CN205880883U - Three -dimensional object recognition system - Google Patents
Three -dimensional object recognition system Download PDFInfo
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- CN205880883U CN205880883U CN201620522229.6U CN201620522229U CN205880883U CN 205880883 U CN205880883 U CN 205880883U CN 201620522229 U CN201620522229 U CN 201620522229U CN 205880883 U CN205880883 U CN 205880883U
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- target object
- gear
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- rotation platform
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Abstract
The utility model relates to a three -dimensional object recognition system, the on -off device comprises a base, the upper surface of base is provided with rotary platform, the central point of rotary platform lower surface puts the fixed pivot that is provided with, be provided with gear A in the pivot, the meshing of gear A is connected with gear B, gear B sets up on drive arrangement's output shaft, rotary platform's upper surface is provided with load -bearing platform, be provided with matter level sensor between rotary platform and the load -bearing platform, load -bearing platform's upper surface is provided with the target object, the top of target object is provided with image acquisition device A, the left side of target object is provided with image acquisition device B, be connected with the feature extraction device on image acquisition device A and the image acquisition device B, be connected with the analysis device on the feature extraction device, be connected with display device and memory on the analysis device, the analysis device is connected with matter level sensor electricity, it is total, the utility model has the advantages of simple structure, operation convenient to use, matching identification accuracy height.
Description
Technical field
This utility model belongs to Three-dimension object recognition technical field, is specifically related to a kind of Three-dimension object recognition system.
Background technology
General in the application of Three-dimension object recognition technology is to be processed by the target surface of three-dimensional body, extracting
To the characteristic of two dimension and model library carry out contrast and identify, due to three-dimensional body, two-dimensional image information reflection
The most comprehensive, it is impossible to meet information gathering demand and the needs of true reappearance sight that people improve constantly；Therefore it provides it is a kind of
Simple in construction, the Three-dimension object recognition system that easy for operation, match cognization accuracy is high are very important.
Utility model content
The purpose of this utility model is to overcome the deficiency of above-mentioned technology, thus provides a kind of simple in construction, operates with
The Three-dimension object recognition system convenient, match cognization accuracy is high.
The purpose of this utility model is achieved in that a kind of Three-dimension object recognition system, and it includes base, the described end
The upper surface of seat is provided with rotation platform, and the center of described rotation platform lower surface is fixedly installed rotating shaft, described
Being provided with gear A in rotating shaft, described gear A engagement connection has gear B, described gear B to be arranged on the output of driving means
On axle, the upper surface of described rotation platform is provided with carrying platform, is provided with between described rotation platform and carrying platform
Mass sensor, the upper surface of described carrying platform is provided with target object, described target object be provided above figure
As harvester A, the left side of described target object is provided with image collecting device B, described image collecting device A and image
On harvester B, connection has feature deriving means, and described feature deriving means connects computational analysis device, described meter
Connecting on calculation and Analysis device and have display device and memorizer, described rotation platform is provided with speed probe, described turns
Speed sensor is connected with computational analysis device with mass sensor.
Described image collecting device A and image collecting device B is infrared eye.
It is rotatably connected between described rotation platform and base upper surface.
The quantity of described mass sensor no less than 4 and is divided between rotation platform and carrying platform symmetrically and evenly
Cloth.
Described memorizer is nonvolatile memory.
Described base is lifting pedestal.
The beneficial effects of the utility model: this utility model in use, by being positioned at above target position and the figure in left side
As harvester A and image collecting device B gathers the surface data information of target object simultaneously, and the information collected is passed through
Send after feature extraction to computational analysis device, computational analysis device carry out synthesizing mould to the characteristics of image signal received
Intend, to form the 3-D view of target object and to compare with the model image that prestores in memorizer, thus correct
Allot target object, threedimensional model that display device can show target object in real time and the model that prestores mated with it,
During target object image gathers, rotation platform drives target object to rotate in the horizontal direction, so that image acquisition
Device B can carry out complete scanning shoot, meanwhile, the mass sensitivity of carrying platform lower surface to the side of target object
Device can accurately obtain the quality information of target object, and computational analysis device can be as required when contrast coupling target object
Consider the quality information of target object, thus improve the accuracy of target object coupling；Total, this utility model has knot
The advantage that structure is simple, easy for operation, match cognization accuracy is high.
Accompanying drawing explanation
Fig. 1 show the structural representation of this utility model a kind of Three-dimension object recognition system.
In figure: 1, base 2, gear A 3, rotating shaft 4, driving means 5, gear B 6, rotation platform 7, speed probe
8, mass sensor 9, carrying platform 10, target object 11, image collecting device A 12, image collecting device B 13, feature
Extraction element 14, computational analysis device 15, display device 16, memorizer.
Detailed description of the invention
Below in conjunction with the accompanying drawings this utility model is further described explanation.
Embodiment 1
As it is shown in figure 1, a kind of Three-dimension object recognition system, it includes that base 1, the upper surface of described base 1 are provided with
Rotation platform 6, the center of described rotation platform 6 lower surface is fixedly installed rotating shaft 3, described rotating shaft 3 is provided with
Gear A 2, described gear A 2 engages connection has gear B 5, described gear B 5 to be arranged on the output shaft 3 of driving means, institute
The upper surface of the rotation platform 6 stated is provided with carrying platform 9, is provided with quality between described rotation platform 6 and carrying platform 9
Sensor 8, the upper surface of described carrying platform 9 is provided with target object 10, being provided above of described target object 10
Image collecting device A11, the left side of described target object 10 is provided with image collecting device B12, described image collector
Putting connection on A11 and image collecting device B12 and have feature deriving means 13, described feature deriving means 13 connects calculating
Analytical equipment 12, described computational analysis device 12 connects and has display device 15 and memorizer 16, on described rotation platform 6
Being provided with speed probe 7, described speed probe 7 is connected with computational analysis device 14 with mass sensor 8.
This utility model in use, by being positioned at above target position 10 and the image collecting device A11 in left side and image
Harvester B12 gathers the surface data information of target object 10 simultaneously, and the information collected is sent out after feature extraction
Deliver to computational analysis device 14, computational analysis device 14 the characteristics of image signal received is carried out synthesis simulation, to be formed
The 3-D view of target object also compares with the model image that prestores in memorizer 16, thus correctly matches target
Object, threedimensional model that display device 15 can show target object 10 in real time and the model that prestores mated with it, in target
During subject image gathers, rotation platform 6 drives target object 10 to rotate in the horizontal direction, so that image collector
Put B12 and the side of target object 10 can be carried out complete scanning shoot, meanwhile, the quality of carrying platform 9 lower surface
Sensor 8 can accurately obtain the quality information of target object 10, and computational analysis device 14 can when contrast coupling target object
To consider the quality information of target object 10 as required, thus improve the accuracy of target object coupling；Total, this reality
By the advantage that novel there is simple in construction, easy for operation, match cognization accuracy is high.
Embodiment 2
As it is shown in figure 1, a kind of Three-dimension object recognition system, it includes that base 1, the upper surface of described base 1 are provided with
Rotation platform 6, the center of described rotation platform 6 lower surface is fixedly installed rotating shaft 3, described rotating shaft 3 is provided with
Gear A 2, described gear A 2 engages connection has gear B 5, described gear B 5 to be arranged on the output shaft 3 of driving means, institute
The upper surface of the rotation platform 6 stated is provided with carrying platform 9, is provided with quality between described rotation platform 6 and carrying platform 9
Sensor 8, the upper surface of described carrying platform 9 is provided with target object 10, being provided above of described target object 10
Image collecting device A11, the left side of described target object 10 is provided with image collecting device B12, described image collector
Putting connection on A11 and image collecting device B12 and have feature deriving means 13, described feature deriving means 13 connects calculating
Analytical equipment 12, described computational analysis device 12 connects and has display device 15 and memorizer 16, on described rotation platform 6
Being provided with speed probe 7, described speed probe 7 is connected with computational analysis device 14 with mass sensor 8, described figure
As harvester A11 and image collecting device B12 is infrared eye, between described rotation platform 6 and base 1 upper surface
Being rotatably connected, the quantity of described mass sensor 8 is no less than 4 and between rotation platform 6 and carrying platform 9 symmetrically and evenly
Distribution, described memorizer 16 is nonvolatile memory, and described base 1 is lifting pedestal.
This utility model in use, by being positioned at above target position 10 and the image collecting device A11 in left side and image
Harvester B12 gathers the surface data information of target object 10 simultaneously, and the information collected is sent out after feature extraction
Deliver to computational analysis device 14, computational analysis device 14 the characteristics of image signal received is carried out synthesis simulation, to be formed
The 3-D view of target object also compares with the model image that prestores in memorizer 16, thus correctly matches target
Object, threedimensional model that display device 15 can show target object 10 in real time and the model that prestores mated with it, in target
During subject image gathers, rotation platform 6 drives target object 10 to rotate in the horizontal direction, so that image collector
Put B12 and the side of target object 10 can be carried out complete scanning shoot, meanwhile, the quality of carrying platform 9 lower surface
Sensor 8 can accurately obtain the quality information of target object 10, and computational analysis device 14 can when contrast coupling target object
To consider the quality information of target object 10 as required, thus improve the accuracy of target object coupling；Infrared photography
Device imaging clearly, works hidden, simple installation；Base 1 uses liftable structure can facilitate the figure to target object 10
As gathering so that use of the present utility model is more convenient；Total, this utility model have simple in construction, easy for operation,
The advantage that match cognization accuracy is high.
Claims (6)
1. a Three-dimension object recognition system, it includes base, it is characterised in that: the upper surface of described base is provided with rotation
Platform, the center of described rotation platform lower surface is fixedly installed rotating shaft, and described rotating shaft is provided with gear A, institute
The gear A engagement connection stated has gear B, described gear B to be arranged on the output shaft of driving means, described rotation platform
Upper surface is provided with carrying platform, is provided with mass sensor, described carrying between described rotation platform and carrying platform
The upper surface of platform is provided with target object, described target object be provided above image collecting device A, described target
The left side of object is provided with image collecting device B, and on described image collecting device A and image collecting device B, connection has feature
Extraction element, described feature deriving means connects and has computational analysis device, and on described computational analysis device, connection has aobvious
Showing device and memorizer, described rotation platform is provided with speed probe, described speed probe and mass sensor
It is connected with computational analysis device.
A kind of Three-dimension object recognition system the most according to claim 1, it is characterised in that: described image collecting device A
It is infrared eye with image collecting device B.
A kind of Three-dimension object recognition system the most according to claim 1, it is characterised in that: described rotation platform and base
It is rotatably connected between upper surface.
A kind of Three-dimension object recognition system the most according to claim 1, it is characterised in that: the number of described mass sensor
Amount no less than 4 and is distributed between rotation platform and carrying platform symmetrically and evenly.
A kind of Three-dimension object recognition system the most according to claim 1, it is characterised in that: described memorizer is non-volatile
Property memorizer.
A kind of Three-dimension object recognition system the most according to claim 1, it is characterised in that: described base is the lifting end
Seat.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620522229.6U CN205880883U (en) | 2016-06-01 | 2016-06-01 | Three -dimensional object recognition system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620522229.6U CN205880883U (en) | 2016-06-01 | 2016-06-01 | Three -dimensional object recognition system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN205880883U true CN205880883U (en) | 2017-01-11 |
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ID=57689079
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201620522229.6U Expired - Fee Related CN205880883U (en) | 2016-06-01 | 2016-06-01 | Three -dimensional object recognition system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN205880883U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108518560A (en) * | 2018-06-22 | 2018-09-11 | 苏州舍勒智能科技有限公司 | A kind of rotating platform can determine rotation center |
| CN110392199A (en) * | 2018-04-18 | 2019-10-29 | 北京德馨同创科技发展有限责任公司 | Image capturing system and method |
| CN111579520A (en) * | 2020-03-18 | 2020-08-25 | 浙江省平湖技师学院 | Workpiece material identification device and identification method thereof |
-
2016
- 2016-06-01 CN CN201620522229.6U patent/CN205880883U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110392199A (en) * | 2018-04-18 | 2019-10-29 | 北京德馨同创科技发展有限责任公司 | Image capturing system and method |
| CN108518560A (en) * | 2018-06-22 | 2018-09-11 | 苏州舍勒智能科技有限公司 | A kind of rotating platform can determine rotation center |
| CN111579520A (en) * | 2020-03-18 | 2020-08-25 | 浙江省平湖技师学院 | Workpiece material identification device and identification method thereof |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20171107 Address after: Intersection of Industrial Road and Garden Street in Xinmi industrial agglomeration area, Henan, 452370 Patentee after: Henan cool three dimensional Technology Co., Ltd. Address before: 450061, 1, Xiao Zhuang village, eighteen Li Town, Guan City, Henan, Zhengzhou Patentee before: Zhengzhou Ku Pai Electronics Equipment Co., Ltd |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20170111 Termination date: 20190601 |