CN106952373A - A kind of artificial intelligence system recognized based on dynamic image - Google Patents
A kind of artificial intelligence system recognized based on dynamic image Download PDFInfo
- Publication number
- CN106952373A CN106952373A CN201710177574.XA CN201710177574A CN106952373A CN 106952373 A CN106952373 A CN 106952373A CN 201710177574 A CN201710177574 A CN 201710177574A CN 106952373 A CN106952373 A CN 106952373A
- Authority
- CN
- China
- Prior art keywords
- pins
- process chip
- resistance
- optical coupler
- signal
- 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.)
- Granted
Links
Classifications
-
- 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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00571—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys operated by interacting with a central unit
-
- 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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00563—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys using personal physical data of the operator, e.g. finger prints, retinal images, voicepatterns
-
- 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
- G07C9/00174—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys
- G07C9/00896—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses
- G07C9/00904—Electronically operated locks; Circuits therefor; Nonmechanical keys therefor, e.g. passive or active electrical keys or other data carriers without mechanical keys specially adapted for particular uses for hotels, motels, office buildings or the like
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Geophysics And Detection Of Objects (AREA)
- Optical Communication System (AREA)
Abstract
The invention discloses a kind of artificial intelligence system recognized based on dynamic image, it is characterised in that：Mainly by microprocessor, the storage module being connected with microprocessor, image signal processing unit, buzzer, display screen, driver and power supply, and the image acquisition device composition being connected with image signal processing unit.The image signal processing unit of the present invention can be fast and accurately handled image acquisition device acquired image signal, make signal more stable, more accurate；The signal that the microprocessor of the present invention can be transmitted according to image signal processing unit is analyzed and compared, the microprocessor simultaneously can export accurate control signal by analysis and comparison result, so that it is guaranteed that the accuracy for the control signal that the present invention is exported, has effectively eliminated the potential safety hazard that gate inhibition brings.
Description
Technical field
The present invention relates to a kind of artificial intelligence system, a kind of artificial intelligence system recognized based on dynamic image is specifically referred to
System.
Background technology
With continuing to develop for social science and technology, artificial intelligence system is widely applied to building, office, market, lived
In the access controls such as room.Artificial intelligence system is a kind of biological noisy real links of neuron in the brain of energy simulation, and externally
Carrying out signal has the intelligence system of autonomous analysis ability.However, the artificial intelligence system for being currently used for gate inhibition is gathered to collector
Signal analysis and processing effect it is poor, cause intelligence system export control signal there is deviation, cause intelligence system to export
Control signal it is inaccurate so that gate inhibition brings certain potential safety hazard.
The content of the invention
It is an object of the invention to overcome the signal analysis and processing that existing gate inhibition is gathered with intelligence system to collector
The poor defect of effect there is provided a kind of artificial intelligence system recognized based on dynamic image.
The purpose of the present invention passes through following technical proposals reality：A kind of artificial intelligence system recognized based on dynamic image,
Mainly by microprocessor, the storage module being connected with microprocessor, image signal processing unit, buzzer, display screen, drive
Dynamic device and power supply, and the image acquisition device composition being connected with image signal processing unit；Described image collector, display
Screen, driver and buzzer are connected with power supply respectively；Described image signal processing unit is serially connected in image by process chip U3
High-frequency signal receiving circuit between collector and process chip U3 TXD pins, is serially connected in image acquisition device and process chip
Low frequency signal between U3 RXT pins receives amplifying circuit, and the CANH pins and CANL with process chip U3 are managed respectively
The signal adjustment circuit composition that pin and RS pins are connected with GND pins；The low frequency signal receives amplifying circuit and processing
Chip U3 GND pins are connected.
The high-frequency signal receiving circuit is by optical coupler U1, and one end is connected with image acquisition device, the other end and optical coupler
Resistance R1, the N pole that U1 IN pins are connected is connected after resistance R2 with optical coupler U1 VCC pins, P poles are connected with power supply
The voltage-regulator diode D1 connect, and positive pole is connected after resistance R3 with optical coupler U1 OUT pins, negative pole after inductance L with
The polar capacitor C1 compositions that process chip U3 TXD pins are connected；The VDD pins of the optical coupler U1 are connected with external power source
Connect, its GND pin is grounded, optical coupler U1 EN pins are connected with VCC pins.
The low frequency signal receives amplifying circuit by optical coupler U2, amplifier P, one end is connected with amplifier P positive pole,
The resistance R4 that the other end is connected with optical coupler U2 OUT pins, positive pole is connected with amplifier P negative pole, negative pole is grounded
Polar capacitor C3, the resistance R5 that one end is connected with amplifier P positive pole, the other end is connected with amplifier P output end, bear
The polar capacitor C2 that pole is connected with amplifier P positive pole, positive pole is connected with amplifier P output end, negative pole is through resistance R6
Be connected afterwards with amplifier P output end, the polar capacitor C4 that positive pole is connected with process chip U3 RXD pins, and N poles
It is connected with optical coupler U2 VCC pins, the voltage-regulator diode D2 that P poles are connected with power supply is constituted；The IN of the optical coupler U2
It is grounded after pin is connected with image acquisition device, its VDD pin is connected with optical coupler U1 pin；The optical coupler U2's
GND pins ground connection, its EN pin are connected with VCC pins；Managed with process chip U3 VCC the N poles of the voltage-regulator diode D2
Pin is connected；The negative pole of the polar capacitor C3 is connected with process chip U3 GND pins.
The signal adjustment circuit is by triode VT, and one end is connected with triode VT base stage, the other end is with handling core
The resistance R8 that piece U3 RS pins are connected, positive pole is connected with triode VT colelctor electrode, negative pole after resistance R9 with processing
Polar capacitor C6, the P pole that chip U3 GND pins are connected is connected after resistance R11 with process chip U3 GND pins, N
Pole is collectively forming the diode D3 of signal adjustment circuit output end with triode VT emitter stage, and positive pole is with process chip U3's
The polar capacitor C5 that CANL pins are connected, negative pole is connected after resistance R10 with diode D3 N poles, and one end and three
The resistance R7 compositions that pole pipe VT emitter stage is connected, the other end is connected with process chip U3 CANH pins.
For the practical effect of the present invention, the process chip U3 is PCA82C250 integrated chips；The optical coupler
U1 and optical coupler U2 are 6N137 high speed photo coupling devices.
The present invention has advantages below and beneficial effect compared with prior art：
(1) image signal processing unit of the invention can carry out quick, accurate to image acquisition device acquired image signal
True processing, makes signal more stable, more accurate；The letter that the microprocessor of the present invention can be transmitted according to image signal processing unit
Number analyzed and compared, the microprocessor simultaneously can export accurate control signal by analysis and comparison result, so that it is guaranteed that
The accuracy for the control signal that the present invention is exported, has effectively eliminated the potential safety hazard that gate inhibition brings.
(2) high-frequency signal receiving circuit is provided with image signal processing unit of the invention and low frequency signal receives amplification
Interference in circuit and signal adjustment circuit, the high-frequency signal that the high-frequency signal receiving circuit can be transmitted to image acquisition device
Signal is suppressed or eliminated；Low frequency signal receives the interference in the low frequency signal that amplifying circuit can be transmitted to image acquisition device
Signal is suppressed or eliminated, and the frequency of low frequency signal is amplified；Signal adjustment circuit can be to output signal bandwidth, frequency
Rate is adjusted, and makes the signal of output more steady, more accurate.
(3) when the information in the information and storage module obtained by microprocessor of the invention is not inconsistent, buzzer can be sent
Prompt tone, allows one to timely learn that someone visits, so that intelligence system realizes the safety present in gate inhibition well
The problem of hidden danger.
(4) process chip U3 of the invention preferentially employs PCA82C250 integrated chips to realize, the PCA82C250 collection
The features such as having low noise, Current amplifier into chip, process chip U is combined with peripheral circuit, can effectively improve image
Signal processing unit is to the accuracy of signal transacting, so that it is guaranteed that the accuracy for the control signal that the present invention is exported.
Brief description of the drawings
Fig. 1 is overall structure block diagram of the invention.
Fig. 2 is the electrical block diagram of the hi-vision signal processing unit of the present invention.
Embodiment
The present invention is described in further detail with reference to embodiment, but embodiments of the present invention are not limited to
This.
Embodiment
As shown in figure 1, the present invention is main by microprocessor, the storage module being connected with microprocessor, picture signal
Processing unit, buzzer, display screen, driver and power supply, and the image acquisition device being connected with image signal processing unit
Composition.
Wherein, described detecting signal unit is as shown in Fig. 2 it is by process chip U3, high-frequency signal receiving circuit, low frequency
Receiver amplifier and signal adjustment circuit composition.Described image collector, display screen, driver and buzzer difference
It is connected with power supply；Heretofore described power supply is 12V dc sources, and the power supply is powered for whole control system.The figure
As signal processing unit is by process chip U3, the high frequency letter between image acquisition device and process chip U3 TXD pins is serially connected in
Number receiving circuit, the low frequency signal being serially connected between image acquisition device and process chip U3 RXT pins receives amplifying circuit, with
And the signal adjustment circuit being connected respectively with process chip U3 CANH pins and CANL pins and RS pins and GND pins
Composition；The low frequency signal receives amplifying circuit and is connected with process chip U3 GND pins.
Meanwhile, the microprocessor in the present invention employs 386EX embeded processors, and the 386EX embeded processors are
80C51 type single-chip microcomputers, the power input interface of the 80C51 type single-chip microcomputers is connected with power supply, may be programmed buzzing driving interface with
Buzzer is connected, and feedback of the information interface is connected with storage module, and display driving interface is connected with display screen, driving output
Interface is connected with driver, and AD conversion computing interface is connected with image signal processing unit.
The information that the microprocessor of the present invention is used to gather image acquisition device is analyzed and processed.Image acquisition device is adopted
With the WINCOM501 image acquisition devices with collection image sensing technology, the image acquisition device is used in its acquisition range
Image information is acquired, and the picture signal that image acquisition device is transmitted is to carry out handling laggard by image signal processing unit
Row transmission, the interference signal in the low-and high-frequency electric signal that the image signal processing unit is transmitted to image acquisition device presses down
System is eliminated, and the frequency of low frequency signal is amplified, while the bandwidth to the signal after processing is adjusted, makes microprocessor
The electric signal that device is received is more stable, more accurate.Image acquisition device is by the electric signal transmission after processing to microprocessor, microprocessor
Device obtains an image identification codes after being analyzed and processed to the electric signal of reception.Described storage module employs SMB-
KJ-C6-020 storage modules, the storage module is used to store image identification codes, and the image identification codes are the face figure prestored
As code.
Operationally, first, facial image code is stored into storage module by microprocessor by the present invention.Work as someone
When in the acquisition range for the image acquisition device for entering intelligence system, image acquisition device is adopted to the facial image information of human body
The image information of collection is converted to electric signal transmission to image signal processing unit by collection, the image acquisition device.The picture signal
Interference signal in the low-and high-frequency electric signal that processing unit is transmitted to image acquisition device is suppressed or eliminated, and low frequency is believed
Number frequency be amplified, while the bandwidth to the signal after processing is adjusted, make the electric signal that microprocessor is received more
Stable, more accurate, the image signal processing unit is by the electric signal transmission microprocessor after processing.The microprocessor is to reception
Electric signal obtains an image identification codes after being analyzed and processed, microprocessor is by the image identification codes and storage module
The image identification codes prestored are compared, if the image in the image identification codes and storage module obtained by microprocessor
Cognizance code is consistent, and microprocessor output control signal is to driver.The driver output driving current to the motor in gate inhibition,
Motor obtains electric rotation, and motor drives door-plate to open, and identified people just can get in.
When the image identification codes in the image identification codes and storage module obtained by microprocessor are inconsistent, illustrate this
Identified person is not belonging to the personnel into the gate inhibition, the microprocessor gate inhibition that output control signal, the i.e. intelligence system are not controlled
It will not be unlocked, identified personnel can not enter within doors.Meanwhile, microprocessor output control electric current is to buzzer, the buzzing
Device sends prompt tone, and in order to which indoor personnel can learn that someone comes to visit in time, the face image of visiting personnel can be displayed on
On display screen, it is easy to the personnel of interior to confirm visiting personnel, so that intelligence system realizes gate inhibition and deposited well
Potential safety hazard the problem of.Driver of the present invention is existing F3922 types motor driver, and the driver can pass through
External signal is received to be controlled come the break-make to driving current.
The collection distance of the image acquisition device of the present invention is set to 1m, to prevent by personnel's quilt near the intelligence system
Gather by mistake, the identification distance can be adjusted according to concrete condition when using.Identified personnel are beyond the image acquisition device
During acquisition range, intelligence system can access control closing.The structure of heretofore described gate inhibition is conventional gate inhibition's structure, its
Including access controller, electric rolling cylinder, slide rail, door-plate etc., its annexation constituted be also it is existing, therefore, the present invention
The structure to gate inhibition is not described in detail.
In order to ensure the accuracy of control signal that the present invention is exported, come pair present invention employs image signal processing unit
Signal is handled, and the image signal processing unit is as shown in Fig. 2 it is by process chip U3, high-frequency signal receiving circuit, low frequency
Receiver amplifier, and signal adjustment circuit composition；The high frequency that high-frequency signal receiving circuit is exported to image acquisition device
Interference signal in electric signal is eliminated, and low frequency signal is received in the high frequency electrical signal that amplifying circuit is exported to image acquisition device
Interference signal eliminated, and the frequency of signal is adjusted, high-frequency signal receiving circuit and low frequency signal receive amplification
Electric signal after processing of circuit is transferred to process chip U3 respectively, and process chip U3 is then carried out from gain to the electric signal of input
Regulation, process chip U3 is then by from the electric signal transmission after gain-adjusted, to signal adjustment circuit, the signal adjustment circuit is to electricity
The bandwidth of signal is transferred to microprocessor after being adjusted.
The high-frequency signal receiving circuit by optical coupler U1, resistance R1, resistance R2, resistance R3, polar capacitor C1, inductance L,
And voltage-regulator diode D1 compositions.
During connection, resistance R1 one end is connected with image acquisition device, and the other end is connected with optical coupler U1 IN pins.
Voltage-regulator diode D1 N poles are connected after resistance R2 with optical coupler U1 VCC pins, and P poles are connected with power supply.Polar capacitor
C1 positive pole is connected after resistance R3 with optical coupler U1 OUT pins, and negative pole is managed after inductance L with process chip U3 TXD
Pin is connected.The VDD pins of the optical coupler U1 are connected with external power source, its GND pin ground connection, optical coupler U1 EN pipes
Pin is connected with VCC pins.
During operation, power supply provides 3.5V operating voltage by optical coupler U1 VDD pins, and power supply passes through simultaneously
1N4001 type voltage-regulator diodes D1 carries out voltage stabilizing, and power supply passes through resistance R2 of the resistance for 10K Ω after voltage-regulator diode D1 voltage stabilizings
VCC pin of the power supply through optical coupler U1 after current limliting, current limliting provides another 5V operating voltage for optical coupler U1；IMAQ
The high frequency electrical signal of device output is 22 Ω through resistance and carries out current limliting as the resistance R1 of sampling resistor, and resistance R1 is by after current limliting
High frequency electrical signal is transferred to optical coupler U1, and optical coupler U1 is handled the frequency of the signal of input, and optical coupler U1 passes through OUT
Resistance R3 of the electric signal after processing through 20K Ω is carried out the electric signal after current limliting, current limliting through polarity of the capacitance for 2.2 μ F by pin
Electric capacity C1 is filtered, and effectively the interference signal in electric signal is eliminated or suppressed, filtered through polar capacitor C1
Electric signal is transferred to process chip U3 after 220 μ H inductance L, so that high-frequency signal receiving circuit realizes the height to input
The effect that interference signal in frequency electric signal is eliminated or suppressed.
Further, the low frequency signal receives amplifying circuit by optical coupler U2, amplifier P, resistance R4, resistance R5, electricity
R6, polar capacitor C2, polar capacitor C3, polar capacitor C4 are hindered, and I throws away 2 compositions.
During connection, resistance R4 one end is connected with amplifier P positive pole, the OUT pin phases of the other end and optical coupler U2
Connection.Polar capacitor C3 positive pole is connected with amplifier P negative pole, negative pole ground connection.Resistance R5 one end and amplifier P are just
Pole is connected, and the other end is connected with amplifier P output end.Polar capacitor C2 negative pole is connected with amplifier P positive pole,
Positive pole is connected with amplifier P output end.Output end of the polar capacitor C4 negative pole with amplifier P after resistance R6 is connected
Connect, positive pole is connected with process chip U3 RXD pins.Voltage-regulator diode D2 N poles are connected with optical coupler U2 VCC pins
Connect, P poles are connected with power supply.
The IN pins of the optical coupler U2 are connected with image acquisition device, and its VDD pin is connected with optical coupler U1 pin
It is grounded after connecing；The GND pins ground connection of the optical coupler U2, its EN pin is connected with VCC pins；The voltage-regulator diode D2's
N poles are connected with process chip U3 VCC pins；The negative pole of the polar capacitor C3 is connected with process chip U3 GND pins
Connect.
During operation, optical coupler U2 VDD pins obtain 3.5V work after being connected with optical coupler U1 VDD pins
Voltage, power supply carries out voltage stabilizing by 1N4001 type voltage-regulator diodes D2 simultaneously, and power supply passes through light after voltage-regulator diode D2 voltage stabilizings
Coupling device U2 VCC pins provide another 5V operating voltage for optical coupler U2；The low-frequency electrical signal of image acquisition device output is passed
It is defeated by optical coupler U2 and enters to carry out the low-frequency electrical signal warp after current limliting, current limliting after line frequency adjustment through the resistance R4 that resistance is 10K Ω
Model OP364 amplifier P, resistance is 10K Ω resistance R5, and capacitance is 47 μ F polar capacitor C3, and capacitance is 0.2 μ F's
The amplifying circuit of polar capacitor C2 formation enters line frequency amplification, and the electric signal after frequency amplification is through resistance R6 of the resistance for 390 Ω
The polar capacitor C4 that capacitance is 0.2 μ F is transferred to, polar capacitor C4 is filtered to the electric signal of reception, effectively eliminates electricity
Filtered electric signal transmission is given process chip U3 by the interference signal of signal, last polar capacitor C4, so that low frequency signal
Reception amplifying circuit, which is realized, to be eliminated or is suppressed to the interference signal in electric signal, and enters what line frequency was adjusted to electric signal
Effect.
Yet further, the signal adjustment circuit is by triode VT, resistance R7, resistance R8, resistance R9, resistance R10, electricity
Hinder R11, polar capacitor C5, polar capacitor C6, and diode D3 composition.
During connection, resistance R8 one end is connected with triode VT base stage, the RS pin phases of the other end and process chip U3
Connection.Polar capacitor C6 positive pole is connected with triode VT colelctor electrode, GND of the negative pole after resistance R9 with process chip U3
Pin is connected.Diode D3 P poles are connected after resistance R11 with process chip U3 GND pins, N poles and triode VT
Emitter stage be collectively forming signal adjustment circuit output end.Polar capacitor C5 positive pole is connected with process chip U3 CANL pins
Connect, negative pole is connected after resistance R10 with diode D3 N poles.Resistance R7 one end is connected with triode VT emitter stage,
The other end is connected with process chip U3 CANH pins.
During operation, process chip U3 carries out frequency gain processing, the electricity after process chip U3 processing to the electric signal of input
Signal is then exported through CANH pins and CANL pins and RS pins respectively, and the electric signal that RS pins are exported is 4.4K Ω through resistance
Resistance R8 after be transferred to model 3DG12 triode VT, the bandwidth of electric signal is adjusted triode VT, bandwidth adjustment
Electric signal afterwards is filtered through capacitance for 22 μ F polar capacitor C6, and filtered electric signal is through resistance of the resistance for 10K Ω
R9 and resistance R11 are dammed, and the electric current of the electric signal after damming turns on model 1N4011 diode D3, diode D3
Export electric signal；Meanwhile, the electric signal of process chip U3 CANL pins output is carried out through capacitance for 200 μ F polar capacitor C5
Filtering, filtered electric signal is micro- to be transferred to after being combined after 5 Ω resistance R10 with the diode D3 electric signals exported through resistance
Processor；The electric signal of process chip U3 outputs is transferred to microprocessor after the resistance R10 that resistance is 10 Ω, so that signal
Adjustment circuit is realized to be adjusted to output signal bandwidth, frequency, makes that the signal of output is more steady, more accurately effect.
For the practical effect of the present invention, process chip U3 of the invention preferentially employs the integrated cores of PCA82C250
Piece realizes that the PCA82C250 integrated chips have the features such as low noise, voltage amplification, process chip U3 can signal carry out
Automatic growth control；Process chip U3 is combined with peripheral circuit, can effectively improve image signal processing unit to signal
The accuracy of processing, so that it is guaranteed that the accuracy for the control signal that the present invention is exported.
As described above, the present invention just can be realized well.
Claims (6)
1. a kind of artificial intelligence system recognized based on dynamic image, it is characterised in that：It is main by microprocessor, and microprocessor
Storage module, image signal processing unit, buzzer, display screen, driver and power supply that device is connected, and and picture signal
The image acquisition device composition that processing unit is connected；Described image collector, display screen, driver and buzzer respectively with power supply
It is connected；Described image signal processing unit is serially connected in the TXD pins of image acquisition device and process chip U3 by process chip U3
Between high-frequency signal receiving circuit, the low frequency signal being serially connected between image acquisition device and process chip U3 RXT pins connects
Amplifying circuit is received, and is connected respectively with process chip U3 CANH pins and CANL pins and RS pins and GND pins
Signal adjustment circuit composition；The low frequency signal receives amplifying circuit and is connected with process chip U3 GND pins.
2. a kind of artificial intelligence system recognized based on dynamic image according to claim 1, it is characterised in that：The height
Frequency signal receiving circuit is by optical coupler U1, and one end is connected with image acquisition device, the other end is connected with optical coupler U1 IN pins
Resistance R1, the N pole connect is connected after resistance R2 with optical coupler U1 VCC pins, the voltage-regulator diode that P poles are connected with power supply
D1, and positive pole is connected after resistance R3 with optical coupler U1 OUT pins, TXD of the negative pole after inductance L with process chip U3
The polar capacitor C1 compositions that pin is connected；The VDD pins of the optical coupler U1 are connected with external power source, its GND pin connects
Ground, optical coupler U1 EN pins are connected with VCC pins.
3. a kind of artificial intelligence system recognized based on dynamic image according to claim 2, it is characterised in that：It is described low
Frequency receiver amplifier is by optical coupler U2, amplifier P, and one end is connected with amplifier P positive pole, the other end and optical coupler
The resistance R4 that U2 OUT pins are connected, positive pole is connected with amplifier P negative pole, the polar capacitor C3 of negative pole ground connection, one end
Be connected with amplifier P positive pole, the resistance R5 that the other end is connected with amplifier P output end, negative pole and amplifier P are just
The polar capacitor C2 that pole is connected, positive pole is connected with amplifier P output end, negative pole is defeated with amplifier P after resistance R6
Go out end be connected, the polar capacitor C4 that positive pole is connected with process chip U3 RXD pins, and N poles and optical coupler U2 VCC
The voltage-regulator diode D2 compositions that pin is connected, P poles are connected with power supply；The IN pins and image acquisition device of the optical coupler U2
It is connected, its VDD pin is grounded after being connected with optical coupler U1 pin；The GND pins ground connection of the optical coupler U2, its EN pipes
Pin is connected with VCC pins；The N poles of the voltage-regulator diode D2 are connected with process chip U3 VCC pins；The polarity electricity
The negative pole for holding C3 is connected with process chip U3 GND pins.
4. a kind of artificial intelligence system recognized based on dynamic image according to claim 3, it is characterised in that：The letter
Number adjustment circuit is by triode VT, and one end is connected with triode VT base stage, the other end and process chip U3 RS pin phases
The resistance R8 of connection, positive pole is connected with triode VT colelctor electrode, GND pin of the negative pole after resistance R9 with process chip U3
Polar capacitor C6, the P pole being connected is connected after resistance R11 with process chip U3 GND pins, N poles and triode VT
Emitter stage is collectively forming the diode D3 of signal adjustment circuit output end, positive pole is connected with process chip U3 CANL pins,
The polar capacitor C5 that negative pole is connected after resistance R10 with diode D3 N poles, and one end and triode VT emitter stage phase
The resistance R7 compositions that connection, the other end are connected with process chip U3 CANH pins.
5. a kind of artificial intelligence system recognized based on dynamic image according to claim 4, it is characterised in that：The place
It is PCA82C250 integrated chips to manage chip U3.
6. a kind of artificial intelligence system recognized based on dynamic image according to claim 4, it is characterised in that：The light
Coupling device U1 and optical coupler U2 are 6N137 high speed photo coupling devices.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710177574.XA CN106952373B (en) | 2017-03-23 | 2017-03-23 | Artificial intelligence system based on dynamic image recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710177574.XA CN106952373B (en) | 2017-03-23 | 2017-03-23 | Artificial intelligence system based on dynamic image recognition |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106952373A true CN106952373A (en) | 2017-07-14 |
| CN106952373B CN106952373B (en) | 2023-06-23 |
Family
ID=59472383
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710177574.XA Active CN106952373B (en) | 2017-03-23 | 2017-03-23 | Artificial intelligence system based on dynamic image recognition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106952373B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111586260A (en) * | 2020-05-10 | 2020-08-25 | 上海翼亮实业有限公司 | High-definition image signal processing system for construction effect display equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007124641A (en) * | 2006-10-11 | 2007-05-17 | Qinetiq Ltd | Imaging system |
| US20090190853A1 (en) * | 2006-08-11 | 2009-07-30 | Yo-Hwan Noh | Image noise reduction apparatus and method, recorded medium recorded the program performing it |
| CN103684280A (en) * | 2013-12-12 | 2014-03-26 | 复旦大学 | 0-10M broadband amplifier |
| CN105894460A (en) * | 2015-12-14 | 2016-08-24 | 乐视云计算有限公司 | Image filtering method and device |
| CN106375634A (en) * | 2016-08-30 | 2017-02-01 | 成都东创精英科技有限公司 | Multi-circuit adjusting type signal processing system for cruising device based on self-sensing technology |
-
2017
- 2017-03-23 CN CN201710177574.XA patent/CN106952373B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090190853A1 (en) * | 2006-08-11 | 2009-07-30 | Yo-Hwan Noh | Image noise reduction apparatus and method, recorded medium recorded the program performing it |
| JP2007124641A (en) * | 2006-10-11 | 2007-05-17 | Qinetiq Ltd | Imaging system |
| CN103684280A (en) * | 2013-12-12 | 2014-03-26 | 复旦大学 | 0-10M broadband amplifier |
| CN105894460A (en) * | 2015-12-14 | 2016-08-24 | 乐视云计算有限公司 | Image filtering method and device |
| CN106375634A (en) * | 2016-08-30 | 2017-02-01 | 成都东创精英科技有限公司 | Multi-circuit adjusting type signal processing system for cruising device based on self-sensing technology |
Non-Patent Citations (1)
| Title |
|---|
| 宋永强: "井下电视成像技术研究", 《中国优秀硕士学位论文全文数据库》, no. 4, pages 106 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111586260A (en) * | 2020-05-10 | 2020-08-25 | 上海翼亮实业有限公司 | High-definition image signal processing system for construction effect display equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106952373B (en) | 2023-06-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109573770A (en) | A kind of elevator operation monitoring system based on Internet of Things | |
| CN206610357U (en) | A kind of artificial intelligence system recognized based on dynamic image | |
| CN106952373A (en) | A kind of artificial intelligence system recognized based on dynamic image | |
| CN206147363U (en) | Pouity dwelling place intelligence control system based on thing networking | |
| CN208269357U (en) | A kind of intelligent cleaning control device | |
| CN108500981B (en) | Intelligent medicine delivery robot system based on Internet of things and medicine delivery method | |
| CN104881654B (en) | A kind of preposition amplifying type infrared imaging image identification system based on noise reduction process | |
| CN207115521U (en) | A kind of door-locking system of internet communication | |
| CN215932681U (en) | Attendance automatic identification device based on artificial intelligence | |
| CN213027968U (en) | Room temperature acquisition controller | |
| CN109869863A (en) | A kind of air purifier based on Internet technology | |
| CN209270443U (en) | A kind of magnetic dumping control and detection system for artificial heart axial-flow pump | |
| CN202789617U (en) | Intelligent governor of electric fan | |
| CN103353604A (en) | X-ray imaging system | |
| CN106855702A (en) | A kind of dyeing machine synchronization inspection and control system | |
| CN208188598U (en) | A kind of intelligent home voice group control system | |
| CN106455267A (en) | Intelligent energy saving lighting control system | |
| CN106227050A (en) | Window control system for smart home | |
| CN206209356U (en) | A kind of intelligent carriage control system suitable for mobile terminal device control | |
| CN205845136U (en) | A kind of Face datection control system based on HD video | |
| CN106539336A (en) | A kind of rifle cabinet | |
| CN205657896U (en) | Multicircuit processing formula high accuracy intelligence control system for light | |
| CN106132037A (en) | A kind of phase difference correction type energy-saving control system of LED double control-type level adjustment | |
| CN205610978U (en) | Sound and light control system of light based on linear drive circuit | |
| CN105427434A (en) | Buffer circuit-based wireless voice recognition access control system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |