CN215068846U

CN215068846U - Machine vision experiment teaching platform based on artificial intelligence

Info

Publication number: CN215068846U
Application number: CN202121326749.7U
Authority: CN
Inventors: 贾晖; 贾淼杰
Original assignee: Individual
Current assignee: Zhang Pengfei
Priority date: 2021-06-16
Filing date: 2021-06-16
Publication date: 2021-12-07
Anticipated expiration: 2031-06-16

Abstract

The utility model relates to the technical field of experimental teaching, and discloses a machine vision experiment teaching platform based on artificial intelligence, which comprises a case, wherein a mainboard is fixed on the rear surface inside the case, a screen is fixed on the front surface of the mainboard, three LED lamps, a camera and a power indicator are sequentially fixed on the front surface of the mainboard above the screen from left to right, and a memory module is fixed on the front surface of the mainboard below the screen, the utility model discloses a multifunctional artificial intelligence experiment development platform which can use Misiqi graphical programming to rapidly carry out human face recognition, object classification, speech recognition and the like by setting the mainboard, the camera, a WIFI chip, an MIC interface, a TF card slot, an IO expansion interface, a Type-C interface, a 24PIN digital video port, a loudspeaker and a CPU so that the experimental teaching platform can very easily use Misiqi graphical programming to rapidly develop various artificial intelligence deep learning models, more innovative applications were developed.

Description

Machine vision experiment teaching platform based on artificial intelligence

Technical Field

The utility model relates to an experiment teaching technical field specifically is machine vision experiment teaching platform based on artificial intelligence.

Background

The machine vision system converts a captured object into an image signal by an image capturing device, transmits the image signal to a dedicated image processing system, converts the image signal into a digital signal according to robust and sturdy information such as pixel distribution, width, color and the like, performs various calculations on the signal by the image system, extracts the characteristics of the object, and controls the operation of equipment on site according to the result of the determination. The existing machine vision experiment teaching platform based on artificial intelligence is not suitable for developing artificial intelligence teaching and learning, scientific experiments and innovation creation among vast schools, teachers, students and creative enthusiasts, cannot develop more and stronger artificial intelligence deep learning models according to needs, and cannot develop more innovation applications.

SUMMERY OF THE UTILITY MODEL

Technical problem to be solved

The machine vision experiment teaching platform based on artificial intelligence has solved current machine vision experiment teaching platform based on artificial intelligence and has not been applicable to develop artificial intelligence teaching and learning, scientific experiment and innovation creation between vast school, teacher, student and create visitor fan, can't develop more stronger artificial intelligence degree of depth learning model as required, also can't develop the problem of more innovation applications.

(II) technical scheme

In order to achieve the above object, the utility model provides a following technical scheme: the machine vision experiment teaching platform based on artificial intelligence comprises a machine box, wherein a mainboard is fixed on the rear surface inside the machine box, a screen is fixed on the front surface of the mainboard, three LED lamps, a camera and a power indicator are sequentially fixed on the front surface of the mainboard above the screen from left to right, a memory module is fixed on the front surface of the mainboard below the screen, a WIFI chip, a storage module and an I2C digital-to-analog converter are sequentially fixed on the front surface of the mainboard below the memory module from left to right, a CPU is fixed on the front surface of the mainboard below the storage module, two keys are fixed on the front surface of the mainboard below the CPU, three LED lamp front ends, the camera front end, the screen front surface and the two key front ends all penetrate through the front surface of the machine box, and a loudspeaker is fixed at the bottom of the mainboard, the quick-witted box lower surface runs through and has seted up a plurality of bloops, the mainboard right side is fixed with MIC interface, TF draw-in groove, IO expansion interface, Type-C interface from the top down in proper order, MIC interface right-hand member TF draw-in groove right-hand member IO expansion interface right-hand member Type-C interface right-hand member all runs through extremely the machine box right side, the mainboard left side is fixed with 24PIN digital video port, 24PIN digital video port left end runs through extremely the machine box left side.

Preferably, the CPU is configured as a dual core 64bit RISC-V/400 MHz.

Preferably, the memory module is an SRAM.

Preferably, the screen is a 2.4-inch TFT screen.

(III) advantageous effects

The utility model provides a machine vision experiment teaching platform based on artificial intelligence possesses following beneficial effect:

the utility model discloses a set up mainboard, the camera, the WIFI chip, the MIC interface, the TF draw-in groove, IO expansion interface, Type-C interface, 24PIN digital video port, the megaphone, CPU for the use rice that experiment teaching platform can be very light thinks neat graphical programming carries out face identification fast, object classification, multiple artificial intelligence experiment development such as speech recognition, IO expansion interface makes the user can develop more and more stronger artificial intelligence degree of depth learning model as required simultaneously, develop more innovation and use.

Drawings

Fig. 1 is a schematic structural view of the present invention;

fig. 2 is a schematic sectional view of the present invention.

In the figure: 1. a case; 2. a main board; 3. a screen; 4. an LED lamp; 5. a camera; 6. a power indicator light; 7. a memory module; 8. a WIFI chip; 9. a storage module; 10. I2C digital-to-analog converter; 11. pressing a key; 12. a loudspeaker; 13. a sound expansion hole; 14. an MIC interface; 15. TF card slot; 16. an IO expansion interface; 17. a Type-C interface; 18. a 24PIN digital video port; 19. a CPU.

Detailed Description

The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.

As shown in fig. 1-2, the utility model provides a technical solution: the machine vision experiment teaching platform based on artificial intelligence comprises a machine box 1, wherein a main board 2 is fixed on the rear surface inside the machine box 1, a screen 3 is fixed on the front surface of the main board 2, three LED lamps 4, a camera 5 and a power indicator 6 are sequentially fixed on the front surface of the main board 2 above the screen 3 from left to right, a memory module 7 is fixed on the front surface of the main board 2 below the screen 3, a WIFI chip 8, a storage module 9 and an I2C digital-to-analog converter 10 are sequentially fixed on the front surface of the main board 2 below the memory module 7 from left to right, a CPU19 is fixed on the front surface of the main board 2 below the storage module 9, two keys 11 are fixed on the front surface of the main board 2 below a CPU19, the front ends of the three LED lamps 4, the front end of the camera 5, the front surface of the screen 3 and the front ends of the two keys 11 penetrate through the front surface of the machine box 1, a loudspeaker 12 is fixed on the bottom of the main board 2, and a plurality of sound expansion holes 13 are formed on the lower surface of the machine box 1, MIC interface 14 is fixed with in proper order on mainboard 2 right side from the top down, TF draw-in groove 15, IO expansion interface 16, Type-C interface 17, MIC interface 14 right-hand member, TF draw-in groove 15 right-hand member, IO expansion interface 16 right-hand member, Type-C interface 17 right-hand member all runs through to quick-witted box 1 right side, mainboard 2 left side is fixed with 24PIN digital video port 18, 24PIN digital video port 18 left end runs through to quick-witted box 1 left side, the device is connected with external power source through Type-C interface 17, power indicator 6 lights after the power is connected, operating personnel can observe that it connects to pierce through quick-witted box 1 light judgement power, be connected with the microphone through MIC interface 14, go in and out TF card TF draw-in groove 15, rethread operating camera 5, button 11, screen 3, parts such as microphone, can very easily use Mixly's graphical programming microthon grammar to carry out face identification fast, And various artificial intelligence experiment developments such as object classification and voice recognition can be carried out, and the system can be connected with external equipment through an IO expansion interface 16, so that development and debugging are facilitated.

Further, the CPU19 is configured as a dual core 64bit RISC-V/400MHz, making the CPU19 faster to compute.

Further, the memory module 7 is an SRAM, so that the data stored in the memory can be constantly maintained as long as the memory is powered on, which is faster and lower in power consumption.

Furthermore, the screen 3 is a 2.4-inch TFT screen, the resolution is 320 × 240, the cost is low, and the image display function can be satisfied.

To sum up, the utility model discloses a work flow: the device passes through Type-C interface 17 and is connected with external power source, power indicator 6 lights after the power is connected, operating personnel can observe and pierce through 1 light of quick-witted box and judge whether the power is connected, be connected with the microphone through MIC interface 14, come in and go out the TF draw-in groove 15 with the TF card, rethread operation camera 5, button 11, screen 3, parts such as microphone, the graphical programming MicroPython grammar that uses Misiqi Mixly that can very easily carries out face identification fast, object classification, multiple artificial intelligence experiment development such as speech recognition, can also be connected with external equipment through IO extended interface 16, convenient development and debugging.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. Machine vision experiment teaching platform based on artificial intelligence, including machine box (1), its characterized in that: case (1) inside rear surface is fixed with mainboard (2), mainboard (2) front surface is fixed with screen (3), mainboard (2) front surface is located screen (3) top is fixed with three LED lamp (4), camera (5), power indicator (6) from a left side to a right side in proper order, mainboard (2) front surface is located screen (3) below is fixed with memory module (7), mainboard (2) front surface is located memory module (7) below is fixed with WIFI chip (8), storage module (9), I2C digital analog converter (10) from a left side to a right side in proper order, mainboard (2) front surface is located storage module (9) below is fixed with CPU (19), mainboard (2) front surface is located CPU (19) below is fixed with two buttons (11), and is three LED lamp (4) front end, The front end of the camera (5), the front surface of the screen (3) and the front ends of the two keys (11) all penetrate through the front surface of the case (1), a loudspeaker (12) is fixed at the bottom of the main board (2), a plurality of sound spreading holes (13) are arranged on the lower surface of the machine box (1) in a penetrating way, an MIC interface (14), a TF card slot (15), an IO expansion interface (16) and a Type-C interface (17) are sequentially fixed on the right side of the main board (2) from top to bottom, the right end of the MIC interface (14), the right end of the TF card slot (15), the right end of the IO expansion interface (16) and the right end of the Type-C interface (17) all penetrate through the right side of the case (1), a 24PIN digital video port (18) is fixed on the left side of the mainboard (2), the left end of the 24PIN digital video port (18) penetrates to the left side of the machine box (1).

2. The artificial intelligence based machine vision experiment teaching platform of claim 1, wherein: the CPU (19) is configured as a dual core 64bit RISC-V/400 MHz.

3. The artificial intelligence based machine vision experiment teaching platform of claim 1, wherein: the memory module (7) is an SRAM static random access memory.

4. The artificial intelligence based machine vision experiment teaching platform of claim 1, wherein: the screen (3) is a 2.4-inch TFT screen.