Projection system, projection apparatus, and method of controlling projection apparatus

Abstract

To provide a projection system, a projection apparatus, and a method of controlling a projection apparatus.SOLUTION: A method of controlling a projection apparatus includes: receiving schedule data through an artificial intelligence model from the projection apparatus or a terminal apparatus; generating at least one of a standard command and a personalized picture through the artificial intelligence model according to the schedule data and a rule command; executing an operation corresponding to the schedule data through the projection apparatus according to the standard command after receiving the standard command through the projection apparatus; and projecting the personalized picture through the projection apparatus after receiving the personalized picture through the projection apparatus. A projection system, the projection apparatus, and the method of controlling the projection apparatus of the present invention can provide a personalized reminder service.SELECTED DRAWING: Figure 3

Description

Technical Field

[0001] The present invention relates to display technology, and more particularly to a projection system, a projection device, and a control method for a projection device.

Background Art

[0002] Generally, the control method of a projection device (projector) is often performed by a user manually operating the remote control of the projection device or operating the man-machine interface in the projection device. Therefore, the conventional control method of the projection device is quite inconvenient.

[0003] Specifically, the user needs to have knowledge about the projection device. For example, when adjusting the functions of the projection device by the remote control, the user needs to study the meaning of each item in the menu of the projection device and how to adjust the operation settings of the projection device according to the usage situation. In addition, the user needs to manually adjust the operation settings of the projection device. Therefore, the conventional method for adjusting the operation settings of the projection device is inconvenient.

[0004] The content of the "Background Art" paragraph is for assisting in understanding the content of the present invention, and the content described in the "Background Art" paragraph can include prior art other than what is grasped by those with ordinary knowledge in the technical field. Regarding the content described in the "Background Art" paragraph, what represents the problems to be solved by the content of the "Background Art" or one or more embodiments of the present invention is not already grasped or known by those with ordinary knowledge in the technical field before the filing of the present invention.

Summary of the Invention

Problems to be Solved by the Invention

[0005] The present invention provides a projection system, a projection device, and a control method for a projection device that can provide an individualized reminder service.

[0006] Other objects and advantages of the present invention will become more apparent from the technical features disclosed in the present invention.

Means for Solving the Problems

[0007] In order to achieve one, some, or all of the above objects, or other objects, the present invention includes steps of receiving schedule data from a projection device or a terminal device by an artificial intelligence model, generating at least one of a standard command and a personalized image by the artificial intelligence model based on the schedule data and a rule command, after the projection device receives the standard command, executing an operation corresponding to the schedule data by the projection device based on the standard command, and after the projection device receives the personalized image, projecting the personalized image by the projection device. The present invention provides a control method for a projection device characterized by including these steps.

[0008] In order to achieve one, some, or all of the above objects, or other objects, the present invention provides a projection system including a projection device, a terminal device, and an artificial intelligence model communicatively connected to the projection device and the terminal device respectively. The artificial intelligence model receives schedule data from the projection device or the terminal device, generates at least one of a standard command and a personalized image based on the schedule data and a rule command. When the projection device receives the standard command, the projection device executes an operation corresponding to the schedule data based on the standard command. When the projection device receives the personalized image, the projection device projects the personalized image. The projection system is characterized by these features.

[0009] To achieve one, some, or all of the above objectives, or other objectives, the present invention provides a projection device including a projection module, a communication interface, and at least one processor. The communication interface receives schedule data and at least one of a standard command and a personalized image corresponding to the schedule data. The schedule data includes a schedule time. The at least one processor is electrically connected to the communication interface and the projection module, executes an operation corresponding to the schedule data at the schedule time based on the standard command, and drives the projection device to project the personalized image at the schedule time based on the personalized image.

Advantages of the Invention

[0010] As described above, the present disclosure can provide a personalized reminder service and can provide a more personalized and effective experience to meet the needs of various users by autonomously performing dynamic adjustments based on user feedback and schedule data.

Brief Description of the Drawings

[0011]

Figure 1

Figure 2

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Figure 7A

Figure 7B

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Mode for Carrying Out the Invention

[0012] The above or other technical contents, features, and effects of the present invention will become clear as shown in the detailed description of the preferred embodiments with reference to the following drawings. The directional terms such as "up", "down", "left", "right", "front", and "rear" mentioned in the following embodiments are merely explanatory terms for reference directions when simply referring to the drawings, and the present invention is not limited to those indicated by the directional terms.

[0013] FIG. 1 is a schematic diagram of a projection system according to the first embodiment of the present invention. As shown in FIG. 1, the projection system 100 includes an artificial intelligence (AI) model 10, a projection device 20, and a terminal device 30. The artificial intelligence model 10, the projection device 20, and the terminal device 30 communicate by wired and / or wireless communication methods.

[0014] Figure 2 is a schematic diagram of a projection device according to a first embodiment of the present invention. As shown in Figure 2, the projection device 20 includes a processor 210, a projection module 220, a communication interface 230, and a memory 240, and a speaker 250 is optionally provided. The processor 210 is connected to the projection module 220, the communication interface 230, the memory 240, and the speaker 250. The number of processors 210 may be one or more, and here, for convenience of explanation, only one processor 210 is shown.

[0015] The processor 210 may be, for example, a Central Processing Unit (CPU), a Physics Processing Unit (PPU), a programmable microprocessor, an embedded control chip, a Digital Signal Processor (DSP), an Application Specific Integrated Circuits (ASIC), or other similar devices. The plurality of processors 210 may be, for example, a combination of the above processors.

[0016] The projection module 220 projects multimedia content onto a projection target (such as a curtain, a table, or a wall). The projection module 220 includes a pixel element (such as a light valve), a projection lens, a light source (such as a Light Emitting Diode (LED), a Laser Diode (LD), or a combination including the above), and optical elements for transmitting a light beam (such as a mirror, a spectroscopic element, etc.).

[0017] The communication interface 230 communicates with other devices or communication networks to transmit and receive signals via a network. The communication interface 230 may include a wired communication interface and / or a wireless communication interface. The wired communication interface may be implemented using, for example, a Universal Serial Bus (USB) port, a General Purpose Interface Bus (GPIB) port, or a Local Area Network (LAN) port. The wireless communication interface may be implemented using, for example, a wireless local area networks (WLAN) interface, a cellular network communication interface, or a combination thereof.

[0018] The memory 240 may be implemented using any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, hard disk, or other similar devices, or a combination thereof. The memory 240 may exist independently and be connected to at least one processor 210 via a communication bus, or the memory 240 may be integrated with at least one processor 210. The memory 240 may include one or more source code fragments that, after being installed, are executed by at least one processor 210.

[0019] The speaker 250 is, for example, a loudspeaker. In this embodiment, the speaker 250 is provided within the projection device 20. In other embodiments, the speaker 250 may be an independent device that is communicatively connected to the communication interface 230 of the projection device 20 via a wired transmission interface such as an audio source line or a wireless transmission protocol such as Bluetooth.

[0020] In this embodiment, the projection system 100 may provide a function of remotely starting the projection device 20. For example, the user uses the terminal device 30 to control the timing of turning on and off the power of the projection device 20 using a local network. The terminal device 30 is an electronic product having a network function such as, for example, the user's smart mobile phone, smart watch, smart bracelet, tablet computer, notebook computer, etc.

[0021] In this embodiment, the artificial intelligence model 10 includes at least one chatbot having a machine learning algorithm. The artificial intelligence model 10 may be provided in the projection device 20 and connected to the processor 210 of the projection device 20, or the artificial intelligence model 10 may be provided in the cloud server. The memory of the cloud server or the projection device 20 is used, for example, to store a chatbot having a machine learning algorithm, and the processor of the cloud server or the projection device 20 is used, for example, to execute the above algorithm to realize the control method of the projection device described below. FIG. 3 is a flowchart of the control method of the projection device according to the first embodiment of the present invention. As shown in FIGS. 1 to 3, in step S305, the artificial intelligence model 10 receives schedule data from the projection device 20 or the terminal device 30. In step S310, based on the schedule data and the rule command, the artificial intelligence model 10 generates at least one of a standard command and a personalized image. The schedule data includes at least one of an alarm event and a schedule event. The personalized image is, for example, the desktop of the projection device 20 (the background image projected by the projection device 20).

[0022] In step S315, after the projection device 20 receives the standard command, the processor 210 of the projection device 20 executes an operation corresponding to the schedule data on the projection device 20 based on the standard command. The operation includes at least one of a wake-up operation, an alarm playback operation, a brightness adjustment operation, a projection mode adjustment operation, an alarm playback operation, and a desktop change operation. In step S320, after the projection device 20 receives the personalized image, the projection device 20 projects the personalized image.

[0023] FIG. 4 is a schematic diagram of a projection system according to a second embodiment of the present invention. As shown in FIG. 4, this embodiment is an application example of the first embodiment, and the projection system 100 may further include a cloud server 40. A rule command is stored in the cloud server 40. The rule command is used to limit the standard command generated by the artificial intelligence model 10 to be compatible with the operations executable by the projection device 20, and to limit the personalized image generated by the artificial intelligence model 10 to correspond to the schedule data. The cloud server 40 receives at least one of the standard command and the personalized image from the artificial intelligence model 10.

[0024] The cloud server 40 includes a processor, a communication device, and a memory. The memory is used to store, for example, one or more source code fragments, and the processor is used to execute, for example, the one or more source code fragments described above. The communication device is used to communicate and connect with the projection device 20 and the artificial intelligence model 10. In this embodiment, the projection device 20, the artificial intelligence model 10, and the cloud server 40 are realized by three independent hardware devices. The artificial intelligence model 10 is provided, for example, on a third-party server. In other embodiments, the projection device 20 and the cloud server 40 may be integrated into one hardware device.

[0025] The projection device 20 or the terminal device 30 transmits the schedule data to the cloud server, and transmits the received schedule data and the corresponding rule instructions to the artificial intelligence model 10 via the cloud server 40. Then, based on the schedule data and the rule instructions, the artificial intelligence model 10 generates at least one of a standard instruction and a personalized image, and transmits it to the cloud server 40.

[0026] The schedule data includes the schedule time corresponding to each event (schedule event and alarm event). After receiving the standard instruction and the personalized image, the cloud server 40 transmits the standard instruction and the personalized image to the projection device 20 at the schedule time corresponding to the schedule data.

[0027] After receiving the standard instruction from the artificial intelligence model 10, the cloud server 40 may convert the standard instruction into a control code and transmit the control code to the projection device 20. The standard instruction may include the operation to be executed and the schedule time for executing the operation. In one embodiment, the cloud server 40 may convert the operation to be executed in the standard instruction into a control code executable by the projection device 20, and transmit the control code to the projection device 20 at the schedule time included in the standard instruction. Thereby, the projection device 20 can execute the control code at the schedule time to execute the operation corresponding to the schedule data.

[0028] In other embodiments, the cloud server 40 may transmit at least one of the control code and the personalized image to the terminal device 30, and the terminal device 30 may transmit at least one of the control code and the personalized image to the projection device 20 at the schedule time.

[0029] In other embodiments, the above operation of converting the standard instruction into a control code may be executed by the terminal device 30 or the projection device 20.

[0030] In one embodiment, the schedule data includes an alarm event, and the schedule time corresponding to the alarm event is, for example, the first specified time. The artificial intelligence model 10 may generate a first standard command and a first image corresponding to the alarm event based on the alarm event and the rule command. The cloud server 40 transmits the first standard command and the first image to the projection device 20 at the first specified time corresponding to the alarm event. After receiving the first standard command and the first image, the projection device 20 projects the first image and executes a first operation based on the first standard command. The first operation includes, for example, driving the speaker 250 to emit an audio signal and driving the projection module 220 to adjust the display brightness. The speaker 250 emits an audio signal from small to large, and the display brightness of the projection module 220 is, for example, the display brightness from dark to bright.

[0031] The schedule data may further include a schedule event, and the schedule time corresponding to the schedule event is, for example, the second specified time. The artificial intelligence model 10 may generate a second standard command and a second image corresponding to the schedule event based on the schedule event and the rule command. The cloud server 40 transmits the second standard command and the second image to the projection device 20 at the second specified time corresponding to the schedule event. After receiving the second standard command and the second image, the projection device 20 projects the second image and executes a second operation based on the second standard command. The second operation includes, for example, driving the projection module 220 to adjust the display brightness (brightness adjustment operation) and projecting a reminder corresponding to the schedule event (reminder playback operation).

[0032] In one embodiment, the user may adopt methods such as character control, voice control, or touching the display screen of the projection device 20 (or the terminal device 30) to receive the corresponding control signal of the projection device 20 (or the terminal device 30). After the projection device 20 (or the terminal device 30) receives the control signal, the control signal is transmitted to the artificial intelligence model 10 via the cloud server 40. The artificial intelligence model 10 generates a third standard command based on the control signal and the rule command, and transmits the third standard command to the cloud server 40. The cloud server 40 transmits the third standard command to the projection device 20. After the projection device receives the third standard command, the projection device executes a third operation based on the third standard command. The third operation includes, for example, stopping driving the speaker 250 to emit an audio signal and driving the projection module 220 to adjust the display brightness to be dimmer.

[0033] FIG. 5 is a schematic diagram of a projection system according to a third embodiment of the present invention. As shown in FIG. 5, this embodiment is an application example of the first embodiment, and the artificial intelligence model 10 further includes a natural language model 51 and an image generation model 52. The rule command includes a first rule command and a second rule command. The natural language model 51 generates a standard command based on the schedule data and the first rule command. The image generation model 52 generates an individualized image based on the schedule data and the second rule command.

[0034] The natural language model 51 may be any pre-trained chatbot such as Chat Generative Pre-trained Transformer (ChatGPT), Microsoft Bing, Google Bard, or ERNIE Bot, or may be a dedicated chatbot trained with data in a specific field. The image generation model 52 is, for example, a trained smart graph generation model of any of Jasper Art, Midjourney, DALL-E2, DALL-E3, Stability AI DreamStudio, Wombo, or Stable Diffusion. The natural language model 51 and the image generation model 52 may be other trained models. The natural language model 51 and the image generation model 52 are provided on the cloud server 40 or a third-party cloud server and may be executed by a processor of the cloud server 40 or the third-party cloud server.

[0035] In this embodiment, the user inputs schedule data into the projection device 20. Thereafter, as shown in step S501, the projection device 20 transmits the schedule data to the cloud server 40. In step S503, the cloud server 40 transmits the schedule data and the first rule command to the natural language model, and generates a standard command with the natural language model 51. In step S505, the cloud server 40 transmits the schedule data and the second rule command to the image generation model 52, and generates an individualized image with the image generation model 52.

[0036] In step S507, the cloud server 40 receives the standard command from the natural language model 51. In step S509, the cloud server 40 receives the individualized image from the image generation model 52. After converting the standard command into control code executable by the projection device 20, in step S510, the cloud server 40 transmits the control code and the individualized image to the projection device 20.

[0037] In one embodiment, the natural language model 51 generates a standard command based on the schedule data and the first rule command, and the standard command includes an instruction for the projection device 20 to project a reminder corresponding to the schedule data. The image generation model 52 generates an individualized image based on the schedule data, the second rule command, and the reminder described above.

[0038] The first rule command is used to limit the natural language model 51 to generate a standard command that conforms to the schedule data for the schedule data and is executable by the projection device 20. The first rule command and the second rule command may be pre-stored in the cloud server 40, or the second rule command may be generated by the natural language model 51. That is, the natural language model 51 generates a standard command based on the schedule data and the first rule command from the cloud server 40, and at the same time generates the second rule command. The natural language model 51 transmits the second rule command to the cloud server 40. The cloud server 40 transmits the second rule command to the image generation model 52, and the image generation model generates an individualized image based on the schedule data and the second rule command, and then transmits the individualized image to the cloud server 40.

[0039] For example, the first rule instruction further includes "Please generate a drawing command that can be read by the image generation model based on the keywords of the schedule data." The drawing command is the second rule command. For example, when the keyword of the schedule data is analyzed by the natural language model 51 as being related to Christmas, the second rule command generated by the natural language model 51, for example, "Please generate an image related to Christmas."

[0040] FIG. 6 is a schematic diagram of a projection system according to a fourth embodiment of the present invention. As shown in FIG. 6, this embodiment is an application example of the first embodiment. In step S601, user 60 inputs schedule data using terminal device 30, and in step S603, the schedule data may be transmitted to cloud server 40 via the terminal device. In step S605, cloud server 40 transmits the schedule data and the rule command to artificial intelligence model 10. The artificial intelligence model 10 generates a standard command and / or a personalized image.

[0041] In step S607, artificial intelligence model 10 transmits at least one of the standard command and the personalized image to cloud server 40. In cloud server 40, the standard command is converted into a control code executable by projection device 20. Then, in step S609, cloud server 40 transmits the control code and the personalized image to projection device 20.

[0042] In one embodiment, the function of making projection device 20 function as a smart alarm may be realized by projection system 100. The following will be described with reference to FIGS. 7A to 7C.

[0043] FIG. 7A is a schematic diagram of a personalized image corresponding to an alarm event according to a fifth embodiment of the present invention. FIG. 7B is a schematic diagram of a personalized image corresponding to a snooze mode according to a fifth embodiment of the present invention. FIG. 7C is a schematic diagram of a personalized image corresponding to a schedule event according to a fifth embodiment of the present invention. The fifth embodiment is an application example of the first embodiment. In the fifth embodiment, assume that the user has previously set an alarm event (the first specified time is 10:00 am on Saturday) to wake up at 10:00 am on December 9, 2023 (Saturday) using terminal device 30 or projection device 20, and has set a plurality of schedule events (including corresponding multiple schedule times) on the day of Saturday.

[0044] Schedule data (including alarm events and schedule events) is transmitted to the artificial intelligence model 10 via the cloud server 40, and the artificial intelligence model generates a first standard command corresponding to the alarm event and an alarm image 710 (the first image), and generates a second standard command corresponding to the schedule event and a schedule image 720 (the second image). The cloud server 40 converts the first standard command and the second standard command into corresponding control codes respectively.

[0045] At 10:00 am on Saturday, December 9, 2023, the cloud server 40 transmits the alarm image 710 and the first standard command to the projection device 20. For example, the first standard command includes commands for instructing the projection device 20 to execute a wake-up operation, an alarm playback operation, a brightness adjustment operation, and a desktop change operation. After the projection device 20 executes the wake-up operation (power on) based on the first standard command, the processor 210 controls the projection module 220 to perform a brightness adjustment operation to make the brightness of the light source change from dark to bright. Then, it executes the desktop change operation, projects the alarm image 710, and executes the alarm playback operation to drive the speaker 250 to play the alarm sound. For example, by adjusting the light source of the projection device 20 to simulate the effect of sunrise and gradually increasing the intensity of the brightness of the light source, the user can be awakened in a more natural way.

[0046] As shown in FIG. 7A, the projection device 20 uses the alarm image 710 as the desktop. The first standard command may further include an instruction for the projection device 20 to execute a reminder playback operation, for example, an instruction for displaying the current time 711 and the text information 713 corresponding to the alarm event on the alarm image 710.

[0047] When playing an alarm sound, if the projection device 20 receives a control signal that the user wants to enter the snooze mode, the projection device 20 transmits the control signal to the artificial intelligence model 10. The artificial intelligence model 10 generates a third standard command based on the control signal and the rule command, converts the third standard command into a control code, and then transmits the third standard command to the cloud server 40 so as to transmit the control code to the projection device 20. The control signal may be a text signal, an audio signal, a touch signal, or the like. The user may transmit a command to enter the snooze mode to the projection device 20 by voice, text, or touch on the screen. Alternatively, the user may transmit the command to the terminal device 30, and the terminal device may transmit the received control signal to the artificial intelligence model 10 via the cloud server 40. The third standard command includes, for example, an instruction for the projection device 20 to change the display brightness and / or the parameters of the audio signal. For example, the speaker 250 is made not to continue playing the alarm sound, and / or the brightness of the projection module 220 is lowered, and the brightness adjustment operation and the alarm playback operation are executed again after 10 minutes.

[0048] As shown in FIG. 7B, in the snooze mode, after receiving the control code corresponding to the third standard command, the projection device 20 performs a brightness adjustment operation to control the projection module 220 by the processor 210 so that the brightness of the light source gradually becomes brighter. The reminder displayed in the alarm image 710 by the projection device 20 may include the current time 721, the text information 723 corresponding to the snooze mode, and the alarm image 725. This state is maintained for 10 minutes. After 10 minutes have elapsed (i.e., at 10:10), the brightness of the light source of the projection module 220 is controlled to gradually become brighter, the alarm playback operation is executed, and the speaker 250 is driven to play the alarm effect sound.

[0049] As shown in FIG. 7C, at 10:10 am on Saturday, December 9, 2023, the cloud server 40 transmits the second standard command and the schedule image 720 to the projection device 20. For example, the second standard command includes commands for instructing a desktop change operation and a reminder playback operation. In the projection device 20, the processor 210 controls the projection module 220 to execute the desktop change operation and the reminder playback operation.

[0050] In this embodiment, the projection system 100 may use the artificial intelligence model 10 to create a personalized desktop based on the user's schedule data, time zone data, etc., and display various reminders on the desktop in the form of an information wall. The projection device 20 or the terminal device 30 can obtain the user's current position by the Global Positioning System (GPS), and further obtain the time zone data. The projection device 20 or the terminal device 30 may transmit the time zone data to the cloud server 40, and the cloud server 40 obtains the weather information corresponding to the time zone data based on the received time zone data. For example, in FIG. 7C, the projection device 20 uses the schedule image 720 as the desktop. The reminders displayed on the schedule image 720 include the current time 731, the text information 733 regarding the weather information, the schedule list 735, and the like. The text information 733 regarding the weather information displays the current weather information regarding the user's current position, whereby the user can grasp the local weather situation.

[0051] FIG. 8 is a schematic diagram of an individualized image according to a sixth embodiment of the present invention. The sixth embodiment is an application example of the first embodiment. In the sixth embodiment, it is assumed that the user uses the application program of the terminal device 30 or the projection device 20 to preset the wake-up time on weekdays (from Monday to Friday) to 7:00 am. The terminal device 30 or the projection device 20 acquires the schedule data for tomorrow (December 5, 2023), and transmits the alarm event including the wake-up time and the subsequent schedule events to the artificial intelligence model 10 via the cloud server 40. The artificial intelligence model 10 generates corresponding standard commands and individualized images 810 based on the alarm events and schedule events. The cloud server 40 converts the standard commands into corresponding control codes.

[0052] At 7:00 am on December 5, 2023 (Thursday) (the wake-up time preset by the user), the cloud server 40 transmits the individualized image 810 and the control code to the projection device 20, causing the projection device to perform a wake-up operation. Then, the processor 210 controls the projection module 220 to perform a brightness adjustment operation, brightening the brightness of the light source from dark to bright, and projecting the individualized image 810 and each reminder, executing an alarm playback operation, and driving the speaker 250 to play an alarm sound effect.

[0053] As shown in FIG. 8, the projection device 20 uses the individualized image 810 as a desktop. The artificial intelligence model 10 may provide relevant information about the schedule location based on the schedule data and time zone data. The relevant information includes weather information, traffic information, news information, etc. The relevant information may be obtained, for example, by searching through the Internet network. The regular command of this embodiment includes a standard command for the artificial intelligence model 10 to generate relevant information about the schedule location based on the schedule data and time zone data. For example, the reminder displayed on the individualized image 810 may include the time 801, text information 803 related to weather information, a schedule table list 805, a reminder list 807 corresponding to the schedule data, and news information 809 of the day.

[0054] The artificial intelligence model 10 may generate a reminder based on the schedule data and weather information of the day. For example, if the schedule event included in the schedule data is "jogging", the artificial intelligence model 10 generates a reminder recommending the carrying of sportswear and sports shoes. If the schedule event within the next week (or within a specified period such as one month) included in the schedule data is "birthday celebration", the artificial intelligence model 10 generates a reminder recommending the corresponding schedule event. Alternatively, if the weather information of the day is "rain", the artificial intelligence model 10 generates a reminder recommending the carrying of rain gear, and if the weather information of the day is "sunny", the artificial intelligence model 10 generates a reminder recommending the use of sunscreen products.

[0055] The standard command may further include a command for instructing the projection device 20 to project a reminder for an unscheduled schedule. For example, based on the multiple historical schedule data of the user, the artificial intelligence model 10 obtains the specific actions taken by the user at a specific time. That is, the artificial intelligence model 10 may learn the daily actions or work schedule of the user based on the historical schedule data. After the artificial intelligence model 10 receives the schedule data, if the schedule data does not include a specific action at a specific time, the artificial intelligence model 10 generates at least one of a standard command and an individualized image corresponding to the specific action based on the specific action and the rule command. Thereby, the projection system 100 may generate a reminder based on the daily actions or work of the user, project a corresponding individualized image at a specific time by the projection device 20, and execute an operation corresponding to the reminder (for example, sending a reminder notification).

[0056] For example, when a specific behavior such as a certain day of each month in the history schedule data being a payday is analyzed by the artificial intelligence model 10, in the next month, even if the user does not spontaneously input a schedule event related to the salary, the artificial intelligence model 10 may automatically generate a reminder indicating that today is the payday and a related personalized image to be projected onto the projection device 20 on the payday. Also, for example, when a specific behavior such as regularly undergoing a health check in a certain month of each year in a plurality of history schedule data is analyzed by the artificial intelligence model 10, the artificial intelligence model 10 may automatically generate a reminder related to the health check in that month.

[0057] The artificial intelligence model 10 may obtain parameter setting contents corresponding to multiple usage states of the projection device 20 based on a plurality of history schedule data. For example, the projection device 20 obtains parameter setting contents corresponding to the movie mode and parameter setting contents corresponding to the presentation mode. Then, when the artificial intelligence model 10 receives the schedule data, after obtaining the parameter setting contents corresponding to one usage state corresponding to the schedule data from the history schedule data, it generates a standard command based on the parameter setting contents and rule commands of the history schedule data. For example, when the schedule data received by the natural language model 51 of the artificial intelligence model 10 is for watching a movie using the projection device 20, the natural language model 51 analyzes the state data of the movie mode of the projection device 20 in which the schedule data of the user 60 is for watching a movie based on the history schedule data. The natural language model 51 may generate a standard command (projection mode adjustment operation) for switching the projection mode of the projection device 20 to the movie mode at the schedule time corresponding to the schedule data. The parameter setting contents of this movie mode are, for example, the parameter setting contents of the relevant parameters of the projection device 20 in the movie mode when the user 60 previously watched a movie, whereby the effect of individualizing the projection mode can be achieved. The cloud server 40 may associate the history schedule data of the user 60 with the state data of the projection device 20 at the schedule time corresponding to the history schedule data, which may be the content of the first rule command. When the user 60 inputs new schedule data, the above-mentioned first rule command is transmitted to the natural language model 51. The first rule command of this embodiment instructs, for example, the natural language model 51 to generate a standard command for adjusting the state data of the projection mode of the projection device 20 based on the history schedule data.

[0058] The projection device 20 may further transmit the status data of the projection device 20 to the cloud server 40. The status data is, for example, parameters such as the currently set brightness, chromaticity, volume, etc. of the projection device 20. The cloud server 40 may acquire at least one of weather information and traffic information corresponding to the time zone data based on the received time zone data. The cloud server 40 transmits at least one of the time zone data, status data, weather information, and traffic information to the artificial intelligence model 10.

[0059] The artificial intelligence model 10 may further generate at least one of a standard command and a personalized image based on at least one of the time zone data, status data, weather information, and traffic information, schedule data, and a rule command.

[0060] The traffic information is, for example, real-time traffic data, and the traffic data may be acquired by the terminal device 30, the projection device 20, or the cloud server 40. The artificial intelligence model 10 may use the real-time traffic data to generate the most efficient route (a route with a short commuting time and / or few transfers) for commuting on the day corresponding to the schedule data. The standard command includes a command for instructing the projection device 20 to display the most efficient route. Thereby, the user's time can be saved. The means of commuting includes a car, a train, a motorcycle, a bicycle, or walking, etc.

[0061] The natural language model 51 of the artificial intelligence model 10 generates a standard command based on the schedule data, time zone data, status data, and the first rule command. The first rule command includes "Analyze the schedule data and generate a standard command based on the time zone data and status data". The standard command may include providing the schedule for the day, important future holidays, weather information, traffic information, local news information, commuting time, and commuting route at the schedule location, and generating appropriate status data of the projection device corresponding to the schedule data and time zone data.

[0062] The artificial intelligence model 10 may provide different schedule reminder proposals to the user according to different situations (weekdays or holidays). When the schedule event included in the schedule data is "travel", the reminder corresponding to the standard command generated by the artificial intelligence model 10 may be, for example, a travel route proposal including tourist spots and stopover locations proposed to improve the user's travel experience. When the schedule event included in the schedule data is "work", the reminder corresponding to the standard command generated by the artificial intelligence model 10 may be, for example, the most efficient commuting route, such as the route with the shortest distance, the fastest commuting time, the fewest transfer times, etc.

[0063] Figure 9 is a diagram showing the control process of the projection system according to the seventh embodiment of the present invention. As shown in Figure 9, in step S905, the user 60 inputs schedule data. In one embodiment, the user 60 activates an application program of the terminal device 30 (for example, an application program of an AI assistant), and gives this application the authority to use the schedule application program and / or the alarm application program of the terminal device 30 and the authority to use the location of the terminal device 30. In one embodiment, the user 60 activates the voice input interface of the schedule application program and causes the processor of the terminal device 30 to activate its voice capture device (for example, a microphone). The user 60 inputs the schedule data by voice. The schedule data includes information such as participants related to the schedule, alarm events, schedule events, schedule times, locations, related objects, etc. For example, the alarm event is "when to wake up", etc. Alternatively, the schedule may be input in text via the text input interface of the schedule application program.

[0064] Alternatively, the user 60 may directly input a command for changing the schedule via the voice input interface or the character input interface of the AI assistant's application program. For example, if the scheduled alarm event is to wake up at 8:00 am and the projection device 20 plays an alarm image (alarm image 710 shown in FIG. 7A) and an alarm sound effect, the user 60 may change the scheduled wake-up time to the terminal device 30 by tapping the "snooze mode" of the voice input or the AI assistant's application program, and generate a control signal for adjusting the alarm playback operation to 8:10. For details, reference may be made to the descriptions of FIGS. 7A and 7B.

[0065] In step S907, the projection device 20 transmits the status data to the cloud server 40. In step S910, the terminal device 30 transmits the schedule data and the time zone data to the cloud server 40. The terminal device 30 transmits the schedule data of the schedule application program, the status data of the projection device 20, together with the time zone data of the terminal device 30, to the cloud server 40 by the AI assistant's application program. In one embodiment, the terminal device 30 may be set to transmit the schedule data, the time zone data, and the status data to the cloud server 40 when receiving the schedule data input by the user 60. In other embodiments, the terminal device 30 may be set to transmit the schedule data, the time zone data, and the status data to the cloud server 40 at regular intervals.

[0066] In step S915, the cloud server 40 transmits the schedule data, the time zone data, the status data, and the rule command to the artificial intelligence model 10. The step in which the cloud server 40 receives and stores the time zone data may be obtained by the user 60 being permitted to obtain the location of the projection device 20 and the projection device 20 transmitting the time zone data to the cloud server 40.

[0067] In step S920, the artificial intelligence model 10 generates a standard command and a personalized image based on schedule data, time zone data, status data, and a rule command. In step S925, the artificial intelligence model 10 transmits the standard command and the personalized image to the cloud server 40.

[0068] In this embodiment, the natural language model 51 generates a standard command based on schedule data, time zone data, status data, and a first rule command, and also generates a second rule command at the same time. For example, the first rule command further includes "generating a drawing command that can be read by an image generation model based on the keyword of the schedule data, the time zone data, and the corresponding reminder". The drawing command is the second rule command. The image generation model 52 generates a personalized image based on the second rule command.

[0069] In one embodiment, the natural language model 51 may analyze and extract keywords in the schedule data, grasp the daily actions of the user 60 or the schedule for that day, and provide a reminder. The first rule command includes a command for instructing the natural language model 51 to generate a standard command corresponding to the reminder based on the schedule data and the time zone data. For example, the standard command generated by the natural language model 51 can project the schedule for the whole day of that day (for example, the schedule list 735 in FIG. 7C, the schedule list 805 in FIG. 8) on the projection device 20 at the user's wake-up time, enabling the user 60 to clearly grasp the upcoming schedule events.

[0070] In one embodiment, the schedule data may include holidays such as Christmas, New Year's Eve, Father's Day, Mother's Day, etc., or important holidays within the next few days (one week, two weeks, one month, etc.) such as the birthdays of friends or family members. The standard command generated by the natural language model 51 can project a reminder on the projection device 20 on the day of the important holiday and a few days before it, enabling the user 60 to be reminded.

[0071] For example, the natural language model 51 determines that it will be Christmas in five days based on the schedule data, and the standard command generated by the natural language model 51 may include a command for instructing the projection device 20 to project reminders such as a plurality of items most suitable for Christmas presents and / or restaurants in the area of the user 60 suitable for celebrating Christmas.

[0072] For example, the natural language model 51 determines that it will be a family member's birthday in three days based on the schedule data, and the standard command generated by the natural language model 51 may include a command for instructing the projection device 20 to project reminders such as present preparation and / or restaurant reservation to remind the user 60. On the day of the family member's birthday, the standard command generated by the natural language model 51 includes a command for instructing the projection device 20 to project a reminder to inform the user 60 to go out with a present on the family member's birthday. If the schedule data further includes the meal time and location of the family member's birthday, the standard command further includes a command for instructing the projection device 20 to project a reminder of the meal information for that day.

[0073] In one embodiment, the natural language model 51 of the artificial intelligence model 10 determines that the user 60 will stay in the same area today based on the schedule data, and the standard command generated by the natural language model 51 may include a command for instructing the projection device 20 to project the weather information, traffic information, and news information 809 of that area and generating a reminder list 807 based on the weather information, traffic information, and news information 809. For example, if the news information 809 includes news that endangers local people (such as terrorist attacks and wars), the natural language model 51 may generate a reminder to recommend not going out today or going out with caution.

[0074] In one embodiment, the natural language model 51 of the artificial intelligence model 10 determines the destination where the user 60 will travel today based on the schedule data, obtains the weather information, traffic information, and local news of the destination, and generates a reminder. For example, the standard command includes a command for instructing the projection device 20 to project the weather of the travel destination in order to assist the user in making an appropriate travel plan. Alternatively, the standard command may include a command for instructing the projection device 20 to project reminders such as weather changes, the optimal commuting route, commuting means, and commuting time between the original location and the destination.

[0075] In one embodiment, the natural language model 51 may determine that the user 60 is making a travel plan based on the schedule data, and the standard command generated by the natural language model 51 instructs the projection device 20 to project reminders including the proposed travel schedule, tourist attractions, and travel routes, and may also include a command for generating reminders such as the clothes and items proposed to be brought based on the weather information of the travel location.

[0076] In one embodiment, the natural language model 51 may change the relevant parameters of the state data of the projection device 20 based on the state data and schedule data of the projection device 20. For example, the standard command includes making the brightness of the light source of the projection module 220 of the projection device 20 change from dark to bright, and making the volume of the alarm sound effect played by the projection device 20 change from small to large. In this embodiment, the first regular command includes a command for instructing the natural language model 51 to generate a standard command for adjusting the state data of the projection device 20 based on the state data and schedule data.

[0077] In one embodiment, the natural language model 51 may change relevant parameters of the state data of the projection device 20 based on the state data and the history schedule data of the projection device 20. For example, when analyzing the history schedule data, the natural language model 51 grasps that the user 60 failed to make it in time for the next schedule event following the alarm event by adjusting to the "snooze mode" multiple times after the alarm sound went off. In contrast, when there are other schedule events following the alarm event, the natural language model 51 may automatically generate a standard command to instruct the projection device 20 to increase the brightness of the light source and the volume of the alarm sound so that the user 60 will not be late for the next schedule event. In this embodiment, the first rule command includes a command for instructing the natural language model 51 to generate a standard command for adjusting the state data of the alarm mode of the projection device 20 based on the history schedule data. In other embodiments, the projection system 100 may sound the alarm earlier by a predetermined time after obtaining the consent of the user to ensure that the user can wake up in time.

[0078] In one embodiment, the natural language model 51 may change relevant parameters of the state data of the projection device 20 based on the state data and the time zone data of the projection device 20. For example, when analyzing that the local time zone is currently at night, the natural language model 51, the standard command generated by the natural language model 51 may include a command for instructing to lower the display brightness of the projection module 220 of the projection device 20. In this embodiment, the first rule command includes a command for instructing the natural language model 51 to generate a standard command for adjusting the state data of the projection mode of the projection device 20 based on the state data and the time zone data.

[0079] The image generation model 52 may generate a personalized image based on the keywords of the schedule data and the time zone data. In this embodiment, the second rule instruction includes an instruction for instructing the image generation model 52 to generate a personalized image based on the schedule data and the time zone data, and the personalized image corresponds to the schedule of the day or an important holiday approaching. For example, the alarm event included in the schedule data is set to wake up at 8:00 am, and the image generation model 52 generates a personalized image that is a landscape image according to the weather in the local time zone. For example, the schedule event included in the schedule data is set to have a meeting at 2:00 pm, and the image generation model 52 generates a personalized image that is an image according to the situation of the meeting. For example, the schedule event included in the schedule data is set to be a trip to a certain place, and the image generation model 52 generates a personalized image that is an image with a famous place at the travel destination.

[0080] In one embodiment, the natural language model 51 may be communicatively connected to the image generation model 52. The image generation model 52 may further generate a personalized image according to the reminder generated by the natural language model 51. In this embodiment, the second rule instruction includes an instruction for instructing the image generation model 52 to generate a personalized image according to the schedule data, the time zone data, and the reminder included in the standard instruction. For example, the reminder generated by the natural language model 51 is that today is payday, and the image generation model 52 may generate a personalized image related to money as the desktop of the projection device 20 on the day of payday.

[0081] Returning to FIG. 9, in step S930, the cloud server 40 converts the received standard instruction into a control code. In step S935, the cloud server 40 transmits the control code and the personalized image to the projection device 20. In step S940, the projection device 20 executes the control code to realize the corresponding operation and projects the personalized image.

[0082] FIG. 10 is a diagram showing a control process of a projection system according to an eighth embodiment of the present invention. This embodiment is an application example of the first embodiment. In step S1005, the user 60 inputs schedule data to the projection device 20 by an input device (for example, a keyboard, a remote control, or an on-screen display (OSD)). In step S1010, the projection device 20 transmits the schedule data, the time zone data, and the status data to the cloud server 40. In step S1015, the cloud server 40 transmits the schedule data, the time zone data, the status data, and the rule commands (the first rule command and the second rule command) to the artificial intelligence model 10.

[0083] In step S1020, the artificial intelligence model 10 generates a standard command and a personalized image based on the schedule data, the time zone data, the status data, and the rule commands. In step S1025, the artificial intelligence model 10 transmits the standard command and the personalized image to the cloud server 40. In step S1030, the cloud server 40 converts the standard command into a control code. In step S1035, the cloud server 40 transmits the control code and the personalized image to the projection device 20. In step S1040, the projection device 20 executes the control code to realize the corresponding operation and projects the personalized image.

[0084] In other embodiments, when the power of the projection device 20 is off, the power-on of the projection device 20 may be controlled by the AI assistant of the terminal device 30 together with the cloud server 40. For example, steps S601 to S609 shown in FIG. 6 are such that the schedule data supplied from the terminal device 30 is transmitted to the artificial intelligence model 10 via the cloud server 40, and after the artificial intelligence model generates a standard command and / or a personalized image, the control code converted by the standard command and / or the personalized image is transmitted to the projection device 20 via the cloud server 40, and the projection device 20 is activated to perform the corresponding operation. Next, like steps S501 to S510 shown in FIG. 5, the schedule data may be provided by the projection device 20 and the operation of the projection device 20 may be controlled.

[0085] From the above, the present disclosure can provide an individualized reminder service, and by autonomously making dynamic adjustments based on user feedback and schedule data, it can provide a more individualized and effective experience to meet the needs of various users. The projection system can realize the idea of using the projection device as an AI smart alarm through an artificial intelligence model.

[0086] According to the above embodiments, it has the following advantages.

[0087] 1. The function of the smart alarm clock can be optimized. The projection system can analyze the user's schedule data and grasp the user's working and activity hours. Based on this information, the projection system can automatically generate standard commands at appropriate times and adjust the parameter settings (power / brightness / audio) of the projection device to ensure that the user does not miss important events or takes good breaks.

[0088] 2. The audio can be optimized. The projection system can analyze the user's preferences for various voices and further optimize the playback acoustic effect of the projection device.

[0089] 3. The lighting can be controlled. The projection system can simulate the effect of sunrise by adjusting the light source of the projection device, gradually increasing the intensity of the light rays, and waking up the user in a more natural way. The projection system can record the user's reaction to the lighting (for example, whether the user issues commands to change the illustration or brightness) and adjust the optimal brightness mode.

[0090] 4. The personalized image can be optimized. The projection system can automatically generate relevant personalized images by inferring the user's preferences and interests based on the user's schedule data. For example, by analyzing the user's schedule data, the projection system can figure out that the user often goes to the zoo, and thus infer that the user likes animals. Accordingly, the projection system can generate a personalized image based on the positive prompt that "the user likes animals".

[0091] The above are only preferred embodiments of the present invention, and the scope of implementation of the present invention is not limited thereto. Based on the claims of the present invention and the content of the specification, any changes and modifications can be made by those skilled in the art, and the protection scope of the present invention is based on the claims. Also, neither the embodiments of the present invention nor the claims necessarily need to achieve all of the disclosed objects, advantages, or features of the present invention. Further, the abstract and the title of the invention are only for assisting the search operation of patent documents and do not limit the scope of the rights of the present invention. Also, terms such as "first", "second", etc. in this specification or the claims are only used to name the elements or distinguish different embodiments or scopes, and do not limit the upper or lower limits of the number of members.

Explanation of Reference Numerals

[0092] 100: Projection system 10: Artificial intelligence model 20: Projection device 30: Terminal device 40: Cloud server 51: Natural language model 52: Image generation model 60: User 210: Processor 220: Projection module 230: Communication interface 240: Memory 250: Speaker 710: Alarm image 711, 721, 731, 801: Time 713, 723, 733, 803: Text information 725: Alarm image 720: Schedule image 735, 805: Schedule list 807: Reminder list 809: News information 810: Personalized image S305 - S320: Steps S501 - S510: Steps S601 - S609: Steps S905 - S940: Steps S1005 - S1040: Steps

Claims

1. receiving schedule data from a projection device or a terminal device by an artificial intelligence model; generating at least one of a standard command and an individualized image by the artificial intelligence model based on the schedule data and the rule command; After the projection device receives the standard command, the projection device executes an operation corresponding to the schedule data according to the standard command; and after the projection device receives the personalized image, projecting the personalized image by the projection device.

2. The step of receiving the schedule data from the projection device or the terminal device by the artificial intelligence model includes: transmitting the schedule data to a cloud server via the projection device or the terminal device, the cloud server storing the rule command; The method of claim 1 , further comprising: transmitting the schedule data and the rule command to the artificial intelligence model via the cloud server.

3. The artificial intelligence model includes a natural language model and an image generation model; the regulatory directive includes a first regulatory directive and a second regulatory directive; generating at least one of the standard command and the individualized image by the artificial intelligence model based on the schedule data and the rule command, generating the standard command by the natural language model based on the schedule data and the first rule command; 2. The method of claim 1, further comprising: generating the individualized image by the image generation model based on the schedule data and the second rule command.

4. generating at least one of the standard command and the individualized image by the artificial intelligence model based on the schedule data and the rule command, generating the standard command corresponding to a reminder by the natural language model based on the schedule data and the first rule command; 4. The method of claim 3, further comprising: generating the individualized image by the image generation model based on the reminder, the schedule data, and the second rule command.

5. The schedule data includes a schedule time; The method for controlling the projection device includes: receiving the standard command and the personalized image via a cloud server; The method of claim 1 , further comprising: transmitting the standard command and the personalized image to the projection device via the cloud server at the schedule time corresponding to the schedule data.

6. the schedule data includes at least one of an alarm event and a schedule event; generating at least one of the standard command and the individualized image by the artificial intelligence model based on the schedule data and the rule command, generating, by the artificial intelligence model, a first standard command and a first image corresponding to the alarm event based on the alarm event and the rule command; generating, by the artificial intelligence model, a second standard command and a second image corresponding to the schedule event based on the schedule event and the rule command; The step of transmitting the standard command and the personalized image to the projection device via the cloud server at the schedule time corresponding to the schedule data includes: transmitting the first standard command and the first image to the projection device via the cloud server at a first designated time corresponding to the alarm event, and after receiving the first standard command and the first image by the projection device, projecting the first image and performing a first operation based on the first standard command, wherein the first operation includes driving a speaker to output an audio signal and driving a projection module to adjust a display brightness; 6. The method of claim 5, further comprising: transmitting the second standard command and the second image to the projection device via the cloud server at a second designated time corresponding to the schedule event; and after the projection device receives the second standard command and the second image, projecting the second image and performing a second operation based on the second standard command, wherein the second operation includes driving the projection module to adjust the display brightness and projecting a reminder corresponding to the schedule event.

7. After the projection device executes the operation based on the standard command, After the projection device or the terminal device receives the control signal, the control signal is transmitted to the artificial intelligence model via the cloud server; generating a third standard command by the artificial intelligence model according to the control signal and the rule command, and transmitting the third standard command to the cloud server; 7. The method of claim 6, further comprising: transmitting the third standard command to the projection device via the cloud server; and, after the projection device receives the third standard command, executing a third operation based on the third standard command.

8. and obtaining parameter settings corresponding to each of a plurality of use states of the projection device by the artificial intelligence model based on a plurality of historical schedule data; generating the standard command by the artificial intelligence model based on the schedule data and the rule command, 2. The method for controlling a projection device according to claim 1, further comprising a step of: acquiring the parameter setting content corresponding to one of the plurality of usage states corresponding to the schedule data, and then generating the standard command by the artificial intelligence model based on the parameter setting content and the rule command.

9. 2. The method of claim 1, wherein the operation includes at least one of a wake-up operation, an alarm playback operation, a brightness adjustment operation, a projection mode adjustment operation, a reminder playback operation, and a desktop change operation.

10. transmitting time zone data and status data of the projection device to a cloud server via the projection device or the terminal device; acquiring, by the cloud server, at least one of weather information and traffic information corresponding to the time zone data based on the received time zone data; The method for controlling a projection device according to claim 1 , further comprising a step of transmitting at least one of the time zone data, the status data, the weather information, and the traffic information to the artificial intelligence model via the cloud server.

11. generating at least one of the standard command and the individualized image by the artificial intelligence model based on the schedule data and the rule command, 11. The method of claim 10, further comprising: generating at least one of the standard command and the individualized image by the artificial intelligence model based on the time zone data, the status data, at least one of the weather information and the traffic information, the schedule data, and the regulation command.

12. After a cloud server receives the standard command from the artificial intelligence model, the cloud server converts the standard command into a control code and transmits the control code to the projection device; 2. The method of claim 1, further comprising: after the projection device receives the control code, executing the control code by the projection device to perform the operation corresponding to the schedule data.

13. According to a plurality of historical schedule data of a user, the artificial intelligence model obtains a specific behavior performed by the user at a specific time; The control method for a projection device of claim 1, further comprising: if, after the artificial intelligence model receives the schedule data, the schedule data does not include the specific action at the specific time, the artificial intelligence model generates at least one of the standard command and the individualized image corresponding to the specific action based on the specific action and the rule command.

14. A projection system including a projection device, a terminal device, and an artificial intelligence model communicatively connected to the projection device and the terminal device, respectively, The artificial intelligence model receives schedule data from the projection device or the terminal device, and generates at least one of a standard command and an individualized image according to the schedule data and a rule command; When the projection device receives the standard command, the projection device executes an operation corresponding to the schedule data according to the standard command; A projection system, characterized in that, when the projection device receives the personalized image, the projection device projects the personalized image.

15. The projection system further includes a cloud server communicatively connected to the artificial intelligence model, the projection device, and the terminal device; The rule command is stored in the cloud server, The projection system of claim 14 , wherein the cloud server transmits the rule command and the schedule data from the projection device or the terminal device to the artificial intelligence model.

16. the regulatory directive includes a first regulatory directive and a second regulatory directive; The artificial intelligence model includes a natural language model and an image generation model; The artificial intelligence model generates the standard command based on the schedule data and the first rule command; 15. The projection system of claim 14, wherein the image generation model generates the individualized image based on the schedule data and the second regulation directive.

17. the natural language model generates the standard command corresponding to a reminder based on the schedule data and the first rule command; 17. The projection system of claim 16, wherein the image generation model generates the personalized image based on the reminder, the schedule data, and the second rule directive.

18. The schedule data includes a schedule time; The projection system further includes a cloud server communicatively coupled to the artificial intelligence model and the projection device; The rule command is stored in the cloud server, The projection system of claim 14, wherein the cloud server receives the standard command and the personalized image from the artificial intelligence model, and transmits the standard command and the personalized image to the projection device at the scheduled time corresponding to the schedule data.

19. the schedule data includes at least one of an alarm event and a schedule event; The projection device includes a speaker and a projection module; The artificial intelligence model generates, based on the alarm event and the rule command, a first standard command and a first image corresponding to the alarm event, and generates, based on the schedule event and the rule command, a second standard command and a second image corresponding to the schedule event; The cloud server includes: transmitting the first standard command and the first image to the projection device at a first designated time corresponding to the alarm event, such that the projection device projects the first image and performs a first operation based on the first standard command, the first operation including driving the speaker to output an audio signal and driving the projection module to adjust a display brightness; 20. The projection system of claim 18, further comprising: transmitting the second standard command and the second image to the projection device at a second specified time corresponding to the scheduled event, so that the projection device projects the second image and performs a second operation based on the second standard command, the second operation including driving the projection module to adjust the display brightness and projecting a reminder corresponding to the scheduled event.

20. After the projection device or the terminal device receives the control signal, the control signal is transmitted to the artificial intelligence model via the cloud server; The artificial intelligence model generates a third standard command based on the control signal and the rule command, and transmits the third standard command to the cloud server; The projection system of claim 19 , wherein the cloud server transmits the third standard command to the projection device so that the projection device performs a third operation based on the third standard command.

21. The artificial intelligence model is acquiring parameter setting contents corresponding to each of a plurality of usage states of the projection device based on a plurality of historical schedule data; The projection system according to claim 14, characterized in that after obtaining the parameter setting content corresponding to one of the multiple usage states corresponding to the schedule data, the standard command is generated based on the parameter setting content and the regulation command.

22. 15. The projection system of claim 14, wherein the operations include at least one of a wake-up operation, an alarm playback operation, a brightness adjustment operation, a projection mode adjustment operation, a reminder playback operation, and a desktop change operation.

23. The projection system further includes a cloud server communicatively connected to the artificial intelligence model, the projection device, and the terminal device; The rule command is stored in the cloud server, The cloud server includes: receiving time zone data and status data of the projection device from the projection device or the terminal device; Based on the received time zone data, acquiring at least one of weather information and traffic information corresponding to the time zone data; 15. The projection system of claim 14, further comprising transmitting at least one of the time zone data, the condition data, the weather information, and the traffic information to the artificial intelligence model.

24. 24. The projection system of claim 23, wherein the artificial intelligence model generates at least one of the standard commands and the individualized image based on the time zone data, the status data, at least one of the weather information and the traffic information, the schedule data, and the regulation commands.

25. The projection system further includes a cloud server communicatively coupled to the artificial intelligence model and the projection device; The rule command is stored in the cloud server, The projection system of claim 14, wherein the cloud server converts the standard command from the artificial intelligence model into a control code and transmits the control code to the projection device so that the projection device executes the control code to perform the operation corresponding to the schedule data.

26. The artificial intelligence model is Based on a plurality of historical schedule data of a user, a specific action performed by the user at a specific time is obtained; The projection system of claim 14, characterized in that after receiving the schedule data, if the schedule data does not include the specific action at the specific time, at least one of the standard command and the individualized image corresponding to the specific action is generated based on the specific action and the regulation command.

27. A projection device including a projection module, a communication interface, and at least one processor, The communication interface receives schedule data and at least one of standard commands and individualized images corresponding to the schedule data, the schedule data including a schedule time; the at least one processor is electrically connected to the communication interface and to the projection module; According to the standard command, perform an operation corresponding to the schedule data at the scheduled time; A projection device, characterized in that the projection device is driven to project the personalized image at the scheduled time based on the personalized image.

Images