TWI673405B - Leather testing equipment - Google Patents
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- 239000010985 leather Substances 0.000 title claims abstract description 174
- 238000012360 testing method Methods 0.000 title claims description 10
- 238000001514 detection method Methods 0.000 claims abstract description 47
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- 238000013480 data collection Methods 0.000 claims abstract description 35
- 238000007689 inspection Methods 0.000 claims abstract description 12
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- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000011161 development Methods 0.000 description 1
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- 230000001678 irradiating effect Effects 0.000 description 1
- 238000004898 kneading Methods 0.000 description 1
- 239000002649 leather substitute Substances 0.000 description 1
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- G—PHYSICS
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
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- G01N33/447—Leather
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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Abstract
一種皮革檢測設備，包含一皮革檢測平台與一皮革數據收集裝置，皮革檢測平台設置一皮革原材料，皮革數據收集裝置設於皮革檢測平台，皮革數據收集裝置偵測皮革原材料取得相對應的數位化皮革數據，有利於透過人工智能模型演算與判斷出皮革原材料的表面狀態，達成大幅減少皮革檢驗時間與提高生產效率，同時實現皮革製品的自動化生產流程等技術功效。A leather detection device includes a leather detection platform and a leather data collection device. The leather detection platform is provided with a leather raw material. The leather data collection device is provided on the leather detection platform. The leather data collection device detects the leather raw material to obtain a corresponding digitized leather. The data is conducive to calculating and judging the surface state of leather raw materials through artificial intelligence models, to achieve a significant reduction in leather inspection time and improve production efficiency, while achieving technical effects such as automated production processes for leather products.
Description
本發明與皮革有關，特別是指皮革檢測設備。The present invention relates to leather, and more particularly to leather testing equipment.
皮革可運用於各式各樣的民生用品，例如服飾、皮包、皮箱或裝飾配件等等，都是經常會使用到的日常物品。而且由於天然皮革(又稱真皮)具有良好觸感與經久耐用的特性，高價位與高價值的產品更是常常使用天然皮革作為主要材料。Leather can be used in a variety of people's livelihood products, such as clothing, bags, suitcases or decorative accessories, etc., are daily items that are often used. And because natural leather (also known as genuine leather) has good touch and durability characteristics, high-priced and high-value products often use natural leather as the main material.
天然皮革容易受到原始來源環境或製造過程等等因素，例如動物受傷、長黴，病蟲害、破裂，或運輸擦碰而讓皮革表面或是內部組織產生損傷與缺陷。為了讓皮革類製品在生產之前能夠事先檢驗出前述缺陷，目前大多是在皮革仍呈原材料狀態的時候，先透過人力以目測或手檢的方式詳細檢查皮革，然後在皮革表面標示出發現到前述缺陷的部位，再依據製成的產品需求特性將標示完成的皮革裁切分類出可供後續生產的可用皮革部件。Natural leather is susceptible to factors such as the original source environment or manufacturing process, such as animal injuries, mold growth, pests and diseases, cracks, or transportation friction that causes damage and defects to the leather surface or internal tissues. In order to enable leather products to detect the aforementioned defects in advance before production, most of the time when the leather is still in the raw material state, the leather is first inspected in detail by manual inspection or manual inspection, and then the leather surface is marked to find the aforementioned defects. The defective parts are then classified according to the required characteristics of the finished product and the finished leather is cut to classify usable leather parts for subsequent production.
然而，前述利用人力目測或手檢的檢驗方式不但耗費時間，而且必須要有充足經驗的檢驗人員才能判斷出缺陷，更是不利於自動化生產流程。再者，檢驗人員的訓練與養成過程較長與困難，也因為判斷方式是依賴較為主觀的目視或手感檢視，容易受到個人情緒、環境或時空等因素影響，無法用具有一致性與通用的標準進行皮革品質檢測。However, the aforementioned inspection methods using human visual inspection or manual inspection are not only time consuming, but also require inspectors with sufficient experience to determine defects, which is not conducive to automated production processes. In addition, the training and development process of inspectors is long and difficult, and because the judgment method relies on more subjective visual or feel inspections, it is easily affected by factors such as personal emotions, environment or time and space, and it is not possible to use consistent and universal standards. Carry out leather quality inspection.
因此，本發明之主要目的乃在於提供的皮革檢測設備，可大幅減少皮革檢驗時間與提高生產效率，同時實現皮革製品的自動化生產流程。Therefore, the main object of the present invention is to provide a leather detection device, which can greatly reduce the time of leather inspection and improve production efficiency, and at the same time realize the automated production process of leather products.
為了達成上述目的，本發明所提供的皮革檢測設備包含一皮革檢測平台與一皮革數據收集裝置，該皮革檢測平台設置一皮革原材料，該皮革數據收集裝置設於該皮革檢測平台，該皮革數據收集裝置偵測該皮革原材料取得相對應的數位化皮革數據。In order to achieve the above object, the leather detection device provided by the present invention includes a leather detection platform and a leather data collection device, the leather detection platform is provided with a leather raw material, the leather data collection device is provided on the leather detection platform, and the leather data collection The device detects the leather raw material to obtain corresponding digitized leather data.
更佳地，該皮革數據收集裝置包括至少一檢知組件偵測該皮革原材料。More preferably, the leather data collection device includes at least one detection component to detect the leather raw material.
更佳地，該至少一檢知組件是利用反射或透射方式偵測該皮革原材料。More preferably, the at least one detection component detects the leather raw material by means of reflection or transmission.
更佳地，該皮革數據收集裝置包括多數檢知組件，各該檢知組件平均分佈地設於該皮革檢測平台對應於該皮革原材料的位置，用以取得該皮革原材料於不同位置的局部皮革數據。More preferably, the leather data collection device includes a plurality of detection components, each of which is evenly distributed at the position of the leather detection platform corresponding to the leather raw material to obtain local leather data of the leather raw material at different positions .
更佳地，各該檢知組件取得的局部皮革數據利用一圖像處理模組整合成該皮革原材料的皮革數據。More preferably, the local leather data obtained by each of the detection components is integrated into leather data of the leather raw material using an image processing module.
更佳地，該數位化皮革數據透過一人工智能模組演算與判斷出該皮革原材料的特性狀態。More preferably, the digitalized leather data calculates and judges the characteristic state of the leather raw material through an artificial intelligence module.
更佳地，該皮革檢測平台設一顯示組件用以顯示出該皮革數據收集裝置取得的皮革數據。More preferably, the leather detection platform is provided with a display component for displaying leather data obtained by the leather data collection device.
更佳地，該皮革檢測平台設一控制裝置，該控制裝置開啟與關閉該皮革數據收集裝置的作動狀態。More preferably, the leather detection platform is provided with a control device, and the control device turns on and off the operating state of the leather data collection device.
有關本發明所提供的詳細特點、構成要件或應用方式將於後續實施方式詳細說明中予以描述。然而，在本發明領域中具有通常知識者應能瞭解，該等詳細說明以及實施本發明所列舉的特定實施例，僅係用於說明本發明，並非用以限制本發明之專利申請範圍。The detailed features, constituent elements or application methods provided by the present invention will be described in the detailed description of the subsequent embodiments. However, those having ordinary knowledge in the field of the present invention should understand that the detailed descriptions and the specific embodiments listed in the implementation of the present invention are only used to illustrate the present invention, and are not intended to limit the scope of the patent application of the present invention.
首先要說明的是，本發明所提供的皮革檢測設備可廣泛應用於檢測各種不同類型或表面處理的天然皮革或合成皮革，本領域技術人員應能瞭解本實施方式中有關於組成構件、說明用語都屬於不限制特定元件或技術領域的上位式描述，而且數量用語“一”是包含了一個與一個以上的複數元件數量。First of all, the leather detection equipment provided by the present invention can be widely used to detect various different types or surface treatments of natural leather or synthetic leather. Those skilled in the art should be able to understand the constituent components and explanatory terms in this embodiment. All belong to a higher-level description that does not limit a specific element or technical field, and the number term "a" includes the number of one and more than one plural element.
請先參閱第1圖所示，本發明所提供的皮革檢測設備主要包含一皮革檢測平台12與一皮革數據收集裝置14，皮革檢測平台12用以提供一皮革原材料10設置呈平坦狀。Please refer to FIG. 1 first. The leather detection device provided by the present invention mainly includes a leather detection platform 12 and a leather data collection device 14. The leather detection platform 12 is used to provide a leather raw material 10 which is arranged in a flat shape.
皮革數據收集裝置14設於鄰近皮革檢測平台12的位置，於本較佳實施例的皮革數據收集裝置14是設於皮革檢測平台12上方，用以取得皮革原材料10的皮革數位資料。The leather data collection device 14 is disposed near the leather detection platform 12. The leather data collection device 14 in the preferred embodiment is disposed above the leather detection platform 12 to obtain leather digital data of the leather raw material 10.
於本較佳實施例的皮革原材料10以天然牛皮作為舉例，當然也可應用於其他種類的皮革，本較佳實施例的皮革數據收集裝置14包括可擷取皮革原材料10表面影像的至少一光學式檢知組件作為舉例，皮革數據收集裝置14拍攝皮革原材料10的表面取得反射自表面的數位影像形成出皮革數位資料，藉以判斷皮革原材料10的邊緣與表面瑕疵狀態。The leather raw material 10 in the preferred embodiment is exemplified by natural cowhide. Of course, it can also be applied to other types of leather. The leather data collection device 14 of the preferred embodiment includes at least one optical device capable of capturing an image of the surface of the leather raw material 10. As an example, the leather data collection device 14 photographs the surface of the leather raw material 10 to obtain a digital image reflected from the surface to form leather digital data, so as to judge the edge and surface defect state of the leather raw material 10.
如第1圖至第3圖所舉例的皮革數據收集裝置14包括多數呈陣列狀平均分佈擺設在皮革原材料10上方的檢知組件16，各檢知組件16分別取得皮革原材料10於不同位置的局部皮革數位資料，檢知組件16可以是數位攝影機等類似功能的檢知組件。如第1圖所示，皮革數據收集裝置14可另外包括光源17，光源17朝皮革原材料10投射出光線，讓檢知組件16可取得完整且清晰的數位影像皮革數據。光源17可以是點光源或是陣列式光源，而且為了配合不同種類、不同材質處理方式，或者是不同表面紋路的皮革原材料10，光源17還可依據不同皮革原材料10的材質特性投射出不同的照明特性，亦即光線的強度、照度，或亮度等都可配合皮革原材料10而調整。The leather data collection device 14 as illustrated in FIGS. 1 to 3 includes a plurality of detection modules 16 arranged in an array and evenly arranged above the leather raw material 10, and each detection module 16 respectively obtains parts of the leather raw material 10 at different positions. Leather digital data, the detection component 16 may be a detection component with a similar function such as a digital camera. As shown in FIG. 1, the leather data collection device 14 may further include a light source 17 that projects light toward the leather material 10 so that the detection component 16 can obtain complete and clear digital image leather data. The light source 17 can be a point light source or an array light source, and in order to match different types, different materials, or leather materials 10 with different surface textures, the light source 17 can also project different lighting according to the material characteristics of different leather materials 10. The characteristics, that is, the intensity, illuminance, or brightness of light can be adjusted in accordance with the leather raw material 10.
檢測平台12可設一顯示組件30與一控制裝置40，顯示組件30可用以顯示出皮革數據收集裝置14取得的皮革影像，控制裝置40包含操作件42與掃描件44，操作件42用以開啟與關閉皮革數據收集裝置14的作動狀態，掃描件42可對皮革原材料10產生出製程紀錄。The detection platform 12 may be provided with a display component 30 and a control device 40. The display component 30 may be used to display the leather image obtained by the leather data collection device 14. The control device 40 includes an operating member 42 and a scanning member 44. The operating member 42 is used for opening. With the operating state of the leather data collection device 14 closed, the scanner 42 can generate a process record for the leather raw material 10.
如第3圖及第4圖所示，當皮革原材料10呈平坦狀放置在皮革檢測平台12，並且由皮革檢測平台12上方的皮革數據收集裝置14取得數位影像的皮革數據之後，皮革數據收集裝置14自皮革原材料10所取得的皮革數據可進一步透過圖像處理模組18將皮革數據收集裝置14取得的局部皮革數位資料拼接整合成完整與高解析度的皮革數位資料。As shown in Figs. 3 and 4, when the leather raw material 10 is placed flat on the leather detection platform 12, and the leather data of the digital image is obtained by the leather data collection device 14 above the leather detection platform 12, the leather data collection device 14 The leather data obtained from the leather raw material 10 can be further stitched and integrated into a complete and high-resolution leather digital data by stitching and integrating the local leather digital data obtained by the leather data collection device 14 through the image processing module 18.
完整的皮革數位資料也可用於透過一人工智能模組20演算與判斷出皮革原材料10的表面狀態，於本較佳實施例的人工智能模組20(Artificial Intelligence Model)是以深度學習模型(Deep Learning Model)作為舉例。皮革數位資料透過人工智能模組20判斷出皮革原材料10的表面狀態之後，即可用於配合後續的皮革製品生產流程。The complete leather digital data can also be used to calculate and judge the surface state of the leather raw material 10 through an artificial intelligence module 20. In the preferred embodiment, the artificial intelligence module 20 (Artificial Intelligence Model) is a deep learning model (Deep Learning Model) as an example. After the leather digital data determines the surface state of the leather raw material 10 through the artificial intelligence module 20, it can be used to cooperate with the subsequent leather product production process.
透過前述本發明的組成構件，由於皮革數據收集裝置利用檢知組件全面性且完整的擷取皮革原材料表面的數位影像，讓皮革特性數位化，有利於接下來使用具有深度學習模型的人工智能模組判斷皮革的特性，達成大幅減少皮革檢驗時間的發明目的。而且透過相同的檢測設備就能不需要考慮檢測環境、時間或人力因素快速完成檢測，建立具有一致性且通用的皮革品質檢驗標準。Through the aforementioned components of the present invention, since the leather data collection device uses the detection component to comprehensively and completely capture the digital image of the surface of the leather raw material, the leather characteristics are digitized, which is beneficial to the subsequent use of artificial intelligence models with deep learning models. The group judges the characteristics of the leather and achieves the purpose of the invention, which greatly reduces the inspection time of the leather. And through the same testing equipment, it is possible to quickly complete the test without considering the testing environment, time or human factors, and establish a consistent and universal leather quality inspection standard.
值得一提的是，上述皮革數據收集裝置也可為利用透射方式或以機械力對皮革原材料產生揉折效果的裝置取得皮革原材料的內部組織或材質狀態，例如藉由X光裝置朝皮革原材料照射X光，即可經由X光穿射過皮革原材料之後取得X光的訊號變化狀態，用以得知皮革原材料的內部組織等特性資料。It is worth mentioning that the above leather data collection device can also obtain the internal structure or material state of the leather raw material by using a transmission method or a device that produces a kneading effect on the leather raw material, for example, by irradiating the leather raw material with an X-ray device X-ray, that is, the X-ray signal change state can be obtained after passing through the leather raw material through X-ray, so as to know the characteristic data such as the internal organization of the leather raw material.
或者如第5圖所示，皮革數據收集裝置14也能夠在皮革檢測平台12搭配隨著輸送帶13移動的皮革原材料10逐行掃描皮革表面而形成皮革數據，更可提昇整體檢測及生產效率。Alternatively, as shown in FIG. 5, the leather data collection device 14 can also form leather data on the leather detection platform 12 by scanning the leather surface line by line with the leather raw material 10 moving with the conveyer belt 13, which can further improve the overall detection and production efficiency.
10‧‧‧皮革原材料 10‧‧‧Leather Raw Materials
12‧‧‧皮革檢測平台 12‧‧‧Leather Inspection Platform
13‧‧‧輸送帶 13‧‧‧ conveyor belt
14‧‧‧皮革數據收集裝置 14‧‧‧Leather data collection device
16‧‧‧檢知組件 16‧‧‧Checking components
18‧‧‧圖像處理模組 18‧‧‧Image Processing Module
20‧‧‧人工智能模組 20‧‧‧ Artificial Intelligence Module
30‧‧‧顯示組件 30‧‧‧Display
40‧‧‧控制裝置 40‧‧‧control device
42‧‧‧操作件 42‧‧‧operating parts
44‧‧‧掃描件44‧‧‧Scan
第1圖為本發明一較佳實施例的立體圖。 第2圖為本發明一較佳實施例的示意圖，主要顯示出皮革檢測平台。 第3圖類同於第2圖，主要顯示出皮革原材料設置於皮革檢測平台。 第4圖為本發明一較佳實施例的架構圖。 第5圖本發明一較佳實施例的示意圖，主要顯示出皮革數據收集裝置的另一實施態樣。FIG. 1 is a perspective view of a preferred embodiment of the present invention. FIG. 2 is a schematic diagram of a preferred embodiment of the present invention, which mainly shows a leather detection platform. Fig. 3 is similar to Fig. 2 and shows that the leather raw material is set on the leather detection platform. FIG. 4 is a structural diagram of a preferred embodiment of the present invention. FIG. 5 is a schematic diagram of a preferred embodiment of the present invention, which mainly shows another embodiment of the leather data collection device.
Claims (8)
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP18197561.6A EP3594682A1 (en) | 2018-07-12 | 2018-09-28 | Leather inspection equipment |
| PH12018000459A PH12018000459A1 (en) | 2018-07-12 | 2018-12-19 | Artificial intelligence-based leather inspection method and leather inspection equipment, and leather product production method |
| KR2020180005971U KR20200000312U (en) | 2018-07-12 | 2018-12-20 | Leather inspection equipment |
| JP2018242078A JP2020012808A (en) | 2018-07-12 | 2018-12-26 | Detection method of leather by artificial intelligence, leather detection equipment, and manufacturing method of leather product |
| JP2018005040U JP3220455U (en) | 2018-07-12 | 2018-12-26 | Leather detector |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW107124163 | 2018-07-12 | ||
| CN107124163 | 2018-07-12 | ||
| TW107124163 | 2018-07-12 |
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| TWI673405B true TWI673405B (en) | 2019-10-01 |
| TW202006214A TW202006214A (en) | 2020-02-01 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| TW107132718A TWI673405B (en) | 2018-07-12 | 2018-09-18 | Leather testing equipment |
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|---|---|
| KR (1) | KR20200000312U (en) |
| CN (1) | CN110715928A (en) |
| TW (1) | TWI673405B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021142603A1 (en) * | 2020-01-14 | 2021-07-22 | 卓峰智慧生态有限公司 | Leather detection device |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102166456B1 (en) * | 2020-08-28 | 2020-10-15 | 주식회사 재현이노텍 | Leather Inspection System using Deep Learning Model |
| KR102336110B1 (en) * | 2020-08-28 | 2021-12-06 | 박재완 | Method for fine defects Inspection of Leather using Deep Learning Model |
| TWI788175B (en) * | 2022-01-03 | 2022-12-21 | 逢甲大學 | Leather defect detection system |
| CN117900142A (en) * | 2023-02-06 | 2024-04-19 | 南京聚凡通物流科技有限公司 | Logistics management device with classification function |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204789352U (en) * | 2015-07-22 | 2015-11-18 | 深圳市赛拓工控技术有限公司 | Leather texture detection device |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2323930B (en) * | 1997-03-21 | 2001-08-29 | Univ Hull | Testing apparatus |
| AT509382B1 (en) * | 2010-01-18 | 2011-12-15 | Wollsdorf Leder Schmidt & Co Gmbh | TEST EQUIPMENT FOR DETERMINING THE QUALITY OF LEATHER |
| CN205720017U (en) * | 2016-04-06 | 2016-11-23 | 上海陨臻视觉科技有限公司 | Leather detects cutting integration machine automatically |
| CN107123114A (en) * | 2017-04-21 | 2017-09-01 | 佛山市南海区广工大数控装备协同创新研究院 | A kind of cloth defect inspection method and device based on machine learning |
| CN207210457U (en) * | 2017-09-01 | 2018-04-10 | 新百丽鞋业(深圳)有限公司 | A kind of leather detection cuts sorting integration apparatus |
| CN107692404A (en) * | 2017-10-09 | 2018-02-16 | 安徽嘉盛鞋业有限公司 | A kind of shoe upper pattern printing machine |
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2018
- 2018-07-24 CN CN201810822487.XA patent/CN110715928A/en active Pending
- 2018-09-18 TW TW107132718A patent/TWI673405B/en active
- 2018-12-20 KR KR2020180005971U patent/KR20200000312U/en not_active Application Discontinuation
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204789352U (en) * | 2015-07-22 | 2015-11-18 | 深圳市赛拓工控技术有限公司 | Leather texture detection device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2021142603A1 (en) * | 2020-01-14 | 2021-07-22 | 卓峰智慧生态有限公司 | Leather detection device |
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| Publication number | Publication date |
|---|---|
| KR20200000312U (en) | 2020-02-06 |
| CN110715928A (en) | 2020-01-21 |
| TW202006214A (en) | 2020-02-01 |
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