Detection and evaluation device for gesture recognition control function of intelligent extractor hood

Abstract

The utility model discloses a detection and evaluation device for a gesture recognition control function of an intelligent range hood. The detection and evaluation device comprises an upper computer, a bionic hand motion control module and an instrument data acquisition module, the bionic hand motion control module comprises a four-degree-of-freedom mechanical intelligent arm and a bionic hand mounted on the four-degree-of-freedom mechanical intelligent arm, and the upper computer is connected with a control end of the four-degree-of-freedom mechanical intelligent arm; the data acquisition module comprises a universal shaping pipe and a pressure gauge installed on the universal shaping pipe, the pressure gauge is supported by the universal shaping pipe and arranged near an air inlet of the range hood, and the data output end of the pressure gauge is connected with the upper computer. The utility model provides a set of solution for the realization device for automatically detecting and evaluating the gesture recognition control function of the intelligent range hood, and the device is high in automation degree, flexible and convenient to control, capable of meeting the diversity of gesture control modes and working logic of products, and suitable for the control requirements of different range hoods.

Description

TECHNICAL FIELD

[0001] The utility model relates to a kind of detection evaluation device of intelligent range hood gesture recognition control function. BACKGROUND

[0002] With the continuous development of science and technology and the innovation of man-machine communication mode, people's pursuit of smart home and convenient lifestyle is increasing, which also promotes the development of kitchen appliances such as range hood towards intelligence and humanization. Gesture recognition system as an advanced man-machine interaction method is the focus of experts and scholars in the field of man-machine interaction, and is the most popular field at present, which has a wide range of application scenarios. Gesture control refers to the hand not directly contacting the machine, but making corresponding gesture changes in the air, and then controlling the machine to make corresponding actions. The application of gesture control in range hood can enable users to control the operation of range hood through simple gesture actions, thereby improving the convenience of use and user experience. The application of gesture recognition technology in range hood enables users to control the switch, wind speed gear and other functions of range hood by waving their hands, and controls the range hood without touching the keys, which is convenient and sanitary, avoids dirtying the control panel of range hood, meets the expectation of effectively controlling range hood in the case of greasy hands or inconvenience, and provides convenience and cleanliness of use.

[0003] The gesture recognition rate of range hood is one of the most important indicators for measuring the intelligence and user experience of range hood. At present, most of the gesture recognition control functions in the industry are concentrated on the realization of product gesture recognition control function, and there are few detection evaluation devices. Therefore, it is necessary to design a device to detect and evaluate the accuracy of intelligent range hood gesture recognition control function. UTILITY MODEL CONTENT

[0004] The utility model aims at providing a kind of detection evaluation device of intelligent range hood gesture recognition control function.

[0005] The utility model achieves the purpose by the following technical scheme: a kind of detection evaluation device of intelligent range hood gesture recognition control function, including host computer, bionic hand movement control module simulation and instrument data acquisition module.

[0006] The bionic hand movement control module includes four-degree-of-freedom mechanical intelligent arm and bionic hand installed thereon, and the host computer is connected with the control end of the four-degree-of-freedom mechanical intelligent arm.

[0007] The data acquisition module comprises a universal shaping pipe and a pressure gauge mounted thereon, the pressure gauge is supported by the universal shaping pipe and arranged near the air inlet of the range hood, a data output end of the pressure gauge is connected with the host computer, and the host computer records each gesture action and the change of the pressure of the air inlet of the range hood after the action.

[0008] The host computer controls the four-degree-of-freedom mechanical intelligent arm to drive the bionic hand to simulate the gesture action of a person in front of the range hood, the pressure of the air inlet of the range hood is collected through the pressure gauge, then the recognition rate of the gesture recognition control function of the range hood is automatically counted according to the change of the pressure after each gesture action, and a detection report is formed according to a template. It can be seen that the automatic detection and evaluation of the gesture recognition control function of the intelligent range hood can be realized through the device of the utility model.

[0009] The host computer and the intelligent arm are communicated through Uart.

[0010] The host computer and the pressure gauge are communicated through RS485.

[0011] Advantages:

[0012] The utility model provides a set of solution scheme for the realization device of the automatic detection and evaluation of the gesture recognition control function of the intelligent range hood, and the device has high automation degree, flexible and convenient control, can meet the diversity of the gesture control mode and the working logic of the product, and is suitable for the control requirements of different range hoods. BRIEF DESCRIPTION OF DRAWINGS

[0013] Figure 1 It is the component block diagram of the detection and evaluation device of the utility model;

[0014] Figure 2 It is the automatic test processing logic diagram. DETAILED DESCRIPTION

[0015] The utility model will be further explained in detail in combination with specific embodiments and drawings.

[0016] Figure 1 The composition block diagram of the detection and evaluation device of the embodiment is shown in Figure 1 which mainly comprises a host computer, a bionic hand motion control module and an instrument data acquisition module. The bionic hand motion control module is mainly composed of a bionic hand driven by a four-degree-of-freedom mechanical intelligent arm. The instrument data acquisition module is mainly composed of a communication type digital pressure gauge supported by a stainless steel universal shaped tube. The stainless steel universal shaped tube has great flexibility and can be arbitrarily rotated, bent and shaped. The host computer and the intelligent arm communicate through Uart, and the pressure gauge communicates through RS485.

[0017] The gesture recognition control function of the intelligent range hood can be detected and evaluated by the detection and evaluation device of the embodiment in the following way:

[0018] The host computer controls the four-degree-of-freedom mechanical intelligent arm to drive the bionic hand to simulate the gesture action of the human hand in front of the range hood, and the pressure at the air inlet of the range hood is collected through the pressure gauge. Then, the host computer automatically calculates the recognition rate of the gesture recognition control function of the range hood according to the change of the pressure at the air inlet of the range hood after each gesture action, and forms a detection report according to the template.

[0019] The hardware configuration of the detection and evaluation device of the embodiment is as follows:

[0020] Serial number Name Brand model Quantity Function 1 PC host computer DELL, OptiPlex 7090MT (i7 11700 / 16GB / 256GB) 1 unit Used for data centralized processing, visualization, accepting instruction input and automatically generating reports 2 Four degrees of freedom mechanical intelligent arm Xiaoxue RoArm-M2-S (360° full range of base motion range with three flexible joints, building tentacle and working space with diameter 1m) 1 unit Execute control instructions to move up, down, left and right 3 RS485 communication type digital pressure gauge Feidian Measurement and Control FD100RMODBUS RTU RS485 (measurement range -0.1-100MPa) 1 unit Measure the pressure in the area near the range hood inlet 4 Stainless steel universal shaping pipe Bath Yingding (304 stainless steel 360° rotation / bending shaping) 1 unit Extend the pressure point of the pressure gauge to the range hood inlet 5 Human bionic hand Customized silicone bionic hand 1 unit Simulate human hand

[0021] The host computer of the embodiment can evaluate the recognition rate, stability and reliability of the opening and closing operation gesture recognition control function of the range hood in the following way:

[0022] 1. Set the initial conditions, including setting:

[0023] a) Initial pressure at the air inlet: P0 (in this embodiment, it is obtained by user input of the ambient atmospheric pressure)

[0024] b) Initial number of normal opening times: x = 0

[0025] c) Initial number of normal closing times: y = 0

[0026] d) Initial total number of opening operations: Nx = 0

[0027] e) Initial total number of closing operations: Ny = 0

[0028] f) Number of test cycles: N (assign the number of waving cycles set by the user to N)

[0029] 2. Test control

[0030] 2.1) Opening operation

[0031] a) According to the user's setting of the waving direction of the bionic hand, control the bionic hand to wave out;

[0032] b) After waiting for a certain period of time, read the current pressure value P1. If it exceeds the tolerance range of P0 (P0±10%), then the opening control operation is determined to be successful. The number of normal openings is x=x+1, and the total number of opening operations is Nx=Nx+1. If the range hood fails to open, control the bionic hand to reset to the initial position of the opening action and repeat the above opening operation.

[0033] 2.2) Closing Operation

[0034] a) Controlling the bionic hand to swing back;

[0035] b) After waiting for a certain period of time, read the current pressure value P2. If it exceeds the tolerance range of P1 (P1±10%), then the closing control operation is determined to be successful. The number of normal closing operations is y=y+1, and the total number of closing operations is Ny=Ny+1. If the range hood fails to close, control the bionic hand to reset to the initial position of the closing action and repeat the above closing operation.

[0036] 2.3) If both Nx and Ny reach the stated number of cycles N, the program ends; otherwise, repeat steps 2.1) and 2.2).

[0037] 3) Recognition rate statistics

[0038] The success rate of the gesture recognition control function for turning on the range hood is high. ;

[0039] The success rate of the gesture recognition control function for turning off the range hood is high. ;

[0040] Overall recognition rate of gesture control function for range hoods .

[0041] The host computer determines whether the operation is effective by comparing whether the pressure change after the gesture operation exceeds the tolerance range before the operation, thus enabling accurate judgment of the working status of the range hood.

[0042] The following section uses a specific range hood product as an example to illustrate its testing steps, and the flowchart is as follows: Figure 2 As shown, waving the hand gesture once from left to right turns the range hood on and starts sucking air in; waving the hand gesture once from right to left turns the range hood off.

[0043] Step 1: Turn on the power control switch of the host computer and open the host computer test system software;

[0044] Step 2: Input user parameters

[0045] The parameters include the swinging direction of the bionic hand, the number of swinging cycles, the swinging time interval, the swinging speed, the distance between the bionic hand and the air inlet of the range hood, the ambient air pressure (103 kPa), the report number, and the sample number.

[0046] Step 3: Adjust the pressure taking point of the stainless steel universal shaping pipe connected with the digital pressure gauge to be close to the air inlet of the range hood without hindering the movement of the bionic hand.

[0047] Step 4: Connect the power supply to the range hood to be tested.

[0048] Step 5: Click the "Start" button of the test system page of the upper computer, and the upper computer sends instructions to start the test.

[0049] Step 6: The upper computer initializes the program variables, sets the normal opening times x and the normal closing times y to 0, and sets the opening operation times Nx and the closing operation times Ny to 0.

[0050] Step 7: The upper computer sends an opening operation instruction to control the bionic hand to swing from left to right once, and waits for Tx seconds to allow the range hood to be completely opened for pressure detection, records the completion of one opening operation, and increases Nx by 1.

[0051] Step 8: The air inlet of the range hood dynamically monitors the air pressure changes. If the range hood is not successfully opened, the bionic hand is reset to the initial position of the opening operation, and Step 7 is repeated.

[0052] Step 9: If the operation that opens the range hood is an effective opening operation (considering Nx that does not exceed the target number of operations N as an effective opening operation), one normal opening is recorded, and x is increased by 1.

[0053] Step 10: The upper computer sends a closing operation instruction to control the bionic hand to swing from right to left once, and waits for Ty seconds to allow the range hood to be completely closed for pressure detection, records the completion of one opening operation, and increases Ny by 1.

[0054] Step 11: The air inlet of the range hood dynamically monitors the air pressure changes. If the range hood is not successfully closed, the bionic hand is reset to the initial position of the closing operation, and Step 10 is repeated.

[0055] Step 12: If the operation that closes the range hood is an effective closing operation (considering Ny that does not exceed the target number of operations N as an effective closing operation), one normal closing is recorded, and y is increased by 1.

[0056] Step 13: If Nx and Ny both reach the target number of operations, the program ends, otherwise, Steps 7 to 12 are repeated.

[0057] Step 14: test is completed, the program calculates and outputs the test results, the host computer clicks the "generate report" button, generates the test report, automatically imports the test related information entered into the system at the beginning of the test, such as report number, customer information, machine model, rated voltage, rated power, frequency, illumination, environmental atmospheric pressure, temperature and humidity and other information into the report, not only improve the test efficiency, but also facilitate the traceability of related information. The software configuration of the host computer in this embodiment is as follows:

[0058] Operating system Windows 10 Development environment Python development environment and tools

[0059] The utility model provides a set of solution scheme for the realization device of automatic detection and evaluation intelligent range hood gesture recognition control function, and the device has high degree of automation, and control is flexible, convenient, can satisfy the diversity of product gesture control mode and work logic, adapts to the control requirement of different range hood. In addition, the utility model device uses modular design, so that the device each component can be according to actual use product and function need quick replacement or upgrade, improve the flexibility of tooling and future adaptability.

Claims

1. A detection and evaluation device for the gesture recognition control function of an intelligent extractor hood, characterized by The system comprises a host computer, a bionic hand motion control module and an instrument data acquisition module. The bionic hand motion control module comprises a four-degree-of-freedom mechanical intelligent arm and a bionic hand installed thereon. The data acquisition module comprises a universal shaped tube and a pressure gauge installed thereon.

2. The detection evaluation device according to claim 1, characterized by The pressure gauge is supported by the universal shaped tube and arranged near an air inlet of the range hood.

3. The detection evaluation device according to claim 1, characterized by The host computer is connected with a control end of the four-degree-of-freedom mechanical intelligent arm. The host computer is connected with the pressure gauge through RS485 communication.

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