Projection system, projection device, and control method for projection device

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 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 a 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 of adjusting the operation settings of a 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 those with common knowledge in the art can grasp. Regarding the content described in the "Background Art" paragraph, what represents the problem that the content of the "Background Art" or one or more embodiments of the present invention attempts to solve is not something that those with common knowledge in the art have already grasped or recognized 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 even clearer from the technical features disclosed herein. [Means for solving the problem]

[0007] To achieve one, part, or all of the above objectives, or any other objective, the present invention provides a method for controlling a projection device, comprising: receiving schedule data from a projection device or terminal device using an artificial intelligence model; generating at least one of a standard command and an individualized image using the artificial intelligence model based on the schedule data and rule commands; performing an operation corresponding to the schedule data using the projection device based on the standard command after the projection device has received the standard command; and projecting the individualized image using the projection device after the projection device has received the individualized image.

[0008] To achieve one, part, or all of the above objectives, the present invention provides a projection system comprising a projection device, a terminal device, and an artificial intelligence model communicated to the projection device and the terminal device, respectively, wherein 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 rule commands, when the projection device receives the standard command, the projection device performs an operation corresponding to the schedule data based on the standard command, and when the projection device receives the personalized image, the projection device projects the personalized image.

[0009] To achieve one, part, or all of the above objectives, or any other objective, the present invention provides a projection apparatus comprising a projection module, a communication interface, and at least one processor, wherein the communication interface receives schedule data and at least one of a standard command and an individualized image corresponding to the schedule data, the schedule data includes a schedule time, and the at least one processor is electrically connected to the communication interface and the projection module, performs an operation corresponding to the schedule data at the schedule time based on the standard command, and drives the projection apparatus to project the individualized image at the schedule time based on the individualized image. [Effects of the Invention]

[0010] As described above, this disclosure enables the provision of personalized reminder services, and by autonomously making dynamic adjustments based on user feedback and schedule data, it can provide a more personalized and effective experience that meets the diverse needs of users. [Brief explanation of the drawing]

[0011] [Figure 1] This is a schematic diagram of a projection system according to the first embodiment of the present invention. [Figure 2] This is a schematic diagram of a projection device according to the first embodiment of the present invention. [Figure 3] This is a flowchart of a control method for a projection device according to the first embodiment of the present invention. [Figure 4] This is a schematic diagram of a projection system according to a second embodiment of the present invention. [Figure 5] This is a schematic diagram of a projection system according to a third embodiment of the present invention. [Figure 6] This is a schematic diagram of a projection system according to a fourth embodiment of the present invention. [Figure 7A] This is a schematic diagram of an individualized image corresponding to an alarm event according to a fifth embodiment of the present invention. [Figure 7B] This is a schematic diagram of individualized images corresponding to the snooze mode according to a fifth embodiment of the present invention. [Figure 7C] This is a schematic diagram of individualized images corresponding to scheduled events according to a fifth embodiment of the present invention. [Figure 8] This is a schematic diagram of an individualized image according to the sixth embodiment of the present invention. [Figure 9] This figure shows the control process of a projection system according to the seventh embodiment of the present invention. [Figure 10] This figure shows the control process of a projection system according to the eighth embodiment of the present invention. [Modes for carrying out the invention]

[0012] The above or other technical content, features, and effects of the present invention will become apparent as shown in the detailed description of preferred embodiments with reference to the following drawings. The directional terms such as “up,” “down,” “left,” “right,” “front,” and “back” used in the following embodiments are merely descriptive terms for reference to directions when referring to the drawings, and the present invention is not limited to those indicated by these directional terms.

[0013] Figure 1 is a schematic diagram of a projection system according to a first embodiment of the present invention. As shown in Figure 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] FIG. 2 is a schematic diagram of a projection device according to a first embodiment of the present invention. As shown in FIG. 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 for the convenience of description, only one processor 210 is shown here.

[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 circuit (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), an optical element for transmitting a light beam (including 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 are executed by at least one processor 210 after being installed.

[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 a sound source line or a wireless transmission protocol such as Bluetooth.

[0020] In this embodiment, the projection system 100 may also provide a function to remotely activate the projection device 20. For example, the user may use a terminal device 30 to control the power-on and timing of the projection device 20 using a local network. The terminal device 30 is, for example, a network-enabled electronic product such as the user's smart mobile phone, smart watch, smart bracelet, tablet computer, or notebook computer.

[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 located within the projection device 20 and connected to the processor 210 of the projection device 20, or the artificial intelligence model 10 may be located within a cloud server. The memory of the cloud server or the projection device 20 is used, for example, to store the 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 a control method for the projection device described later. Figure 3 is a flowchart of a control method for the projection device according to a first embodiment of the present invention. As shown in Figures 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 rule commands, 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 (background image projected by the projection device 20).

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

[0023] Figure 4 is a schematic diagram of a projection system according to a second embodiment of the present invention. As shown in Figure 4, this embodiment is an application of the first embodiment, and the projection system 100 may further include a cloud server 40. The cloud server 40 stores rule commands. The rule commands are used to restrict the standard commands generated by the artificial intelligence model 10 to conform to operations that can be performed by the projection device 20, and to restrict the personalized images generated by the artificial intelligence model 10 to correspond to schedule data. The cloud server 40 receives at least one of the standard commands and personalized images from the artificial intelligence model 10.

[0024] The cloud server 40 includes a processor, communication equipment, and memory. The memory is used, for example, to store one or more source code fragments, and the processor is used, for example, to execute the one or more source code fragments. The communication equipment is used to communicate 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 implemented by three independent hardware devices, and 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 a single hardware device.

[0025] The projection device 20 or terminal device 30 transmits schedule data to the cloud server and transmits the received schedule data and corresponding rule commands to the artificial intelligence model 10 via the cloud server 40. Based on the schedule data and rule commands, the artificial intelligence model 10 generates at least one of a standard command and an individualized image and transmits it to the cloud server 40.

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

[0027] The cloud server 40 may, after receiving a standard command from the artificial intelligence model 10, convert the standard command into a control code and transmit the control code to the projection device 20. The standard command may include an operation to be performed and a scheduled time for performing the operation. In one embodiment, the cloud server 40 may convert the operation to be performed in the standard command into a control code that can be executed by the projection device 20 and transmit the control code to the projection device 20 at the scheduled time included in the standard command. This allows the projection device 20 to execute the control code at the scheduled time and perform the operation corresponding to the scheduled 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 a scheduled time.

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

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

[0031] The schedule data may further include schedule events, and the schedule time corresponding to a schedule event is, for example, a second designated time. Based on the schedule events and rule commands, the artificial intelligence model 10 may generate a second standard command and a second image corresponding to the schedule event. The cloud server 40 transmits the second standard command and the second image to the projection device 20 at the second designated 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 performs 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 use text control, voice control, or touch the display screen of the projection device 20 (or terminal device 30) to control the projection device 20 (or terminal device 30) so that it receives the corresponding control signal. After the projection device 20 (or terminal device 30) receives the control signal, it transmits the control signal 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 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, and after the projection device receives the third standard command, it performs a third operation based on the third standard command. The third operation includes, for example, stopping the speaker 250 from driving to emit an audio signal and driving the projection module 220 to adjust the display brightness to dim.

[0033] Figure 5 is a schematic diagram of a projection system according to a third embodiment of the present invention. As shown in Figure 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 directives include a first rule directive and a second rule directive. The natural language model 51 generates a standard directive based on the schedule data and the first rule directive. The image generation model 52 generates a personalized image based on the schedule data and the second rule directive.

[0034] The natural language model 51 may be a pre-trained chatbot such as Chat Generative Pre-trained Transformer (ChatGPT), Microsoft Bing, Google Bard, or Ernie Bot, or it may be a dedicated chatbot trained on data in a specific field. The image generation model 52 may be a pre-trained smart graph generation model such as Jasper Art, Midjourney, DALL-E2, DALL-E3, Stability AI DreamStudio, Wombo Art, 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 may be hosted on the cloud server 40 or a third-party cloud server and executed by the 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. Then, 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 51, and the natural language model 51 generates a standard command. In step S505, the cloud server 40 transmits the schedule data and the second rule command to the image generation model 52, and the image generation model 52 generates an individualized image.

[0036] In step S507, the cloud server 40 receives a standard command from the natural language model 51. In step S509, the cloud server 40 receives a personalized image from the image generation model 52. After the cloud server 40 converts the standard command into a control code that the projection device 20 can execute, in step S510, it transmits the control code and the personalized image to the projection device 20.

[0037] In one embodiment, a natural language model 51 generates a standard command based on schedule data and a first rule command, which includes instructions for the projection device 20 to project a reminder corresponding to the schedule data. An image generation model 52 generates a personalized image based on the schedule data, a second rule command, and the above-mentioned reminder.

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

[0039] For example, the first rule instruction further includes "Generate a drawing instruction that the image generation model can read based on the keywords in the schedule data." This drawing instruction is the second rule instruction. For example, if the natural language model 51 analyzes that the keywords in the schedule data are related to Christmas, the second rule instruction generated by the natural language model 51 is, for example, "Generate an image related to Christmas."

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

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

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

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

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

[0045] At 10:00 AM on Saturday, December 9, 2023, the cloud server 40 transmits an alarm image 710 and a first standard command to the projection device 20. For example, the first standard command includes instructions for the projection device 20 to perform a wake-up operation, an alarm playback operation, a brightness adjustment operation, and a desktop change operation. After the projection device 20 performs a 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 change the brightness of the light source from dim to bright. Then, it performs a desktop change operation, projects the alarm image 710, performs an alarm playback operation, and drives 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 brightness of the light source, the user can be woken up in a more natural way.

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

[0047] When the projection device 20 receives a control signal from the user indicating that they wish to enter snoot mode when an alarm sound is played, 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 rule command, converts the third standard command into a control code, and then transmits the third standard command to the cloud server 40 so that the control code can be transmitted to the projection device 20. The control signal may be a text signal, an audio signal, or a touch signal, etc. The user may transmit a command to the projection device 20 indicating that they wish to enter snoot mode by voice, text, or touch on the screen, or the user may send the command to a 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 may include, for example, instructions for the projection device 20 to change the display brightness and / or audio signal parameters. For example, speaker 250 may be prevented from continuing to play the alarm sound, and / or the brightness of projection module 220 may be reduced, and the brightness adjustment operation and alarm playback operation may be performed again after 10 minutes.

[0048] As shown in Figure 7B, in snoot mode, after the projection device 20 receives a control code corresponding to the third standard command, the processor 210 controls the projection module 220 to perform a brightness adjustment operation so that the brightness of the light source gradually increases. The reminder displayed on the alarm image 710 by the projection device 20 may include the current time 721, text information 723 corresponding to snoot mode, and the alarm image 725. This state is maintained for 10 minutes, and 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 increase, the alarm playback operation is performed, and the speaker 250 is driven to play the alarm sound effect.

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

[0050] In this embodiment, the projection system 100 may use an 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 terminal device 30 can acquire the user's current location using the Global Positioning System (GPS) and also acquire time zone data. The projection device 20 or terminal device 30 may transmit the time zone data to the cloud server 40, and the cloud server 40 acquires weather information corresponding to the time zone data based on the received time zone data. For example, in Figure 7C, the projection device 20 uses a schedule image 720 as the desktop. The reminders displayed on the schedule image 720 include the current time 731, text information 733 regarding weather information, and a schedule list 735. The text information 733 regarding weather information displays current weather information related to the user's current location, thereby allowing the user to understand the local weather conditions.

[0051] Figure 8 is a schematic diagram of an individualized image according to the sixth embodiment of the present invention. The sixth embodiment is an application example of the first embodiment. In the sixth embodiment, the user pre-sets their wake-up time to 7:00 a.m. on weekdays (Monday to Friday) using an application program on the terminal device 30 or projection device 20. The terminal device 30 or projection device 20 acquires schedule data for tomorrow (December 5, 2023) and transmits the alarm event, including the wake-up time, and subsequent schedule events to the artificial intelligence model 10 via the cloud server 40. Based on the alarm event and schedule event, the artificial intelligence model 10 generates a corresponding standard command and an individualized image 810. The cloud server 40 converts the standard command into a corresponding control code.

[0052] At 7:00 AM on Thursday, December 5, 2023 (the wake-up time set in advance by the user), the cloud server 40 transmits the personalized image 810 and control code to the projection device 20, causing the projection device to wake up. Then, the processor 210 controls the projection module 220 to perform brightness adjustment, changing the brightness of the light source from dim to bright. After that, the personalized image 810 and each reminder are projected, the alarm playback operation is performed, and the speaker 250 is driven to play the alarm sound.

[0053] As shown in Figure 8, the projection device 20 uses the personalized image 810 as its desktop. The artificial intelligence model 10 may provide relevant information for the scheduled location based on schedule data and time zone data. This relevant information may include weather information, traffic information, news information, etc., and may be obtained, for example, by searching the internet network. The rule directives of this embodiment include standard directives for the artificial intelligence model 10 to generate relevant information for the scheduled location based on schedule data and time zone data. For example, a reminder displayed on the personalized image 810 may include time 801, text information related to weather information 803, a schedule list 805, a reminder list 807 corresponding to the schedule data, and news information for the day 809.

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

[0055] The standard command may further include a command to instruct the projection device 20 to project reminders for unscheduled events. For example, the artificial intelligence model 10 acquires specific actions performed by the user at specific times based on multiple historical schedule data of the user. That is, the artificial intelligence model 10 may learn the user's daily activities or work schedule 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 a personalized image corresponding to the specific action, based on the specific action and rule commands. This allows the projection system 100 to generate a reminder based on the user's daily activities or work, project the corresponding personalized image at the specific time using the projection device 20, and perform an operation corresponding to the reminder (e.g., sending a reminder notification).

[0056] For example, if the artificial intelligence model 10 analyzes a specific activity in the historical schedule data where a certain day each month is payday, the artificial intelligence model 10 may automatically generate a reminder that today is payday and a related personalized image to be projected onto the projection device 20 on payday in the following month, even if the user does not voluntarily input a schedule event related to pay. Also, for example, if the artificial intelligence model 10 analyzes a specific activity in multiple historical schedule data where a regular health checkup is performed in a certain month each year, the artificial intelligence model 10 may automatically generate a reminder related to the health checkup for that month.

[0057] The artificial intelligence model 10 may acquire parameter settings corresponding to multiple usage states of the projection device 20 based on multiple historical schedule data. For example, the projection device 20 acquires parameter settings corresponding to movie mode and parameter settings corresponding to presentation mode. When the artificial intelligence model 10 receives schedule data, it acquires parameter settings corresponding to one usage state corresponding to the schedule data from the historical schedule data, and then generates a standard command based on the parameter settings and rule commands of the historical schedule data. For example, if 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 movie mode state data of the projection device 20, where the user 60's schedule data is for watching a movie, based on the historical schedule data. The natural language model 51 may generate a standard command (projection mode adjustment operation) to switch the projection mode of the projection device 20 to movie mode at the scheduled time corresponding to the schedule data. The parameter settings for this movie mode are, for example, the parameter settings of the relevant parameters of the projection device 20 in the movie mode in which the user 60 previously watched a movie, thereby achieving the effect of individualizing the projection mode. The cloud server 40 may associate the user 60's historical schedule data with the status data of the projection device 20 for the schedule time corresponding to the historical schedule data, and include this as the content of the first rule command. When user 60 inputs new schedule data, the first rule command is transmitted to the natural language model 51. In this embodiment, the first rule command instructs the natural language model 51 to generate a standard command for adjusting the projection mode status data of the projection device 20 based on the historical schedule data.

[0058] The projection device 20 may further transmit status data of the projection device 20 to the cloud server 40. The status data is, for example, parameters such as the brightness, chromaticity, and volume currently set for the projection device 20. Based on the received time zone data, the cloud server 40 may acquire at least one of weather information and traffic information corresponding to the time zone data. The cloud server 40 transmits 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 standard commands and personalized images based on time zone data, status data, weather information and traffic information, schedule data, and rule commands.

[0060] Traffic information may be, for example, real-time traffic data, which may be acquired by a terminal device 30, a projection device 20, or a cloud server 40. The artificial intelligence model 10 may use the real-time traffic data to generate the most efficient route for commuting on the day corresponding to the schedule data (a route with a short commute time and / or a route with few transfers). The standard command includes a command to instruct the projection device 20 to display the most efficient route. This can save the user time. Means of commuting include cars, trains, motorbikes, bicycles, or walking.

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

[0062] The artificial intelligence model 10 may provide the user with different schedule suggestion reminders depending on the situation (weekday or holiday). If 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 suggestion that includes suggested sightseeing spots and stops to improve the user's travel experience. If 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 commute route, such as the route with the shortest distance, the route with the fastest commute time, or the route with the fewest transfers.

[0063] Figure 9 shows the control process of a projection system according to a seventh embodiment of the present invention. As shown in Figure 9, in step S905, user 60 inputs schedule data. In one embodiment, user 60 launches an application program (e.g., an AI assistant application program) on the terminal device 30 and grants this application the authority to use the calendar application program and / or alarm application program of the terminal device 30 and the authority to use the location of the terminal device 30. In one embodiment, user 60 launches the voice input interface of the calendar application program and causes the processor of the terminal device 30 to launch its voice capture device (e.g., a microphone). User 60 inputs the schedule data by voice. The schedule data includes information such as participants, alarm events, schedule events, schedule time, location, and related objects related to the schedule. For example, an alarm event might be "What time to wake up". Alternatively, the schedule may be entered in text via the text input interface of the calendar application program.

[0064] Alternatively, user 60 may directly input commands to change the schedule via the voice input interface or text input interface of the AI ​​assistant application program. For example, if the scheduled alarm event is to wake up at 8:00 a.m., and the projection device 20 plays an alarm image (alarm image 710 shown in Figure 7A) and an alarm sound effect, user 60 may cause the terminal device 30 to generate a control signal to change the scheduled wake-up time and adjust the alarm playback operation to 8:10 by voice input or by tapping "Snooze Mode" in the AI ​​assistant application program. See the descriptions of Figures 7A and 7B for further details.

[0065] In step S907, the projection device 20 transmits status data to the cloud server 40. In step S910, the terminal device 30 transmits schedule data and time zone data to the cloud server 40. The terminal device 30 transmits the schedule data from the calendar application program and the status data of the projection device 20, along with the time zone data of the terminal device 30, to the cloud server 40 via the AI ​​assistant application program. In one embodiment, the terminal device 30 may be configured to transmit schedule data, time zone data, and status data to the cloud server 40 upon receiving schedule data entered by the user 60. In another embodiment, the terminal device 30 may be configured to transmit schedule data, time zone data, and status data to the cloud server 40 at regular intervals.

[0066] In step S915, the cloud server 40 transmits schedule data, time zone data, status data, and rule commands to the artificial intelligence model 10. The step of the cloud server 40 receiving and storing time zone data may be achieved by granting user 60 permission to obtain the location of the projection device 20, and the projection device 20 transmitting time zone data to the cloud server 40.

[0067] In step S920, the artificial intelligence model 10 generates standard commands and personalized images based on schedule data, time zone data, status data, and rule commands. In step S925, the artificial intelligence model 10 transmits the standard commands and personalized images 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, state data, and a first rule command, and simultaneously generates a second rule command. For example, the first rule command further includes "generate a drawing command that can be read by the image generation model based on keywords in the schedule data, time zone data, and corresponding reminders." 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 to understand the user 60's daily activities or schedule for the day and provide reminders. The first rule directive includes a directive to instruct the natural language model 51 to generate a standard directive corresponding to the reminder based on the schedule data and time zone data. For example, the standard directive generated by the natural language model 51 may cause the projection device 20 to project the day's schedule (e.g., schedule list 735 in Figure 7C, schedule list 805 in Figure 8) at the user's wake-up time, allowing the user 60 to clearly understand upcoming scheduled events.

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

[0071] For example, the natural language model 51 may determine, based on the schedule data, that Christmas is in five days, and the standard command generated by the natural language model 51 may include a command to instruct the projector 20 to project reminders such as several items best suited as Christmas presents and / or restaurants in the user 60's area that are suitable for celebrating Christmas.

[0072] For example, if the natural language model 51 determines, based on the schedule data, that a family member's birthday is in three days, the standard command generated by the natural language model 51 may include a command to instruct the projection device 20 to project reminders such as preparing a gift and / or making a 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 may include a command to instruct the projection device 20 to project a reminder to inform the user 60 to go out with a gift for the family member's birthday. If the schedule data further includes the time and place of the family member's birthday meal, the standard command may further include a command to instruct 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, based on schedule data, that user 60 will be staying in the same area today, and the standard command generated by the natural language model 51 may include a command to instruct the projection device 20 to project weather information, traffic information, and news information 809 for that area, and to generate 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 could harm local people (such as terrorist attacks or war), the natural language model 51 may generate a reminder advising not to go out today or to go out with caution.

[0074] In one embodiment, the natural language model 51 of the artificial intelligence model 10 determines the destination that user 60 will travel to today based on schedule data, retrieves weather information, traffic information, and local news for the destination, and generates reminders. For example, a standard command may include a command to instruct the projection device 20 to project the weather at the travel destination in order to help the user make an appropriate travel plan. Alternatively, the standard command may include a command to instruct the projection device 20 to project reminders of weather changes between the original location and the destination, the optimal commute route, means of transportation, and commute time.

[0075] In one embodiment, the natural language model 51 may determine, based on schedule data, that the user 60 is planning a trip, and the standard instructions generated by the natural language model 51 may include instructions to project reminders onto the projection device 20, including a proposed travel schedule, tourist destinations, and travel routes, and to generate reminders such as clothing and items suggested to be brought based on weather information for the travel locations.

[0076] In one embodiment, the natural language model 51 may modify 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, standard commands may include changing the brightness of the light source of the projection module 220 of the projection device 20 from dim to bright, and changing the volume of the alarm sound played by the projection device 20 from low to high. In this embodiment, the first rule command includes a command to instruct the natural language model 51 to generate standard commands 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 modify relevant parameters of the projection device 20's state data based on the projection device 20's state data and historical schedule data. For example, by analyzing the historical schedule data, the natural language model 51 may understand that user 60 missed the next scheduled event following the alarm event by repeatedly adjusting to "snooze mode" after the alarm sounded. In response, if there are other scheduled events following the alarm event, the natural language model 51 may automatically generate standard commands to instruct the projection device 20 to increase the brightness of the light source and the volume of the alarm sound so that user 60 does not miss the next scheduled event. In this embodiment, the first rule command includes a command to instruct the natural language model 51 to generate standard commands to adjust the alarm mode state data of the projection device 20 based on the historical schedule data. In another embodiment, the projection system 100 may sound a predetermined amount of time earlier, after obtaining the user's permission and consent, to ensure that the user can wake up in time.

[0078] In one embodiment, the natural language model 51 may modify relevant parameters of the state data of the projection device 20 based on the state data and time zone data of the projection device 20. For example, if the natural language model 51 analyzes that the local time zone is currently nighttime, the standard command generated by the natural language model 51 may include a command to instruct the projection module 220 of the projection device 20 to reduce its display brightness. In this embodiment, the first rule command includes a command to instruct the natural language model 51 to generate a standard command to adjust the state data of the projection mode of the projection device 20 based on the state data and time zone data.

[0079] The image generation model 52 may generate personalized images based on keywords in the schedule data and time zone data. In this embodiment, the second rule directive includes a directive to instruct the image generation model 52 to generate personalized images based on the schedule data and time zone data, the personalized images corresponding to the day's schedule or an upcoming important holiday. For example, if an alarm event included in the schedule data is set to wake up at 8:00 a.m., the image generation model 52 generates a personalized image that is a landscape image corresponding to the weather in the local time zone. For example, if a schedule event included in the schedule data is set to have a meeting at 2:00 p.m., the image generation model 52 generates a personalized image that is an image corresponding to the circumstances of that meeting. For example, if a schedule event included in the schedule data is set to be a trip to a certain place, the image generation model 52 generates a personalized image that has local landmarks of the trip.

[0080] In one embodiment, the natural language model 51 may communicate with an image generation model 52. The image generation model 52 may further generate personalized images according to reminders generated by the natural language model 51. In this embodiment, the second rule directive includes directives for instructing the image generation model 52 to generate personalized images according to schedule data, time zone data, and reminders included in the standard directive. 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 payday.

[0081] Returning to Figure 9, in step S930, the cloud server 40 converts the received standard command 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 perform the corresponding operation and projects the personalized image.

[0082] Figure 10 shows the 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, user 60 inputs schedule data to projection device 20 using an input device (e.g., keyboard, remote control, or on-screen display (OSD)). In step S1010, projection device 20 transmits schedule data, time zone data, and status data to cloud server 40. In step S1015, cloud server 40 transmits schedule data, time zone data, status data, and rule commands (first rule command and second rule command) to artificial intelligence model 10.

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

[0084] In other embodiments, when the projection device 20 is powered 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, in steps S601 to S609 shown in Figure 6, schedule data supplied from the terminal device 30 is transmitted to the artificial intelligence model 10 via the cloud server 40, the artificial intelligence model generates standard commands and / or personalized images, and then the control codes and / or personalized images converted by the standard commands are transmitted to the projection device 20 via the cloud server 40 to start the projection device 20 to perform the corresponding operation. Next, as in steps S501 to S510 shown in Figure 5, the projection device 20 may be provided with schedule data and its operation may be controlled.

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

[0086] According to the above embodiment, the following advantages are available.

[0087] 1. The smart alarm clock's functions can be optimized. The projection system can analyze the user's schedule data and understand the user's work and activity times. Based on this information, the projection system can automatically generate standard commands at appropriate times and adjust the projection device's parameter settings (power / brightness / sound) to ensure the user does not miss important events or takes a good break.

[0088] 2. The sound can be optimized. The projection system can analyze the user's various sound preferences and further optimize the playback sound effects of the projection device.

[0089] 3. 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 to wake the user in a more natural way. The projection system can record the user's response to the lighting (for example, whether the user issues commands to change the projection or brightness) and adjust to the optimal brightness mode.

[0090] 4. Personalized images 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 understand that the user frequently visits the zoo and infer that the user likes animals. This allows the projection system to generate personalized images based on a positive prompt such as "the user likes animals."

[0091] The above are merely preferred embodiments of the present invention, and the scope of implementation of the present invention is not limited thereto. Any modifications and modifications are possible by those skilled in the art based on the claims and specification of the present invention, and the scope of protection of the present invention is based on the claims. Furthermore, none of the embodiments or claims of the present invention necessarily have to realize all of the purposes, advantages, or features disclosed by the present invention. In addition, the abstract and the title of the invention are merely for the purpose of assisting in the search of patent documents and do not limit the scope of rights of the present invention. Furthermore, terms such as "first," "second," etc. in this specification or the claims are merely for naming elements or distinguishing different embodiments or scopes, and do not limit the upper or lower limit of the number of components. [Explanation of symbols]

[0092] 100: Projection System 10: Artificial Intelligence Models 20: Projection device 30: Terminal device 40: Cloud Server 51: Natural Language Models 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: Reminderlist 809: News Information 810: Individualized images S305~S320: Step S501~S510: Step S601~S609: Step S905~S940: Step S1005~S1040: Step

Claims

1. The steps include: receiving schedule data from a projection device or terminal device using an artificial intelligence model; The steps include generating at least one of a standard command and an individualized image using the artificial intelligence model based on the schedule data and rule commands, The steps include: after the projection device receives the standard command, the projection device performs an operation corresponding to the schedule data based on the standard command; The projection device includes the step of projecting the personalized image after it has received the personalized image, The aforementioned artificial intelligence model includes a natural language model and an image generation model. The aforementioned rules and directives include the first rules and directives and the second rules and directives, The step of 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 is: A step of generating the standard command using the natural language model based on the schedule data and the first rule command, A method for controlling a projection apparatus, comprising the step of generating the individualized image using the image generation model based on the schedule data and the second rule instruction.

2. The step of receiving the schedule data from the projection device or the terminal device using the artificial intelligence model is: A step of transmitting the schedule data to a cloud server via the projection device or the terminal device, wherein the cloud server stores the rule command; A method for controlling a projection device according to claim 1, comprising the step of transmitting the schedule data and the rule commands to the artificial intelligence model via the cloud server.

3. The step of 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 is: A step of generating the standard command corresponding to the reminder using the natural language model based on the schedule data and the first rule command, A method for controlling a projection apparatus according to claim 1, comprising the step of generating the personalized image using the image generation model based on the reminder, the schedule data, and the second rule instruction.

4. The aforementioned schedule data includes the schedule time, The control method for the projection device is as follows: The steps include receiving the standard command and the personalized image via a cloud server, The method for controlling a projection device according to claim 1, further comprising the step of transmitting the standard command and the individualized image to the projection device via the cloud server at the scheduled time corresponding to the schedule data.

5. The aforementioned schedule data includes at least one of an alarm event and a schedule event. The step of 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 is: The steps include generating a first standard command and a first image corresponding to the alarm event using the artificial intelligence model based on the alarm event and the rule command, The step includes generating a second standard command and a second image corresponding to the scheduled event using the artificial intelligence model, based on the scheduled 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 scheduled time corresponding to the schedule data is: A step of 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 the projection device receives the first standard command and the first image, projecting the first image and performing a first operation based on the first standard command, wherein the first operation includes driving a speaker to emit an audio signal and driving a projection module to adjust the display brightness. A method for controlling a projection device according to claim 4, comprising the steps of: 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 scheduled event; the projection device receiving 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 scheduled event.

6. After the projection device has performed the operation based on the standard command, The projection device or the terminal device receives the control signal and then transmits the control signal to the artificial intelligence model via the cloud server. The steps include generating a third standard command using the artificial intelligence model based on the control signal and the rule command, and transmitting the third standard command to the cloud server, The method for controlling a projection device according to claim 5, further comprising the steps of transmitting the third standard command to the projection device via the cloud server, and after the projection device receives the third standard command, performing a third operation based on the third standard command.

7. The steps of receiving schedule data from a projection device or terminal device using an artificial intelligence model, The steps include generating at least one of a standard command and an individualized image using the artificial intelligence model based on the schedule data and rule commands, The steps include: after the projection device receives the standard command, the projection device performs an operation corresponding to the schedule data based on the standard command; The projection device includes the step of projecting the personalized image after it has received the personalized image, The method further includes the step of obtaining parameter settings corresponding to each of the multiple usage states of the projection device using the artificial intelligence model, The step of generating the standard command using the artificial intelligence model based on the schedule data and rule command is: A method for controlling a projection device, comprising the steps of: obtaining the parameter setting content corresponding to one of the plurality of usage states that correspond to the schedule data; and generating the standard command using the artificial intelligence model based on the parameter setting content and the rule command.

8. The control method for a projection device according to claim 1, characterized in that the operation includes at least one of the following: wake-up operation, alarm playback operation, brightness adjustment operation, projection mode adjustment operation, reminder playback operation, and desktop change operation.

9. A step of receiving schedule data from a projection device or terminal device using an artificial intelligence model, The steps include generating at least one of a standard command and an individualized image using the artificial intelligence model based on the schedule data and rule commands, The steps include: after the projection device receives the standard command, the projection device performs an operation corresponding to the schedule data based on the standard command; The projection device includes the step of projecting the personalized image after it has received the personalized image, The steps include transmitting time zone data and status data of the projection device to a cloud server via the projection device or the terminal device, The cloud server obtains at least one of weather information and traffic information corresponding to the time zone data based on the time zone data received, The further step includes 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, The step of 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 is: A method for controlling a projection device, comprising the step of generating at least one of the standard command and the individualized image using an artificial intelligence model based on the time zone data, the status data, the weather information and the traffic information, the schedule data and the rule command.

10. The cloud server receives the standard command from the artificial intelligence model, then converts the standard command into a control code, and transmits the control code to the projection device. The method for controlling a projection device according to claim 1, further comprising the step of having the projection device execute the control code after it has received the control code, so as to perform the operation corresponding to the schedule data.

11. The steps of obtaining a specific action performed by a user at a specific time using the artificial intelligence model, The method for controlling a projection device according to claim 1, further comprising the step of: if the artificial intelligence model receives the schedule data and 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.

12. A projection system comprising a projection device, a terminal device, and artificial intelligence models communicated 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 based on the schedule data and rule commands. When the projection device receives the standard command, the projection device performs 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 aforementioned rules and directives include the first rules and directives and the second rules and directives, The aforementioned artificial intelligence model includes a natural language model and an image generation model. The natural language model generates the standard command based on the schedule data and the first rule command. The projection system is characterized in that the image generation model generates the individualized image based on the schedule data and the second rule instruction.

13. The projection system further includes the artificial intelligence model, the projection device, and a cloud server connected to the terminal device via communication, The aforementioned cloud server stores the aforementioned rule commands, The projection system according to claim 12, characterized in that the cloud server transmits the rule commands and the schedule data from the projection device or the terminal device to the artificial intelligence model.

14. The natural language model generates the standard command corresponding to the reminder based on the schedule data and the first rule command. The projection system according to claim 12, characterized in that the image generation model generates the individualized image based on the reminder, the schedule data, and the second rule instruction.

15. The aforementioned schedule data includes the schedule time, The projection system further includes the artificial intelligence model and a cloud server connected to the projection device, The aforementioned cloud server stores the aforementioned rule commands, The projection system according to claim 12, characterized in that 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.

16. The aforementioned 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 a first standard command and a first image corresponding to the alarm event based on the alarm event and the rule command, and generates a second standard command and a second image corresponding to the schedule event based on the schedule event and the rule command. The aforementioned cloud server is The projection device transmits 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 emit an audio signal and driving the projection module to adjust the display brightness. The projection system according to claim 15, wherein the projection device transmits the second standard command and the second image to the projection device at a second designated 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 comprising driving the projection module to adjust the display brightness and projecting a reminder corresponding to the scheduled event.

17. After the projection device or the terminal device receives the control signal, it transmits the control signal 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 according to claim 16, characterized in that the cloud server transmits the third standard command to the projection device so that the projection device performs the third operation based on the third standard command.

18. A projection system comprising a projection device, a terminal device, and artificial intelligence models communicated 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 based on the schedule data and rule commands. The projection device, When the aforementioned standard command is received, the operation corresponding to the schedule data is executed based on the aforementioned standard command. When the personalized image is received, the personalized image is projected, The artificial intelligence model, The parameter settings corresponding to each of the multiple usage states of the projection device are acquired. A projection system characterized by obtaining the parameter setting content corresponding to one of the plurality of usage states corresponding to the schedule data, and then generating the standard command based on the parameter setting content and the rule command.

19. The projection system according to claim 12, characterized in that the operation includes at least one of the following: wake-up operation, alarm playback operation, brightness adjustment operation, projection mode adjustment operation, reminder playback operation, and desktop change operation.

20. A projection system comprising a projection device, a terminal device, and artificial intelligence models communicated 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 based on the schedule data and rule commands. The projection device, When the aforementioned standard command is received, the operation corresponding to the schedule data is executed based on the aforementioned standard command. When the personalized image is received, the personalized image is projected, The projection system further includes the artificial intelligence model, the projection device, and a cloud server connected to the terminal device via communication, The aforementioned cloud server stores the aforementioned rule commands, The aforementioned cloud server is The projector or terminal device receives time zone data and status data of the projector. Based on the received time zone data, at least one of weather information and traffic information corresponding to the time zone data is obtained. At least one of the time zone data, the status data, the weather information, and the traffic information is transmitted to the artificial intelligence model. The projection system is characterized in that the artificial intelligence model generates at least one of the standard command and the individualized image based on the time zone data, the state data, the weather information and the traffic information, the schedule data and the rule command.

21. The projection system further includes the artificial intelligence model and a cloud server connected to the projection device, The aforementioned cloud server stores the aforementioned rule commands, The projection system according to claim 12, characterized in that the cloud server converts the standard commands from the artificial intelligence model into control codes and transmits the control codes to the projection device so that the projection device executes the control codes to perform the operations corresponding to the schedule data.

22. The artificial intelligence model, By obtaining specific actions performed by a user at a specific time, The projection system according to claim 12, characterized in that, after receiving the schedule data, if the schedule data does not include the specific act at the specific time, it generates at least one of the standard command and the individualized image corresponding to the specific act based on the specific act and the rule command.

23. A projection device comprising 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 an individualized image corresponding to the schedule data, and the schedule data includes a schedule time. The at least one processor is electrically connected to the communication interface and the projection module. Based on the standard command, the operation corresponding to the schedule data is performed at the scheduled time. Based on the personalized image, the projection device is driven to project the personalized image at the scheduled time. The projection device is connected to the artificial intelligence model via communication, The aforementioned artificial intelligence model includes a natural language model and an image generation model. The aforementioned standard directive is generated by the aforementioned natural language model, The projection device is characterized in that the individualized image is generated by the image generation model.

Images