CN111461137A - Building material image identification and analysis system and method thereof - Google Patents
Building material image identification and analysis system and method thereof Download PDFInfo
- Publication number
- CN111461137A CN111461137A CN201910813389.4A CN201910813389A CN111461137A CN 111461137 A CN111461137 A CN 111461137A CN 201910813389 A CN201910813389 A CN 201910813389A CN 111461137 A CN111461137 A CN 111461137A
- Authority
- CN
- China
- Prior art keywords
- building material
- image
- positioning
- actual size
- sensing module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000004566 building material Substances 0.000 title claims abstract description 162
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000004458 analytical method Methods 0.000 title claims abstract description 12
- 230000003287 optical effect Effects 0.000 claims description 4
- 238000009434 installation Methods 0.000 abstract description 20
- 238000004891 communication Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 239000003086 colorant Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000011521 glass Substances 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000007789 sealing Methods 0.000 description 2
- 235000001008 Leptadenia hastata Nutrition 0.000 description 1
- 244000074209 Leptadenia hastata Species 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/42—Global feature extraction by analysis of the whole pattern, e.g. using frequency domain transformations or autocorrelation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Length Measuring Devices By Optical Means (AREA)
Abstract
A building material image identification and analysis system and method thereof are provided for measuring an actual building material dimension of a building material, the system includes: a shooting unit for shooting the building material to obtain a building material image; an image identification unit for receiving the building material image, obtaining an image feature actual size according to at least one image feature in the building material image, and calculating the actual size of the building material according to the image feature actual size and a proportion of the building material in the building material image; thus, in the process of obtaining the actual size of the building material, the installation space of the building material can be obtained without a size correcting piece.
Description
Technical Field
The present invention relates to image recognition technology, and more particularly to a building material image recognition and analysis system and method.
Background
The space size of the building material to be installed is obtained before the building material is manufactured at present, and then the building material capable of being matched is manufactured according to the space size, but the method of obtaining the space size of the building material at present is to carry out actual measurement by making personnel to a site needing to be installed, but when the installation site is far away, the method of carrying out the site measurement by manpower can derive traffic and manpower cost, and the expense of building material installation is high.
Therefore, in order to overcome the above problems, taiwan patent No. I509213 discloses a method for obtaining the dimension of a door (window) installation space by using a remote image, which mainly uses a dimension corrector disposed at one side of an edge of a building material installation space, and then captures an image including the door (window) installation space and the dimension corrector by using an image capturing device; then transmitting the image to an image measuring system; analyzing the image by the image measuring system to find out an image proportional relation between the door (window) installation space and the size correcting piece, and calculating the actual size of the door (window) installation space according to the image proportional relation and the actual size of the size correcting piece; however, this conventional technique still has the following disadvantages in use.
Firstly, because the prior art needs to put a size calibration piece before obtaining the image, the measurement is often troubled because the proper size calibration piece can not be found.
Secondly, the color of the building material in the image can not be identified by the conventional technology, so that the problem that the color of the manufactured building material is different frequently occurs.
Thirdly, in the conventional technology, only the installation place is marked during shooting, so that the installation place is always wrong.
Disclosure of Invention
The technical scheme adopted by the invention is as follows: a method for identifying and analyzing building material images comprises the following steps: obtaining a building material image, identifying at least one image feature in the building material image, and obtaining an image feature actual size; and obtaining a proportion of the image feature and a building material in the building material image, and calculating the actual size of the building material according to the proportion and the actual size of the image feature.
A building material image identification and analysis system comprises: a shooting unit for shooting a building material to obtain a building material image; an image identification unit receives the building material image, obtains an image feature actual size according to at least one image feature in the building material image, obtains a proportion of the image feature and the building material in the building material image, and calculates the actual size of the building material according to the proportion and the image feature actual size.
The invention has the beneficial effects that: the invention aims to provide a building material installation space which can be obtained without a size correcting piece.
In accordance with the above object, the present invention provides a building material image recognition and analysis system for measuring an actual dimension of a building material, comprising: a shooting unit for shooting the building material to obtain a building material image; an image identification unit for receiving the building material image, obtaining an image feature actual size according to at least one image feature in the building material image, and calculating the actual size of the building material according to the image feature actual size and a proportion of the building material in the building material image; thus, in the process of obtaining the actual size of the building material, the installation space of the building material can be obtained without a size correcting piece.
According to the above object, the present invention provides a method for identifying and analyzing building material images, which comprises the following steps: obtaining a building material image, identifying at least one image feature in the building material image, and obtaining an image feature actual size; and obtaining a proportion of the image feature and a building material in the building material image, and calculating the actual size of the building material according to the proportion and the actual size of the image feature.
The present invention also provides a color recognition module, which is added in the image recognition unit, and the color recognition module can recognize the color of the building material in the building material image at the same time or before and after the image recognition unit recognizes the feature of the building material, and then compare the color with a standard color code stored in the building material database, so as to provide the correct color code data of the building material, thereby avoiding the manufacture of building materials with different colors.
Another objective of the present invention is to provide a positioning coordinate value of a building material installation space, so as to not only accurately obtain the location of the building material installation, but also reduce the probability of the door/window being installed by mistake.
Drawings
FIG. 1 is a schematic diagram of a system according to the present invention.
FIG. 2 is a second schematic diagram of the system of the present invention.
FIG. 3 is a flow chart illustrating the steps of the method of the present invention.
Detailed Description
Referring to fig. 1, a preferred embodiment of a building material image recognition and analysis system according to the present invention mainly includes: a shooting unit (10), an image recognition unit (20) and a positioning unit (50); wherein the shooting unit (10) is used for shooting a building material to obtain a building material image: the image recognition unit (20) receives the building material image, recognizes at least one image feature in the building material image, and obtains an image feature actual size according to the image feature.
In the embodiment, the image recognition unit (20) is provided with a structural feature recognition module (21), the structural feature recognition module (21) is used for recognizing the appearance or structural feature of the building material in the image feature, and the image feature obtained by the recognition can be compared with data stored in a building material database (30) to obtain the actual size of the image feature, then obtain a ratio of the image feature to the building material in the building material image, and calculate the actual size of the building material according to the ratio and the actual size of the image feature; thus, in the process of obtaining the actual size of the building material, the installation space of the building material can be obtained without a size correcting piece.
In the embodiment, the building material database (30) stores the structural characteristics and the dimensions of each model of building materials in domestic and foreign building material industries, the building materials include masonry, glass, ceramic tiles, doors and windows, building boards and the like, and the doors and windows comprise the structural characteristics and the dimensions of an outer frame, an inner sash, a sealing cover, a lock catch and the like, and the dimensions of the inner sash at least comprise the dimensions of the width of an inner sash vertical frame, the groove characteristics on the inner sash vertical frame, the height of an inner sash horizontal frame and the like; a standard color code is further built in the building material database (30), a color identification module (22) is further disposed in the image identification unit (20), and when the image identification unit (20) identifies the building material image, the color identification module (22) can identify the color of the building material in the building material image together or before and after, and then compare the color with the standard color code stored in the building material database (30) to provide the correct color code of the building material, so as to avoid the problem of chromatic aberration of the color of the building material.
Referring to fig. 2, the image recognition unit (20) is further provided with a wireless communication module (23), and the building material database (30) is disposed in a cloud end (70), so that the image recognition unit (20) can obtain the data in the building material database (30) in the cloud end (70) through the wireless communication module (23); furthermore, the wireless communication module (23) can be electrically connected to a positioning unit (50), and the positioning unit (50) can provide positioning coordinate values of the building material at the same time or in front and at the back when identifying the building material image, so as to obtain the correct installation position of the building material, for example, the installation position of the building material in the first floor, the second floor, the third floor, and the like, so as to reduce the probability of misinstallation in the future, and the positioning unit (50) is a bluetooth positioning, a GPS positioning, a Wifi positioning, an RFID positioning, an infrared/laser positioning, a ZigBee positioning, a VWB positioning, and the like, and the positioning unit capable of providing a positioning coordinate value is not limited by the foregoing, and all the positioning units capable of providing a positioning coordinate value belong to the application scope of the present invention.
Referring to fig. 2, the embodiment further includes a light spot projection unit (60), and the light spot projection unit (60) can project a plurality of light spots onto the building material, so that the building material image obtained by the shooting unit (10) includes the plurality of light spots, and the image recognition unit (20) can select the plurality of light spots in the building material image as the image feature for recognition, so as to obtain the actual size of the image feature, and then obtain a ratio of the image feature to the building material in the building material image, and calculate the actual size of the building material according to the ratio and the actual size of the image feature, and in the embodiment, the light spot projection unit (60) is an optical radar (L IDAR; short for light arrival), a laser measuring instrument, a multi-lens sensing module, a structural module, a 3d sensing module, or a TOF sensing module, and the like, but not limited to the foregoing, and any light sensing device or module capable of projecting light spots is an application of the present invention.
As shown in fig. 1 and fig. 2, in the present embodiment, the shooting unit (10), the image recognition unit (20), the building material database (30), the positioning unit (50) and the light spot projection unit (60) can be assembled in a handheld device (100), and the handheld device (100) includes a camera, a camera-equipped smart phone, a camera-equipped smart watch, a laptop computer, a tablet computer, etc., but not limited thereto.
Referring to fig. 3, the flow of the method of the present invention according to the above system is as follows: obtaining a building material image, identifying at least one image feature in the building material image, and obtaining an image feature actual size; obtaining a proportion of the image feature and a building material in the building material image, and calculating the actual size of the building material according to the proportion and the actual size of the image feature; therefore, in the process of obtaining the actual size of the building material, the installation space of the building material can be obtained without a size correcting piece.
Referring to fig. 3, before the building material image is obtained, a plurality of light spots may be projected onto a building material, so that the building material image includes the plurality of light spots, the plurality of light spots in the building material image are used as the image feature to be identified, so as to obtain the actual size of the image feature, and then, when a ratio of the image feature to the building material in the building material image is obtained, the actual size of the building material may be calculated according to the ratio of the image feature actual size to the ratio, and the plurality of light spots are projected by an optical radar (L lidar, abbreviated as lidar), a laser meter, a multi-lens sensing module, a structural light sensing module, a 3d sensing module, or a TOF sensing module, which are all applications of the present invention.
After the building material image is obtained, the image feature can be identified with the building material data in a building material database (30) to obtain the actual size of the image feature, the building material database (30) stores the structural feature and the size of each building material model in domestic and foreign building material industries, the building materials include masonry, glass, tiles, doors and windows, building boards, and the like, and the doors and windows include, for example: the door and window includes the structural features and the dimensions of the outer frame, the inner leaf, the sealing cover and the lock catch, and the dimensions of the inner leaf at least include the width of the inner leaf standing frame, the groove feature on the inner leaf standing frame, the height of the inner leaf horizontal frame, and the like.
Moreover, in the process of identification, the method can also identify the color of the building material in the building material image, and then compare the color with a standard color code stored in the building material database (30) to provide a correct color code, and can also provide a positioning coordinate value of the building material installation space to obtain the correct position of the building material installation to reduce the probability of misloading in the future; the positioning coordinate value is obtained by bluetooth positioning, GPS positioning, Wifi positioning, RFID positioning, infrared/laser positioning, ZigBee positioning, or VWB positioning, but the present invention is not limited thereto, and any positioning technique that can provide a positioning coordinate value is included in the scope of the present invention.
Therefore, the invention has the same effect as the prior art in terms of efficiency, saves labor, measures cost and the like, can overcome the trouble of the prior art without a size correcting piece in the process of obtaining the mounting space of the building materials, is additionally provided with a color identification module and a positioning unit, can provide correct color code data of the building materials to avoid manufacturing building materials with different colors, can accurately obtain the mounting position of the building materials, and has multiple benefits of reducing misassembly and the like.
The scope of the invention is defined by the appended claims, and all changes and modifications that may be made by one skilled in the art without departing from the spirit and scope of the invention are intended to be covered by the appended claims.
Claims (12)
1. A method for identifying and analyzing building material images is characterized by comprising the following steps: obtaining a building material image, identifying at least one image feature in the building material image, and obtaining an image feature actual size; and obtaining a proportion of the image feature and a building material in the building material image, and calculating the actual size of the building material according to the proportion and the actual size of the image feature.
2. The method of claim 1, wherein the method comprises: wherein the color of the building material in the building material image is identified to provide the correct color code of the building material.
3. The method of claim 1, wherein the method comprises: it further includes providing a coordinate value of building material positioning.
4. A method for identifying and analyzing building material images as claimed in claim 3, wherein: wherein the building material positioning coordinate value is provided by one of Bluetooth positioning, GPS positioning, Wifi positioning, RFID positioning, infrared/laser positioning, ZigBee positioning or VWB positioning.
5. The method of claim 1, wherein the method comprises: before the building material image is obtained, a plurality of light spots are projected to a building material, so that the building material image comprises the light spots.
6. The method of claim 5 further comprising the steps of: wherein the plurality of light spots are projected by one of an optical radar, a laser measuring instrument, a multi-lens sensing module, a structure light sensing module, a 3d sensing module or a TOF sensing module.
7. The method of claim 5 further comprising the steps of: the light spots are used as the image features for identification so as to obtain the actual size of the image features.
8. A building material image identification and analysis system is characterized by comprising: a shooting unit for shooting a building material to obtain a building material image; an image identification unit receives the building material image, obtains an image feature actual size according to at least one image feature in the building material image, obtains a proportion of the image feature and the building material in the building material image, and calculates the actual size of the building material according to the proportion and the image feature actual size.
9. A building material image recognition and analysis system as claimed in claim 8, wherein: wherein the image recognition unit can recognize the color of the building material in the building material image to provide the correct color code of the building material.
10. A building material image recognition and analysis system as claimed in claim 8, wherein: the light spot projection unit can project a plurality of light spots onto the building material, so that the building material image acquired by the shooting unit contains the plurality of light spots.
11. A building material image recognition and analysis system as claimed in claim 10, wherein: the light spot projection unit is one of an optical radar instrument, a laser measuring instrument, a multi-lens sensing module, a structure light sensing module, a 3d sensing module and a TOF sensing module.
12. A building material image recognition and analysis system as claimed in claim 8, wherein: the positioning unit can provide a coordinate value for positioning the building material.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW108102182 | 2019-01-18 | ||
| TW108102182 | 2019-01-18 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111461137A true CN111461137A (en) | 2020-07-28 |
Family
ID=71682240
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910813389.4A Pending CN111461137A (en) | 2019-01-18 | 2019-08-30 | Building material image identification and analysis system and method thereof |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN111461137A (en) |
| TW (1) | TWI799587B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130211790A1 (en) * | 2012-02-15 | 2013-08-15 | James Edward Loveland | System and Method for Construction Estimation Using Aerial Images |
| CN103424076A (en) * | 2013-08-20 | 2013-12-04 | 国家电网公司 | Proportion marking scale for digital photo and marking method thereof |
| CN106716462A (en) * | 2014-09-26 | 2017-05-24 | 威士伯采购公司 | System and method for determining coating requirements |
| CN106855946A (en) * | 2016-12-27 | 2017-06-16 | 努比亚技术有限公司 | A kind of image information acquisition method and apparatus |
| CN108170137A (en) * | 2017-12-15 | 2018-06-15 | 珊口（上海）智能科技有限公司 | Mobile robot and its control method and control system |
-
2019
- 2019-05-22 TW TW108117945A patent/TWI799587B/en active
- 2019-08-30 CN CN201910813389.4A patent/CN111461137A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130211790A1 (en) * | 2012-02-15 | 2013-08-15 | James Edward Loveland | System and Method for Construction Estimation Using Aerial Images |
| CN103424076A (en) * | 2013-08-20 | 2013-12-04 | 国家电网公司 | Proportion marking scale for digital photo and marking method thereof |
| CN106716462A (en) * | 2014-09-26 | 2017-05-24 | 威士伯采购公司 | System and method for determining coating requirements |
| CN106855946A (en) * | 2016-12-27 | 2017-06-16 | 努比亚技术有限公司 | A kind of image information acquisition method and apparatus |
| CN108170137A (en) * | 2017-12-15 | 2018-06-15 | 珊口（上海）智能科技有限公司 | Mobile robot and its control method and control system |
Also Published As
| Publication number | Publication date |
|---|---|
| TWI799587B (en) | 2023-04-21 |
| TW202029123A (en) | 2020-08-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20190025544A1 (en) | Imaging apparatus and focus control method | |
| US9304970B2 (en) | Extended fingerprint generation | |
| US20130201365A1 (en) | Crowd-sourced vision and sensor-surveyed mapping | |
| CN103209211A (en) | Meter reading recognizing method, meter self-service reading system and reading method thereof | |
| CN110491060B (en) | Robot, safety monitoring method and device thereof, and storage medium | |
| CN108109132B (en) | Image analysis method and device | |
| CN109484934B (en) | Tracking of maintenance trajectories for elevator systems | |
| CN109917404B (en) | Indoor positioning environment feature point extraction method | |
| EP2511650A1 (en) | Method for capturing a size of an installation space for a door or window | |
| CN108734072B (en) | Multi-source object association method and device | |
| WO2021035660A1 (en) | Building material image recognition and analysis system and method | |
| CN113112415A (en) | Target automatic identification method and device for image measurement of total station | |
| CN116310678A (en) | Fire source identification and positioning method by combining solid-state laser radar with thermal imaging vision | |
| CN115937746A (en) | Smoke and fire event monitoring method and device and storage medium | |
| CN113033266A (en) | Personnel motion trajectory tracking method, device and system and electronic equipment | |
| US8913058B2 (en) | Displaying information associated with an object | |
| CN114370871A (en) | Close coupling optimization method for visible light positioning and laser radar inertial odometer | |
| CN111461137A (en) | Building material image identification and analysis system and method thereof | |
| CN115407355B (en) | Library position map verification method and device and terminal equipment | |
| CN112085691A (en) | Intelligent sensor measuring system | |
| CN115801841A (en) | Internet of things system and method for realizing rapid binding of monitoring instruments by positioning | |
| JP2023160224A (en) | Building material image recognition analysis system and method | |
| US8351657B2 (en) | Method for the viewing of visual information with an electronic device | |
| CN115631169A (en) | Product detection method and device, electronic equipment and storage medium | |
| CN114777772A (en) | Indoor positioning system based on infrared camera and high accuracy IMU |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200728 |
|
| WD01 | Invention patent application deemed withdrawn after publication |