CN212060919U - Intelligent analysis type gesture recognition controller - Google Patents

Intelligent analysis type gesture recognition controller Download PDF

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Publication number
CN212060919U
CN212060919U CN202020846316.3U CN202020846316U CN212060919U CN 212060919 U CN212060919 U CN 212060919U CN 202020846316 U CN202020846316 U CN 202020846316U CN 212060919 U CN212060919 U CN 212060919U
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controller
touch
power supply
gesture recognition
led lamp
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卢林
张翊晟
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Ningbo Deyee Information Technology Co ltd
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Ningbo Deyee Information Technology Co ltd
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Abstract

The utility model discloses an intelligent analysis type gesture recognition controller, which comprises an outer shell, a controller module, a gesture recognition module and a touch induction module; the controller module integrates a power conversion unit, a touch signal processor, a driving unit and a microprocessor; the power supply conversion unit is connected with an external power supply to supply power to the controller module; the gesture recognition module captures a gesture motion track signal and sends the gesture motion track signal to the microprocessor, and the microprocessor drives the product to execute corresponding motion through the driving unit; the touch sensing module is used for acquiring touch signals and sending the touch signals to the touch signal processor, the touch signal processor processes the touch signals and then sends the touch signals to the microprocessor, and the microprocessor drives the product to execute corresponding actions through the driving unit. The utility model discloses only need touch or separate empty gesture action can realize the intelligence single control or the crowd accuse to various products.

Description

Intelligent analysis type gesture recognition controller
Technical Field
The utility model relates to a controller technical field especially relates to an intelligent analysis type gesture recognition controller, can be applied to switch, adjustting of the lighteness or the colour temperature regulation control of LED lamps and lanterns, sun umbrella or sunshade, (window) curtain, the telescopic control of clothes hanger etc. and the switch of room heater, temperature control etc..
Background
With the intelligent, energy-saving and networked promotion of home furnishing and the diversification of control electric appliances, higher requirements are also provided for the operation mode of electronic products, and the traditional mechanical switch can not meet the requirements of the current market.
In the prior art, the most widely used controllers with switches are all press type mechanical tact switches, and the mechanical switches can be controlled by pressing with hands, so that non-contact control and man-machine interaction cannot be realized, particularly, like novel coronavirus which occurs in 1-2 months in 2020, for many cases, because the elevator is taken in public places and the person touches with fingers or is infected by pressing keys, the technology of the close-range control switches has new requirements based on health and hygiene; meanwhile, due to the influence of the material and the production process of the mechanical switch and the artificial repeated operation, the service life is short; moreover, the traditional mechanical switch cannot meet the waterproof performance under outdoor conditions.
In a common intelligent switch or a controller with a switch, a wireless remote controller is common, each electronic product may have an independent remote controller according to market feedback, and the remote controllers cannot be compatible, less than three, four, and more than 10, so that the problem of finding the remote controller often occurs, once a user cannot find the remote controller, the user needs to purchase a learning remote controller, and the operation is difficult to succeed if the user does not have certain professional knowledge.
In the last 10 years, a plurality of water taps and toilets used in public places adopt infrared induction, which really brings great convenience, but the technology is only a single switch function manufactured based on the infrared reflection principle and cannot complete slightly complex action instructions sent by human bodies.
With the recent popularization of artificial intelligence, some electronic products also start to use AI voice control, but this control method needs to access the internet, recognize and translate the voice used by the user, and then execute instructions, but the pronunciation of the user needs to be based on certain standards, for example, nonstandard mandarin may not wake up the command that the user needs to execute. According to the 'language and language communication tool problem handbook' published in Germany, specific numbers are provided: there are 5561 languages in the world, and when such huge languages need to be identified quickly, the requirements on the language database and the transmission equipment are very high, and the user is required to pay continuously.
SUMMERY OF THE UTILITY MODEL
The utility model aims at providing an intelligent analysis type gesture recognition controller can carry out single accuse or crowd accuse to the product that supports based on the human gesture operation action or the touch-sensitive of gesture, has advantages such as simple to use, longe-lived, energy-conservation and non-contact operation mode more accord with healthy health theory.
In order to achieve the above object, the utility model discloses a technical scheme be: provided is a smart analytic type gesture recognition controller, including:
an outer shell: for mounting the controller module;
a controller module: the system comprises a power supply conversion unit, a driving unit and a micro-processing unit, wherein the micro-processing unit is stored with control parameters and an operation program of a controlled product, and the driving unit is used for connecting the controlled product and driving the controlled product to execute a corresponding instruction; the power supply conversion unit comprises an input power supply interface and a power supply conversion circuit, the input power supply interface is used for being connected with an external power supply, and the power supply conversion circuit is used for converting the external power supply and supplying power to the controller module;
a gesture recognition module: the gesture control system comprises a gesture signal sensing unit and a gesture signal processing unit, wherein the gesture signal sensing unit captures a gesture motion track signal and transmits the gesture motion track signal to the gesture signal processing unit, the gesture signal processing unit converts the gesture motion track signal into a corresponding instruction and then sends the corresponding instruction to a micro-processing unit, and the micro-processing unit drives a controlled product to execute a corresponding motion through a driving unit;
a touch sensing module: the touch signal sensing unit receives a touch signal and sends the touch signal to the touch sensing signal processing unit through the touch signal transmission unit, the touch sensing signal processing unit converts the touch signal into a corresponding instruction and then sends the instruction to the micro-processing unit, and the micro-processing unit drives a controlled product to execute a corresponding action through the driving unit.
Further, the controller module also comprises a power switch, wherein the power switch is used for controlling the internal power supply of the controller module; the power switch is provided with three control modes of opening, closing and dormancy, and is used for respectively controlling the connection and disconnection of the controller module and an external power supply and the operation of the controller module with low power consumption.
Further, the touch signal sensing unit includes a plurality of function sensing buttons: each function induction key corresponds to a control instruction of a controlled product, the touch signal transmission unit comprises a plurality of touch induction springs which are connected with the function induction keys respectively, the function induction keys receive touch signals and then send the touch signals to the touch induction signal processing unit through the touch induction springs, the touch induction signal processing unit processes the touch signals and then sends the touch signals to the micro-processing unit, and the micro-processing unit drives the controlled product to execute corresponding actions through the driving unit.
The operating mode switching module comprises a switch, an automatic operating program of a controlled product is stored in the micro-processing unit, the switch sends an operating mode switching instruction to the micro-processing unit after receiving a trigger signal, and the micro-processing unit closes the gesture recognition module and the gesture recognition module after receiving the operating mode switching instruction and drives the controlled product to operate according to the automatic operating program through the driving unit.
Furthermore, the working mode switching module comprises a magnetic sensor integrated in the controller module, the switch comprises a magnetic element detachably mounted on the outer shell, the magnetic sensor sends a working mode switching instruction to the microprocessor unit after receiving a trigger signal of the magnetic element, and the microprocessor unit drives a controlled product to run according to the automatic running program through the driving unit.
Furthermore, a time threshold is preset in the micro-processing unit, when the micro-processing unit does not receive a gesture motion trajectory signal or a touch signal within the time threshold, the micro-processing unit sends a sleep instruction to the gesture recognition module, the touch sensing module and the driving unit, and the gesture recognition module, the touch sensing module and the driving unit operate in a low power consumption mode.
Further, the gesture recognition module comprises an optical lens and a built-in chip which are integrated into a whole, bidirectional communication is arranged between the built-in chip and the micro-processing unit through an I2C bus, the optical lens captures a gesture motion track signal and transmits the gesture motion track signal to the built-in chip, and the built-in chip converts the gesture motion track signal and transmits the gesture motion track signal to the micro-processing unit through the I2C bus.
Further, the shell body comprises a controller face cover and a controller bottom cover, the function induction keys are installed on the controller face cover, and the controller bottom cover is used for installing the controller module and fixing the controller face cover.
An intelligent analysis type gesture recognition controller is connected with an LED lamp and a motor for driving control, and comprises a controller surface cover, a controller main board and a controller bottom cover;
the controller mainboard is integrated with a power conversion module, a gesture recognition sensor module, a touch sensing signal processor, a driving circuit and a CPU microprocessor; the power conversion module comprises an input power interface and an AC/DC power conversion circuit; the CPU microprocessor is respectively stored with control parameters and running programs of the LED lamp and the motor; the input power supply interface is used for connecting an external power supply, the AC/DC power supply conversion circuit converts the external power supply to realize power supply to the controller mainboard, and the external power supply can be an AC or DC nonpolar power supply; the driving circuit comprises an LED lamp driving circuit and a motor driving circuit, and is respectively connected with the LED lamp and the motor for driving control;
the controller is characterized in that a plurality of function induction keys are arranged on the controller surface cover, the function induction keys comprise an LED lamp power supply control key, a motor power supply control key and a mode adjusting function key, and the function induction keys are connected with the controller mainboard through a touch induction spring;
the controller bottom cover is used for mounting the controller mainboard and fixing the controller surface cover;
the function induction key collects touch signals and sends the induced touch signals to the touch induction signal processor through the touch induction spring, the touch induction signal processor converts the touch signals into corresponding electric signals and transmits the electric signals to the CPU microprocessor, the CPU microprocessor sends corresponding instructions to the driving circuit, and the driving circuit controls the LED lamp or the motor to execute corresponding actions;
the gesture recognition sensor module comprises an optical lens and a built-in chip which are integrated into a whole, the built-in chip is in bidirectional communication with the CPU microprocessor through an I2C bus, the optical lens captures gesture motion track signals and transmits the gesture motion track signals to the built-in chip, the built-in chip converts the captured gesture motion track signals and sends the signals to the CPU microprocessor through the I2C bus, the CPU microprocessor sends corresponding instructions to the driving circuit, and the driving circuit controls the LED lamp to execute corresponding motions; peripheral components and parts are connected to gesture recognition sensor module, peripheral components and parts include the filter lens, the filter lens be used for doing gesture recognition sensor module filters the light wave interference in the environment.
Further, a photosensitive sensor and a magnetic sensor are integrated on the controller mainboard; a magnet silica gel shell is arranged on the outer side of the controller bottom cover, a magnetic element is detachably mounted on the magnet silica gel shell, the magnetic sensor sends a working mode switching instruction to the CPU microprocessor after sensing a magnetic signal of the magnetic element, the CPU microprocessor closes the gesture recognition sensor module, the function sensing key and the touch sensing signal processor after receiving the working mode switching instruction, and controls the LED lamp to be automatically opened, closed, adjusted in brightness and changed in color temperature through the driving circuit according to an environment light intensity signal acquired by the photosensitive sensor; the CPU microprocessor stores a time threshold, does not receive a touch sensing signal or a gesture motion track signal within the time threshold, and transmits a sleep signal to the gesture recognition sensor module, the touch sensing signal processor and the driving circuit, and the gesture recognition sensor module, the touch sensing signal processor and the driving circuit operate in a low power consumption mode.
The utility model has the advantages that: 1. the control of the product can be finished only by touch or gesture actions, so that the problem of short service life of a mechanical controller in the prior art is solved, the cost is saved, and the resource waste is reduced; the problem that a plurality of controllers cannot be compatible when the non-contact remote controller is used is solved, and single control and group control of supported products can be realized; the problem of processing voice instructions by an AI voice intelligent controller is solved, the language limitation is easily exceeded, all instructions can be completed without networking, and a user does not need to pay extra cost and access to a network, so that the network safety problem does not exist; 2. the automatic control system has two working modes of an automatic mode and a manual mode, and can carry out intelligent single control or group control on different products; 3. the gesture recognition is based on a chip-type processor (optical lens and built-in chip), an air-isolated gesture motion track signal is captured and output to a microprocessor in an I2C bus data mode, the sensing distance and a controller panel are 30-50CM, and the sensitivity is extremely high; the gesture signals can be easily accessed to an i2c bus, and then various control instructions are completed together with a CPU microprocessor and a rear-end drive circuit through software, so that simple single control, group control and the like can be realized; this kind of gesture recognition is different from traditional contact touch-sensitive completely, for example touch slip on desk lamp, the remote control lamp remote controller is adjusted luminance, also different from traditional infrared correlation principle (infrared transmitting tube + infrared receiving tube), infrared correlation pipe utilizes is that when the product is in standby state, the transmitting tube transmits infrared ray and goes out the receiving tube and can normally receive the infrared light, can block infrared receiving tube and receive normal infrared light when people's hand or non-transparent object are close to, trigger the change of a high-low level of output then, can't do complicated judgement to the gesture moving trajectory. For example: induction taps of hand washing basins in public places, automatic induction water outlet in front of urinals in men's toilets, induction of hand washing liquid machines and the like are all based on the infrared principle; 4. the intelligent control system has wide applicability and supports the intelligent control of products such as traditional incandescent lamps, various LED lamps, heaters, fans, air conditioners, sunshades, sunshade umbrellas, curtains, telescopic clothes hangers and the like.
Drawings
FIG. 1 is a schematic structural diagram of a preferred embodiment of the present invention;
fig. 2 is a control flow chart of the embodiment of the present invention.
Detailed Description
The following detailed description of the preferred embodiments of the present invention will be provided in conjunction with the accompanying drawings, so as to enable those skilled in the art to more easily understand the advantages and features of the present invention, and thereby define the scope of the invention more clearly and clearly.
Referring to fig. 1, an intelligent analysis type gesture recognition controller for an LED lamp and a sunshade is connected to a motor of the LED lamp and the sunshade, and is used for controlling the light of the LED lamp and the extension of the sunshade. The method comprises the following steps: the controller comprises a controller shell and a controller mainboard (5), wherein the controller shell comprises a controller face cover (2) and a controller bottom cover (6), and a special clamping position is arranged in the controller bottom cover (6) and used for fixing the controller mainboard (5).
The controller mainboard (5) is integrated with an input power interface, an AC/DC nonpolar power conversion circuit, an anti-jamming circuit, a lightning protection circuit, a gesture recognition sensor module, a touch induction signal processor (11), a photosensitive inductor, a magnetic sensor, a driving circuit (9) and a CPU microprocessor (10); a plurality of input and output ports (7) are arranged on the controller bottom cover (6) and are used for connecting external input and external output; the input power supply interface is connected with an external power supply, the external power supply supplies power to the controller mainboard (5) after being converted by the AC/DC nonpolar power supply conversion circuit, and the external power supply can be taken in for AC or DC nonpolarity; the driving circuit (9) comprises an LED lamp driving circuit and a motor driving circuit, and is respectively connected with the controlled LED lamp and the motor of the sunshade and used for driving the LED lamp and the motor to execute corresponding actions according to instructions.
Six touch induction keys are arranged on the controller surface cover (2) and the filter lens (1) is arranged on the controller surface cover. The six touch induction keys are a key U (14a), a key D (14b), a key L (14c), a key R (14D), a lamp icon key (14e) and a key M (14f), wherein the key U (14a), the key D (14b), the key L (14c) and the key R (14D) are used for carrying out parameter regulation control on the light of the LED lamp or a motor of the sunshade, for example, the color temperature and the brightness of the LED light are regulated and controlled; or the rotation speed of the motor, forward rotation and reverse rotation control and the like. Two drive circuits share the above: the function keys of the key U (14a), the key D (14b), the key L (14c) and the key R (14D) perform mode adjustment control. The lamp icon key (14e) is used for controlling the light awakening and closing of the LED lamp, and when the icon key (14e) receives a touch signal, the key U (14a), the key D (14b), the key L (14c) and the key R (14D) are used for carrying out mode adjustment control on the LED light; the button M (14f) is used for controlling the motor to wake up and shut down, and after the button M (14f) receives a touch signal, the button U (14a), the button D (14b), the button L (14c) and the button R (14D) are used for performing mode adjustment control on the motor.
The CPU microprocessor (10) is internally provided with a memory and stores control parameters and running programs of the controlled LED lamp and the motor.
The gesture recognition sensor module comprises an optical lens (4) and a built-in chip (3) which are integrated into a whole, the built-in chip (3) is in bidirectional communication connection with a CPU (central processing unit) microprocessor through an I2C bus, the optical lens (4) captures gesture motion track signals and transmits the gesture motion track signals to the built-in chip (3), the built-in chip (3) converts the gesture motion track signals into special codes and transmits the special codes to the CPU microprocessor (10) through an I2C bus, and the CPU microprocessor (10) controls an LED lamp/motor to execute corresponding motions through a driving circuit (9) according to instructions; the filter lens (1) is arranged on the outer side of the optical lens (4) and used for filtering stray light interference in the environment, and the accuracy of gesture recognition is improved.
The built-in chip (3) integrates the gesture recognition function and the I2C interface into a whole, can recognize 10 gestures, including moving leftwards, moving rightwards, moving upwards, moving downwards, moving forwards, moving backwards, clockwise winding, anticlockwise winding, waving hands and hovering ahead, and can be used for opening and closing an LED lamp, increasing brightness, reducing brightness, switching light colors or controlling stretching of a sunshade (motor) and the like.
The six functional touch sensing keys are respectively connected with a touch sensing signal processor (11) through touch springs (8), when a touch signal is received by a certain functional touch sensing key, the touch signal is transmitted to the touch sensing signal processor (11) through the touch springs (8), the touch sensing signal processor (11) converts the received touch signal into a corresponding electric signal and transmits the electric signal to a CPU (10), and the CPU (10) controls a motor of an LED lamp or a sunshade to execute corresponding actions through a driving circuit (9); in the embodiment, the lamp icon key (14e) is switched back to the light control in the key M (14f) mode corresponding to the awakening and closing control of the light of the LED lamp; the button M (14f) is used for wake-up of the motor, turn-off control, switch back to light control in the light icon button (14e) mode.
A. When the lamp icon key (14e) receives a touch signal, the controller is used for controlling the LED lamp, the key D (14b) controls the reduction of the LED lamp light brightness, the key U (14a) controls the increase of the LED lamp light brightness, and the key R (14b) and the key L (14c) are controlled for LED lamp light color switching (cold light/warm light is increased or decreased). The specific function can be completed by modifying the software according to the requirement of a user.
B. When the button M (14f) receives the touch signal, the controller is configured to control the sunshade motor, the button D (14b) controls the sunshade to be closed (100-0%), the button U (14a) controls the sunshade to be opened (0-100%), the button R (14b) controls the sunshade to be opened by an incremental change amount (e.g., 25%, 50%, 75%, 100%) and the button L (14c) controls the sunshade to be closed by an incremental change amount (e.g., 100%, 75%, 50%, 25%). The specific function can be completed by modifying the software according to the requirement of the user.
A magnet silica gel shell (12) is installed on the outer side of the controller bottom cover (6), when a magnet (13) is installed in the magnet silica gel shell (12), a magnetic sensor receives a magnetic signal of the magnet (13) and sends the magnetic signal to the micro CPU (10), the CPU (10) closes the gesture recognition sensor module and the touch induction signal processor (11) after receiving the magnetic signal, and the LED lamp is controlled to run in an automatic mode; at the moment, the photosensitive sensor collects an ambient light signal and sends the ambient light signal to the CPU microprocessor (10), the CPU microprocessor (10) controls the LED lamp to automatically operate according to the collected ambient light signal, and for example, the LED lamp is controlled to be turned off in the daytime; the LED lamp is controlled to be turned on at night; when the ambient light intensity is weaker, the LED lamp is controlled to increase the brightness; when the ambient light intensity is strong, the LED lamp is controlled to reduce the brightness.
The time threshold is preset in the CPU microprocessor (10), when the CPU microprocessor (10) does not receive a touch induction signal or a gesture motion track signal within the time threshold, a sleep signal is transmitted to the gesture recognition sensor module, the touch induction signal processor and the driving circuit, and the gesture recognition sensor module, the touch induction signal processor and the driving circuit operate in a low power consumption mode after receiving the sleep signal, so that the whole controller is more energy-saving.
Please refer to fig. 2, which is a control flow chart according to an embodiment of the present invention.
The controller of the embodiment can be installed at any position of a room through the adhesive, and the installation is simple and convenient. The controller shell is made of PC + ASA plastic, acrylic or stainless steel 304, and meets the test standard and requirement of laboratory UV for 500 hours (simulating outdoor for more than 5 years); the functional keys 14 are subjected to surface treatment by adopting hardened acrylic or 304 stainless steel, and accord with the simulated environment test under the standard laboratory condition, and the salt spray test lasts for 500 hours; the protection level conforms to the IP67 standard.
The control of the product can be completed only by touching or separating the gesture action, and meanwhile, automatic operation and group control can be realized by additionally arranging the magnets. The intelligent control system has wide applicability, and can intelligently control products such as traditional incandescent lamps, LED lamps, heaters, fans, air conditioners, sunshades, sun shades, curtains, telescopic clothes hangers and the like.
The above only is the embodiment of the present invention, not limiting the patent scope of the present invention, all the equivalent structures or equivalent processes that are used in the specification and the attached drawings or directly or indirectly applied to other related technical fields are included in the patent protection scope of the present invention.

Claims (2)

1. An intelligent analysis type gesture recognition controller is characterized in that the controller is connected with an LED lamp and a motor for driving control, and comprises a controller surface cover, a controller main board and a controller bottom cover;
the controller mainboard is integrated with a power conversion module, a gesture recognition sensor module, a touch sensing signal processor, a driving circuit and a CPU microprocessor; the power conversion module comprises an input power interface and an AC/DC power conversion circuit; the input power supply interface is used for connecting an external power supply, the AC/DC power supply conversion circuit converts the external power supply to realize power supply to the controller mainboard, and the external power supply can be an AC or DC nonpolar power supply; the driving circuit comprises an LED lamp driving circuit and a motor driving circuit, and is respectively connected with the LED lamp and the motor for driving control;
the controller is characterized in that a plurality of function induction keys are arranged on the controller surface cover, the function induction keys comprise an LED lamp power supply control key, a motor power supply control key and a mode adjusting function key, and the function induction keys are connected with the controller mainboard through a touch induction spring;
the controller bottom cover is used for mounting the controller mainboard and fixing the controller surface cover;
the function induction key collects a touch signal;
the gesture recognition sensor module comprises an optical lens and a built-in chip which are integrated into a whole, the gesture recognition sensor module is connected with a peripheral component, the peripheral component comprises a filter lens, and the filter lens is used for filtering light wave interference in the environment for the gesture recognition sensor module.
2. The intelligent analysis type gesture recognition controller according to claim 1, wherein a photosensitive sensor and a magnetic sensor are further integrated on the controller main board; the outside of controller bottom is provided with magnet silica gel shell, detachably installs magnetic element on the magnet silica gel shell.
CN202020846316.3U 2020-05-20 2020-05-20 Intelligent analysis type gesture recognition controller Active CN212060919U (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112650332A (en) * 2020-12-14 2021-04-13 浙江万里学院 Non-contact automatic liquid soap discharging control method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112650332A (en) * 2020-12-14 2021-04-13 浙江万里学院 Non-contact automatic liquid soap discharging control method

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