CN112347958B - Identification method, identification circuit and gesture identification equipment for obstacle detection signal - Google Patents
Identification method, identification circuit and gesture identification equipment for obstacle detection signal Download PDFInfo
- Publication number
- CN112347958B CN112347958B CN202011269879.1A CN202011269879A CN112347958B CN 112347958 B CN112347958 B CN 112347958B CN 202011269879 A CN202011269879 A CN 202011269879A CN 112347958 B CN112347958 B CN 112347958B
- Authority
- CN
- China
- Prior art keywords
- signal
- induction
- signal group
- signals
- preset threshold
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 36
- 230000006698 induction Effects 0.000 claims abstract description 76
- 238000004590 computer program Methods 0.000 claims description 10
- 239000003990 capacitor Substances 0.000 description 16
- 238000010586 diagram Methods 0.000 description 13
- 238000012545 processing Methods 0.000 description 8
- 241000256626 Pterygota <winged insects> Species 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000000087 stabilizing effect Effects 0.000 description 3
- 230000001960 triggered effect Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 239000012634 fragment Substances 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/107—Static hand or arm
- G06V40/113—Recognition of static hand signs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/107—Static hand or arm
- G06V40/117—Biometrics derived from hands
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Landscapes
- Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
A recognition method, a recognition circuit, gesture recognition equipment, a lamp and a computer readable storage medium for obstacle detection signals are provided, wherein a first signal group collected by a receiving module is obtained, a second signal group is generated according to the first signal group and a first preset threshold, if the number of induction signals in the second signal group is larger than the second preset threshold, the induction signals are judged to be obstacle detection signals, so that interference signals collected by the receiving module are filtered, accurate obstacle detection signals are obtained, the influence of a transparent plate or an interference object in front of the receiving module on recognition accuracy can be eliminated, and recognition accuracy is improved.
Description
Technical Field
The application belongs to the technical field of gesture recognition, and particularly relates to a recognition method, a recognition circuit, gesture recognition equipment, a lamp and a computer readable storage medium for obstacle detection signals.
Background
At present, a traditional gesture recognition sensor adopts infrared detection gestures, an infrared transmitting module transmits a beam of infrared light, the infrared light is reflected by a human hand and then is received by an infrared receiving module, the infrared light is converted into corresponding electric signals, a control module judges the electric signals, and a judgment result is output.
However, in an outdoor application scenario, because the outdoor environment is complex, in order to avoid damage to the sensor circuit by sundries such as dust, a transparent member is generally added at the front end of the gesture recognition sensor, and the transparent member affects the recognition accuracy of the gesture recognition sensor.
Disclosure of Invention
The application aims to provide a recognition method, a recognition circuit, gesture recognition equipment, a lamp and a computer readable storage medium for obstacle detection signals, and aims to solve the problem that recognition accuracy of a gesture recognition receiving module is affected after a transparent piece is added.
A first aspect of an embodiment of the present application provides a method for identifying an obstacle detection signal, including:
acquiring a first signal group acquired by a receiving module, wherein the first signal group is an induction signal acquired by the receiving module in a first preset time period;
generating a second signal group according to the first signal group and a first preset threshold, wherein the second signal group comprises induction signals larger than the first preset threshold;
and if the number of the induction signals in the second signal group is larger than a second preset threshold value, judging that the induction signals are obstacle detection signals.
Processing the first signal group by adopting a first preset threshold value to obtain a second signal group, wherein the first threshold value filters out the influence of the transparent plate on the identification result; the sensing signal which is larger than a second preset threshold value is judged to be an obstacle detection signal, and the influence of an interfering object on the identification result is filtered; the detection accuracy is improved.
In one embodiment, the identification method includes:
acquiring a reference signal group acquired by the receiving module; the reference signal group is a reference induction signal acquired by the receiving module in a second preset time period;
and acquiring a maximum reference induction signal value of the reference signal group, and setting the maximum reference induction signal value as the first preset threshold value.
In one embodiment, the reference signal group is a reference sensing signal acquired by the receiving module when no obstacle is shielding.
The maximum reference induction signal value of the reference signal group in the second preset time period is set to be a first preset threshold value, induction signals without obstacle shielding can be filtered, and induction signals with obstacle shielding can be screened out for subsequent processing.
In one embodiment, the identification method further comprises:
if the last induction signal in the first signal group is larger than the first preset threshold value, continuously acquiring induction signals in a second preset time period;
if the induction signal in the second preset time period is greater than the first preset threshold value, increasing the induction signal in the second preset time period to the second signal group, continuously collecting the induction signal in the third preset time period, and so on until the induction signal in the next time period is less than the first preset threshold value.
When the last induction signal in the first signal group is larger than the first preset threshold value, the obstacle at the tail end of the first signal group is not moved away, so that the induction signal of the first signal group is not the complete obstacle shielding process, the induction signal in the second preset time period is continuously collected, and the method is analogically adopted until the induction signal in the next time period is smaller than the first preset threshold value, the complete obstacle shielding process induction signal can be obtained, and the detection accuracy is improved.
In one embodiment, the first preset time period is the same as the second preset time period in time length.
In one embodiment, the generating the second signal group according to the first signal group and the first preset threshold value includes:
calculating an average value of the induction signals of the first signal group;
comparing the induction signals in the first signal group with the average value of the induction signals;
and comparing the compared induction signals with the first preset threshold value to generate a second signal group.
And the average value of the induction signals is adopted to filter out a part of induction signals which do not help to detect the obstacle, so that the data processing amount is reduced, and the system resources are saved.
A second aspect of an embodiment of the present application provides an identification circuit, including:
the transmitting module is used for transmitting infrared signals;
the receiving module is used for collecting induction signals generated after the infrared signals are reflected;
the control module is used for acquiring a first signal group acquired by the receiving module, wherein the first signal group is an induction signal acquired by the receiving module in a first preset time period; generating a second signal group according to the first signal group and a first preset threshold value; if the number of the sensing signals in the second signal group is greater than a second preset threshold, determining that the sensing signals are obstacle detection signals, wherein the second signal group comprises sensing signals greater than the first preset threshold.
A third aspect of an embodiment of the present application provides a gesture recognition apparatus, including a recognition circuit as described above, and a transparent member for protecting the recognition circuit.
A fourth aspect of the embodiments of the present application provides a luminaire comprising a gesture recognition device as described in the above embodiments.
A fifth aspect of an embodiment of the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method of identifying an obstacle detection signal as set forth in any one of the above.
The embodiment of the application provides a recognition method, a recognition circuit, gesture recognition equipment, a lamp and a computer readable storage medium for obstacle detection signals.
Drawings
Fig. 1 is a flow chart of a method for identifying an obstacle detection signal according to an embodiment of the application;
fig. 2 is a schematic structural diagram of an identification circuit of an obstacle detection signal according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an identification circuit of an obstacle detection signal according to another embodiment of the present application;
fig. 4 is a circuit diagram of a power supply module according to an embodiment of the present application;
FIG. 5 is a circuit diagram of a control module according to an embodiment of the present application;
FIG. 6 is a circuit diagram of a transmitting module according to an embodiment of the present application;
fig. 7 is a circuit diagram of a receiving module according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of a gesture recognition apparatus according to an embodiment of the present application.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It will be understood that when an element is referred to as being "mounted" or "disposed" on another element, it can be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It is to be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are merely for convenience in describing and simplifying the description based on the orientation or positional relationship shown in the drawings, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus are not to be construed as limiting the application.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
It should be understood that the sequence number of each step in the embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
Fig. 1 is a flowchart of an identification method of an obstacle detection signal according to an embodiment of the present application, as shown in fig. 1, where the identification method in the embodiment includes steps S10 to S30.
Step S10: and acquiring a first signal group acquired by the receiving module, wherein the first signal group is an induction signal acquired by the receiving module in a first preset time period.
In this embodiment, first, an induction signal acquired by the receiving module in a first preset time period is acquired, and the induction signal is used as a first signal group.
In one embodiment, the sensing signals collected by the receiving module are stored in the first signal group in the form of an array, for example, the sensing signals collected by the receiving module may be {1,2,1,1,4,5,5,5,6,6} within a first preset period of time, and the first signal group is [1,2,1,1,4,5,5,5,6,6].
In one embodiment, the receiving module in this embodiment may be an infrared gesture recognition module, for example, an infrared obstacle avoidance module, an infrared ranging module, and the like.
Step S20: and generating a second signal group according to the first signal group and a first preset threshold value, wherein the second signal group comprises induction signals larger than the first preset threshold value.
In this embodiment, the sensing signals in the first signal group are compared with a first preset threshold, and the sensing signals with the magnitude greater than the first preset threshold are used as the second signal group.
In one embodiment, the first preset threshold is 4.2, the first signal group is [1,2,1,1,4,5,5,5,6,6], and the sensing signal {5,5,5,6,6} greater than the first preset threshold in the first signal group is the sensing signal of the second signal group, i.e., the second signal group is [5,5,5,6,6].
In one embodiment, the first preset threshold may be preset by a user, or may be a first preset threshold calculated according to a preset method based on the first signal group.
In a specific application embodiment, the first signal group acquired in the first preset time period is [1,2,1,1,4,5,5,5,6,6], the maximum value of the sensing signals in the first signal group is calculated to be 6, the maximum value 6 is set as a first preset threshold, and the first preset threshold is used as a reference value to judge and process the sensing signals acquired in the second preset time period.
In one embodiment, in step S20, generating the second signal group according to the first signal group and the first preset threshold value includes: calculating an average value of the sensing signals of the first signal group; comparing the induction signals in the first signal group with the average value of the induction signals; specifically, removing the sensing signals smaller than the average value of the sensing signals in the first signal group; and comparing the compared induction signals with a first preset threshold value to generate a second signal group.
In this embodiment, the sensing signal lower than the average value of the sensing signal may be regarded as an obstacle detection signal, and removing the sensing signal smaller than the average value of the sensing signal may reduce the amount of data and improve the processing efficiency.
In one embodiment, the first signal set is [1,2,1,1,4,5,5,5,6,6], the average AVR of the sensing signals of the first signal set is calculated to be (1+2+1+4+5+5+6+6)/10=3.6, the sensing signal after the comparison processing greater than the average AVR is {4,5,5,5,6,6}, and the sensing signal greater than the first preset threshold value 4.2 in the sensing signal after the comparison processing is taken out as the second signal set, which is [5,5,5,6,6].
In one embodiment, if the last sensing signal in the first signal group is greater than the first preset threshold, continuing to acquire the sensing signal in the second preset time period; if the induction signal in the second preset time period is larger than the first preset threshold value, the induction signal in the second preset time period is added to the second signal group, the induction signal in the third preset time period is continuously collected, and the like until the induction signal in the next time period is smaller than the first preset threshold value.
In one embodiment, the last sensing signal value 6 of the first signal group [1,2,1,1,4,5,5,5,6,6] in the first preset time period is greater than the first preset threshold value 4.2, the receiving module continues to collect sensing signals in the second preset time period to obtain sensing signal values {6,6,5,5,5,7,7,7,6,6}, the sensing signals of the signal groups in the second preset time period are all greater than the first preset threshold value 4.2, all sensing signals of the signal groups in the second preset time period are added to the second signal group, continues to collect sensing signals in the third preset time period, and so on until the sensing signal values of the sensing signals in the next time period are less than the first preset threshold value 4.2, for example, the sensing signals in the next time period are {6,6,5,4,3,2,1,1,1,1}, the sensing signals {6,6,5} greater than the first preset threshold value 4.2 are added to the second signal group because the sensing signal values 4 are less than the first preset threshold value 4.2, and then the sensing signals are stopped being collected.
Step S30: and if the number of the sensing signals in the second signal group is greater than a second preset threshold value, judging that the sensing signals are obstacle detection signals.
In this embodiment, after the second signal group is generated, the sensing signals in the second signal group are counted, if the number of sensing signals in the second signal group is greater than the second preset threshold, it may be determined that the sensing signals collected by the receiving module are effective obstacle detection signals, and since the receiving module is triggered by the obstacles such as the small winged insects and the fragments, the obstacle detection signals are obtained, but the time that the obstacles such as the small winged insects and the fragments stay in front of the receiving module 201 is very short, the effective obstacle detection signals are determined by determining the duration of the obstacle detection signals, so that the interference signals collected by the receiving module are filtered, and the accurate obstacle detection signals are obtained.
In one embodiment, the number of sensing signals in the second signal group [5,5,5,6,6] is 5, and if the second preset threshold is 4.5, the number of sensing signals in the second signal group is greater than 4.5, then the sensing signals detected by the receiving module may be determined to be useful obstacle detection signals.
In one embodiment, the second preset threshold is obtained by statistical analysis of obstacle detection signals triggered by human hands and winged insects.
In one embodiment, the statistical analysis is performed on the obstacle detection signals triggered by the human hand and the winged insect, when the human hand is placed at the front end of the receiving module, the sensing signal value of the sensing signal collected by the receiving module is [1,2,1,1,4,5,5,5,6,6], wherein the sensing signal value of the sensing signal corresponding to the front end of the receiving module is [5,5,5,6,6], and the array length of the sensing signal is 5. In a specific application embodiment, after multiple collection and analysis, the induction signal value of the induction signal corresponding to the front end of the receiving module is 5,6,8,9,10,15,6,7,5,7,5,8,5, the length is above 5, and when the interference object such as winged insects passes through the front end of the receiving module, the corresponding signal length is below 4, so that the second preset threshold should be set to a value between 4 and 5, and in one embodiment of the application, the second preset threshold is randomly selected to be 4.5.
Referring to fig. 2, fig. 2 is a schematic diagram of an identification circuit of an obstacle detection signal according to an embodiment of the present application, where the identification circuit of the obstacle detection signal includes: a receiving module 201, a control module 202 and a transmitting module 203.
In this embodiment, the output end of the receiving module 201 is connected to the input end of the control module 202, and the transmitting module 203 is connected to the first output end of the control module 202.
In the present embodiment, the receiving module 201 is configured to transmit an infrared signal; the receiving module 202 is used for collecting induction signals generated after reflection of infrared signals; the control module 203 is configured to obtain a first signal set collected by the receiving module, where the first signal set is an induction signal collected by the receiving module in a first preset time period; generating a second signal group according to the first signal group and a first preset threshold value; if the number of the sensing signals in the second signal group is greater than a second preset threshold, determining that the sensing signals are obstacle detection signals, wherein the second signal group comprises sensing signals greater than the first preset threshold.
In one embodiment, the control module 202 may further set the second output terminal to a high level or a low level according to the processed obstacle detection signal, so as to output a control signal to control other systems and devices; for example, the second output end is connected to the switch interface of the desk lamp, when the second output end outputs a high level, the desk lamp is turned on, and when the second output end outputs a low level, the desk lamp is turned off.
It should be noted that, for convenience and brevity, the specific working process of the control module 202 described above may refer to the corresponding process of the method described in fig. 1, and will not be described herein again.
In one embodiment, fig. 4 is a circuit diagram of a power supply module according to an embodiment of the present application.
Referring to fig. 4, the power supply module 301 includes a voltage stabilizing chip U1, a first resistor R1, a first capacitor C2, a third capacitor C3, and a fourth capacitor C4; the power input pin VIN of the voltage stabilizing chip U1 is grounded through a first capacitor C1, the power input pin VIN is further connected to an input port, the SHDN# pin is connected with the power input pin VIN through a first resistor R1, the ground pin GND is grounded, the BP pin is grounded through a second capacitor C2, the power output pin VOUT is grounded through a parallel circuit of a third capacitor C3 and a fourth capacitor C4, and the voltage output pin VOUT is further connected with the output end of the power supply module 301.
In this embodiment, the voltage stabilizing chip U1 is configured to convert the battery voltage input at the input terminal into a stable power supply voltage.
In one embodiment, the battery voltage is 3 to 4.3V, which is related to the battery charge, so that the battery voltage is unstable, and a stable 3.3V power supply voltage is output after the conversion by the power supply module 301.
In one embodiment, fig. 5 is a circuit diagram of a control module according to an embodiment of the present application.
Referring to fig. 5, the control module 202 includes a control chip U2, a second resistor R2, a third resistor R3, a fourth resistor R4, a fifth resistor R5, a sixth resistor R6, a seventh resistor R7, an eighth resistor R8, a fifth capacitor C5, and a sixth capacitor C6; the power supply pin VDD of the control chip U2 is grounded through a fifth capacitor C5, the power supply pin VDD is also connected to a power supply input end LED_3.3V, the second pin IOB5 is grounded through a second resistor R2, one end of a circuit formed by connecting a sixth capacitor C6 and a fourth resistor R4 in series is grounded after the sixth capacitor C6 and the fourth resistor R4 are connected in parallel, the other end of the circuit is connected with a detection port, the third pin IOA4 is connected to a common node of the third resistor R3 and the fourth resistor R4 through a fifth resistor R5, the sixth pin IOB4 is also connected to a first input end, the fifth pin IOB0 is grounded through a sixth resistor R6, the seventh pin IOA1 is connected to a first output end, the eighth pin IOA2 is connected to an alarm output end through a seventh resistor R7, and the ninth pin IO3 is connected to a second input end through an eighth resistor R8.
In this embodiment, the second pin IOB5 is used for detecting the second resistor R2, the third pin IOA4 is used for detecting the battery voltage, the sixth pin IOB4 is used for receiving the detection signal, and the seventh pin IOA1 is used for outputting high and low levels to control the external circuit.
In this embodiment, the third resistor R3 and the fourth resistor R4 form a series voltage dividing circuit, one end of the series circuit is connected to the detection port, and the detection port is connected to the voltage in the circuit, so as to realize the function of detecting the voltage in the circuit. The third pin IOA4 is used for detecting a voltage value at a common node of the third resistor R3 and the fourth resistor R4; the sixth pin IOB4 is used for receiving a signal from the receiving module 201, and the ninth pin IO3 is used for sending a signal to the receiving module; the seventh pin IOA7 is used to send control signals to the transmit module 203.
In this embodiment, the control chip U2 is configured to calculate an average value of the sensing signals in the first preset time period, and obtain a second signal group according to the sensing signals in the first preset time period, where the second signal group includes sensing signals greater than the average value and greater than a first preset threshold; if the number of the sensing signals in the second signal group is larger than a preset second preset threshold value, the gesture recognition is judged to be successful, and the pins are controlled to be in a high level or a low level according to the useful signals.
In one embodiment, fig. 6 is a circuit diagram of a transmitting module according to an embodiment of the present application.
Referring to fig. 6, the transmitting module 201 includes a transmitter U3, a ninth resistor R9; the input pin R+ of the transmitter U3 is connected to the first output end of the control module 202, and the output pin R-is grounded through a ninth resistor R9;
in the present embodiment, the transmitter U3 transmits an infrared signal according to an instruction of the control module 202; the input pin r+ is used for receiving a control signal of the control chip U2.
In one embodiment, FIG. 7 is a circuit diagram of a receiving module according to an embodiment of the present application
Referring to fig. 7, the receiving module 201 includes a receiver U4, a tenth resistor R10, a seventh capacitor C7, and an eighth capacitor C8;
the pin E of the receiver U4 is grounded through a parallel circuit of the tenth resistor R10 and the eighth capacitor C8, the signal output pin E of the receiver U4 is further connected to the first input terminal of the control module 202, the input pin C is grounded through the seventh capacitor C7, and the input pin C is further connected to the second input terminal of the control module 202.
The receiver U4 is configured to receive infrared rays reflected by an object, and convert the infrared rays into an electrical signal, where the electrical signal is an induction signal.
In one embodiment, fig. 8 is a schematic diagram of a gesture recognition apparatus according to an embodiment of the present application.
Referring to fig. 8, 801 is a transparent plate, which is disposed at front ends of a transmitter 802 and a receiver 803, wherein the transmitter 802 and the receiver 803 are separated by a baffle 804, and the transmitter 802 and the receiver 803 are fixed on a support frame 805;
the distance between the transmitter 802 of the transmitting module 203 and the receiver 803 of the receiving module 201 is 2mm, which cannot be smaller than 2mm, and if the distance between the transmitter 802 and the receiver 803 is smaller than 2mm, false triggering is likely to occur even if a baffle 804 is present.
The embodiment of the application also provides a lamp, which comprises the gesture recognition device according to any one of the embodiments, wherein the gesture recognition device is used for recognizing gestures of a user and sending corresponding recognition signals to a lamp control center.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (9)
1. A method of identifying an obstacle detection signal, comprising:
acquiring a first signal group acquired by a receiving module, wherein the first signal group is an induction signal acquired by the receiving module in a first preset time period;
generating a second signal group according to the first signal group and a first preset threshold, wherein the second signal group comprises induction signals larger than the first preset threshold;
if the number of the induction signals in the second signal group is larger than a second preset threshold value, judging that the induction signals are obstacle detection signals;
if the last induction signal in the first signal group is larger than the first preset threshold value, continuously acquiring induction signals in a second preset time period;
if the induction signal in the second preset time period is greater than the first preset threshold value, increasing the induction signal in the second preset time period to the second signal group, continuously collecting the induction signal in the third preset time period, and so on until the induction signal in the next time period is less than the first preset threshold value.
2. The method of identifying an obstacle detection signal as claimed in claim 1, wherein the identifying method comprises:
acquiring a reference signal group acquired by the receiving module; the reference signal group is a reference induction signal acquired by the receiving module in a second preset time period;
and acquiring a maximum reference induction signal value of the reference signal group, and setting the maximum reference induction signal value as the first preset threshold value.
3. The method for identifying an obstacle detection signal according to claim 2, wherein the reference signal group is a reference sensing signal acquired by the receiving module when no obstacle is present.
4. The method of identifying an obstacle detection signal as claimed in claim 1, wherein the first preset time period is the same as the second preset time period in time length.
5. The method of identifying an obstacle detection signal as claimed in claim 1, wherein said generating a second signal set from said first signal set and a first preset threshold value comprises:
calculating an average value of the induction signals of the first signal group;
comparing the induction signals in the first signal group with the average value of the induction signals;
and removing the induction signals smaller than the average value of the induction signals in the first signal group, and comparing the compared induction signals with the first preset threshold value to generate a second signal group.
6. An identification circuit of an obstacle detection signal, comprising:
the transmitting module is used for transmitting infrared signals;
the receiving module is used for collecting induction signals generated after the infrared signals are reflected;
the control module is used for acquiring a first signal group acquired by the receiving module, wherein the first signal group is an induction signal acquired by the receiving module in a first preset time period; generating a second signal group according to the first signal group and a first preset threshold value; if the number of the induction signals in the second signal group is larger than a second preset threshold, judging that the induction signals are obstacle detection signals, and if the last induction signal in the first signal group is larger than the first preset threshold, continuing to acquire the induction signals in a second preset time period; if the induction signal in the second preset time period is larger than the first preset threshold value, increasing the induction signal in the second preset time period to the second signal group, continuously collecting the induction signal in a third preset time period, and so on until the induction signal in the next time period is smaller than the first preset threshold value; the second signal group comprises sensing signals larger than the first preset threshold value.
7. A gesture recognition apparatus comprising the recognition circuit of the obstacle detection signal according to claim 6, and a transparent member for protecting the recognition circuit.
8. A luminaire comprising the gesture recognition apparatus of claim 7.
9. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011269879.1A CN112347958B (en) | 2020-11-13 | 2020-11-13 | Identification method, identification circuit and gesture identification equipment for obstacle detection signal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011269879.1A CN112347958B (en) | 2020-11-13 | 2020-11-13 | Identification method, identification circuit and gesture identification equipment for obstacle detection signal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112347958A CN112347958A (en) | 2021-02-09 |
| CN112347958B true CN112347958B (en) | 2023-11-10 |
Family
ID=74363659
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011269879.1A Active CN112347958B (en) | 2020-11-13 | 2020-11-13 | Identification method, identification circuit and gesture identification equipment for obstacle detection signal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112347958B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008022454A (en) * | 2006-07-14 | 2008-01-31 | Sumitomo Electric Ind Ltd | Obstacle detection system and obstacle detection method |
| CN105044668A (en) * | 2015-08-25 | 2015-11-11 | 武汉易得路位置科技有限公司 | Wifi fingerprint database construction method based on multi-sensor device |
| CN107621641A (en) * | 2017-09-20 | 2018-01-23 | 歌尔股份有限公司 | Infrared barrier detection method, apparatus and robot |
| CN108663673A (en) * | 2017-03-27 | 2018-10-16 | 迈来芯电子科技有限公司 | Method and apparatus for echo detection |
| CN108845334A (en) * | 2018-04-26 | 2018-11-20 | 上海与德科技有限公司 | A kind of barrier prompt method, apparatus, terminal and storage medium |
| CN110741279A (en) * | 2017-05-16 | 2020-01-31 | 艾尔默斯半导体股份公司 | Method for transmitting data from an ultrasound system to a data processing device via a vehicle data bus |
| CN111208527A (en) * | 2018-11-16 | 2020-05-29 | 北京万集科技股份有限公司 | Laser radar ranging method and device, laser radar and storage medium |
| CN111325877A (en) * | 2018-12-14 | 2020-06-23 | 云丁网络技术(北京)有限公司 | Electronic equipment control method and device and electronic equipment |
| CN111381289A (en) * | 2018-12-27 | 2020-07-07 | 北京奇虎科技有限公司 | Infrared lamp self-adaptive environment obstacle detection method and mobile device |
-
2020
- 2020-11-13 CN CN202011269879.1A patent/CN112347958B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008022454A (en) * | 2006-07-14 | 2008-01-31 | Sumitomo Electric Ind Ltd | Obstacle detection system and obstacle detection method |
| CN105044668A (en) * | 2015-08-25 | 2015-11-11 | 武汉易得路位置科技有限公司 | Wifi fingerprint database construction method based on multi-sensor device |
| CN108663673A (en) * | 2017-03-27 | 2018-10-16 | 迈来芯电子科技有限公司 | Method and apparatus for echo detection |
| CN110741279A (en) * | 2017-05-16 | 2020-01-31 | 艾尔默斯半导体股份公司 | Method for transmitting data from an ultrasound system to a data processing device via a vehicle data bus |
| CN107621641A (en) * | 2017-09-20 | 2018-01-23 | 歌尔股份有限公司 | Infrared barrier detection method, apparatus and robot |
| WO2019056788A1 (en) * | 2017-09-20 | 2019-03-28 | 歌尔股份有限公司 | Infrared obstacle detection method and device and robot |
| CN108845334A (en) * | 2018-04-26 | 2018-11-20 | 上海与德科技有限公司 | A kind of barrier prompt method, apparatus, terminal and storage medium |
| CN111208527A (en) * | 2018-11-16 | 2020-05-29 | 北京万集科技股份有限公司 | Laser radar ranging method and device, laser radar and storage medium |
| CN111325877A (en) * | 2018-12-14 | 2020-06-23 | 云丁网络技术(北京)有限公司 | Electronic equipment control method and device and electronic equipment |
| CN111381289A (en) * | 2018-12-27 | 2020-07-07 | 北京奇虎科技有限公司 | Infrared lamp self-adaptive environment obstacle detection method and mobile device |
Non-Patent Citations (1)
| Title |
|---|
| 基于单片机的红外避障导盲仪系统设计;孙硕硕;杨东;郭刘飞;叶战争;胡松楠;;黄河科技学院学报(第05期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112347958A (en) | 2021-02-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110363076B (en) | Personnel information association method and device and terminal equipment | |
| CN105841793A (en) | Optical fiber vibration source identification method, device and system | |
| WO2021248472A1 (en) | Target tracking method and apparatus based on ultra-wideband radar, device, and storage medium | |
| CN109656973A (en) | A kind of target object association analysis method and device | |
| CN104297213A (en) | Blood cell analyzing instrument and recognizing method and system for abnormal cells thereof | |
| CN113963192A (en) | Fall detection method and device and electronic equipment | |
| CN112347958B (en) | Identification method, identification circuit and gesture identification equipment for obstacle detection signal | |
| CN112630851B (en) | False triggering prevention method, device and equipment for mobile detection and storage medium | |
| CN103278862A (en) | Passive infrared detector and detection method adopting same | |
| CN114793916A (en) | Weighing method and device based on cat litter box, electronic equipment and storage medium | |
| CN207281551U (en) | Intelligent electric meter stealing data collector | |
| CN210294560U (en) | Infrared mine detection system | |
| CN114424145A (en) | Proximity detection method, terminal and storage medium | |
| CN110308321A (en) | Dynamic current detection method and device | |
| CN214704338U (en) | Gesture recognition system based on one-dimensional TOF sensor and intelligent household equipment | |
| CN213069915U (en) | Inspection system based on dynamic identification code | |
| CN111766568B (en) | Anti-interference method and device for time-of-flight ranging system and terminal equipment | |
| CN210324470U (en) | Intelligent sensing positioning laser intrusion detector | |
| CN104298979B (en) | The identifying device and method of a kind of biological test paper | |
| CN113268003A (en) | Gesture recognition system and method based on one-dimensional TOF sensor and intelligent household equipment | |
| CN112526494A (en) | Method and device for acquiring ranging data, storage medium and electronic device | |
| CN206096473U (en) | Height integrates radiation monitoring system | |
| CN210982596U (en) | Light-operated signal recognition system | |
| CN108760595B (en) | Distributed gas turbidity monitoring point | |
| CN219392300U (en) | Photoelectric sensor capable of being used under direct sunlight |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20231008 Address after: 518000 room 1107, 11th floor, building B, haiyangwang science and technology building, Gaoxin West Road, Dongzhou community, Guangming Street, Guangming District, Shenzhen City, Guangdong Province Applicant after: Shenzhen haiyangwang power grid Lighting Technology Co.,Ltd. Applicant after: Shenzhen Ocean King Metallurgical Lighting Technology Co.,Ltd. Applicant after: Shenzhen ocean King ship venue Lighting Technology Co.,Ltd. Applicant after: Shenzhen Ocean King Technology Co.,Ltd. Applicant after: SHEN ZHEN OCEAN'S KING LIGHTING ENGINEERING Co.,Ltd. Applicant after: OCEAN'S KING LIGHTING SCIENCE & TECHNOLOGY Co.,Ltd. Applicant after: OCEAN'S KING (DONGGUAN) LIGHTING TECHNOLOGY Co.,Ltd. Applicant after: Shenzhen haiyangwang petroleum Lighting Technology Co.,Ltd. Applicant after: Shenzhen haiyangwang railway Lighting Technology Co.,Ltd. Applicant after: Shenzhen Ocean Wanggongxiao Lighting Technology Co.,Ltd. Applicant after: Shenzhen ocean King Green Lighting Technology Co.,Ltd. Applicant after: Shenzhen ocean King Petrochemical Lighting Technology Co.,Ltd. Address before: 518000 AC, 23rd Floor, Block A, Haiwang Building, Nanshan Street, Nanshan District, Shenzhen City, Guangdong Province Applicant before: SHEN ZHEN OCEAN'S KING LIGHTING ENGINEERING Co.,Ltd. Applicant before: OCEAN'S KING LIGHTING SCIENCE & TECHNOLOGY Co.,Ltd. Applicant before: OCEAN'S KING (DONGGUAN) LIGHTING TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |