CN114747505A - Smart pet training assistant system based on artificial intelligence - Google Patents
Smart pet training assistant system based on artificial intelligence Download PDFInfo
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- CN114747505A CN114747505A CN202210362364.9A CN202210362364A CN114747505A CN 114747505 A CN114747505 A CN 114747505A CN 202210362364 A CN202210362364 A CN 202210362364A CN 114747505 A CN114747505 A CN 114747505A
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- 238000012549 training Methods 0.000 title claims abstract description 119
- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 39
- 238000012545 processing Methods 0.000 claims description 14
- 230000007774 longterm Effects 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 4
- 230000006870 function Effects 0.000 claims description 4
- 235000011888 snacks Nutrition 0.000 claims description 4
- 238000012795 verification Methods 0.000 abstract description 3
- 230000007547 defect Effects 0.000 abstract description 2
- 230000036544 posture Effects 0.000 description 10
- 239000002131 composite material Substances 0.000 description 3
- 235000013305 food Nutrition 0.000 description 3
- 241000282472 Canis lupus familiaris Species 0.000 description 2
- 241000282326 Felis catus Species 0.000 description 2
- 230000006399 behavior Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000010419 pet care Methods 0.000 description 2
- 238000005728 strengthening Methods 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000037308 hair color Effects 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002787 reinforcement Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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Classifications
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01K—ANIMAL HUSBANDRY; CARE OF BIRDS, FISHES, INSECTS; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
- A01K15/00—Devices for taming animals, e.g. nose-rings or hobbles; Devices for overturning animals in general; Training or exercising equipment; Covering boxes
- A01K15/02—Training or exercising equipment, e.g. mazes or labyrinths for animals ; Electric shock devices ; Toys specially adapted for animals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
Abstract
The invention is suitable for the pet training equipment field, provides an intelligent pet training assistant system based on artificial intelligence, which comprises a robot subsystem and also comprises: the artificial intelligence module is electrically connected with the robot subsystem; the mobile APP subsystem is electrically connected with the cloud subsystem; and the cloud upper subsystem is electrically connected with the robot subsystem. The intelligent pet training assistant system based on artificial intelligence can help a user train pets through the robot subsystem, the artificial intelligence module, the mobile APP subsystem and the cloud subsystem, ensure that the pets can still recognize specific commands while learning the commands and strengthen training along with the lapse of time, and also can provide verification results about the success and the defects of training for the pets, so that the user can conveniently adjust training courses of each pet, the training quality of the pets is improved, and the intelligent pet training assistant system is worthy of popularization.
Description
Technical Field
The invention belongs to the field of pet training equipment, and particularly relates to an intelligent pet training assistant system based on artificial intelligence.
Background
A pet refers to an organism that people have housed for mental purposes, not for economic purposes. Until recently, pet care was only the responsibility of pet owners, and there were several pet toys on the market, but there were no truly autonomous solutions to help them care for pets. In recent years, smart devices have emerged to assist in pet care, particularly cat and dog care, including automated food and water dispensers, fixed or remote cameras for pet monitoring. To date, however, there has been no smart device that can assist an owner in pet training, particularly when learning certain commands and strengthening the training over time to ensure that the pet still recognizes those commands for a long period of time.
At present, the pet is trained by a special pet trainer or taught basic instructions to the pet by the owner, but the two cases can not ensure long-term effect, because the pet trainer only executes the training of the pet trainer within a period of time, and then the pet owner continues to strengthen the training and repeats the commands with the passage of time. It is often the case that pet owners are unable to keep up with the frequency or consistency of rigorous pet training requirements into the long-term skill of the pet. In addition, pet owners do not have a standardized and systematic way to monitor the progress of pet training and how to treat certain commands as learned while others require reinforcement.
Therefore, in view of the above situation, there is an urgent need to develop an artificial intelligence-based smart pet training assistant system to overcome the shortcomings in the current practical application.
Disclosure of Invention
In view of the shortcomings in the prior art, an object of the embodiments of the present invention is to provide an intelligent pet training assistant system based on artificial intelligence, so as to solve the above problems in the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
an artificial intelligence based smart pet training assistant system, comprising a robot subsystem, further comprising:
the artificial intelligence module is electrically connected with the robot subsystem and is used for directly interacting with pets in cooperation with the robot subsystem and executing training courses;
the mobile APP subsystem is electrically connected with the on-cloud subsystem and is used for the owner to arrange training courses of the pet and monitor the training progress;
and the cloud upper subsystem is electrically connected with the robot subsystem and is used for managing resources, safety and training data.
As a further technical solution of the present invention, the robot subsystem includes robot hardware, a processing unit module, a camera, and a microphone, the robot hardware includes a hardware housing and an internal component, the processing unit module, the camera, and the microphone are all installed in the robot hardware, and the processing unit module is electrically connected to the robot hardware, the camera, and the microphone, respectively.
As a further technical solution of the present invention, the processing unit module includes a PCB board, the PCB board is electrically connected to a motor, the PCB board is used for receiving and processing signals from the internal components, and the motor is used for driving the hardware housing and the internal components to move.
As a further technical solution of the present invention, the artificial intelligence module includes:
the pet detection module is used for detecting pets in various environments;
the pet identification module is used for identifying a single pet;
the pet posture recognition module is used for recognizing the posture of the pet.
As a further technical scheme of the invention, the intelligent pet training assistant system based on artificial intelligence comprises the following steps:
step (1): the method comprises the steps that a user creates an independent pet data for each pet on a mobile APP, and pet information is input;
step (2): the user records the order spoken by the user to each pet, records the order into a video and uploads the video to the mobile APP;
and (3): the user uses the mobile APP to set a training course for the pet for a specific time period;
and (4): the sub-system on the cloud tracks the schedule of each pet training course and sends the schedule of the training course to the robot for execution;
and (5): when a training course is started, the robot can interrupt other functions and enter a training mode;
and (6): the robot sends out a training instruction to instruct the pet to train and simultaneously recognize the training posture of the pet;
and (7): after the pet correctly executes the command each time, the system controls the robot to give a snack reward to the pet;
and (8): after training is finished, the robot sends pet training records and results after each instruction to the cloud subsystem (4) for storage and analysis;
and (9): the on-cloud subsystem creates a report according to the analysis, displays the progress and improvement suggestion of the pet, and sends the progress and improvement suggestion to the mobile APP for the user to know the training information of the pet;
step (10): and the user adjusts the training course of the pet according to the pet training report provided by the mobile APP.
As a further technical scheme of the invention, in step (4), the user modifies or deletes the preset training course on the mobile APP, the system updates the training course according to the data collected from the mobile APP, and the updated training course is sent to the robot.
As a further technical scheme of the invention, in the step (6), after the pet is called and identified by the robot, the robot continues to send training commands to the pet and identify the structure of the commands until the preset training course command is finished.
As a further technical scheme of the invention, in the step (8), according to the performance of the pet, the mobile APP can carry out specific skill improvement on personal data of the pet, provide the performance of the pet in specific training and the progress condition of a long term for the user, and store the data in the cloud subsystem.
Compared with the prior art, the invention has the beneficial effects that:
the system can help the user to train the pet through the set robot subsystem, the artificial intelligence module, the mobile APP subsystem and the cloud subsystem, ensure that the pet can still recognize specific commands after learning the commands and strengthening the training along with the lapse of time, and provide verification results about the success and the defects of the training for each pet, so that the system is convenient for the user to adjust the training course of each pet, improves the quality of training for the pet, and is worthy of popularization.
In order to more clearly illustrate the structural features and effects of the present invention, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments.
Drawings
FIG. 1 is a flow chart of the intelligent pet training assistant system based on artificial intelligence in the invention.
FIG. 2 is a flow chart showing the steps of the artificial intelligence based pet training aid system of the present invention.
Fig. 3 is a flow chart of a method of creating composite data for a pet database and a pet gesture database in accordance with the present invention.
FIG. 4 is a flow chart of training a pet based on real data and virtual data in accordance with the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Specific implementations of the present invention are described in detail below with reference to specific embodiments.
As shown in FIGS. 1 and 2, an artificial intelligence based smart pet training assistant system provided as an embodiment of the present invention comprises a robot subsystem, and further comprises:
the artificial intelligence module is electrically connected with the robot subsystem and is used for being matched with the robot subsystem to directly interact with the pet and execute training courses;
the mobile APP subsystem is electrically connected with the cloud subsystem and is used for arranging training courses of pets and monitoring the training progress of the pets by a master;
and the cloud upper subsystem is electrically connected with the robot subsystem and is used for managing resources, safety and training data.
In this embodiment, the system of the present invention can help the user train the pet through the set robot subsystem, artificial intelligence module, mobile APP subsystem and cloud subsystem, and ensure that the pet learns specific commands and enhances training over time, so as to ensure that the pet can still recognize the commands for a long time.
For the subsystem on the cloud, programs, identity verification methods and intelligent resource management routines are developed using Python programming language and JavaScript, and using virtual host services on a cloud server, incoming requests from the mobile APP subsystem and outgoing commands from the robot subsystem are allowed to be received.
As shown in fig. 1, as a preferred embodiment of the present invention, the robot subsystem includes robot hardware, a processing unit module, a camera, a microphone, a battery, a charging system, other sensors, an LED lamp, a laser, a food distribution system, a display, a sound box, a motor, a steering engine, and the like, the robot hardware includes a hardware housing and an internal component, the processing unit module, the camera, the microphone, the battery, the charging system, other sensors, the LED lamp, the laser, the food distribution system, the display, the sound box, the motor, the steering engine, and the like are all installed in the robot hardware, and the processing unit module is electrically connected with the robot hardware, the camera, and the microphone, respectively.
In this embodiment, the operating system of the robot subsystem is Linux Ubuntu, and the software thereof is written in Python and C + + programming languages and any Linux bash commands. The robot is connected with the Internet through WIFI, and can be directly connected to the cloud subsystem and the mobile APP subsystem after authentication;
the mobile APP subsystem is created for Android and iOS operating systems and is created by combining Flutter and Android/iOS native programming.
As shown in fig. 1, as a preferred embodiment of the present invention, the processing unit module includes a PCB board electrically connected to a motor, the PCB board is used for receiving and processing signals from the internal components, and the motor is used for driving the hardware housing and the internal components to move.
As shown in fig. 1, as a preferred embodiment of the present invention, the artificial intelligence module includes:
the pet detection module is used for detecting pets in various environments;
the pet identification module is used for identifying a single pet;
the pet posture recognition module is used for recognizing the posture of the pet.
In this embodiment, all functions of the artificial intelligence module are created using a deep learning approach and are based on TensorFlow 2.0 and use Python programming language. The training of the artificial intelligence module is to take any desired posture, performed using data collected by real animals;
as shown in fig. 3 and 4, the pet detection module and pet gesture recognition module are machine learning algorithms using neural networks that train not only on the basis of recording data gestures required to observe real pets for performance, but also on the basis of synthetic data specifically created to depict gestures required by animated pets in a virtual environment. This greatly improves the performance of the artificial intelligence module because the training data required by the pet training model is very scarce and it is difficult to find quality data for pets that maintain these postures for a long time. By using composite data, these difficulties can be overcome, allowing the virtual pet to assume any realistic pose at any time desired.
As shown in fig. 3 and 4, the method of creating composite data for the pet database and the pet gesture database includes the steps of:
1. creating a 3D model of the pet using the software Blender, including cats and dogs of different sizes and breeds;
2. creating skeletons for the 3D models so that their pose can be manipulated;
3. creating different external meshes- "skin" for different pet appearances, including different skin tone, hair color, pattern, and hair length;
4. in the 3D environment of the Blender software, different 3D model-skeleton- "skin" combinations are used to represent different synthetic pets, and the synthetic pets are placed in different skeleton postures;
5. using a virtual camera of the software, taking pictures and videos of pets with different postures from different camera angles;
6. different pictures and videos are used to train the machine learning model.
In general, the AI model is trained in conjunction with data collected from an existing database of real pets in different poses, which is then self-tagged, self-collected and self-tagged data for real pets in different poses, and synthetic data. Obtained using the procedure described above. The test is only performed on real world data. After the synthetic data is integrated, the performance of the model becomes more robust, and many varieties or poses that originally possessed very limited real data can be identified.
As shown in FIGS. 1 and 2, the steps of the intelligent pet training assistant system based on artificial intelligence are as follows:
step (1): users purchase robots and download mobile APPs on their cell phones, then they create an account on the mobile APP connecting their online profiles to the robots they purchase; the user creates a separate pet profile for each pet on the mobile APP and inputs pet information, and uploads photos and videos of each pet on the mobile APP so that our artificial intelligence module can use them to identify each of their pets;
step (2): the user records the order spoken by the user to each pet, including the name of the pet, such as "lucky" and the like, and records the order as a video to be uploaded to the mobile APP, and then other orders which can be recognized by the artificial intelligence module, such as "sit down", "lie down", "roll" and "stand up" and the like;
and (3): the user uses the mobile APP to set a training course for the pet for a specific time period;
and (4): the on-cloud subsystem tracks the schedule of each pet training course and sends the schedule of the training course to the robot for execution, wherein the training course can comprise at least one command, the first command is usually called out, but the training course can also comprise a series of commands which are executed by the pets one by one;
and (5): when the training course is started, the robot will interrupt other functions and enter a "training mode" which begins by calling out the name of the pet for which training is being performed, and then the artificial intelligence module will detect whether the pet has arrived around the robot and recognize whether the called specific pet has arrived. If not, the robot repeats the name of the pet a certain number of times until the pet is identified or until the command is deemed to fail, in which case training is stopped;
and (6): the robot sends out a training instruction to instruct the pet to train and simultaneously recognize the training posture of the pet;
and (7): after the pet correctly executes the command each time, the system controls the robot to give a snack reward to the pet;
and (8): after training is finished, the robot sends pet training records and results after each instruction to the cloud subsystem for storage and analysis;
and (9): the on-cloud subsystem creates a report according to the analysis, displays the progress and improvement suggestion of the pet, and sends the progress and improvement suggestion to the mobile APP for the user to know the training information of the pet;
step (10): the user adjusts the training course of the pet according to the pet training report provided by the mobile APP.
In this embodiment, there are two main reasons for the user to upload the video: first, ensuring that the pet can execute the command, because teaching a command that has not been executed before does not ensure success, but can also be attempted; secondly, to provide more data to our artificial intelligence system, ensure that it can identify correct execution more efficiently;
the system controls the robot to give snack rewards to the pet, which can actively enhance pet behavior, and the training method is approved by pet behavior expert teams designing the training system, and positive enhancement treatment is given only at the end of the whole command chain after the training course begins to contain more commands.
As shown in FIG. 2, in step (4), the user modifies or deletes the predetermined training course on the mobile APP, and the system updates the training course according to the data collected from the mobile APP and sends the updated training course to the robot.
As shown in fig. 2, as a preferred embodiment of the present invention, in step (6), after the pet is called and recognized by the robot, the robot continues to transmit training commands to the pet and recognize the structure of the commands until the predetermined training course command is finished.
In this embodiment, for each command, if proper execution is not recognized, the command is repeated a set number of times until recognized or until it is deemed to have failed.
As shown in FIG. 2, in step (8), according to the performance of the pet, the mobile APP performs specific skill improvement on the personal data of the pet, provides the performance of the pet in specific training and the progress status of the long term to the user, and stores the data in the cloud subsystem.
In the embodiment, through long-term repeated system training of pets, the owner orders higher memory rate and correct execution rate when needing, so that the system becomes a long-term training auxiliary solution.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. An artificial intelligence based intelligent pet training assistant system comprises a robot subsystem and is characterized by further comprising:
the artificial intelligence module is electrically connected with the robot subsystem and is used for being matched with the robot subsystem to directly interact with the pet and execute training courses;
the mobile APP subsystem is electrically connected with the on-cloud subsystem and is used for the owner to arrange training courses of the pet and monitor the training progress;
and the cloud upper subsystem is electrically connected with the robot subsystem and is used for managing resources, safety and training data.
2. The artificial intelligence based smart pet training assistant system according to claim 1, wherein the robot subsystem comprises robot hardware, a processing unit module, a camera and a microphone, the robot hardware comprises a hardware housing and internal components, the processing unit module, the camera and the microphone are all installed in the robot hardware, and the processing unit module is electrically connected with the robot hardware, the camera and the microphone respectively.
3. The artificial intelligence based pet training aid system of claim 2 wherein the processing unit module comprises a PCB board electrically connected to a motor, the PCB board configured to receive and process signals from the internal components, the motor configured to drive the hardware housing and the internal components to move.
4. The artificial intelligence based smart pet training assistant system according to claim 1, wherein the artificial intelligence module comprises:
the pet detection module is used for detecting pets in various environments;
the pet identification module is used for identifying a single pet;
the pet posture recognition module is used for recognizing the posture of the pet.
5. The artificial intelligence based smart pet training assistant system according to claim 1, wherein the steps of using the artificial intelligence based smart pet training assistant system are as follows:
step (1): the user creates an independent pet data for each pet on the mobile APP and inputs pet information;
step (2): the user records the order spoken by the user to each pet, records the order into a video and uploads the video to the mobile APP;
and (3): the user uses the mobile APP to set a training course for the pet for a specific time period;
and (4): the sub-system on the cloud tracks the schedule of each pet training course and sends the schedule of the training course to the robot for execution;
and (5): when a training course is started, the robot can interrupt other functions and enter a training mode;
and (6): the robot sends out a training instruction to instruct the pet to train and simultaneously recognize the training posture of the pet;
and (7): after the pet correctly executes the command each time, the system controls the robot to give a snack reward to the pet;
and (8): after training is finished, the robot sends pet training records and results after each instruction to the cloud subsystem (4) for storage and analysis;
and (9): the on-cloud subsystem creates a report according to the analysis, displays the progress and improvement suggestion of the pet, and sends the progress and improvement suggestion to the mobile APP for the user to know the training information of the pet;
step (10): the user adjusts the training course of the pet according to the pet training report provided by the mobile APP.
6. The artificial intelligence based smart pet training assistant system as claimed in claim 5, wherein in step (4), the user modifies or deletes the predetermined training course on the mobile APP, and the system will update the training course according to the data collected from the mobile APP and send the updated training course to the robot.
7. The artificial intelligence based smart pet training assistant system according to claim 5, wherein in step (6), after the pet is called and recognized by the robot, the robot continues to send training commands to the pet and recognize the structure of the commands until the predetermined training course command is over.
8. The artificial intelligence based smart pet training assistant system of claim 5, wherein in step (8), the mobile APP performs specific skill improvement on the pet's profile according to the pet's performance, provides the user with the performance of the pet in specific training and the long term evolution, and stores the data in the cloud subsystem.
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| CN202210362364.9A CN114747505A (en) | 2022-04-07 | 2022-04-07 | Smart pet training assistant system based on artificial intelligence |
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| CN202210362364.9A CN114747505A (en) | 2022-04-07 | 2022-04-07 | Smart pet training assistant system based on artificial intelligence |
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| JP2007006814A (en) * | 2005-07-01 | 2007-01-18 | Tadahiro Sumikawa | System for assisting rearing of pet |
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Application publication date: 20220715 |