognition module identifies the scratching action in the furniture image. The control module is also used to control the sound playback device to play a preset expulsion audio signal within a preset duration after the recognition module recognizes the scratching action in the first furniture image. The sending module is used to send the second furniture image to a mobile terminal bound to the smart furniture after the scratching action is also detected in the second furniture image by the recognition module, so that the mobile terminal outputs the furniture image and detects the confirmation operation input by the user of the mobile terminal based on the second furniture image; A receiving module is configured to receive a confirmation instruction sent by the mobile terminal; the confirmation instruction is sent by the mobile terminal after detecting the confirmation operation. The control module is also configured to control the vibration device to vibrate in response to the confirmation command.
5. A smart furniture, characterized in that, The method includes a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor causes the processor to perform the steps of the method as described in any one of claims 1 to 3.
6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 3.