CN115113695A - Notebook computer - Google Patents

Notebook computer Download PDF

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Publication number
CN115113695A
CN115113695A CN202210775623.0A CN202210775623A CN115113695A CN 115113695 A CN115113695 A CN 115113695A CN 202210775623 A CN202210775623 A CN 202210775623A CN 115113695 A CN115113695 A CN 115113695A
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CN
China
Prior art keywords
notebook computer
processing unit
central processing
switcher
camera
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.)
Pending
Application number
CN202210775623.0A
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Chinese (zh)
Inventor
王延军
李国利
白煜
韩湛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hefei Zhuoyi Hengtong Information Security Co Ltd
Original Assignee
Hefei Zhuoyi Hengtong Information Security Co Ltd
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Publication date
Application filed by Hefei Zhuoyi Hengtong Information Security Co Ltd filed Critical Hefei Zhuoyi Hengtong Information Security Co Ltd
Priority to CN202210775623.0A priority Critical patent/CN115113695A/en
Publication of CN115113695A publication Critical patent/CN115113695A/en
Pending legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements
    • G06F1/1613—Constructional details or arrangements for portable computers
    • G06F1/1633—Constructional details or arrangements of portable computers not specific to the type of enclosures covered by groups G06F1/1615 - G06F1/1626
    • G06F1/1635—Details related to the integration of battery packs and other power supplies such as fuel cells or integrated AC adapter
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements
    • G06F1/1613—Constructional details or arrangements for portable computers
    • G06F1/1633—Constructional details or arrangements of portable computers not specific to the type of enclosures covered by groups G06F1/1615 - G06F1/1626
    • G06F1/1684—Constructional details or arrangements related to integrated I/O peripherals not covered by groups G06F1/1635 - G06F1/1675
    • G06F1/1686—Constructional details or arrangements related to integrated I/O peripherals not covered by groups G06F1/1635 - G06F1/1675 the I/O peripheral being an integrated camera
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234—Power saving characterised by the action undertaken
    • G06F1/3287—Power saving characterised by the action undertaken by switching off individual functional units in the computer system
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234—Power saving characterised by the action undertaken
    • G06F1/3296—Power saving characterised by the action undertaken by lowering the supply or operating voltage
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/4401—Bootstrapping
    • G06F9/4418—Suspend and resume; Hibernate and awake
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • 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
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • 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
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • 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
    • G06V40/161—Detection; Localisation; Normalisation
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • 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
    • 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
    • G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
    • 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
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Computer Hardware Design (AREA)
  • Software Systems (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Security & Cryptography (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Neurology (AREA)
  • Power Engineering (AREA)
  • Power Sources (AREA)

Abstract

The invention provides a notebook computer. The notebook computer comprises a host and a display module arranged on the host; the host comprises a lower shell and a mainboard arranged in the lower shell, wherein the mainboard is provided with a central processing unit, a neural network processor, a switcher and an embedded controller; the display module comprises an upper shell and a camera arranged on the upper shell; the switcher and the embedded controller are both electrically connected with the central processing unit, the switcher and the neural network processor are both electrically connected with the embedded controller, the camera is electrically connected with the switcher, and the switcher is electrically connected with the neural network processor. The system has multiple safety protections, can compress and manage the power consumption of the notebook computer to the maximum extent, and greatly reduces the energy consumption of the notebook computer, thereby prolonging the battery endurance time, and enhancing the privacy, the safety and the overall experience of a user.

Description

Notebook computer
Technical Field
The invention relates to the field of computers, in particular to a notebook computer.
Background
The notebook computer is also called a portable computer, a palm computer or a laptop computer, and is characterized by small and exquisite body, portability compared with a desktop computer, and is a small and portable personal computer. The current development trend of notebook computers is smaller and smaller, lighter and lighter, and stronger functions.
With the wide application of notebook computers, the battery endurance problem is always the direction that developers struggle; the slimness and thinness of computers limits the physical space of batteries to some extent, so that energy-saving management can be performed only in other aspects.
On the other hand, with the continuous development of the biometric technology, more and more electronic devices apply the biometric technology, such as face recognition, the face recognition acquires the face image of the user through the camera, and then the electronic device can determine whether the user has the authority to enter the system of the electronic device according to the face image of the user. Therefore, the user can be identified by the electronic equipment only by exposing the face of the user in front of the camera, and the password input method is more convenient compared with the password input method.
The Neural Network Processor (NPU) simulates human neurons and synapses at a circuit layer, and uses a deep learning instruction set for direct Processing, which is good at Processing video and image-like mass multimedia data.
In the current society, people's awareness of privacy and security is gradually improved, and in response to the requirements of notebook computer users on available, adaptive and interactive equipment at any time, the notebook computer is a development direction to use artificial intelligence as a human body induction function for enhancing user experience and providing online all the time.
Therefore, it is necessary to provide a notebook computer with visual perception and recognition functions and capable of prolonging the endurance time.
Disclosure of Invention
The invention aims to provide a notebook computer, which has multiple safety protections, can compress and manage the power consumption of the notebook computer to the maximum extent, and greatly reduces the energy consumption of the notebook computer, thereby prolonging the battery endurance time, and enhancing the privacy, the safety and the overall experience of a user.
In order to achieve the above object, the present invention provides a notebook computer, comprising a host and a display module disposed on the host; the host comprises a lower shell and a mainboard arranged in the lower shell, wherein the mainboard is provided with a central processing unit, a neural network processor, a switcher and an embedded controller; the display module comprises an upper shell and a camera arranged on the upper shell;
the switcher and the embedded controller are electrically connected with the central processing unit, the switcher and the neural network processor are electrically connected with the embedded controller, the camera is electrically connected with the switcher, and the switcher is electrically connected with the neural network processor;
the switcher is used for electrically connecting the camera with the central processing unit when the notebook computer is in a use state, so that the normal camera function of the system is realized; the switcher is also used for electrically connecting the camera with the neural network processor when the notebook computer is in an idle state;
the neural network processor is used for collecting image data shot by the camera after being electrically connected with the camera, carrying out face recognition on the image data and transmitting a recognition result to the embedded controller;
the embedded controller is used for controlling the switcher to electrically connect the camera with the central processing unit when the recognition result transmitted by the neural network processor is that the face of a preset user is recognized, and the central processing unit controls the notebook computer to enter a normal use state; the embedded controller is also used for transmitting the recognition result to the central processing unit when the recognition result transmitted by the neural network processor is that the face of a preset user is not recognized;
and the central processing unit is used for starting the power saving mode and the safety mode when the recognition result is that the face of a preset user is not recognized, so that the embedded controller enters a low-power-consumption management state and a safety management state and controls the notebook computer to sleep and turn off the screen.
The switch is a switch control IC chip.
The upper shell and the lower shell can rotate relatively, the mainboard is further provided with a Hall device, a magnet is correspondingly arranged inside the upper shell, and the Hall device is used for detecting magnetic flux generated by the magnet at the Hall device.
The Hall device is electrically connected with the central processing unit, when the included angle between the upper shell and the lower shell is smaller than or equal to a preset angle, the magnetic flux generated by the magnet detected by the Hall device at the Hall device is larger than or equal to a preset threshold value, and therefore the central processing unit controls the notebook computer to sleep and turn off the screen through the embedded controller.
The display module assembly is characterized by further comprising a display screen arranged on the upper shell, the camera is located in the middle of the upper portion of the display screen, and the magnet is located on the edge of the lower portion of the display screen.
The host computer is characterized by further comprising a touch pad module arranged on the lower shell, wherein the touch pad module comprises a touch pad arranged on the lower shell, a fingerprint module arranged on the touch pad and a Mylar film covering the touch pad.
The Mylar film is provided with a through hole so as to expose the fingerprint module; the fingerprint module is located the edge of touch-control board.
The fingerprint module is electrically connected with the central processing unit, and after a user successfully identifies the fingerprint through the fingerprint module, the central processing unit wakes up the notebook computer through the embedded controller.
The fingerprint module is fingerprint identification IC, the fingerprint module is integrated on the touch-control panel.
The host computer still includes the keyboard module of locating on the casing down, the touch-control board module is located the below middle part of keyboard module.
The invention has the beneficial effects that: the invention provides a notebook computer, which comprises a host and a display module arranged on the host; the host comprises a lower shell and a mainboard arranged in the lower shell, wherein the mainboard is provided with a central processing unit, a neural network processor, a switcher and an embedded controller; the display module comprises an upper shell and a camera arranged on the upper shell; the switcher and the embedded controller are both electrically connected with the central processing unit, the switcher and the neural network processor are both electrically connected with the embedded controller, the camera is electrically connected with the switcher, and the switcher is electrically connected with the neural network processor. The system has multiple safety protections, can compress and manage the power consumption of the notebook computer to the maximum extent, and greatly reduces the energy consumption of the notebook computer, thereby prolonging the battery endurance time, and enhancing the privacy, the safety and the overall experience of a user.
Drawings
For a better understanding of the nature and technical aspects of the present invention, reference should be made to the following detailed description of the invention, taken in conjunction with the accompanying drawings, which are provided for purposes of illustration and description and are not intended to limit the invention.
In the drawings, there is shown in the drawings,
FIG. 1 is a perspective view of a notebook computer according to the present invention;
FIG. 2 is a schematic diagram of a motherboard according to the present invention;
FIG. 3 is an exploded view of a touch pad module according to the present invention;
FIG. 4 is a perspective view of a notebook computer according to the present invention when closed;
FIG. 5 is a partial cutaway perspective view A-A corresponding to FIG. 4;
fig. 6 is a circuit block diagram of a notebook computer according to the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings.
Referring to fig. 1 and 2, the present invention provides a notebook computer, including a host 1 and a display module 2 disposed on the host 1. The host 1 includes a lower case 11 and a main board 12 disposed inside the lower case 11, wherein the main board 12 is provided with a Central Processing Unit (CPU) 121, a neural network processor 122, a switch 123 and an Embedded Controller (EC) 124. The display module 2 includes an upper housing 21 and a camera 212 disposed on the upper housing 21.
As shown in fig. 6, the switch 123 and the embedded controller 124 are electrically connected to the cpu 121, the switch 123 and the neural network processor 122 are electrically connected to the embedded controller 124, the camera 212 is electrically connected to the switch 123, and the switch 123 is electrically connected to the neural network processor 122.
The switch 123 is used for electrically connecting the camera 212 with the central processing unit 121 when the notebook computer is in a use state, so that the normal camera function of the system is realized; the switch 123 is further configured to electrically connect the camera 212 with the neural network processor 122 when the notebook computer is in an idle state.
The neural network processor 122 is configured to collect image data captured by the camera 212 after being electrically connected to the camera 212, perform face recognition on the image data, and transmit a recognition result to the embedded controller 124.
The embedded controller 124 is configured to control the switch 123 to electrically connect the camera 212 with the central processing unit 121 when the recognition result transmitted by the neural network processor 122 is that a human face of a preset user is recognized, and the central processing unit 121 controls the notebook computer to enter a normal use state; the embedded controller 124 is further configured to transmit the recognition result to the central processing unit 121 when the recognition result transmitted by the neural network processor 122 is that the face of the preset user is not recognized.
The central processing unit 121 is configured to start the power saving mode and the security mode when the recognition result is that the face of the preset user is not recognized, so that the embedded controller 124 enters the low power consumption management state and the security management state, and controls the notebook computer to sleep and turn off the screen.
It is understood that the preset user is a legal owner of the notebook computer or other users authorized by the legal owner.
Optionally, the switch 123 is a switch control IC chip (Integrated circuit chip).
Specifically, the upper housing 21 and the lower housing 11 can rotate relatively, as shown in fig. 4 and 5, the main board 12 is further provided with a hall device 125, the upper housing 21 is correspondingly provided with a magnet 211 inside, and the hall device 125 is configured to detect a magnetic flux generated by the magnet 211 at the hall device 125.
The hall device 125 is electrically connected to the central processing unit 121, and when an included angle between the upper housing 21 and the lower housing 11 is smaller than or equal to a preset angle, a magnetic flux generated by the magnet 211 at the hall device 125, which is detected by the hall device 125, is greater than or equal to a preset threshold value, so that the central processing unit 121 controls the notebook computer to sleep and turn off the screen through the embedded controller 124.
Specifically, display module assembly 2 is still including locating display screen 213 on last casing 21, camera 212 is located display screen 213 top middle part, magnet 211 is located display screen 213 below edge.
Specifically, the host 1 further includes a touch pad module 112 disposed on the lower casing 11, as shown in fig. 3, the touch pad module 112 includes a touch pad 1121 disposed on the lower casing 11, a fingerprint module 1122 disposed on the touch pad 1121, and a Mylar (Mylar)1123 covering the touch pad 1121.
The mylar tab 1123 is provided with a through hole 1124 to expose the fingerprint module 1122. The fingerprint module 1122 is located at an edge of the touch pad 1121, so that the usage of the touch pad 1121 is not affected as much as possible.
Specifically, the fingerprint module 1122 is electrically connected to the central processor 121, and after the user successfully performs fingerprint identification through the fingerprint module 1122, the central processor 121 wakes up the notebook computer through the embedded controller 124.
Optionally, the fingerprint module 1122 is a fingerprint identification IC, and the fingerprint module 1122 is integrated on the touch pad 1121.
Specifically, the host 1 further includes a keyboard module 114 disposed on the lower housing 11, and the touch pad module 112 is located in the middle of the lower portion of the keyboard module 114.
The notebook computer has the functions of visual perception and recognition by arranging the neural network processor, can independently perform face recognition according to image data shot by the camera in the modes of image acquisition, algorithm filtering and the like so as to judge whether the notebook computer is in a use state, and controls the notebook computer to sleep and turn off a screen when the notebook computer is in an idle state; when the notebook computer enters the use state from the idle state, the embedded controller immediately wakes up the computer. On the premise of protecting privacy and improving safety, the power consumption of the notebook computer is reduced, and therefore the service life of the battery is prolonged. And when the user leaves and forgets to close the computer screen, the notebook computer is enabled to be dormant and turned off according to the face recognition result of the image data, and the power consumption is further reduced. In addition, the invention is also provided with a fingerprint module which has a fingerprint identification function, so that the notebook computer is safer, the trouble of inputting a screen locking password is avoided, and the safety protection is realized. In addition, the invention is also provided with a Hall device, so that the notebook computer can be dormant and turned off after a user closes the upper shell and the lower shell of the notebook computer. In summary, the notebook computer integrates the auto-induction dormancy screen-off function of the hall device, the fingerprint identification function of the fingerprint module and the visual perception identification function of the network neural processor, has multiple safety protections, can compress and manage the power consumption of the notebook computer to the maximum extent, and greatly reduces the energy consumption of the notebook computer, thereby prolonging the battery endurance time, and enhancing the privacy, the safety and the overall experience of a user.
In summary, the present invention provides a notebook computer, including a host and a display module disposed on the host; the host comprises a lower shell and a mainboard arranged in the lower shell, wherein the mainboard is provided with a central processing unit, a neural network processor, a switcher and an embedded controller; the display module comprises an upper shell and a camera arranged on the upper shell; the switcher and the embedded controller are both electrically connected with the central processing unit, the switcher and the neural network processor are both electrically connected with the embedded controller, the camera is electrically connected with the switcher, and the switcher is electrically connected with the neural network processor. The system has multiple safety protections, can compress and manage the power consumption of the notebook computer to the maximum extent, and greatly reduces the energy consumption of the notebook computer, thereby prolonging the battery endurance time, and enhancing the privacy, the safety and the overall experience of a user.
As described above, it will be apparent to those skilled in the art that various other changes and modifications can be made based on the technical solution and the technical idea of the present invention, and all such changes and modifications should fall within the protective scope of the appended claims.

Claims (10)

1. A notebook computer is characterized by comprising a host (1) and a display module (2) arranged on the host (1); the host (1) comprises a lower shell (11) and a mainboard (12) arranged inside the lower shell (11), wherein the mainboard (12) is provided with a central processing unit (121), a neural network processor (122), a switcher (123) and an embedded controller (124); the display module (2) comprises an upper shell (21) and a camera (212) arranged on the upper shell (21);
the switcher (123) and the embedded controller (124) are electrically connected with the central processing unit (121), the switcher (123) and the neural network processor (122) are electrically connected with the embedded controller (124), the camera (212) is electrically connected with the switcher (123), and the switcher (123) is electrically connected with the neural network processor (122);
the switcher (123) is used for electrically connecting the camera (212) with the central processing unit (121) when the notebook computer is in a use state, so that the normal camera function of the system is realized; the switcher (123) is also used for electrically connecting the camera (212) with the neural network processor (122) when the notebook computer is in an idle state;
the neural network processor (122) is used for collecting image data shot by the camera (212) after being electrically connected with the camera (212), carrying out face recognition on the image data and transmitting a recognition result to the embedded controller (124);
the embedded controller (124) is used for controlling the switcher (123) to electrically connect the camera (212) with the central processing unit (121) when the recognition result transmitted by the neural network processor (122) is that the face of a preset user is recognized, and the central processing unit (121) controls the notebook computer to enter a normal use state; the embedded controller (124) is also used for transmitting the recognition result to the central processing unit (121) when the recognition result transmitted by the neural network processor (122) is that the face of a preset user is not recognized;
and the central processing unit (121) is used for starting the power saving mode and the safety mode when the recognition result is that the face of a preset user is not recognized, so that the embedded controller (124) enters a low-power-consumption management state and a safety management state and controls the notebook computer to sleep and turn off the screen.
2. The notebook computer as claimed in claim 1, wherein the switch (123) is a switch control IC chip.
3. The notebook computer as claimed in claim 1, wherein the upper housing (21) and the lower housing (11) are rotatable relative to each other, the main board (12) further comprises a hall device (125), the upper housing (21) is correspondingly provided with a magnet (211), and the hall device (125) is configured to detect a magnetic flux generated by the magnet (211) at the hall device (125).
4. The notebook computer as claimed in claim 3, wherein the hall device (125) is electrically connected to the central processing unit (121), and when the included angle between the upper housing (21) and the lower housing (11) is smaller than or equal to a predetermined angle, the magnetic flux generated by the magnet (211) at the hall device (125) detected by the hall device (125) is greater than or equal to a predetermined threshold, so that the central processing unit (121) controls the notebook computer to sleep and turn off the screen through the embedded controller (124).
5. The notebook computer as claimed in claim 3, wherein the display module (2) further comprises a display screen (213) disposed on the upper housing (21), the camera (212) is located at the upper middle portion of the display screen (213), and the magnet (211) is located at the lower edge of the display screen (213).
6. The notebook computer according to claim 1, wherein the host (1) further comprises a touch pad module (112) disposed on the lower housing (11), the touch pad module (112) comprises a touch pad (1121) disposed on the lower housing (11), a fingerprint module (1122) disposed on the touch pad (1121), and a Mylar film (1123) covering the touch pad (1121).
7. The notebook computer as claimed in claim 6, wherein the Mylar film (1123) is provided with a through hole (1124) to expose the fingerprint module (1122); the fingerprint module (1122) is located at the edge of the touch pad (1121).
8. The notebook computer as claimed in claim 6, wherein the fingerprint module (1122) is electrically connected to the central processing unit (121), and after the user successfully performs fingerprint identification through the fingerprint module (1122), the central processing unit (121) wakes up the notebook computer through the embedded controller (124).
9. The notebook computer as claimed in claim 6, wherein the fingerprint module (1122) is a fingerprint identification IC, and the fingerprint module (1122) is integrated on the touch pad (1121).
10. The notebook computer according to claim 6, wherein the host (1) further comprises a keyboard module (114) disposed on the lower housing (11), and the touchpad module (112) is located at a lower middle portion of the keyboard module (114).
CN202210775623.0A 2022-07-01 2022-07-01 Notebook computer Pending CN115113695A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210775623.0A CN115113695A (en) 2022-07-01 2022-07-01 Notebook computer

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210775623.0A CN115113695A (en) 2022-07-01 2022-07-01 Notebook computer

Publications (1)

Publication Number Publication Date
CN115113695A true CN115113695A (en) 2022-09-27

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CN202210775623.0A Pending CN115113695A (en) 2022-07-01 2022-07-01 Notebook computer

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