Indication device

Abstract

To provide a display device that simplifies operations for customization and enables the customization in conformity with preferences of various users.SOLUTION: A display device includes a display unit 110 for displaying an image 10 and a display control unit 111 for controlling a display state of the image, and customizes the image in conformity with preferences of a user. The display device includes: a storage unit 121 provided in a cloud 120 on the Internet and storing data of a large number of preference images for coping with the preferences of the user as big data; and an AI learning unit 122 provided in the cloud, and learning and setting a customized image in which the entire image is customized from the data of the preference images, based on preference information of the user input from a mobile terminal 130 carried by the user in conformity with the preference information so as to provide it to the display control unit.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present disclosure relates to a display device that enables customization of display images.

Background Art

[0002] As a display device, for example, the one described in Patent Document 1 is known. In the display device (screen customization method) of Patent Document 1, for example, a liquid crystal display that displays various meter parts (speedometer, water temperature gauge, fuel gauge, etc.) as images, a microcomputer and a graphic controller that control the display state of the liquid crystal display, and an operation terminal that receives a user's input operation for changing the display form of various meter parts are provided.

[0003] The microcomputer is provided with a customization data memory in which customization data is stored in advance and a memory area for storing the latest information after customization. Also, the microcomputer and the operation terminal are communicable.

[0004] When the user customizes the display form of various meter parts, the user selects and inputs preferred data from the customization data at the operation terminal. The selected preferred data is transmitted to the microcomputer. Then, the microcomputer and the graphic controller change the display form of various meter parts based on the transmitted preferred data and display it on the liquid crystal display. The changed various data is updated as the latest information and stored in the memory area.

[0005] Thereby, in Patent Document 1, it is stated that screen customization can be easily realized with a simple operation on the user side and the burden of data processing associated with screen customization can be reduced.

Prior Art Documents

Patent Documents

[0006]

Patent Document 1

[0007] However, while Patent Document 1 claims that the display screen can be easily customized with simple user operations, in reality, the user must select their preferred data and manually input it one by one, which is cumbersome. Furthermore, since the display screen customization is based on data pre-stored in a customization data memory, there are limitations to the customization modification patterns, and it is not possible to accommodate diverse user preferences.

[0008] In view of the above-mentioned problems, the purpose of this disclosure is to provide a display device that simplifies the operation for customization and enables customization to suit the preferences of a variety of users. [Means for solving the problem]

[0009] To achieve the above objectives, this disclosure employs the following technical means.

[0010] This disclosure includes a display unit (110) that displays an image (10), It includes a display control unit (111) that controls the display state of the image, A display device that customizes images to suit the user's preferences, A storage unit (121) located in a cloud (120) on the internet stores a large amount of preference image data as big data to accommodate user preferences, A system is established in the cloud, and based on user preference information entered from a mobile terminal (130) carried by the user, it creates a customized image by customizing the entire image to match the preference information from the data of preferred images. Set Certainly, Multiple customized images are output to the mobile device, and the customized image approved by the user based on their selection is displayed. Provided to the display control unit Furthermore, the system learns customized images approved by the user based on their selections as customized images that match the user's preferences. It comprises a learning unit (122) and a

[0011] According to this disclosure, the entire display image is customized based on user preference information learned by the learning unit and provided to the display control unit, enabling display on the display unit, thus simplifying the customization process.

[0012] Furthermore, the data for preference images used to accommodate user preferences is stored as big data in cloud storage, and by using this preference image data, it becomes possible to customize the system to suit the diverse preferences of users.

[0013] The symbols in parentheses in the above-mentioned means indicate their correspondence to the specific means described in the embodiments below. [Brief explanation of the drawing]

[0014] [Figure 1] This is an explanatory diagram showing the overall configuration of the display device in the first embodiment. [Figure 2] This is an explanatory diagram showing an example of a normal display pattern. [Figure 3] This is an explanatory diagram showing examples of pattern images corresponding to preferences for safe driving. [Figure 4] This is an explanatory diagram showing examples of pattern images that correspond to preferences for sporty driving. [Figure 5] This is an explanatory diagram showing an example of a pattern image that corresponds to a preference for eco-driving. [Figure 6] This is an explanatory diagram showing the overall configuration of the display device in the second embodiment. [Modes for carrying out the invention]

[0015] Hereinafter, a plurality of embodiments for implementing the present disclosure will be described with reference to the drawings. In each embodiment, the same reference numerals may be assigned to portions corresponding to those described in the preceding embodiments, and redundant descriptions may be omitted. When only a part of the configuration is described in each embodiment, other embodiments described previously can be applied to other parts of the configuration. Not only combinations of parts that are explicitly stated to be combinable in each embodiment, but also embodiments can be partially combined with each other without particular hindrance to the combination.

[0016] (First Embodiment) The display device 100 of the first embodiment is shown in FIGS. 1 to 5. The display device 100 is mounted on a vehicle, for example. The display device 100 is applied to a combination meter that displays various vehicle information as an image 10 to a user (driver), for example. The display device 100 can customize the image 10 to suit the user's preference.

[0017] As shown in FIG. 1, the display device 100 includes a display unit 110 and a display control unit 111. In the display device 100, based on the user's preference information input from the portable terminal 130 carried by the user, the data of the preference image in the storage unit 121 provided in the cloud 120 on the Internet and the learning function of the AI learning unit 122, the entire image 10 is set as a customized image 10 (customized image) and provided to the display control unit 111.

[0018] The display unit 110 is provided above the dashboard of the vehicle and is arranged at a position facing the user or at the central position in the left - right direction of the dashboard, etc. The display surface 110a of the display unit 110 is arranged to be in a standing posture (vertical direction posture). The display unit 110 is a part that displays various vehicle information to the user. For example, a TFT (Thin Film Transistor) liquid crystal display using a thin - film transistor with a backlight as a light source is used. Note that the display unit 110 is not limited to a TFT liquid crystal display, and other types of displays such as an organic EL (Electro Luminescence) display composed of a layered structure using organic compounds may also be used.

[0019] For example, as shown in FIG. 2, the display unit 110 displays an image 10 indicating various vehicle information on the display surface 110a. Examples of the various vehicle information include, for example, a speedometer 11, a tachometer 12, a water temperature gauge 13, a fuel level gauge 14, a fuel consumption gauge 15, a shift position 16, an eco - display gauge 17 (FIG. 5), an operation lamp 18 of a vehicle function unit (such as an automatic brake, antilock, anti - skid, etc.), and a warning lamp 19, etc. (normal form). In FIG. 2, for simplicity of explanation, in reality, as the various vehicle information in the image 10, for example, about several tens of types (about 20 - 30) are prepared.

[0020] The display control unit 111 is a part that controls the display state of the image 10 in the display unit 110. The display control unit 111 can communicate with an AI learning unit 122 on the cloud, which will be described later, via the Internet.

[0021] In addition, the display control unit 111 is connected to a vehicle control unit 5 that controls each function unit of the vehicle via, for example, an in - vehicle LAN or the like. Information on the driving situation of the vehicle obtained by various vehicle sensors 6 provided in the vehicle control unit 5 and an operation signal indicating the operation state of the vehicle function unit are input to the display control unit 111. The display control unit 111 forms an image 10 indicating various vehicle information to be displayed from the information on the driving situation and the operation signal, etc., and controls the display state in the display unit 110.

[0022] Vehicle sensors 6 include, for example, a vehicle speed sensor, a rotation speed sensor, a water temperature sensor, a fuel level sensor, and a shift sensor. The sensor signals obtained by vehicle sensors 6 provide information about the driving conditions. In addition, operating signals indicating the operating status of vehicle function units include, for example, setting-on signals for functions such as automatic braking, anti-lock braking, and anti-skid control, or signals indicating that these functions are in operation.

[0023] The storage unit 121 on the cloud 120 is a part that stores a large amount of preference image data as big data in advance to accommodate the preferences of a large number of users. The preference image data is formed, for example, as multiple pattern images that can accommodate the preferences of a large number of users.

[0024] The pattern image defines the overall design (image form) of the image 10 in the display unit 110. For example, in addition to the normal form shown in Figure 2, patterns are prepared according to user preferences such as "safe driving," "sports driving," and "eco driving." Furthermore, each pattern image has different variations in the display shape, size, arrangement, and color of various vehicle information.

[0025] For example, as shown in Figure 3, the "safe driving" image 10 pattern has been prepared in which, compared to the normal form, the speedometer 11 is made a relatively conspicuous color, the indicator lights 18 for vehicle functions related to safe driving (automatic braking, anti-lock, anti-skid control, etc.) are kept constantly on, and the overall background color is a subdued color.

[0026] Furthermore, for example, the pattern for "sports driving" (image 10) is prepared in which, compared to the normal configuration, the tachometer 12 is made larger and placed in the center, and is made in a relatively conspicuous color such as orange, while the speedometer 11 is made smaller (digital display) and placed on the right side.

[0027] Furthermore, for example, the "eco-driving" pattern in image 10, as shown in Figure 5, is a pattern in which a large eco-display meter 17 is placed in the center, the overall color scheme is green or similar to evoke an eco-friendly image, and the speedometer 11 is made smaller (digital display) and placed on the right side, compared to the normal configuration. The eco-display meter 17 displays, for example, a fuel consumption meter 15 (instantaneous fuel consumption, average fuel consumption, etc.) and an eco-driving level (number of green leaves).

[0028] Furthermore, for each of the above patterns, sub-patterns are also prepared, which are variations in the detailed shape, size, arrangement, color, etc., of each part. A priority order has been assigned to each pattern and sub-pattern.

[0029] The AI ​​learning unit 122 on the cloud 120 learns and sets an image 10 customized to match the user's preferences based on the user's preference information input from the user's mobile terminal 130, using data of preferred images (various patterns and sub-patterns), and provides it to the display control unit 111. The AI ​​learning unit 122 corresponds to the learning unit in this disclosure.

[0030] The mobile terminal 130 is a communication device carried by the user, and can be a smartphone, tablet, or personal computer. In this example, a smartphone is used as the mobile terminal 130. The mobile terminal 130 has an application pre-installed for customizing the image 10 on the display unit 110, and is capable of communicating (accessing via the internet) with the AI ​​learning unit 122 on the cloud 120.

[0031] The mobile terminal 130 allows for the input of preference information for customizing image 10, and the selection input (approval) of various patterns and subpatterns of image 10 that have been customized (learned) by the AI ​​learning unit 122.

[0032] The configuration of the display device 100 is as described above, and the operation and effects of the display device 100 will be explained below.

[0033] First, the user launches an application for customizing the mobile device 130 and enters their personal attributes (age, gender, etc.) and preferences. The preferences information indicates the user's preferences for the design of image 10 using simple word expressions such as "safe," "sports," and "eco." Alternatively, in addition to the simple word expressions mentioned above, the preferences information may also include additional expressions such as "calm," "flashy," "stylish," and "cute."

[0034] User preference information is transmitted from the mobile terminal 130 to the AI ​​learning unit 122 on the cloud 120. Based on the preference information entered by the user, the AI ​​learning unit 122 learns and sets an image 10 (for example, one of the pattern images in Figures 3 to 5) that has been customized to match the preference information from the preference image data in the memory unit 121. At this time, the AI ​​learning unit 122 may also learn and set several other (multiple) sub-pattern images in order of priority as the customized image 10, in addition to the pattern image.

[0035] The AI ​​learning unit 122 then sends the trained and configured customized image 10 (pattern image, or pattern image and subpattern image) to the user's mobile terminal 130 as a corresponding sample. The user checks the corresponding sample on the mobile terminal 130 and makes an approval (or rejection) input. As described above, by preparing the corresponding sample to include multiple subpattern images, the AI ​​learning unit 122 makes it easier to obtain approval based on the user's selection.

[0036] The approved pattern images (or sub-pattern images) are stored in the memory unit 121 and used by the AI ​​learning unit 122 for learning the next customization.

[0037] When the user approves the input on the mobile terminal 130, the display control unit 111 downloads the approved preference image data (pattern image data) from the AI ​​learning unit 122 and displays the customized image 10 on the display unit 110.

[0038] As described above, according to this embodiment, the entire image 10 to be displayed is customized based on the user's preference information learned by the AI ​​learning unit 122, and provided to the display control unit 111, enabling display on the display unit 110. This simplifies the customization process compared to inputting settings for each individual display item image one by one.

[0039] Furthermore, data of preference images to accommodate user preferences is stored as big data in the storage unit 121 on the cloud 120, and by using this preference image data, it becomes possible to customize the system to suit the diverse preferences of users.

[0040] Furthermore, the AI ​​learning unit 122 outputs the customized image 10 (corresponding sample) to the mobile terminal 130 and provides it to the display control unit 111 after obtaining user approval. This enables customization that is satisfactory to the user.

[0041] Furthermore, the AI ​​learning unit 122 learns and sets multiple customized images 10, outputs multiple customized images 10 to the mobile terminal 130, and obtains user approval based on the selection. This allows the user to easily set images 10 that suit their preferences.

[0042] (Second Embodiment) Figure 6 shows the display device 100A of the second embodiment. In the display device 100A of the second embodiment, the AI ​​learning unit 122 obtains information on driving conditions from the vehicle control unit 5 and learns and sets customized images 10 by taking into account the driving conditions information in addition to the user's preference information.

[0043] For example, based on driving conditions, the AI ​​learning unit 122 can determine to some extent the user's driving tendencies, such as whether the user consistently drives calmly (safely) without sudden acceleration or braking, or whether the user frequently accelerates suddenly and drives in a sporty manner.

[0044] Therefore, the AI ​​learning unit 122 stores (accumulates) information on actual driving conditions in addition to preference information input from the user's mobile terminal 130 in the memory unit 121, and utilizes this information for customization, thereby enabling the formation of a customized image 10 that better matches the user's preferences.

[0045] (Other embodiments) The disclosures in this specification and drawings are not limited to the exemplary embodiments. The disclosures include the exemplary embodiments and variations thereof by those skilled in the art. For example, the disclosures are not limited to combinations of parts and / or elements shown in the embodiments. The disclosures are implementable in a variety of combinations. The disclosures may have additional parts that can be added to the embodiments. The disclosures include embodiments in which parts and / or elements have been omitted. The disclosures include substitutions or combinations of parts and / or elements between one embodiment and another. The scope of the disclosed technical areas is not limited to the descriptions of the embodiments. Some of the scope of the disclosed technical areas are indicated by the claims and should be understood to include all modifications within the meaning and scope equivalent to the claims.

[0046] Furthermore, although the above embodiments described an example in which the display unit 110 is applied to a vehicle's combination meter, it is not limited to this and may also be applied to a head-up display device, a car navigation system, or a vehicle air conditioning system, etc. [Explanation of Symbols]

[0047] 6. Vehicle Sensors 10 images 100 display device 110 Display section 111 Display Control Unit 120 Cloud 121 Storage section 122 AI Learning Department (Learning Department) 130 Mobile devices

Claims

1. A display unit (110) that displays an image (10), The system includes a display control unit (111) that controls the display state of the image, A display device that customizes the aforementioned image to suit the user's preferences, A storage unit (121) located in a cloud (120) on the internet stores a large amount of preference image data as big data to correspond to the user's preferences, A display device comprising: a cloud-based device that, based on user preference information input from a mobile terminal (130) carried by the user, sets a customized image by customizing the entire image from the data of the preferred image to match the preference information, outputs a plurality of the customized images to the mobile terminal, provides the customized image approved by the user based on selection to the display control unit, and learns the customized image approved by the user based on selection as a customized image that matches the user's preferences.

2. The display control unit displays the image on the display unit based on information about the vehicle's driving status obtained from the vehicle sensor (6). The display device according to claim 1, wherein the learning unit obtains information on the driving conditions and sets the customized image by taking into account the driving conditions information in addition to the preference information.

Images