Range hood gesture recognition control method and system and range hood

Abstract

The invention discloses a gesture recognition control method and system for a range hood and the range hood. According to the gesture recognition control method for the range hood, two sets of infrared geminate transistor sensors are controlled to emit infrared emission signals with preset coding values in a synchronous period; acquiring the signal intensity, the signal coding matching degree and the receiving time interval of two groups of corresponding infrared receiving signals after the two groups of infrared sending signals are reflected, judging whether an effective gesture judgment condition is met or not based on the signal intensity, the signal coding matching degree and the receiving time interval, and when the effective gesture judgment condition is met, executing the step 2; if yes, the gestures currently detected by the two sets of infrared geminate transistor sensors are determined to be effective gestures, and the range hood is controlled to execute control actions corresponding to the control instructions based on the control instructions corresponding to the effective gestures; coding verification, intensity verification and sequential logic-based dual-channel correlation judgment are carried out on the two groups of infrared receiving signals, so that efficient, reliable and high-interference-resistance non-contact waving action recognition can be ensured.

Description

Technical Field

[0001] This invention relates to the field of kitchen appliance technology, and in particular to a method, system and range hood for gesture recognition control. Background Technology

[0002] Many home appliances have infrared control functions, which can quickly control the device by recognizing gestures or other body movements and issuing corresponding control commands, bringing convenience to users' lives.

[0003] Most existing technologies employ a scheme that uses two sets of infrared photodiodes (reflective) to detect gestures. The principle is based on the difference in reflectivity of the object's surface to detect signals and to determine the gesture by analyzing the changes in the intensity of the reflected light. However, this scheme is easily interfered with by other infrared devices, leading to false triggers and low accuracy in detecting gestures, which may result in a poor user experience. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art.

[0005] Therefore, one objective of this invention is to propose a gesture recognition control method for range hoods. According to this method, by first performing encoding verification, intensity verification, and dual-channel association judgment based on timing logic on two sets of infrared received signals, a comprehensive judgment is made on whether the valid gesture judgment conditions are met. This method enables efficient, reliable, and interference-resistant non-contact hand gesture recognition, solving the key technical problems of gesture recognition accuracy and stability in complex environments. Thus, the range hood can be accurately controlled based on the accurately judged valid gestures, which helps to improve the user experience.

[0006] Therefore, the second objective of this invention is to provide a gesture recognition control system for a range hood.

[0007] Therefore, the third objective of this invention is to provide a smoke hood.

[0008] To achieve the above objectives, a first aspect of the present invention provides a method for gesture recognition control of a range hood. The range hood includes two sets of infrared photocell sensors arranged at a certain distance in the horizontal direction. The method includes: controlling the two sets of infrared photocell sensors to synchronously emit infrared transmission signals with preset encoding values, wherein the preset encoding values ​​include fixed encoding or cyclic encoding; acquiring the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals corresponding to the two sets of infrared transmission signals after reflection; determining whether a valid gesture determination condition is met based on the signal strength, signal encoding matching degree, and reception time interval; if the condition is met, determining that the gesture currently detected by the two sets of infrared photocell sensors is a valid gesture, and controlling the range hood to perform a control action corresponding to the control command based on the control command corresponding to the valid gesture.

[0009] According to the present invention, the method for controlling a range hood gesture recognition first controls two sets of infrared photocell sensors to synchronously emit infrared transmission signals with preset encoding values. Then, it acquires the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals after reflection. Next, based on the signal strength, signal encoding matching degree, and reception time interval, it determines whether a valid gesture determination condition is met. Finally, when the valid gesture determination condition is met, the gesture currently detected by the two sets of infrared photocell sensors is determined to be a valid gesture. Based on the control command corresponding to the valid gesture, the range hood is then controlled to execute the control action corresponding to the control command. This method controls the two sets of infrared photocell sensors to acquire infrared signals with preset encoding values. Transmitting preset coded signals using a synchronous period, rather than time-division or random transmission, not only reduces the risk of signal collisions and mutual interference, but also provides a unified time reference for backend collaborative logic judgment of dual signals (such as interval timing), which is the foundation for achieving high-precision gesture timing judgment. At the same time, by performing encoding verification, intensity verification, and dual-channel association judgment based on timing logic on two sets of infrared received signals, a comprehensive judgment is made on whether the valid gesture judgment conditions are met. This enables efficient, reliable, and interference-resistant non-contact hand gesture recognition, solving the key technical problems of gesture recognition accuracy and stability in complex environments. As a result, the effective gestures after accurate judgment can be accurately controlled, which helps to improve the user experience.

[0010] In some embodiments, determining whether the valid gesture determination condition is met based on the signal strength, signal coding matching degree, and the reception time interval includes: determining whether the signal codes of the two demodulated sets of infrared received signals match the preset coding value; if they match, generating a valid coded signal; determining whether the signal strength currently received by the set of infrared received signals that generated the valid coded signal is greater than or equal to the current corresponding preset strength reference threshold; if so, determining that the set of infrared received signals has experienced a valid trigger event; recording the occurrence time of the valid trigger event in response to any set of infrared received signals experiencing a valid trigger event; when a set of infrared received signals experiences a valid trigger event, querying the historical trigger record of the other set of infrared received signals experiencing a valid trigger event before it; when it is determined from the historical trigger record that within a preset time window before the other set of infrared received signals experienced a valid trigger event, the valid gesture determination condition is met.

[0011] In some embodiments, the intensity of infrared noise in the environment is sampled in real time, and the intensity reference threshold is dynamically adjusted based on the ambient infrared noise intensity.

[0012] In some embodiments, the real-time sampling of infrared noise intensity in the environment and the dynamic adjustment of the intensity reference threshold based on the ambient infrared noise intensity include: performing analog-to-digital conversion sampling on the received ambient infrared noise signal during a period when no infrared signal with the preset coding value is emitted to obtain an ambient noise intensity value; and setting the intensity reference threshold to the ambient noise intensity value plus a fixed anti-interference margin.

[0013] In some embodiments, the step of recording the occurrence time of a valid trigger event in response to any group of the infrared received signals further includes: incrementing the valid trigger counter corresponding to the group of infrared received signals.

[0014] In some embodiments, querying the historical trigger records prior to the valid trigger events of another set of infrared received signals includes: querying the value of the valid trigger counter corresponding to the other set of infrared received signals.

[0015] In some embodiments, the range hood gesture recognition control method further includes: setting independent timeout timers for the two sets of infrared received signals respectively; after recording the occurrence time of the effective triggering event in response to a valid triggering event occurring in any set of infrared received signals, the method further includes: resetting the timeout timer corresponding to the set of infrared received signals.

[0016] In some embodiments, if the timeout timer corresponding to a certain group of infrared received signals reaches the preset timeout duration, and no new valid triggering event occurs corresponding to that group of infrared received signals, then the historical triggering record corresponding to that group of infrared received signals is cleared.

[0017] To achieve the above objectives, a second aspect of the present invention provides a gesture recognition control system for a range hood. The range hood includes two sets of infrared photocell sensors arranged at a certain distance in the horizontal direction. The system includes: a transmitting module for controlling the two sets of infrared photocell sensors to synchronously transmit infrared transmission signals with preset encoding values, wherein the preset encoding values ​​include fixed encoding or cyclic encoding; an acquiring module for acquiring the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals corresponding to the two sets of infrared transmitted signals after reflection; a judging module for judging whether a valid gesture determination condition is met based on the signal strength, signal encoding matching degree, and reception time interval; and a control module for determining, if met, that the gesture currently detected by the two sets of infrared photocell sensors is a valid gesture, and controlling the range hood to perform a control action corresponding to the control command based on the control command corresponding to the valid gesture.

[0018] The range hood gesture recognition control system according to an embodiment of the present invention is used to implement the range hood gesture recognition control method of the above embodiment of the present invention. First, it controls two sets of infrared photocell sensors to synchronously emit infrared transmission signals with preset encoding values. Then, it acquires the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals after reflection of the two sets of infrared transmission signals. Next, based on the signal strength, signal encoding matching degree, and reception time interval, it determines whether the valid gesture determination condition is met. Finally, when the valid gesture determination condition is met, it determines that the gesture currently detected by the two sets of infrared photocell sensors is a valid gesture, and controls the range hood to execute control actions corresponding to the control commands based on the control commands corresponding to the valid gestures. This is achieved through... By controlling the two sets of infrared photocell sensors to transmit preset coded signals synchronously and periodically, rather than transmitting them in a time-division or random manner, the risk of signal collisions and mutual interference is reduced. This also provides a unified time reference for the backend to perform collaborative logic judgments of dual signals (such as interval timing), which is the foundation for achieving high-precision gesture timing judgment. At the same time, by performing encoding verification, intensity verification, and dual-channel association judgment based on timing logic on the two sets of infrared received signals, a comprehensive judgment is made on whether the valid gesture judgment conditions are met. This enables efficient, reliable, and interference-resistant non-contact hand gesture recognition, solving the key technical problem of gesture recognition accuracy and stability in complex environments. As a result, the range hood can be accurately controlled based on the valid gestures after accurate judgment, which helps to improve the user experience.

[0019] To achieve the above objectives, a third aspect of the present invention provides a range hood, comprising: two sets of infrared photocell sensors; and a range hood gesture recognition control system as described in the above embodiments of the present invention; or, a processor, a memory, and a range hood gesture recognition control program stored in the memory and executable on the processor, wherein the range hood gesture recognition control program, when executed by the processor, implements the range hood gesture recognition control method as described in the above embodiments of the present invention.

[0020] According to an embodiment of the present invention, a range hood is used to implement the range hood gesture recognition control method of the above embodiment of the present invention. First, two sets of infrared photodiode sensors are controlled to synchronously emit infrared transmission signals with preset encoding values. Then, the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals corresponding to the two sets of infrared transmitted signals after reflection are acquired. Next, based on the signal strength, signal encoding matching degree, and reception time interval, it is determined whether the valid gesture determination condition is met. Finally, when the valid gesture determination condition is met, the gesture currently detected by the two sets of infrared photodiode sensors is determined to be a valid gesture. Based on the control command corresponding to the valid gesture, the range hood is controlled to execute the control action corresponding to the control command. This is achieved by controlling the two sets of infrared photodiode sensors... The infrared photocell sensor uses synchronous periodic transmission of preset coded signals, rather than time-division or random transmission. This not only reduces the risk of signal collisions and mutual interference, but also provides a unified time reference for the backend to perform collaborative logic judgment of dual signals (such as interval timing), which is the foundation for achieving high-precision gesture timing judgment. At the same time, by performing encoding verification, intensity verification, and dual-channel association judgment based on timing logic on the two sets of infrared received signals, a comprehensive judgment is made on whether the valid gesture judgment conditions are met. This enables efficient, reliable, and interference-resistant non-contact hand gesture recognition, solving the key technical problems of gesture recognition accuracy and stability in complex environments. As a result, the range hood can be accurately controlled based on the accurately judged valid gestures, which helps to improve the user experience.

[0021] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the description of the embodiments taken in conjunction with the following drawings, in which: Figure 1 This is a flowchart of a gesture recognition control method for a range hood according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the installation of two sets of infrared photocell sensors according to a specific embodiment of the present invention; Figure 3This is a schematic diagram of a gesture recognition control system for a range hood according to a specific embodiment of the present invention; Figure 4 This is a flowchart of a gesture recognition control method for a range hood according to a specific embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of a gesture recognition control system for a range hood according to an embodiment of the present invention.

[0023] Figure label: 100 - Smoke hood gesture recognition control system; 110 - Transmitting module; 120 - Acquisition module; 130 - Judgment module; 140 - Control module; 200 - Smoke hood; 210 - Infrared photocell sensor. Detailed Implementation

[0024] The embodiments of the present invention are described in detail below. The embodiments described with reference to the accompanying drawings are exemplary. The embodiments of the present invention are described in detail below.

[0025] The following is for reference. Figures 1-5 This invention describes a gesture recognition control method, system, and range hood for a range hood according to embodiments of the present invention.

[0026] In one embodiment of the present invention, the range hood includes two sets of infrared photocell sensors arranged at a certain distance in the horizontal direction. Specifically, for example, one set of infrared photocell sensors is arranged on each of the left and right sides of the range hood, so that gesture recognition can be performed based on the infrared signals emitted and received by the two sets of infrared photocell sensors.

[0027] Figure 1 This is a flowchart of a gesture recognition control method for a range hood according to an embodiment of the present invention. Figure 1 As shown, the gesture recognition control method for the range hood includes the following steps: Step S1: Control two sets of infrared photocell sensors to synchronously emit infrared transmission signals with preset encoding values, wherein the preset encoding values ​​include fixed encoding or cyclic encoding.

[0028] In a specific embodiment, the infrared pair sensor consists of an infrared emitting tube and a receiving tube, and mainly operates in the invisible infrared band (wavelength > 0.76 micrometers). Specifically, the infrared emitting tube is made of arsenic trioxide and emits infrared light in the 830-950nm band when powered on. Common wavelengths include 850nm (monitoring equipment), 875nm (medical equipment), and 940nm (remote control). The receiving tube is a photodiode or an integrated signal amplifier circuit receiver head that senses the infrared signal by detecting changes in photocurrent and outputs high and low level signals. The infrared emitting tube continuously emits infrared light in a specific band, and the receiving tube monitors whether there is light return. When there is no object in the detection range, the light intensity received by the receiving tube is weak. When there is an object blocking the infrared light, the reflected or absorbed infrared light causes a change in the signal. The receiving tube converts the light signal into an electrical signal and amplifies it, outputting a digital signal (such as high and low level) to trigger control actions. The transmission distance can be increased by adjusting the pulse duty cycle (such as 1 / 4 to 1 / 10). Common power levels are divided into low power (1mW~10mW), medium power (20mW~50mW), and high power (50mW~100mW).

[0029] In specific embodiments, preset encoding values ​​include, for example, fixed encoding or cyclic encoding, to ensure the comprehensiveness and diversity of the encoding, thereby ensuring the security of infrared signal transmission. Specifically, the fixed encoding mechanism is as follows: each data unit uses a fixed-length binary representation, the address code remains unchanged, and pairing is usually achieved through different combinations (such as a remote control fixed code system), suitable for scenarios requiring fast and stable processing; the application scenarios of fixed encoding are: widely used in communication protocols, database fields, character encoding, etc., for example, ASCII character encoding uses fixed-length encoding to ensure processing efficiency and clear format; the cyclic encoding mechanism is: encoding based on periodic features, by capturing cyclical patterns in the data (such as daily, weekly, monthly, etc. periodic features of time series), often used in deep learning or time series analysis to improve the model's ability to recognize periodic patterns; the application scenarios of cyclic encoding are: mostly used in time series prediction, energy consumption analysis, etc., to optimize model performance by extracting periodic features. Specifically, according to the gesture recognition control method for a smoke machine provided in the embodiments of the present invention, the two sets of infrared photocell sensors are first controlled to transmit preset coded signals synchronously and periodically, rather than transmitting them in a time-division or random manner. This not only reduces the risk of signal collision and mutual interference, but also provides a unified time reference for the backend to perform collaborative logic judgment of dual signals (such as interval timing), which is the basis for realizing high-precision gesture timing determination.

[0030] Step S2: Obtain the signal strength, signal coding matching degree, and reception time interval between the two sets of infrared received signals corresponding to the two sets of infrared transmitted signals after reflection.

[0031] Specifically, according to the gesture recognition control method for a range hood provided in the embodiments of the present invention, the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals corresponding to the two sets of infrared transmitted signals after reflection are obtained as the basis for subsequent judgment of gesture validity.

[0032] Step S3: Based on signal strength, signal coding matching degree and reception time interval, determine whether the valid gesture determination conditions are met.

[0033] In a specific embodiment, the determination of whether a valid gesture is met is based on signal strength, signal encoding matching degree, and reception time interval. Specifically, for example, if the signal encoding of the two sets of infrared received signals does not match the preset encoding value of the infrared transmitted signal, or the strength of the infrared received signal is low, or the reception time interval between the two sets of infrared received signals is long, it can be determined that the valid gesture determination condition is not met.

[0034] Specifically, according to the gesture recognition control method for a smoke machine provided in the embodiments of the present invention, the method then determines whether the valid gesture determination conditions are met based on the signal strength, signal encoding matching degree, and reception time interval. That is, by performing encoding verification, strength verification, and dual-channel association decision based on timing logic on two sets of infrared received signals, the method comprehensively determines whether the valid gesture determination conditions are met. In this way, efficient, reliable, and interference-resistant non-contact hand gesture recognition can be performed, solving the key technical problem of gesture recognition accuracy and stability in complex environments.

[0035] Step S4: If satisfied, determine that the gesture currently detected by the two sets of infrared photocell sensors is a valid gesture, and control the smoke machine to perform the control action corresponding to the control command based on the control command corresponding to the valid gesture.

[0036] In a specific embodiment, when the valid gesture determination condition is met, the gesture currently detected by the two sets of infrared photocell sensors is determined to be a valid gesture. Based on the control command corresponding to the valid gesture, the range hood is then controlled to perform the corresponding control action. Specifically, valid gestures include, but are not limited to, waving to the left or right, and the corresponding control commands include, but are not limited to, turning the machine on / off, and increasing / decreasing the airflow.

[0037] Specifically, according to the range hood gesture recognition control method provided in the embodiments of the present invention, when it is determined that the valid gesture determination condition is met, the gesture currently detected by the two sets of infrared photocell sensors is determined to be a valid gesture. The range hood is then controlled to perform control actions corresponding to the control commands based on the control commands corresponding to the valid gestures. This allows for accurate control of the range hood based on the accurately determined valid gestures, thereby helping to improve the user experience.

[0038] Therefore, according to the gesture recognition control method for a range hood according to an embodiment of the present invention, firstly, two sets of infrared photodiode sensors are controlled to synchronously emit infrared transmission signals with preset encoding values. Then, the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals corresponding to the two sets of infrared transmitted signals after reflection are obtained. Next, based on the signal strength, signal encoding matching degree, and reception time interval, it is determined whether the valid gesture determination condition is met. Finally, when it is determined that the valid gesture determination condition is met, the gesture currently detected by the two sets of infrared photodiode sensors is determined to be a valid gesture. Based on the control command corresponding to the valid gesture, the range hood is controlled to execute the control action corresponding to the control command. In this way, the two sets of infrared photodiode sensors are controlled to perform the control action corresponding to the control command. The device uses synchronous periodic transmission of preset coded signals, rather than time-division or random transmission. This not only reduces the risk of signal collisions and mutual interference, but also provides a unified time reference for the backend to perform collaborative logic judgment of dual signals (such as interval timing), which is the basis for achieving high-precision gesture timing judgment. At the same time, by performing encoding verification, intensity verification, and dual-channel association judgment based on timing logic on two sets of infrared received signals, it comprehensively judges whether the valid gesture judgment conditions are met. It can perform efficient, reliable, and anti-interference-resistant non-contact hand gesture recognition, solving the key technical problems of gesture recognition accuracy and stability in complex environments. Thus, it can accurately control the smoke machine based on the valid gestures after accurate judgment, which helps to improve the user experience.

[0039] In one embodiment of the present invention, step S3 determines whether the valid gesture determination condition is met based on signal strength, signal coding matching degree, and reception time interval. This includes: determining whether the signal codes of the two demodulated infrared received signals match a preset coding value; if they match, generating a valid coded signal; determining whether the signal strength currently received by the infrared received signal that generated the valid coded signal is greater than or equal to the current preset strength reference threshold; if so, determining that the infrared received signal has triggered a valid event; recording the occurrence time of the valid trigger event in response to any one infrared received signal triggering a valid event; querying the historical trigger record of the other infrared received signal before the valid trigger event when the one infrared received signal triggers a valid event; and determining that the valid gesture determination condition is met when, according to the historical trigger record, the other infrared received signal has triggered a valid event only once within a preset time window before the valid trigger event of the one infrared received signal.

[0040] In a specific embodiment, encoding verification is first performed to effectively eliminate interference from other infrared sources in the environment (such as remote controls or sunlight). Specifically, this involves demodulating the two sets of infrared received signals to obtain signal encoding, and then checking whether the signal encoding matches a preset encoding value. If they match, a valid encoded signal is generated.

[0041] In a specific embodiment, a strength check is then performed based on the encoding check to prevent false triggering caused by slight disturbances or distant objects. Specifically, it is determined whether the signal strength of the infrared received signals that generated the coded valid signal is greater than or equal to the corresponding preset strength reference threshold. If so, it is determined that the infrared received signals have triggered a valid event. The preset strength reference threshold can be determined based on the ambient noise.

[0042] In a specific embodiment, a dual-channel association decision based on timing logic is finally performed. Utilizing the inherent left-right sequence and specific time interval characteristics of the waving gesture, it can accurately distinguish genuine waving gestures from other forms of random occlusion, effectively avoiding false alarms. Specifically, for example, in response to a valid trigger event of the left infrared receiving signal, the occurrence time of the valid trigger event on the left is recorded. Then, historical trigger records preceding valid trigger events of the right infrared receiving signal are queried. If, based on the historical trigger records, it is determined that within a preset time window preceding the valid trigger event of the left infrared receiving signal, there is exactly one valid trigger event of the right infrared receiving signal, the valid gesture determination condition is met. Alternatively, in response to a valid trigger event of the right infrared receiving signal, the occurrence time of the valid trigger event on the right is recorded. Then, historical trigger records preceding valid trigger events of the left infrared receiving signal are queried. If, based on the historical trigger records, it is determined that within a preset time window preceding the valid trigger event of the right infrared receiving signal, there is exactly one valid trigger event of the left infrared receiving signal, the valid gesture determination condition is met. The preset time window is set as needed.

[0043] Specifically, the gesture recognition control method for a range hood provided in this embodiment of the invention first performs encoding verification to effectively eliminate interference from other infrared sources in the environment (such as remote controls and sunlight). Then, based on the encoding verification, intensity verification is performed to prevent false triggering caused by slight disturbances or distant objects. This dual filtering mechanism greatly ensures the validity of each triggering event. Finally, a dual-channel association decision based on time-series logic is performed. By utilizing the inherent left-right sequence and specific time interval characteristics of the waving action, the true waving action can be accurately distinguished from other forms of random occlusion, effectively avoiding false alarms. In this way, by performing encoding verification, intensity verification, and dual-channel association decision based on time-series logic on two sets of infrared received signals, a comprehensive judgment is made on whether the valid gesture determination conditions are met. This enables efficient, reliable, and interference-resistant non-contact waving action recognition, solving the key technical problems of gesture recognition accuracy and stability in complex environments.

[0044] In one embodiment of the present invention, the intensity of infrared noise in the environment is sampled in real time, and the intensity reference threshold is dynamically adjusted based on the intensity of the ambient infrared noise.

[0045] Specifically, the gesture recognition control method for a smoke machine provided according to the embodiments of the present invention does not use a fixed signal strength threshold, but instead samples ambient infrared noise in real time and dynamically adjusts the judgment criterion for signal strength. This feature enables the recognition to have a strong environmental adaptability, and can maintain a stable and reliable recognition rate under different lighting and infrared noise backgrounds, significantly improving anti-interference performance and practicality.

[0046] In one embodiment of the present invention, the real-time sampling of infrared noise intensity in the environment and the dynamic adjustment of the intensity reference threshold based on the ambient infrared noise intensity include: during a period when no infrared signal with a preset coding value is emitted, performing analog-to-digital conversion sampling on the received ambient infrared noise signal to obtain an ambient noise intensity value; and setting the intensity reference threshold to the ambient noise intensity value plus a fixed anti-interference margin.

[0047] In a specific embodiment, during periods when no infrared signal with a preset encoding value is emitted, interference from other infrared signals can be avoided. The ambient infrared noise signal is sampled in real time, then analog-to-digital converted and sampled to obtain the ambient noise intensity value. Finally, the intensity reference threshold is dynamically adjusted based on the ambient noise intensity value. Specifically, the intensity reference threshold is set to the ambient noise intensity value plus a fixed anti-interference margin, which is set as needed.

[0048] Specifically, according to the gesture recognition control method for a smoke machine provided in the embodiments of the present invention, during the period when no infrared signal with a preset encoding value is emitted, the received environmental infrared noise signal is sampled by analog-to-digital conversion to obtain the environmental noise intensity value; the intensity reference threshold is set as the environmental noise intensity value plus a fixed anti-interference margin; the intensity reference threshold is dynamically adjusted in this way, so that the recognition has a strong environmental adaptability and can maintain a stable and reliable recognition rate under different lighting and infrared noise backgrounds, significantly improving anti-interference performance and practicality.

[0049] In one embodiment of the present invention, in response to a valid trigger event occurring in any group of infrared received signals, recording the occurrence time of the valid trigger event further includes: incrementing the valid trigger counter corresponding to the group of infrared received signals.

[0050] In a specific embodiment, a valid trigger counter is also set for each group of infrared received signals to facilitate the counting of valid trigger counts for the corresponding group of infrared received signals. Specifically, when a valid trigger event occurs in any group of infrared received signals, not only is the time of occurrence of the valid trigger event recorded, but the valid trigger counter corresponding to that group of infrared received signals is also incremented.

[0051] Specifically, according to the gesture recognition control method for a range hood provided in the embodiments of the present invention, in response to a valid trigger event occurring in any group of infrared received signals, the occurrence time of the valid trigger event is recorded, and the valid trigger counter corresponding to the group of infrared received signals is incremented to facilitate the counting of the number of valid triggers of the corresponding group of infrared received signals, thereby facilitating the determination of whether the valid gesture judgment condition is met based on the number of valid triggers.

[0052] In one embodiment of the present invention, querying the historical trigger records in which another set of infrared received signals has a valid trigger event before it includes: querying the value of the valid trigger counter corresponding to the other set of infrared received signals.

[0053] In a specific embodiment, the historical trigger records prior to a valid trigger event for another set of infrared received signals are retrieved by querying the value of the valid trigger counter corresponding to that set of infrared received signals. Specifically, if it is determined that the value of the valid trigger counter corresponding to the other set of infrared received signals is 1 within a preset time window before a valid trigger event occurs for one set of infrared received signals, then it is determined that the other set of infrared received signals has one and only one valid trigger event.

[0054] Specifically, according to the gesture recognition control method for a range hood provided in the embodiments of the present invention, by querying the value of the valid trigger counter corresponding to another set of infrared received signals, the historical trigger records in which the valid trigger event of the other set of infrared received signals occurred can be quickly determined, thereby quickly determining whether the valid gesture determination conditions are met.

[0055] In one embodiment of the present invention, the gesture recognition control method for the range hood further includes: setting independent timeout timers for the two sets of infrared received signals respectively; after recording the occurrence time of the effective triggering event in response to the occurrence of an effective triggering event of any set of infrared received signals, the method further includes: resetting the timeout timer corresponding to the set of infrared received signals.

[0056] In a specific embodiment, a timeout timer is also set for each group of infrared received signals to facilitate efficient management of abnormal situations. Specifically, for example, if a signal is suddenly interrupted or continuously blocked, and no normal signal is received within a preset time, it indicates that a valid gesture has not been completed, and a reset operation is performed to avoid deadlock or error state, thus ensuring the robustness and stability of the process.

[0057] In a specific embodiment, after a valid trigger event occurs in response to any group of infrared received signals, the timeout timer corresponding to that group of infrared received signals is reset after the valid trigger event is determined to be complete.

[0058] Specifically, according to the gesture recognition control method for a range hood provided in the embodiments of the present invention, independent timeout timers are set for the two sets of infrared receiving signals respectively. In response to a valid trigger event occurring in either set of infrared receiving signals, the time of occurrence of the valid trigger event is recorded, and then the timeout timer corresponding to that set of infrared receiving signals is reset. This avoids deadlock or error state and ensures the robustness and stability of the process.

[0059] In one embodiment of the present invention, if the timeout timer corresponding to a certain group of infrared received signals reaches the preset timeout duration, and no new valid triggering event occurs corresponding to that group of infrared received signals, then the historical triggering record corresponding to that group of infrared received signals is cleared.

[0060] In a specific embodiment, if the timeout timer corresponding to a certain group of infrared received signals reaches its preset timeout duration, and no new valid trigger event occurs corresponding to that group of infrared received signals, then the historical trigger record corresponding to that group of infrared received signals is cleared. Specifically, for example, during a wave, the user might suddenly stop halfway through the gesture or remove their hand from the sensing area. Without a timeout timer, the system would continuously wait for a signal from the other side, thus becoming "stuck" in a waiting state and unable to reset to detect the next new wave action. By setting a timeout timer to clear the historical trigger record corresponding to that group of infrared received signals in such situations, this problem can be avoided.

[0061] Specifically, according to the gesture recognition control method for a range hood provided in the embodiments of the present invention, if the timeout timer corresponding to a certain group of infrared received signals reaches the preset timeout duration and no new valid trigger event occurs corresponding to that group of infrared received signals, then the historical trigger record corresponding to that group of infrared received signals is cleared; thereby avoiding deadlock or error state and ensuring the robustness and stability of the process.

[0062] The following describes the gesture recognition control method for a range hood according to the above embodiments of the present invention with reference to specific examples. In this specific embodiment, a gesture recognition control method and system for a range hood is provided. The method utilizes two sets of infrared photodiodes on the left and right sides to transmit, receive, and make logical judgments, thereby achieving accurate detection of left and right hand waving actions, reducing the probability of the device being falsely triggered by other infrared devices, and improving the user experience.

[0063] Figure 2 This is a schematic diagram illustrating the installation of two sets of infrared photocell sensors according to a specific embodiment of the present invention. Figure 2 As shown in this specific embodiment, two sets of infrared photocell sensors are installed on the left and right sides of the display panel of the smoke machine system.

[0064] Figure 3 This is a schematic diagram of a gesture recognition control system for a range hood according to a specific embodiment of the present invention. Figure 3 As shown in this specific embodiment, the smoke machine gesture recognition control system includes a left infrared photodiode detection module and a right infrared photodiode detection module connected to a microcontroller unit (MCU).

[0065] Figure 4 This is a flowchart of a gesture recognition control method for a range hood according to a specific embodiment of the present invention. Figure 4 As shown, the method for implementing the gesture recognition control of a range hood through the above-mentioned range hood gesture recognition control system includes the following steps: S10: Signal transmission and environmental noise processing.

[0066] S20: Signal reception and validity assessment.

[0067] S30: Signal strength check.

[0068] S40: Counting and Timeout Monitoring.

[0069] S50: Logic judgment of waving action.

[0070] S60: Gesture recognition complete.

[0071] In this specific embodiment, S10 signal transmission and environmental noise processing includes: two infrared diodes, one on the left and one on the right, simultaneously transmitting infrared signals with preset encoding values ​​at a fixed cycle period. The system simultaneously samples the received signal strength, processes infrared noise in the environment in real time, and dynamically adjusts the strength reference threshold for determining signal validity to enhance anti-interference capabilities.

[0072] In this specific embodiment, the S20 signal reception and validity judgment includes: the system determines whether the left and right infrared pairs receive infrared signals consistent with the transmission code; if the left pair receives the same code value, the left channel subsequent processing is performed; if the right pair receives the same code value, the right channel subsequent processing is performed.

[0073] In this specific embodiment, the S30 signal strength verification includes: when any channel receives a valid code, further determining whether the signal strength is within a preset valid range; if the strength meets the requirements, then proceeding to the counting and timing stage; otherwise, it is considered an invalid signal and not processed.

[0074] In this specific embodiment, S40 counting and timeout monitoring includes: for the left or right pair of transistor signals that have passed the verification, recording the number of times the pair of transistors on that side is received, and simultaneously starting the corresponding reception timeout timer on that side to prevent false triggering or signal blocking.

[0075] In this specific embodiment, the S50 hand-waving action logic judgment includes: when one side of the duct (e.g., the left duct) triggers a valid occlusion, the system checks whether the other side (the right duct) has only had one valid occlusion event before. At the same time, it determines whether the time interval between the two occlusion events is within a preset reasonable range.

[0076] In this specific embodiment, the completion of gesture recognition in S60 includes: if the bilateral occlusion count and time interval conditions in S50 are both met, then it is determined that the user has successfully completed a left or right wave gesture, and the process ends.

[0077] In this specific embodiment, the following is combined with Figure 2 Taking the left-side pipe as an example, the gesture recognition control method for the range hood provided in this specific embodiment will be described in detail: (1) Control the left and right pairs of transmitters to simultaneously transmit a fixed code value data at a fixed period T.

[0078] (2) After the left-side transmitting tube sends data, the t1 timeout timer is started.

[0079] (3) Determine whether the t1 timeout timer has timed out. If so, close the receiving tube data window. Otherwise, the left infrared pair receiving tube receives the reflected data val_1 and the signal strength adc sample value val_1_adc.

[0080] (4) Determine if the received value sent and reflected is consistent with data=val_1? If not, clear the t1 timeout timer, close the receiver data window, and start irNoiseFilter() to dynamically calibrate the environment infrared noise processing and dynamically adjust the allowed received data strength value ir_threshold; if yes, determine if the signal strength val_1_adc is greater than the allowed received data strength value val_1_adc>ir_threshold? If not, clear the t1 timeout timer, close the receiver data window, and start irNoiseFilter() to dynamically calibrate the environment infrared noise processing and dynamically adjust the allowed received data strength value ir_threshold; if yes, record the number of times the left hand blocks: left_touch_cn++; start the left hand gesture trigger timeout timer: left_touch_timeout; execute (5) and (6) at the same time.

[0081] (5) Determine if the left gesture trigger timeout timer is greater than the timeout period left_touch_timeout > LEFT_MAX_TIMEOUT. If so, determine if the left gesture occlusion count left_touch_cn > 1. If so, clear the left gesture occlusion count left_touch_cn = 0.

[0082] (6) Determine if the right infrared transistor has not been triggered by normal gesture occlusion (right_touch_cn=0). If the right infrared transistor has not been triggered by normal gesture occlusion, determine if the number of times the left infrared transistor has been triggered by normal gesture occlusion is greater than 1 (left_touch_cn>1). If so, it is assumed that the left infrared transistor is triggered by normal gesture for the first time. At the same time, clear the trigger interval timer (left_touch_cn=1; touch_lnterval_t=0) and start recording the time interval between triggering the left and right infrared transistors (touch_lnterval_t).

[0083] (7) Determine if the right infrared pair has triggered a normal gesture occlusion (right_touch_cn=1). If not, determine the number of times the infrared pair has triggered the gesture (right_touch_cn=0). If yes, determine if the left infrared pair has triggered a normal gesture occlusion (left_touch_cn=1) for the first time. If yes, determine if the timer for the triggering interval between the left and right infrared pairs is within the range (touch_lnterval_t>touch_lnterval_t_min) & (touch_lnterval_t<touch_lnterval_t_max). If yes, it is confirmed that the left hand was executed normally once.

[0084] In this specific embodiment, taking the right-side tube as an example, the process corresponds to that of the left-side tube described above, and will not be repeated here.

[0085] As can be seen from this specific embodiment, the gesture recognition control method and system for the range hood have the following beneficial effects: First, a synchronous transmission and collaborative processing mechanism was established: the left and right infrared transistors transmit preset encoded signals synchronously and periodically, rather than transmitting them in a time-division or random manner. This design not only reduces the risk of signal collisions and mutual interference, but also provides a unified time reference for the backend to perform collaborative logic judgment of dual signals (such as interval timing), which is the basis for realizing high-precision gesture timing judgment.

[0086] Secondly, the system features environmentally adaptive dynamic noise suppression: instead of using a fixed signal strength threshold, it samples ambient infrared noise in real time and dynamically adjusts the judgment criterion for signal strength. This feature enables the system to have strong environmental adaptability, maintain a stable and reliable recognition rate under different lighting and infrared noise backgrounds, and significantly improve anti-interference performance and practicality.

[0087] Next, a dual verification mechanism is used to ensure trigger reliability: The identification process introduces a dual verification mechanism: code verification: first, it is determined whether the received data matches the fixed code value transmitted, effectively eliminating interference from other infrared sources in the environment (such as remote control, sunlight); strength verification: based on the code matching, it is further determined whether the signal strength is within the effective range, preventing false triggering caused by slight disturbances or distant objects; this dual filtering mechanism greatly ensures the validity of each triggering event.

[0088] Then, a dual-channel correlation decision based on timing logic is performed: the dual-channel signals are correlated and timed. It does not judge the left and right signals independently, but requires that when one side is triggered, the other side must have one and only one specific historical trigger record; the time interval between the two triggers must be within a preset reasonable range. This mechanism cleverly utilizes the natural left-right sequence and specific time interval characteristics of the waving action, so as to accurately distinguish the real waving action from other forms of random occlusion, effectively avoiding false alarms.

[0089] Finally, a complete timeout and count fault tolerance management system was established: the system is equipped with an independent timeout timer and trigger count counter for each receiving side; this design feature enables efficient management of abnormal situations, such as sudden signal interruption or continuous obstruction, avoiding the system from falling into deadlock or error state, and ensuring the robustness and stability of the process.

[0090] In summary, this gesture recognition control method and system for a smoke machine, through the organic combination of synchronous transmission, dynamic noise suppression, dual verification, time-series logic association decision and fault tolerance management, forms a set of efficient, reliable and anti-interference-strong non-contact hand gesture recognition solutions, solving the key technical problems of gesture recognition accuracy and stability in complex environments.

[0091] In summary, the gesture recognition control method for a range hood according to an embodiment of the present invention first controls two sets of infrared photocell sensors to synchronously emit infrared transmission signals with preset encoding values. Then, it acquires the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals after reflection. Next, based on the signal strength, signal encoding matching degree, and reception time interval, it determines whether the valid gesture determination condition is met. Finally, when the valid gesture determination condition is met, the gesture currently detected by the two sets of infrared photocell sensors is determined to be a valid gesture. Based on the control command corresponding to the valid gesture, the range hood is controlled to execute the control action corresponding to the control command. This method controls the two sets of infrared photocell sensors to transmit infrared signals at a synchronized period. The sensor uses synchronous periodic transmission of preset coded signals, rather than time-division or random transmission. This not only reduces the risk of signal collisions and mutual interference, but also provides a unified time reference for the backend to perform collaborative logic judgment of dual signals (such as interval timing), which is the foundation for achieving high-precision gesture timing judgment. At the same time, by performing encoding verification, intensity verification, and dual-channel association judgment based on timing logic on the two sets of infrared received signals, a comprehensive judgment is made on whether the valid gesture judgment conditions are met. This enables efficient, reliable, and interference-resistant non-contact hand gesture recognition, solving the key technical problems of gesture recognition accuracy and stability in complex environments. As a result, the effective gestures after accurate judgment can be accurately controlled, which helps to improve the user experience.

[0092] Figure 5 This is a schematic diagram of the structure of a gesture recognition control system for a range hood according to an embodiment of the present invention. Figure 5As shown, in one embodiment of the present invention, a smoke hood gesture recognition control system 100 includes: a transmitting module 110, used to control two sets of infrared photocell sensors 210 to transmit infrared transmission signals with preset encoding values ​​at synchronous intervals, wherein the preset encoding values ​​include fixed encoding or cyclic encoding; an acquiring module 120, used to acquire the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals corresponding to the two sets of infrared transmitted signals after reflection; a judging module 130, used to judge whether the valid gesture determination conditions are met based on the signal strength, signal encoding matching degree, and reception time interval; and a control module 140, used to determine that the gesture currently detected by the two sets of infrared photocell sensors 210 is a valid gesture if the conditions are met, and to control the smoke hood 200 to perform control actions corresponding to the control commands based on the control commands corresponding to the valid gestures.

[0093] In one embodiment of the present invention, the determination module 130 determines whether the valid gesture determination condition is met based on signal strength, signal coding matching degree, and reception time interval. This includes: determining whether the signal codes of the two demodulated infrared received signals match a preset coding value; if they match, generating a valid coded signal; determining whether the signal strength currently received by the infrared received signal that generated the valid coded signal is greater than or equal to a preset strength reference threshold; if so, determining that the infrared received signal has triggered a valid event; recording the occurrence time of the valid trigger event in response to any one infrared received signal triggering a valid event; querying historical trigger records where the other infrared received signal triggered a valid event before the first one; and determining that the valid gesture determination condition is met when, based on the historical trigger records, the other infrared received signal has triggered a valid event only once within a preset time window before the first one infrared received signal triggered a valid event.

[0094] In one embodiment of the present invention, the determination module 130 samples the infrared noise intensity in the environment in real time and dynamically adjusts the intensity reference threshold based on the ambient infrared noise intensity.

[0095] In one embodiment of the present invention, the determination module 130 samples the infrared noise intensity in the environment in real time and dynamically adjusts the intensity reference threshold based on the ambient infrared noise intensity, including: during the period when no infrared signal with a preset coding value is emitted, performing analog-to-digital conversion sampling on the received ambient infrared noise signal to obtain the ambient noise intensity value; and setting the intensity reference threshold to the ambient noise intensity value plus a fixed anti-interference margin.

[0096] In one embodiment of the present invention, the determination module 130, in response to any group of infrared received signals generating a valid trigger event, records the occurrence time of the valid trigger event and further includes incrementing the valid trigger counter corresponding to the group of infrared received signals.

[0097] In one embodiment of the present invention, the determination module 130 queries the historical trigger records of another group of infrared received signals before the occurrence of a valid trigger event, including: querying whether the value of the valid trigger counter corresponding to the other group of infrared received signals is a preset value; if so, it is determined that the other group of infrared received signals has one and only one valid trigger event.

[0098] In one embodiment of the present invention, the judgment module 130 is further configured to: set independent timeout timers for the two sets of infrared received signals respectively; and after recording the occurrence time of the valid triggering event in response to a valid triggering event occurring in any set of infrared received signals, reset the timeout timer corresponding to that set of infrared received signals.

[0099] In one embodiment of the present invention, the judgment module 130 is further configured to: if the timeout timer corresponding to a certain group of infrared received signals reaches the preset timeout duration, and no new valid triggering event occurs corresponding to the group of infrared received signals, then clear the historical triggering record corresponding to the group of infrared received signals.

[0100] It should be noted that the specific implementation of the range hood gesture recognition control system in this embodiment of the invention is similar to the specific implementation of the range hood gesture recognition control method described in the above embodiments of the invention. For details, please refer to the description of the range hood gesture recognition control method section. To reduce redundancy, it will not be repeated here.

[0101] The range hood gesture recognition control system 100 according to an embodiment of the present invention is used to implement the range hood gesture recognition control method of the above embodiment. First, it controls two sets of infrared photocell sensors to synchronously emit infrared transmission signals with preset encoding values. Then, it acquires the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals after reflection of the two sets of infrared transmission signals. Next, based on the signal strength, signal encoding matching degree, and reception time interval, it determines whether the valid gesture determination condition is met. Finally, when the valid gesture determination condition is met, it determines that the gesture currently detected by the two sets of infrared photocell sensors is a valid gesture, and controls the range hood to execute control actions corresponding to the control commands based on the control commands corresponding to the valid gestures. This allows for the control of the range hood to perform control actions corresponding to the control commands. By controlling the two sets of infrared photocell sensors to transmit preset coded signals synchronously and periodically, rather than transmitting them in a time-division or random manner, the risk of signal collisions and mutual interference is reduced. This also provides a unified time reference for the backend to perform collaborative logic judgments of dual signals (such as interval timing), which is the foundation for achieving high-precision gesture timing judgment. At the same time, by performing encoding verification, intensity verification, and dual-channel association judgment based on timing logic on the two sets of infrared received signals, a comprehensive judgment is made on whether the valid gesture judgment conditions are met. This enables efficient, reliable, and interference-resistant non-contact hand gesture recognition, solving the key technical problem of gesture recognition accuracy and stability in complex environments. As a result, the range hood can be accurately controlled based on the valid gestures after accurate judgment, which helps to improve the user experience.

[0102] Figure 5 This is a schematic diagram of the structure of a range hood according to an embodiment of the present invention. Figure 5 As shown, a further embodiment of the present invention also discloses a range hood.

[0103] In some embodiments, the range hood 200 includes: two sets of infrared photocell sensors 210; and a range hood gesture recognition control system 100 as described in any of the above embodiments of the present invention.

[0104] In other embodiments, the range hood 200 includes: two sets of infrared photocell sensors 210; and a processor, a memory, and a range hood gesture recognition control program stored in the memory and executable on the processor, wherein the range hood gesture recognition control program, when executed by the processor, implements the range hood gesture recognition control method as described in any of the above embodiments of the present invention.

[0105] According to an embodiment of the present invention, a range hood 200 is used to implement the range hood gesture recognition control method of the above embodiment. First, two sets of infrared photocell sensors are controlled to synchronously emit infrared transmission signals with preset encoding values. Then, the signal strength, signal encoding matching degree, and reception time interval between the two sets of infrared received signals after reflection are acquired. Next, based on the signal strength, signal encoding matching degree, and reception time interval, it is determined whether the valid gesture determination condition is met. Finally, when the valid gesture determination condition is met, the gesture currently detected by the two sets of infrared photocell sensors is determined to be a valid gesture. Based on the control command corresponding to the valid gesture, the range hood is controlled to execute the control action corresponding to the control command. This is achieved by controlling the two sets of infrared photocell sensors... The infrared photocell sensor uses synchronous periodic transmission of preset coded signals, rather than time-division or random transmission. This not only reduces the risk of signal collisions and mutual interference, but also provides a unified time reference for the backend to perform collaborative logic judgment of dual signals (such as interval timing), which is the foundation for achieving high-precision gesture timing judgment. At the same time, by performing encoding verification, intensity verification, and dual-channel association judgment based on timing logic on the two sets of infrared received signals, a comprehensive judgment is made on whether the valid gesture judgment conditions are met. This enables efficient, reliable, and interference-resistant non-contact hand gesture recognition, solving the key technical problems of gesture recognition accuracy and stability in complex environments. As a result, the range hood can be accurately controlled based on the accurately judged valid gestures, which helps to improve the user experience.

[0106] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example.

[0107] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for gesture recognition control of a range hood, characterized in that, The smoke hood includes two sets of infrared photocells spaced at a certain distance in the horizontal direction, and the method includes: The two sets of infrared photocell sensors are controlled to emit infrared transmission signals with preset coded values ​​in a synchronous period, wherein the preset coded values ​​include fixed codes or cyclic codes; The signal strength, signal coding matching degree, and reception time interval between the two sets of infrared received signals are obtained after the two sets of infrared transmitted signals are reflected. Based on the signal strength, signal coding matching degree and the receiving time interval, determine whether the valid gesture determination condition is met; If the conditions are met, the gestures currently detected by the two sets of infrared photocell sensors are determined to be valid gestures, and the smoke machine is controlled to perform control actions corresponding to the control commands based on the control commands corresponding to the valid gestures.

2. The gesture recognition control method for a range hood according to claim 1, characterized in that, The step of determining whether the valid gesture determination condition is met based on the signal strength, signal coding matching degree, and the reception time interval includes: Determine whether the signal codes of the two demodulated infrared received signals match the preset coding value. If they match, generate a valid coded signal. Determine whether the signal strength of the infrared received signal that generated the coded valid signal is greater than or equal to the current preset strength reference threshold. If so, determine that the infrared received signal has triggered a valid event. In response to a valid trigger event occurring in any of the infrared received signals, the time of occurrence of the valid trigger event is recorded; When a valid trigger event occurs in one set of infrared received signals, query the historical trigger record of the previous set of infrared received signals that has already occurred. When, based on the historical trigger records, it is determined that within a preset time window prior to a valid trigger event occurring in one set of infrared received signals, another set of infrared received signals has exactly one valid trigger event, the valid gesture determination condition is met.

3. The gesture recognition control method for a range hood according to claim 2, characterized in that, The intensity of infrared noise in the environment is sampled in real time, and the intensity benchmark threshold is dynamically adjusted based on the ambient infrared noise intensity.

4. The gesture recognition control method for a range hood according to claim 3, characterized in that, The real-time sampling of infrared noise intensity in the environment, and the dynamic adjustment of the intensity reference threshold based on the ambient infrared noise intensity, includes: During the period when no infrared signal with the preset encoding value is emitted, the received ambient infrared noise signal is sampled by analog-to-digital conversion to obtain the ambient noise intensity value. The intensity benchmark threshold is set to the environmental noise intensity value plus a fixed anti-interference margin.

5. The gesture recognition control method for a range hood according to claim 2, characterized in that, The method of responding to a valid trigger event occurring in any group of the infrared received signals and recording the time of occurrence of the valid trigger event further includes: Increment the effective trigger counter corresponding to the infrared received signal in that group.

6. The gesture recognition control method for a range hood according to claim 5, characterized in that, The query of another set of historical trigger records prior to the valid trigger event of the infrared received signal includes: Query the value of the valid trigger counter corresponding to the other set of infrared received signals.

7. The gesture recognition control method for a range hood according to claim 2, characterized in that, Also includes: Set independent timeout timers for the two sets of infrared received signals respectively; After recording the time of occurrence of the effective triggering event in response to any of the infrared received signals, the method further includes: Reset the timeout timer corresponding to the infrared received signal in that group.

8. The gesture recognition control method for a range hood according to claim 7, characterized in that, If the timeout timer corresponding to a certain group of infrared received signals reaches the preset timeout duration, and no new valid triggering event occurs corresponding to that group of infrared received signals, then the historical triggering record corresponding to that group of infrared received signals is cleared.

9. A gesture recognition control system for a range hood, characterized in that, The smoke hood includes two sets of infrared photocells spaced at a certain distance in the horizontal direction, and the system includes: The transmitting module is used to control the two sets of infrared photocell sensors to transmit infrared transmission signals with preset encoding values ​​in a synchronous period, wherein the preset encoding values ​​include fixed encoding or cyclic encoding; The acquisition module is used to acquire the signal strength, signal coding matching degree, and reception time interval between the two sets of infrared received signals corresponding to the two sets of infrared transmitted signals after reflection. The judgment module is used to determine whether the valid gesture judgment conditions are met based on the signal strength, signal encoding matching degree and the receiving time interval. The control module is used to determine, if satisfied, that the gesture currently detected by the two sets of infrared photocell sensors is a valid gesture, and to control the smoke machine to perform a control action corresponding to the control command based on the control command corresponding to the valid gesture.

10. A range hood, characterized in that, include: Two sets of infrared photocell sensors; The gesture recognition control system for the range hood as described in claim 9; or, A processor, a memory, and a range hood gesture recognition control program stored in the memory and executable on the processor, wherein the range hood gesture recognition control program, when executed by the processor, implements the range hood gesture recognition control method as described in any one of claims 1-8.

Images