CN113313868A - Artificial intelligence identification system based on computer - Google Patents
Artificial intelligence identification system based on computer Download PDFInfo
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- CN113313868A CN113313868A CN202110579007.3A CN202110579007A CN113313868A CN 113313868 A CN113313868 A CN 113313868A CN 202110579007 A CN202110579007 A CN 202110579007A CN 113313868 A CN113313868 A CN 113313868A
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- 230000017525 heat dissipation Effects 0.000 claims abstract description 57
- 238000004458 analytical method Methods 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims description 15
- 238000010191 image analysis Methods 0.000 claims 1
- 230000002265 prevention Effects 0.000 abstract description 5
- 230000000694 effects Effects 0.000 description 11
- 241000282414 Homo sapiens Species 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000001816 cooling Methods 0.000 description 4
- 239000000428 dust Substances 0.000 description 4
- XEEYBQQBJWHFJM-UHFFFAOYSA-N iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 4
- 230000023298 conjugation with cellular fusion Effects 0.000 description 3
- 230000000875 corresponding Effects 0.000 description 3
- 230000001815 facial Effects 0.000 description 3
- 230000013011 mating Effects 0.000 description 3
- 230000021037 unidirectional conjugation Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000002349 favourable Effects 0.000 description 2
- 229910052742 iron Inorganic materials 0.000 description 2
- 230000002035 prolonged Effects 0.000 description 2
- 238000007599 discharging Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 230000001737 promoting Effects 0.000 description 1
- 230000001603 reducing Effects 0.000 description 1
- 238000004805 robotic Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; 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
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05K—PRINTED CIRCUITS; CASINGS OR CONSTRUCTIONAL DETAILS OF ELECTRIC APPARATUS; MANUFACTURE OF ASSEMBLAGES OF ELECTRICAL COMPONENTS
- H05K7/00—Constructional details common to different types of electric apparatus
- H05K7/20—Modifications to facilitate cooling, ventilating, or heating
- H05K7/20009—Modifications to facilitate cooling, ventilating, or heating using a gaseous coolant in electronic enclosures
- H05K7/20136—Forced ventilation, e.g. by fans
Abstract
The invention discloses an artificial intelligence recognition system based on a computer, which comprises a recognition outer frame, wherein a heat dissipation frame, a central server, an ash prevention frame, an Internet of things module, a fingerprint recognition module, a voice recognition module and an image recognition module are arranged in the recognition outer frame, the Internet of things module is respectively in signal connection with the fingerprint recognition module, the voice recognition module and the image recognition module, a heat dissipation device and an air flow device are arranged in the heat dissipation frame, the ash prevention device and a reset device are arranged in the ash prevention frame, a processor and a memory are arranged in the central server, a fingerprint input instrument and a fingerprint analysis unit are arranged in the fingerprint recognition module, and an input microphone and a voice analysis unit are arranged in the voice recognition module. According to the invention, the reliability of the artificial intelligent recognition system is effectively improved through the cooperation among the central server, the Internet of things module, the fingerprint recognition module, the voice recognition module and the image recognition module.
Description
Technical Field
The invention relates to the technical field of computer information identification, in particular to an artificial intelligence identification system based on a computer.
Background
In 1956, in summer, a group of distant and well-known young scientists including Mccasi, Mingski, Rochester, Shennong and the like are gathered together to jointly research and discuss a series of related problems of simulating intelligence by using a machine, and the term of 'artificial intelligence' is put forward for the first time, which marks the formal birth of the new subject of 'artificial intelligence'; IBM corporation 'deep blue' computers defeat the human world chess champion and are a perfect manifestation of artificial intelligence technology.
Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new form of energyHuman intelligenceIntelligent machines that react in a similar manner, and research in this field includes robotics, language recognition, image recognition, natural language processing, andexpert systemEtc.; since the birth of artificial intelligence, theories and technologies become mature day by day, and application fields are expanded continuously, so that science and technology products brought by the artificial intelligence in the future can be assumed to be human beings(Wisdom)The "vessel" of (1); the artificial intelligence can simulate the information process of consciousness and thinking of people; artificial intelligence is not human intelligence, but can think like a human, and can also exceed human intelligence.
Traditional artificial intelligence discernment has just simply set up a fingerprint identification module or speech recognition module, and the guard gate can not reach safe barrier propterty, and the fingerprint probably is gathered by the criminal, and pronunciation also probably are recorded for guard gate shape is with the nominal, and then has caused the loss of property, for this reason, has proposed an artificial intelligence identification system based on computer.
Disclosure of Invention
The invention aims to solve the defect that a fingerprint identification and voice identification module arranged in a traditional artificial intelligence identification system in the prior art is possibly collected by criminals to cause property loss, and provides the artificial intelligence identification system based on a computer.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides an artificial intelligence identification system based on computer, includes the discernment frame, the inside of discernment frame is provided with heat dissipation frame, central server, prevents grey frame, thing networking module, fingerprint identification module, speech recognition module and image recognition module, thing networking module respectively with fingerprint identification module, speech recognition module and image recognition module between signal connection, the inside of heat dissipation frame is provided with heat abstractor and air current device, the inside of preventing grey frame is provided with prevents grey device and resetting means.
Preferably, the inside of central server includes treater and memory, signal connection between treater and the thing networking module, the analysis unit is distinguished to fingerprint identification module's inside including fingerprint input appearance and fingerprint, the analysis unit is distinguished including typeeing microphone and pronunciation to the inside of speech identification module, the analysis module is distinguished including face input module, photo input module and image to the inside of image identification module, the inside of face input module is including typeeing camera and cell-phone conduction unit, the inside of photo input module includes remote transmission unit and on-the-spot registration unit.
Preferably, the appearance is entered to the fingerprint, type the microphone and type the camera and all be located the inside of preventing grey frame, central server is located the three signal transmission pole of lateral wall fixedly connected with of preventing grey frame one side, just the signal transmission pole runs through the inside that prevents grey frame and extend to preventing grey frame, and is three the one end of signal transmission pole is entered the appearance, is typed the microphone and is typed camera fixed connection with the fingerprint respectively.
Preferably, the inside of the heat dissipation device comprises a first motor, a first rotating shaft and a heat dissipation fan, the outer side wall of the heat dissipation frame is fixedly connected with a first support, the first rotating shaft penetrates through the inside of the heat dissipation frame and extends to the heat dissipation frame, and the outer side wall of the heat dissipation frame is provided with a first bearing.
Preferably, the first rotating shaft rotates on the inner side wall of the first bearing, one end of the first support is fixedly connected with the outer side wall of the first motor, the output end of the first motor is fixedly connected with one end of the first rotating shaft, and the other end of the first rotating shaft is fixedly connected with the cooling fan.
Preferably, the inside of airflow device includes second motor, second pivot and air current fan, the lateral wall fixedly connected with second support of heat dissipation frame bottom, the bottom lateral wall of heat dissipation frame is provided with the second bearing, the second pivot runs through the inside that the heat dissipation frame extended to the heat dissipation frame.
Preferably, the output end of the second motor is fixedly connected with one end of a second rotating shaft, the other end of the second rotating shaft is fixedly connected with the airflow fan, the second rotating shaft rotates on the inner side wall of the second bearing, and one end of the second support is fixedly connected with the outer side wall of the second motor.
Preferably, a fixing plate is arranged at the joint of the heat dissipation frame and the central server, a plurality of heat dissipation holes are formed in the side wall of the fixing plate, and a plurality of heat dissipation holes are formed in the outer side wall of the heat dissipation frame.
Preferably, the inside of dustproof device includes two magnets and dustproof baffle, resetting means's inside includes flexible spout, telescopic link and reset spring, the lateral wall fixed connection of magnet and discernment frame, the discernment frame is located the lateral wall fixedly connected with second connecting block at two magnet centers, dustproof baffle is close to the first connecting block of lateral wall fixedly connected with of second connecting block.
Preferably, the lateral wall of first connecting block respectively with telescopic link and reset spring's one end fixed connection, the lateral wall of second connecting block respectively with telescopic chute and reset spring's opposite side fixed connection, the lateral wall fixedly connected with handle of first connecting block one side is kept away from to the ash-proof baffle, the telescopic link is with telescopic chute's inside wall swing joint.
Compared with the prior art, the invention has the beneficial effects that:
1. through the cooperation between central server, thing networking module, fingerprint identification module, speech recognition module and the image recognition module, realized effectively promoting artificial intelligence identification system reliability, more can highlight artificial intelligence's advantage, avoided because artificial intelligence identification system's negligence to the loss of property has been reduced effectively.
2. Through the cooperation between heat extraction hole, louvre, first motor, first pivot and radiator fan, realized the radiating effect to central server, avoided central server to be difficult to scatter and disappear because the heat that sealed setting caused to lead to central server takes place owing to being heated the condition of uneven and damaging, is favorable to central server to work effectively, has prolonged central server's life indirectly.
3. Through the cooperation between second motor, second pivot and the air current fan, realized the circulation of the inside air current of heat dissipation frame, because the circulation effect of heat dissipation frame air current for in the heat that scatters and disappears among the central server can be more quickly from the louvre in the air of discharging, make the work efficiency of central server obtain further guarantee.
4. Through preventing grey baffle, the mating reaction between handle and the magnet, make the fingerprint of preventing in the grey frame type into the appearance, type into the microphone and type into the camera and obtain long-term saving, avoided the fingerprint type into the appearance, type into the microphone and type into the surface of camera and be stained with the dust and to type into the fingerprint, the influence that pronunciation and facial information caused, and simultaneously, because the setting of magnet, on the one hand, realized the adsorption to preventing grey baffle, on the other hand, reached the effect to this worker's intelligent recognition system fixed mounting on iron gate surface.
5. Through the cooperation between flexible spout, telescopic link and the reset spring, realized the automatic re-setting effect to preventing grey baffle, reduced the trouble step of artifical manual promotion.
Drawings
FIG. 1 is a schematic structural diagram of a computer-based artificial intelligence recognition system according to the present invention;
FIG. 2 is a schematic cross-sectional view taken along line A-A of FIG. 1;
FIG. 3 is a schematic side view of a computer-based artificial intelligence recognition system in accordance with the present invention;
FIG. 4 is a schematic diagram of a back side of a computer-based artificial intelligence recognition system in accordance with the present invention;
FIG. 5 is an enlarged schematic view of the structure shown at B in FIG. 4;
FIG. 6 is a block diagram of a computer-based artificial intelligence recognition system according to the present invention;
FIG. 7 is a schematic diagram of a fingerprint recognition module and a voice recognition module of a computer-based artificial intelligence recognition system according to the present invention;
fig. 8 is a schematic diagram of an image recognition module of a computer-based artificial intelligence recognition system according to the present invention.
In the figure: the system comprises an identification outer frame, a central server, a heat dissipation frame, a dust prevention frame, a telescopic chute 5, a telescopic rod 6, a return spring 7, a fixing plate 8, a signal transmission rod 9, a first support 10, a second support 11, a first motor 12, a second motor 13, a first rotating shaft 14, a second rotating shaft 15, a first bearing 16, a second bearing 17, a heat dissipation fan 18, an airflow fan 19, heat dissipation holes 20, a dust prevention baffle 21, a handle 22, a heat dissipation hole 23, a magnet 24, a first connecting block 25 and a second connecting block 26.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-8, an artificial intelligence identification system based on computer, including discernment frame 1, discernment frame 1's inside is provided with heat dissipation frame 3, central server 2, prevents grey frame 4, thing networking module, fingerprint identification module, speech recognition module and image recognition module, thing networking module respectively with fingerprint identification module, speech recognition module and image recognition module between signal connection, heat dissipation frame 3's inside is provided with heat abstractor and air current device, prevent grey frame 4's inside is provided with prevents grey device and resetting means.
The inside of the central server 2 comprises a processor and a memory, the processor is in signal connection with the Internet of things module, the inside of the fingerprint identification module comprises a fingerprint input instrument and a fingerprint identification unit, the inside of the voice identification module comprises an input microphone and a voice identification unit, the inside of the image identification module comprises a face input module, a photo input module and an image identification module, the inside of the face input module comprises an input camera and a mobile phone conduction unit, the inside of the photo input module comprises a remote transmission unit and a field registration unit, and the matching action among the central server 2, the Internet of things module, the fingerprint identification module, the voice identification module and the image identification module realizes effective improvement on the reliability of the artificial intelligent identification system, can better highlight the advantages of the artificial intelligence, and avoids negligence of the artificial intelligent identification system, thereby effectively reducing property loss.
Appearance is entered to the fingerprint, type the microphone and type the camera and all be located the inside of preventing grey frame 4, central server 2 is located the three signal transmission pole 9 of lateral wall fixedly connected with of preventing grey frame 4 one side, just signal transmission pole 9 runs through the inside that prevents grey frame 4 and extend to prevent grey frame 4, and is three the appearance is entered, type the microphone and type camera fixed connection with the fingerprint respectively to the one end of signal transmission pole 9.
The inside of heat abstractor includes first motor 12, first pivot 14 and radiator fan 18, the lateral wall fixedly connected with first support 10 of heat dissipation frame 3, first pivot 14 runs through the inside that heat dissipation frame 3 extended to heat dissipation frame 3, the lateral wall of heat dissipation frame 3 is provided with first bearing 16.
The first rotating shaft 14 rotates on the inner side wall of the first bearing 16, one end of the first bracket 10 is fixedly connected with the outer side wall of the first motor 12, the output end of the first motor 12 is fixedly connected with one end of the first rotating shaft 14, and the other end of the first rotating shaft 14 is fixedly connected with the cooling fan 18.
Airflow device's inside includes second motor 13, second pivot 15 and air current fan 19, the lateral wall fixedly connected with second support 11 of heat dissipation frame 3 bottom, the bottom lateral wall of heat dissipation frame 3 is provided with second bearing 17, second pivot 15 runs through the inside that heat dissipation frame 3 extends to heat dissipation frame 3, through the mating reaction between second motor 13, second pivot 15 and the air current fan 19, has realized the circulation effect of the inside air current of heat dissipation frame 3, because the circulation of the 3 air currents of heat dissipation frame for the heat that scatters and disappears in the central server 2 can discharge into the air from louvre 20 more fast, makes central server 2's work efficiency obtain further guarantee.
The output end of the second motor 13 is fixedly connected with one end of a second rotating shaft 15, the other end of the second rotating shaft 15 is fixedly connected with an airflow fan 19, the second rotating shaft 15 rotates on the inner side wall of a second bearing 17, and one end of the second support 11 is fixedly connected with the outer side wall of the second motor 13.
The junction of heat dissipation frame 3 and central server 2 is provided with fixed plate 8, a plurality of heat dissipation holes 23 have been seted up on the lateral wall of fixed plate 8, a plurality of louvres 20 have been seted up to the lateral wall of heat dissipation frame 3, through the cooperation between heat dissipation hole 23, louvre 20, first motor 12, first pivot 14 and radiator fan 18, realized the radiating effect to central server 2, avoided central server 2 to be difficult to scatter and disappear because the heat that sealed setting caused to lead to central server 2 to the condition emergence of damaging because of being heated unevenly, be favorable to central server 2 to work effectively, indirectly prolonged central server 2's life.
The interior of the dustproof device comprises two magnets 24 and a dustproof baffle 21, the interior of the reset device comprises a telescopic chute 5, a telescopic rod 6 and a reset spring 7, the magnets 24 are fixedly connected with the outer side wall of the identification outer frame 1, the identification outer frame 1 is positioned at the center of the two magnets 24, the dustproof baffle 21 is close to the first connecting block 25 fixedly connected with the outer side wall of the second connecting block 26, and the fingerprint input instrument, the input microphone and the input camera in the dustproof frame 4 are stored for a long time through the cooperation effect between the dustproof baffle 21, the handle 22 and the magnets 24, so that the influence on the input fingerprint, the voice and the facial information caused by the fact that the surfaces of the fingerprint input instrument, the input microphone and the input camera are stained with dust is avoided, meanwhile, because of the arrangement of the magnets 24, on one hand, the adsorption effect on the dustproof baffle 21 is realized, on the other hand, the effect of fixedly installing the artificial intelligence recognition system on the surface of the iron door is achieved.
The lateral wall of first connecting block 25 respectively with the one end fixed connection of telescopic link 6 and reset spring 7, the lateral wall of second connecting block 26 respectively with telescopic chute 5 and reset spring 7's opposite side fixed connection, the lateral wall fixedly connected with handle 22 of first connecting block 25 one side is kept away from to prevent grey baffle 21, telescopic link 6 and telescopic chute 5's inside wall swing joint through the mating reaction between telescopic chute 5, telescopic link 6 and the reset spring 7, realized the automatic re-setting effect to preventing grey baffle 21, reduced the trouble step of artifical manual promotion.
The working principle is as follows:
according to the invention, firstly, the fingerprint information of a user can be input into the fingerprint identification module through the fingerprint input instrument, the corresponding information is transmitted into the Internet of things module, then the voice information of the user can be transmitted into the voice identification module through the input microphone, the voice identification module transmits the information to the Internet of things module, then the facial information of the user can be transmitted into the image identification module through the input camera or the mobile phone transmission unit, the image identification module also transmits the received information to the Internet of things module, the Internet of things module transmits the received information to the processor, and then the processor transmits the information to the memory for storage.
The remote transmission unit and the field registration unit are used for recording photos, and another image recognition channel is opened.
When the central server 2 works, the first rotating shaft 14 rotates by turning on the switch of the first motor 12, so as to drive the cooling fan 18 to rotate, and thus the heat of the central server 2 is cooled, and in addition, the second rotating shaft 15 rotates by turning on the switch of the second motor 13, so that the corresponding airflow fan 19 rotates, and the dissipation of the heat inside the cooling frame 3 is accelerated.
When recording corresponding identification information, the user can pull the handle 22, the dust-proof baffle 21 leaves the magnet 24, the reset spring 7 extends, the telescopic rod 6 extends in the telescopic chute 5, then, the identification information can be recorded, after the recording is finished, the user loosens the handle 22, the reset spring 7 resets to drive the telescopic rod 6 to reset, and the dust-proof baffle 21 and the magnet 24 are adsorbed again.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. The utility model provides an artificial intelligence identification system based on computer, includes discernment frame (1), its characterized in that, the inside of discernment frame (1) is provided with heat dissipation frame (3), central server (2), prevents grey frame (4), thing networking module, fingerprint identification module, speech recognition module and image recognition module, thing networking module respectively with fingerprint identification module, speech recognition module and image recognition module between signal connection, the inside of heat dissipation frame (3) is provided with heat abstractor and air current device, the inside of preventing grey frame (4) is provided with prevents grey device and resetting means.
2. The computer-based artificial intelligence recognition system of claim 1, wherein the interior of the central server (2) comprises a processor and a memory, the processor is in signal connection with the internet of things module, the interior of the fingerprint recognition module comprises a fingerprint input device and a fingerprint analysis unit, the interior of the voice recognition module comprises an input microphone and a voice analysis unit, the interior of the image recognition module comprises a face input module, a photo input module and an image analysis module, the interior of the face input module comprises an input camera and a mobile phone conduction unit, and the interior of the photo input module comprises a remote transmission unit and a field registration unit.
3. The computer-based artificial intelligence recognition system according to claim 1 or 2, wherein the fingerprint input device, the input microphone and the input camera are all located inside the dustproof frame (4), the outer side wall of the central server (2) located on one side of the dustproof frame (4) is fixedly connected with three signal transmission rods (9), the signal transmission rods (9) penetrate through the dustproof frame (4) and extend to the inside of the dustproof frame (4), and the three ends of the signal transmission rods (9) are respectively fixedly connected with the fingerprint input device, the input microphone and the input camera.
4. The computer-based artificial intelligence recognition system according to claim 1, wherein the interior of the heat sink includes a first motor (12), a first rotating shaft (14) and a heat dissipation fan (18), the outer side wall of the heat dissipation frame (3) is fixedly connected with a first bracket (10), the first rotating shaft (14) extends through the heat dissipation frame (3) to the interior of the heat dissipation frame (3), and the outer side wall of the heat dissipation frame (3) is provided with a first bearing (16).
5. The artificial intelligence recognition system based on computer according to claim 4, wherein the first shaft (14) rotates on the inner sidewall of the first bearing (16), one end of the first bracket (10) is fixedly connected to the outer sidewall of the first motor (12), the output end of the first motor (12) is fixedly connected to one end of the first shaft (14), and the other end of the first shaft (14) is fixedly connected to the heat dissipation fan (18).
6. The computer-based artificial intelligence recognition system of claim 1, wherein the interior of the airflow device comprises a second motor (13), a second rotating shaft (15) and an airflow fan (19), the side wall of the bottom of the heat dissipation frame (3) is fixedly connected with a second bracket (11), the side wall of the bottom of the heat dissipation frame (3) is provided with a second bearing (17), and the second rotating shaft (15) penetrates through the heat dissipation frame (3) and extends to the interior of the heat dissipation frame (3).
7. A computer-based artificial intelligence recognition system according to claim 6, wherein the output of the second motor (13) is fixedly connected to one end of a second shaft (15), the other end of the second shaft (15) is fixedly connected to the airflow fan (19), the second shaft (15) rotates on the inner side wall of the second bearing (17), and one end of the second bracket (11) is fixedly connected to the outer side wall of the second motor (13).
8. The computer-based artificial intelligence recognition system of claim 1, wherein a fixing plate (8) is disposed at a connection position of the heat dissipation frame (3) and the central server (2), a plurality of heat dissipation holes (23) are formed in a side wall of the fixing plate (8), and a plurality of heat dissipation holes (20) are formed in an outer side wall of the heat dissipation frame (3).
9. The computer-based artificial intelligence recognition system of claim 1, wherein the interior of the dust-proof device comprises two magnets (24) and a dust-proof baffle (21), the interior of the reset device comprises a telescopic chute (5), a telescopic rod (6) and a reset spring (7), the magnets (24) are fixedly connected with the outer side wall of the recognition outer frame (1), the recognition outer frame (1) is fixedly connected with a second connecting block (26) at the center of the two magnets (24), and the dust-proof baffle (21) is fixedly connected with a first connecting block (25) near the outer side wall of the second connecting block (26).
10. The computer-based artificial intelligence recognition system of claim 9, wherein the outer side wall of the first connecting block (25) is fixedly connected with one end of the telescopic rod (6) and one end of the return spring (7), the outer side wall of the second connecting block (26) is fixedly connected with the other side of the telescopic chute (5) and the other side of the return spring (7), the outer side wall of the dust-proof baffle (21) far away from one side of the first connecting block (25) is fixedly connected with the handle (22), and the telescopic rod (6) is movably connected with the inner side wall of the telescopic chute (5).
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CN107578519A (en) * | 2017-10-24 | 2018-01-12 | 北京樱桃智心科技有限公司 | A kind of intelligent access control system and intelligent entrance guard method for unlocking |
CN107564121A (en) * | 2017-10-30 | 2018-01-09 | 四川道勤信业科技有限公司 | A kind of multifunctional fingerprint attendance recorder |
CN108806032A (en) * | 2018-04-10 | 2018-11-13 | 浙江易云物联科技有限公司 | A kind of intelligent access control system |
CN111476934A (en) * | 2020-04-09 | 2020-07-31 | 安徽诺星信息科技有限公司 | Intelligent entrance guard security protection control system |
CN112488017A (en) * | 2020-12-09 | 2021-03-12 | 南京拟态智能技术研究院有限公司 | Fingerprint identification device based on artificial intelligence |
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