Household medication auxiliary device

Abstract

The utility model discloses a household medicine taking auxiliary device which comprises a neural network controller and a database connected with the neural network controller. The household medicine taking auxiliary device further comprises a base, a connecting rod, a shell, a touch display screen, a timing module, a voice broadcast module, a recognition camera and a medicine placing tray. Wherein the shell is arranged above the base, and the shell is connected with the base through a connecting rod; the neural network controller, the database, the timing module and the voice broadcast module are all arranged in the shell, the touch display screen is arranged on the side wall of the shell, and the recognition camera is arranged on the lower surface of the shell; the touch display screen, the timing module, the voice broadcast module and the recognition camera are electrically connected with the neural network controller; and the medicine placing tray is arranged on the base. The system is based on the neural network technology and is used for assisting the elderly at home to accurately take medicine on time.

Description

Technical Field

[0001] This utility model relates to the field of medical auxiliary products technology, and in particular to a home medication auxiliary device. Background Technology

[0002] For some elderly people living at home, due to memory decline, multiple medications, etc., it is easy to have problems such as taking the wrong medication or missing a dose. For example, some elderly people always forget to take their medication, or they take the medication and then forget whether they have taken it or not. For elderly people with poor eyesight, it is easy to take the wrong medication.

[0003] In existing technologies, artificial neural networks are simply referred to as neural networks or connection models. They are a mathematical model of algorithms that mimics the behavioral characteristics of animal neural networks to perform distributed parallel information processing. This type of network relies on the complexity of the system to achieve the purpose of processing information by adjusting the interconnection relationships between a large number of internal nodes. In recent years, it has been widely used in various industries. This technology has also been applied in existing patents. For example, the national patent with patent publication number CN219246104U applies artificial neural networks.

[0004] Therefore, this utility model provides a home medication assistance device based on neural networks to help elderly people take their medication on time and accurately. Utility Model Content

[0005] The technical problem to be solved by this utility model is to provide a home medication assistance device based on neural network technology to help elderly people at home take their medication on time and accurately.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution:

[0007] A home medication assistance device includes a neural network controller and a database connected to the neural network controller. Its distinguishing feature is that the home medication assistance device also includes a base, a connecting rod, a housing, a touch screen, a timing module, a voice broadcast module, a recognition camera, and a medicine tray. The housing is positioned above the base, and the housing and base are connected via the connecting rod. The neural network controller, database, timing module, and voice broadcast module are all housed within the housing. The touch screen is located on the side wall of the housing, and the recognition camera is located on the lower surface of the housing. The touch screen, timing module, voice broadcast module, and recognition camera are all electrically connected to the neural network controller. The medicine tray is positioned on the base.

[0008] The beneficial effects of this utility model are:

[0009] This utility model provides a home medication assistance device. Family members input the medication time slots, the type and quantity of medication the elderly person needs to take during each time slot into a neural network controller via a touchscreen display. The neural network controller then controls the timing module to start timing. When a medication time slot is reached, the neural network controller activates the voice broadcast module to remind the elderly person to take their medication. The elderly person then uses a medicine tray to collect the medication for that time slot. After collecting the medication, the elderly person places the medicine tray under a recognition camera. The recognition camera identifies and photographs the medication in the tray and sends the image information to the neural network controller. The neural network controller identifies the quantity of medication and compares the color, shape, and size of the medication with standard reference objects in a database to determine if the quantity and type of medication in the tray are correct. If correct, the controller activates the voice broadcast module to announce that the medication can be taken. If incorrect, it announces medication error, overdose, or missing medication to remind the elderly person to change, remove, or replenish the medication. Thus, this home medication assistance device can help elderly people take their medication on time and accurately. Attached Figure Description

[0010] Figure 1 This is a structural schematic diagram of an embodiment of the present utility model.

[0011] Figure 2 This is a schematic diagram of the structure of the medicine tray in the boss state according to an embodiment of the present invention.

[0012] Figure 3 This is a circuit connection diagram of an embodiment of the present invention.

[0013] The following components are labeled in the diagram: 1. Neural network controller; 2. Database; 3. Base; 31. Boss; 4. Connecting rod; 5. Housing; 51. Charging port; 6. Touch screen; 7. Timing module; 8. Voice broadcast module; 9. Recognition camera; 10. Medicine tray; 101. Handle; 20. Network module. Detailed Implementation

[0014] The present invention will now be described in conjunction with the accompanying drawings. The specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention. Various modifications and improvements to the technical solutions of the present invention made by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope of the present invention.

[0015] like Figures 1 to 3 As shown, the home medication assistance device of this embodiment includes a neural network controller 1, a database 2, a base 3, a connecting rod 4, a housing 5, a touch screen 6, a timing module 7, a voice broadcast module 8, a recognition camera 9, and a medicine tray 10.

[0016] The outer casing 5 is positioned above the base 3, and the outer casing 5 and the base 3 are connected by connecting rods 4. In this embodiment, two connecting rods 4 are provided between the outer casing 5 and the base 3, and the two connecting rods 4 are respectively located on both sides of the base 3.

[0017] The neural network controller 1, database 2, timing module 7, and voice broadcast module 8 are all housed within the housing 5. The touchscreen display 6 is located on the side wall of the housing 5, and the recognition camera 9 is located on the lower surface of the housing 5. The touchscreen display 6, timing module 7, voice broadcast module 8, and recognition camera 9 are all electrically connected to the neural network controller 1. The medicine tray 10 is mounted on the base 3.

[0018] In this embodiment, the neural network controller 1 and the database 2 are connected via a USB data cable. The database 2 stores the appearance characteristics of various drugs, such as color, shape, and size, which serve as standard references. The neural network controller 1, connected to the database 2, can perform distributed parallel information processing. By adjusting the interconnections between a large number of internal nodes, it achieves the purpose of information processing. The neural network controller 1 in this embodiment has an internal memory for programming, allowing computer programs to be written in. It can execute instructions for stored logical operations, sequential control, and arithmetic operations, and has data input / output pins (I / O pins), a USB interface, and an RS232 interface for connecting to other electronic components.

[0019] In this embodiment, the touch display screen 6 is an MT500 touch display screen, which is connected to the RS2323 interface of the neural network controller 1 via an RS232 data cable, thereby realizing communication between the two.

[0020] The timing module 7 in this embodiment includes a DS1302 timing chip and peripheral circuitry. The SCLK pin, I / O pin, and CE pin of the DS1302 timing chip are electrically connected to the I / O pin of the neural network controller 1, respectively. The timing module 7 can realize the timing function.

[0021] The voice broadcast module 8 in this embodiment includes an ISD2560 voice chip and a speaker. The speaker is represented by SPEAK in the circuit. The A2 to A9 pins, P / R pin, EOM pin, PD pin and CE pin of the ISD2560 voice chip are electrically connected to the I / O pins of the neural network controller 1, respectively. The voice broadcast module 8 can broadcast voice, and the voice is emitted through the speaker.

[0022] In this embodiment, the recognition camera 9 is a USB camera. The recognition camera 9 is connected to the USB interface of the neural network controller 1 via a USB data cable, thereby realizing communication between the two.

[0023] A power module is installed inside the outer casing 5, which supplies power to various components. A charging port 51 for charging the power module is provided on the side wall of the outer casing 5, and a power switch for connecting the power supply is provided on the upper surface of the outer casing 5. A handle is also provided on the upper surface of the outer casing 5.

[0024] The outer casing 5 also houses a network module 20, which is electrically connected to the neural network controller 1. In this embodiment, the network module 20 is a GSM module, specifically a GSM_SIM800A module. This module integrates a GSM RF chip, baseband processing chip, memory, and power amplifier onto a single circuit board. It has an independent operating system, GSM RF processing, baseband processing, and provides standard interfaces. The GSM module has all the basic functions for communication based on the GSM network, such as sending SMS messages, making voice calls, and transmitting GPRS data. The RXD and TXD pins of the GSM module are electrically connected to the I / O pins of the neural network controller 1 for information transmission. A SIM card slot is provided on the surface of the outer casing 5. After inserting a SIM card with GSM network functionality, the GSM module can communicate with the GSM network. Information is sent from the neural network controller 1 to the GSM module, and then from the GSM module's RF chip and the GSM network to the family member's mobile device.

[0025] The medicine tray 10 has a handle 101 on its side wall for easy holding by the elderly. The surface of the medicine tray 10 has a groove for placing medicine, and the upper surface of the base 3 has a protrusion 31 in the middle. The groove and the protrusion 31 match each other. When the medicine tray 10 is not in use, it can be inverted on the protrusion 31, that is, the groove and the protrusion 31 are locked together to prevent the groove from being contaminated.

[0026] The working principle of this utility model is:

[0027] First, family members input the medication time slots, the type and quantity of medication the elderly person needs to take during each time slot into the neural network controller 1 via the touch screen 6. Then, the neural network controller 1 controls the timing module 7 to start timing. When a medication time slot is reached, the neural network controller 1 controls the voice broadcast module 8 to issue a voice reminder that the elderly person needs to take their medication. The elderly person then uses the medicine tray 10 to collect the medication for that time slot. After collecting the medication, the elderly person places the medicine tray 10 under the recognition camera 9. The recognition camera 9 identifies and photographs the medication in the medicine tray 10 and then sends the photo information to the neural network controller 1. The neural network controller 1 identifies the quantity of medication and, simultaneously, uses standard reference objects in the database 2 to determine the color and shape of the medication. The device compares the appearance (size, etc.) of the medication in the medicine tray 10 to determine if the quantity and type of medication are correct. If correct, the voice broadcast module 8 announces that the medication can be taken, reminding the elderly person to take it. If incorrect, it announces medication error, overdose, or missing medication, reminding the elderly person to replace, remove, or replenish the medication. The corresponding information is displayed on the touch screen 6. After replacing, removing, or replenishing the medication, the recognition continues until the medication is correctly identified. If the elderly person does not bring the medication to the recognition camera 9 for identification within this time period, the neural network controller 1 will send a text message to the family member's mobile phone via the network module 20 to inform the family member that the elderly person has not taken the medication during this time period. Thus, the home medication assistance device of this embodiment can help elderly people at home take their medication on time and accurately.

Claims

1. A home medication assistance device, comprising a neural network controller (1) and a database (2) connected to the neural network controller (1); characterized in that: It also includes a base (3), a connecting rod (4), a housing (5), a touch screen (6), a timing module (7), a voice broadcast module (8), a recognition camera (9), and a medicine dispensing tray (10); among which, The outer shell (5) is positioned above the base (3), and the outer shell (5) and the base (3) are connected by a connecting rod (4); The neural network controller (1), database (2), timing module (7) and voice broadcasting module (8) are all located inside the housing (5), the touch screen (6) is located on the side wall of the housing (5), and the recognition camera (9) is located on the lower surface of the housing (5); the touch screen (6), timing module (7), voice broadcasting module (8) and recognition camera (9) are all electrically connected to the neural network controller (1); The medicine tray (10) is set on the base (3).

2. The home medication assistance device according to claim 1, characterized in that: The side wall of the medicine tray (10) is provided with a handle (101), and the surface of the medicine tray (10) is provided with a groove for placing medicine; two connecting rods (4) are provided between the outer shell (5) and the base (3), and the two connecting rods (4) are respectively provided on both sides of the base (3); a boss (31) is provided in the middle of the upper surface of the base (3), and the boss (31) matches the groove of the medicine tray (10), and the medicine tray (10) can be upside down on the boss (31).

3. The home medication assistance device according to claim 1, characterized in that: The outer casing (5) is also provided with a network module (20), which is electrically connected to the neural network controller (1).

4. The home medication assistance device according to claim 1, characterized in that: The voice broadcast module (8) includes a voice chip and a speaker.

5. The home medication assistance device according to claim 1, characterized in that: A power module is provided inside the housing (5), and a charging port (51) for charging the power module is provided on the side wall of the housing (5).

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