CN110835031A - Hotel elevator instrument panel activation mechanism - Google Patents
Hotel elevator instrument panel activation mechanism Download PDFInfo
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- CN110835031A CN110835031A CN201810944767.8A CN201810944767A CN110835031A CN 110835031 A CN110835031 A CN 110835031A CN 201810944767 A CN201810944767 A CN 201810944767A CN 110835031 A CN110835031 A CN 110835031A
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- 230000007246 mechanism Effects 0.000 title claims abstract description 39
- 230000004913 activation Effects 0.000 title claims description 37
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 230000003213 activating effect Effects 0.000 claims abstract description 5
- 238000012545 processing Methods 0.000 claims description 38
- 238000004458 analytical method Methods 0.000 claims description 30
- 238000012937 correction Methods 0.000 claims description 24
- 238000000605 extraction Methods 0.000 claims description 12
- 238000000354 decomposition reaction Methods 0.000 claims description 11
- 230000009471 action Effects 0.000 claims description 9
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 6
- 238000001914 filtration Methods 0.000 claims description 6
- 238000003702 image correction Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 5
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- 230000004888 barrier function Effects 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 8
- 238000012986 modification Methods 0.000 description 5
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3423—Control system configuration, i.e. lay-out
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/30—Noise filtering
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- 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
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- Automation & Control Theory (AREA)
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- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Computer Networks & Wireless Communication (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
- Elevator Control (AREA)
Abstract
The invention relates to a hotel elevator instrument panel activating mechanism, which comprises: the temperature detection equipment is arranged at the hotel elevator entrance and used for detecting the real-time temperature of the environment where the hotel elevator entrance is located so as to obtain the corresponding real-time environment temperature and output the real-time environment temperature; the image authentication equipment is arranged on a meter panel of the hotel elevator and used for receiving the gray level balance image, performing face recognition on the gray level balance image to obtain the identity of a customer needing to carry the elevator in the gray level balance image, and determining whether to send out a signal for allowing the passenger to carry the elevator or not based on the identity of the customer needing to carry the elevator in the gray level balance image; and the authority control device is arranged on a control circuit board of the hotel elevator, is connected with the image authentication device and is used for activating an instrument panel of the hotel elevator when receiving the boarding permission signal. By the invention, an effective security barrier can be built at the elevator of the hotel.
Description
Technical Field
The invention relates to the field of face recognition, in particular to an instrument panel activation mechanism of a hotel elevator.
Background
The face recognition system takes a face recognition technology as a core, is an emerging biological recognition technology, and is a high-precision technology for the current international scientific and technological field.
The method is widely applied to the regional characteristic analysis algorithm, integrates the computer image processing technology and the biological statistics principle, extracts the portrait characteristic points from the video by using the computer image processing technology, analyzes and establishes the mathematical model by using the biological statistics principle, and has wide development prospect. In 2006, countries in the united states that have required and have access to visa-free agreements had to use electronic passport systems incorporating face recognition before 26 months of 10, and more than 50 countries have implemented such systems by the end of 2016.
In 2016, 4 months, railway departments declare that a high-tech security inspection system face recognition system for identity recognition is to be installed in a station security inspection area; the system can be used for detecting the brightness of the human face, automatically adjusting dynamic exposure compensation, tracking and detecting the human face and automatically adjusting image amplification.
Disclosure of Invention
In order to solve the technical problem that the security of a hotel is difficult to guarantee in the prior art, the invention provides a hotel elevator instrument panel activation mechanism, on the basis of a high-efficiency and high-precision image processing mechanism, whether a boarding permission signal is sent is determined based on the identity of a customer needing to carry an elevator in a shot image so as to determine whether to activate an instrument panel of the hotel elevator, thereby preventing lawless persons from entering a guest room area, and meanwhile, image processing equipment is correspondingly controlled based on a temperature analysis result so as to prevent the image processing equipment from being burnt at high temperature; and determining a wavelet basis required for executing wavelet processing based on one or more main noise types in the original image to be used as a target wavelet basis, adopting a data decomposition mode corresponding to the target wavelet basis, and performing differential modification processing on the decomposed high-frequency coefficient and low-frequency coefficient to obtain a clearer processed image and provide effective reference data for subsequent image processing.
According to an aspect of the present invention, there is provided a hotel elevator instrument panel activation mechanism, the mechanism comprising:
the temperature detection equipment is arranged at the hotel elevator entrance and used for detecting the real-time temperature of the environment where the hotel elevator entrance is located so as to obtain the corresponding real-time environment temperature and output the real-time environment temperature; and the state control equipment is connected with the temperature detection equipment and used for receiving the real-time environment temperature, sending an identification stop signal when the real-time environment temperature exceeds a preset temperature threshold value, and sending an identification start signal when the real-time environment temperature is more than or equal to the preset temperature threshold value.
More specifically, in the hotel elevator instrument panel activation mechanism, further comprising:
and the spherical camera is arranged on an instrument panel of the hotel elevator, is connected with the state control equipment and is used for shooting a customer needing to carry the elevator when receiving the identification starting signal so as to obtain a corresponding image of the customer carrying the elevator.
More specifically, in the hotel elevator instrument panel activation mechanism, further comprising:
the self-adaptive correction device is connected with the spherical camera and comprises a noise detection sub-device and an image correction sub-device, wherein the noise detection sub-device is used for receiving the carried customer image and detecting various types of noise in the carried customer image to obtain the number of noise types in the carried customer image, and the image correction sub-device is connected with the noise detection sub-device and is used for receiving the number of noise types in the carried customer image and determining the number of times of Gaussian filter processing on the carried customer image based on the number of noise types in the carried customer image; the adaptive correction apparatus outputs an image on which the gaussian filtering process is performed as a corrected image.
More specifically, in the hotel elevator instrument panel activation mechanism, further comprising:
the type analysis device is connected with the self-adaptive correction device and used for receiving the corrected image, acquiring various types of noise in the corrected image, taking the type of the noise with the amplitude larger than or equal to a preset value as a main noise type, and outputting one or more main noise types in the corrected image; the parameter extraction device is connected with the type analysis device and used for receiving one or more main noise types in the corrected image and determining a wavelet base required for executing wavelet processing as a target wavelet base based on the one or more main noise types in the corrected image; the coefficient analysis equipment is respectively connected with the type analysis equipment and the parameter extraction equipment and is used for receiving the target wavelet base and executing data decomposition action of a preset number of layers on the corrected image based on the target wavelet base so as to obtain a layer-by-layer high-frequency coefficient corresponding to the corrected image and a highest-layer low-frequency coefficient corresponding to the corrected image; in the coefficient analysis device, performing a preset number of layers of data decomposition on the corrected image based on the target wavelet basis includes: the numerical value of the preset layer number and the number of the main noise types form a positive correlation relationship; the threshold processing equipment is connected with the coefficient analysis equipment and is used for receiving the layer-by-layer high-frequency coefficients corresponding to the corrected image, modifying the high-frequency coefficients with the numerical values smaller than or equal to the threshold corresponding to the target wavelet basis into zero, and keeping the high-frequency coefficients with the numerical values larger than the threshold corresponding to the target wavelet basis as original values; the coefficient correction device is connected with the coefficient analysis device and used for receiving the low-frequency coefficient of the highest layer corresponding to the corrected image, forming a sequence of the low-frequency coefficients of the highest layer corresponding to the corrected image and carrying out Gaussian filtering processing to obtain the modified low-frequency coefficient of the highest layer; the image reconstruction device is respectively connected with the threshold processing device and the coefficient correction device and is used for receiving the layer-by-layer high-frequency coefficient processed by the threshold processing device and receiving the low-frequency coefficient of the highest layer processed by the coefficient correction device, and performing signal construction based on the layer-by-layer high-frequency coefficient processed by the threshold processing device and the low-frequency coefficient of the highest layer processed by the coefficient correction device to obtain a reconstructed image corresponding to the corrected image; the balance degree extraction device is arranged on a dashboard of a hotel elevator, is connected with the image reconstruction device, and is used for receiving the reconstructed image, detecting the gray balance degree of the reconstructed image to obtain the current balance degree corresponding to the reconstructed image, and outputting the current balance degree corresponding to the reconstructed image; the image equalization device is connected with the equalization degree extraction device and is used for executing gray level equalization action on the current equalization degree corresponding to the reconstructed image when the current equalization degree corresponding to the reconstructed image is not in a preset equalization degree range, so that the current equalization degree corresponding to the reconstructed image is in the preset equalization degree range; after executing the gray scale balancing action, the image balancing equipment outputs a gray scale balancing image corresponding to the reconstructed image; the image authentication device is arranged on a meter panel of a hotel elevator, is connected with the image balancing device, and is used for receiving the gray level balancing image, performing face recognition on the gray level balancing image to obtain the identity of a customer needing to carry the elevator in the gray level balancing image, and determining whether to send out a signal for allowing the elevator to be carried or not based on the identity of the customer needing to carry the elevator in the gray level balancing image; and the authority control device is arranged on a control circuit board of the hotel elevator, is connected with the image authentication device and is used for activating an instrument panel of the hotel elevator when receiving the boarding permission signal.
More specifically, in the hotel elevator dashboard activation mechanism: in the adaptive correction apparatus, the greater the number of noise types in the onboard customer image, the greater the number of times the gaussian filter processing is determined to be performed on the onboard customer image based on the number of noise types in the onboard customer image.
More specifically, in the hotel elevator dashboard activation mechanism: the permission control device is also used for not executing activation operation on the instrument panel of the hotel elevator when the boarding permission signal is not received.
More specifically, in the hotel elevator dashboard activation mechanism: the spherical camera is also used for stopping shooting operation of a customer needing to carry an elevator when receiving the identification stop signal.
More specifically, in the hotel elevator instrument panel activation mechanism, further comprising:
the TF storage equipment is connected with the coefficient analysis equipment and is used for outputting a data decomposition mode corresponding to the target wavelet base to the coefficient analysis equipment;
the TF storage equipment is also connected with the image reconstruction equipment and is used for outputting a data construction mode corresponding to the target wavelet base to the image reconstruction equipment.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view showing the face recognition of an image authentication device of a hotel elevator instrument panel activation mechanism according to an embodiment of the present invention.
Detailed Description
Embodiments of the instrument panel activation mechanism for a hotel elevator according to the present invention will be described in detail with reference to the accompanying drawings.
Face recognition refers in particular to a computer technology for identity authentication by analyzing and comparing human face visual characteristic information. The generalized face recognition actually comprises a series of related technologies for constructing a face recognition system, including face image acquisition, face positioning, face recognition preprocessing, identity confirmation, identity search and the like; the narrow-sense face recognition refers to a technique or system for identity confirmation or identity search through a face.
In order to overcome the defects, the invention builds an instrument panel activation mechanism of the hotel elevator, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic view showing the face recognition of an image authentication device of a hotel elevator instrument panel activation mechanism according to an embodiment of the present invention.
A hotel elevator instrument panel activation mechanism according to an embodiment of the present invention is shown comprising:
the temperature detection equipment is arranged at the hotel elevator entrance and used for detecting the real-time temperature of the environment where the hotel elevator entrance is located so as to obtain the corresponding real-time environment temperature and output the real-time environment temperature;
and the state control equipment is connected with the temperature detection equipment and used for receiving the real-time environment temperature, sending an identification stop signal when the real-time environment temperature exceeds a preset temperature threshold value, and sending an identification start signal when the real-time environment temperature is more than or equal to the preset temperature threshold value.
Next, the detailed structure of the instrument panel activation mechanism of the hotel elevator of the present invention will be further described.
In the hotel elevator instrument panel activation mechanism, further comprising:
and the spherical camera is arranged on an instrument panel of the hotel elevator, is connected with the state control equipment and is used for shooting a customer needing to carry the elevator when receiving the identification starting signal so as to obtain a corresponding image of the customer carrying the elevator.
In the hotel elevator instrument panel activation mechanism, further comprising:
the self-adaptive correction device is connected with the spherical camera and comprises a noise detection sub-device and an image correction sub-device, wherein the noise detection sub-device is used for receiving the carried customer image and detecting various types of noise in the carried customer image to obtain the number of noise types in the carried customer image, and the image correction sub-device is connected with the noise detection sub-device and is used for receiving the number of noise types in the carried customer image and determining the number of times of Gaussian filter processing on the carried customer image based on the number of noise types in the carried customer image; the adaptive correction apparatus outputs an image on which the gaussian filtering process is performed as a corrected image.
In the hotel elevator instrument panel activation mechanism, further comprising:
the type analysis device is connected with the self-adaptive correction device and used for receiving the corrected image, acquiring various types of noise in the corrected image, taking the type of the noise with the amplitude larger than or equal to a preset value as a main noise type, and outputting one or more main noise types in the corrected image;
the parameter extraction device is connected with the type analysis device and used for receiving one or more main noise types in the corrected image and determining a wavelet base required for executing wavelet processing as a target wavelet base based on the one or more main noise types in the corrected image;
the coefficient analysis equipment is respectively connected with the type analysis equipment and the parameter extraction equipment and is used for receiving the target wavelet base and executing data decomposition action of a preset number of layers on the corrected image based on the target wavelet base so as to obtain a layer-by-layer high-frequency coefficient corresponding to the corrected image and a highest-layer low-frequency coefficient corresponding to the corrected image; in the coefficient analysis device, performing a preset number of layers of data decomposition on the corrected image based on the target wavelet basis includes: the numerical value of the preset layer number and the number of the main noise types form a positive correlation relationship;
the threshold processing equipment is connected with the coefficient analysis equipment and is used for receiving the layer-by-layer high-frequency coefficients corresponding to the corrected image, modifying the high-frequency coefficients with the numerical values smaller than or equal to the threshold corresponding to the target wavelet basis into zero, and keeping the high-frequency coefficients with the numerical values larger than the threshold corresponding to the target wavelet basis as original values;
the coefficient correction device is connected with the coefficient analysis device and used for receiving the low-frequency coefficient of the highest layer corresponding to the corrected image, forming a sequence of the low-frequency coefficients of the highest layer corresponding to the corrected image and carrying out Gaussian filtering processing to obtain the modified low-frequency coefficient of the highest layer;
the image reconstruction device is respectively connected with the threshold processing device and the coefficient correction device and is used for receiving the layer-by-layer high-frequency coefficient processed by the threshold processing device and receiving the low-frequency coefficient of the highest layer processed by the coefficient correction device, and performing signal construction based on the layer-by-layer high-frequency coefficient processed by the threshold processing device and the low-frequency coefficient of the highest layer processed by the coefficient correction device to obtain a reconstructed image corresponding to the corrected image;
the balance degree extraction device is arranged on a dashboard of a hotel elevator, is connected with the image reconstruction device, and is used for receiving the reconstructed image, detecting the gray balance degree of the reconstructed image to obtain the current balance degree corresponding to the reconstructed image, and outputting the current balance degree corresponding to the reconstructed image;
the image equalization device is connected with the equalization degree extraction device and is used for executing gray level equalization action on the current equalization degree corresponding to the reconstructed image when the current equalization degree corresponding to the reconstructed image is not in a preset equalization degree range, so that the current equalization degree corresponding to the reconstructed image is in the preset equalization degree range; after executing the gray scale balancing action, the image balancing equipment outputs a gray scale balancing image corresponding to the reconstructed image;
the image authentication device is arranged on a meter panel of a hotel elevator, is connected with the image balancing device, and is used for receiving the gray level balancing image, performing face recognition on the gray level balancing image to obtain the identity of a customer needing to carry the elevator in the gray level balancing image, and determining whether to send out a signal for allowing the elevator to be carried or not based on the identity of the customer needing to carry the elevator in the gray level balancing image;
and the authority control device is arranged on a control circuit board of the hotel elevator, is connected with the image authentication device and is used for activating an instrument panel of the hotel elevator when receiving the boarding permission signal.
In the hotel elevator dashboard activation mechanism: in the adaptive correction apparatus, the greater the number of noise types in the onboard customer image, the greater the number of times the gaussian filter processing is determined to be performed on the onboard customer image based on the number of noise types in the onboard customer image.
In the hotel elevator dashboard activation mechanism: the permission control device is also used for not executing activation operation on the instrument panel of the hotel elevator when the boarding permission signal is not received.
In the hotel elevator dashboard activation mechanism: the spherical camera is also used for stopping shooting operation of a customer needing to carry an elevator when receiving the identification stop signal.
In the hotel elevator instrument panel activation mechanism, further comprising:
the TF storage equipment is connected with the coefficient analysis equipment and is used for outputting a data decomposition mode corresponding to the target wavelet base to the coefficient analysis equipment;
the TF storage equipment is also connected with the image reconstruction equipment and is used for outputting a data construction mode corresponding to the target wavelet base to the image reconstruction equipment.
In addition, the image authentication device is implemented by an ARM11 series microprocessor. The ARM11 series microprocessor is a new generation RISC processor recently introduced by ARM corporation, which is the first generation design implementation of ARMv6, an ARM new instruction architecture. The series mainly comprises three kernel models of ARM1136J, ARM1156T2 and ARM1176JZ, and the three kernel models are respectively directed at different application fields.
For various wireless mobile applications, it is not useful to provide a high performance processor without throttling. Similar to cost control, control of power consumption is also an important factor. The ARM11 family of processors shows a huge increase in performance, and first brought out the core with clock frequency of 350M-500 MHz, in the future, the ARM11 processor will rise to 1GHz clock frequency, and at the same time, the performance and power consumption can be balanced to meet the requirements of some special applications. By dynamically adjusting the clock frequency and the supply voltage, the developer can fully control the balance of the two. Under the condition of 0.13um technology and 1.2v, the power consumption of the ARM11 processor can be as low as 0.4 mW/MHz.
By adopting the hotel elevator instrument panel activation mechanism, aiming at the technical problem of incapability of ensuring the security of hotels in the prior art, whether a boarding permission signal is sent is determined based on the identity of a customer needing to carry an elevator in a shot image on the basis of a high-efficiency and high-precision image processing mechanism so as to determine whether to activate the instrument panel of the hotel elevator and prevent lawless persons from entering a guest room area, and meanwhile, image processing equipment is correspondingly controlled based on a temperature analysis result so as to prevent the image processing equipment from being burnt at high temperature; and determining a wavelet basis required for executing wavelet processing based on one or more main noise types in the original image to be used as a target wavelet basis, adopting a data decomposition mode corresponding to the target wavelet basis, and performing differential modification processing on the decomposed high-frequency coefficient and low-frequency coefficient to obtain a clearer processed image and provide effective reference data for subsequent image processing, thereby solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (8)
1. A hotel elevator instrument panel activation mechanism, the mechanism comprising:
the temperature detection equipment is arranged at the hotel elevator entrance and used for detecting the real-time temperature of the environment where the hotel elevator entrance is located so as to obtain the corresponding real-time environment temperature and output the real-time environment temperature;
and the state control equipment is connected with the temperature detection equipment and used for receiving the real-time environment temperature, sending an identification stop signal when the real-time environment temperature exceeds a preset temperature threshold value, and sending an identification start signal when the real-time environment temperature is more than or equal to the preset temperature threshold value.
2. A hotel elevator instrument panel activation mechanism as set forth in claim 1, further comprising:
and the spherical camera is arranged on an instrument panel of the hotel elevator, is connected with the state control equipment and is used for shooting a customer needing to carry the elevator when receiving the identification starting signal so as to obtain a corresponding image of the customer carrying the elevator.
3. A hotel elevator instrument panel activation mechanism as set forth in claim 2, further comprising:
the self-adaptive correction device is connected with the spherical camera and comprises a noise detection sub-device and an image correction sub-device, wherein the noise detection sub-device is used for receiving the carried customer image and detecting various types of noise in the carried customer image to obtain the number of noise types in the carried customer image, and the image correction sub-device is connected with the noise detection sub-device and is used for receiving the number of noise types in the carried customer image and determining the number of times of Gaussian filter processing on the carried customer image based on the number of noise types in the carried customer image; the adaptive correction apparatus outputs an image on which the gaussian filtering process is performed as a corrected image.
4. A hotel elevator instrument panel activation mechanism as set forth in claim 3, further comprising:
the type analysis device is connected with the self-adaptive correction device and used for receiving the corrected image, acquiring various types of noise in the corrected image, taking the type of the noise with the amplitude larger than or equal to a preset value as a main noise type, and outputting one or more main noise types in the corrected image;
the parameter extraction device is connected with the type analysis device and used for receiving one or more main noise types in the corrected image and determining a wavelet base required for executing wavelet processing as a target wavelet base based on the one or more main noise types in the corrected image;
the coefficient analysis equipment is respectively connected with the type analysis equipment and the parameter extraction equipment and is used for receiving the target wavelet base and executing data decomposition action of a preset number of layers on the corrected image based on the target wavelet base so as to obtain a layer-by-layer high-frequency coefficient corresponding to the corrected image and a highest-layer low-frequency coefficient corresponding to the corrected image; in the coefficient analysis device, performing a preset number of layers of data decomposition on the corrected image based on the target wavelet basis includes: the numerical value of the preset layer number and the number of the main noise types form a positive correlation relationship;
the threshold processing equipment is connected with the coefficient analysis equipment and is used for receiving the layer-by-layer high-frequency coefficients corresponding to the corrected image, modifying the high-frequency coefficients with the numerical values smaller than or equal to the threshold corresponding to the target wavelet basis into zero, and keeping the high-frequency coefficients with the numerical values larger than the threshold corresponding to the target wavelet basis as original values;
the coefficient correction device is connected with the coefficient analysis device and used for receiving the low-frequency coefficient of the highest layer corresponding to the corrected image, forming a sequence of the low-frequency coefficients of the highest layer corresponding to the corrected image and carrying out Gaussian filtering processing to obtain the modified low-frequency coefficient of the highest layer;
the image reconstruction device is respectively connected with the threshold processing device and the coefficient correction device and is used for receiving the layer-by-layer high-frequency coefficient processed by the threshold processing device and receiving the low-frequency coefficient of the highest layer processed by the coefficient correction device, and performing signal construction based on the layer-by-layer high-frequency coefficient processed by the threshold processing device and the low-frequency coefficient of the highest layer processed by the coefficient correction device to obtain a reconstructed image corresponding to the corrected image;
the balance degree extraction device is arranged on a dashboard of a hotel elevator, is connected with the image reconstruction device, and is used for receiving the reconstructed image, detecting the gray balance degree of the reconstructed image to obtain the current balance degree corresponding to the reconstructed image, and outputting the current balance degree corresponding to the reconstructed image;
the image equalization device is connected with the equalization degree extraction device and is used for executing gray level equalization action on the current equalization degree corresponding to the reconstructed image when the current equalization degree corresponding to the reconstructed image is not in a preset equalization degree range, so that the current equalization degree corresponding to the reconstructed image is in the preset equalization degree range; after executing the gray scale balancing action, the image balancing equipment outputs a gray scale balancing image corresponding to the reconstructed image;
the image authentication device is arranged on a meter panel of a hotel elevator, is connected with the image balancing device, and is used for receiving the gray level balancing image, performing face recognition on the gray level balancing image to obtain the identity of a customer needing to carry the elevator in the gray level balancing image, and determining whether to send out a signal for allowing the elevator to be carried or not based on the identity of the customer needing to carry the elevator in the gray level balancing image;
and the authority control device is arranged on a control circuit board of the hotel elevator, is connected with the image authentication device and is used for activating an instrument panel of the hotel elevator when receiving the boarding permission signal.
5. A hotel elevator instrument panel activation mechanism as set forth in claim 4, wherein:
in the adaptive correction apparatus, the greater the number of noise types in the onboard customer image, the greater the number of times the gaussian filter processing is determined to be performed on the onboard customer image based on the number of noise types in the onboard customer image.
6. A hotel elevator instrument panel activation mechanism as set forth in claim 5, wherein:
the permission control device is also used for not executing activation operation on the instrument panel of the hotel elevator when the boarding permission signal is not received.
7. A hotel elevator instrument panel activation mechanism as set forth in claim 6, wherein:
the spherical camera is also used for stopping shooting operation of a customer needing to carry an elevator when receiving the identification stop signal.
8. A hotel elevator instrument panel activation mechanism as set forth in claim 7, further comprising:
the TF storage equipment is connected with the coefficient analysis equipment and is used for outputting a data decomposition mode corresponding to the target wavelet base to the coefficient analysis equipment;
the TF storage equipment is also connected with the image reconstruction equipment and is used for outputting a data construction mode corresponding to the target wavelet base to the image reconstruction equipment.
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