Processing Apparatus with Vision-Based Measurement
20170322537 · 2017-11-09
Inventors
- PO CHENG SU (Chiayi County, TW)
- Hsin Hong Hou (Chiayi County, TW)
- Fan Tien Cheng (Chiayi County, TW)
- Haw Ching Yang (Chiayi County, TW)
- Hao Tieng (Chiayi County, TW)
Cpc classification
G05B19/401
PHYSICS
Y02P90/02
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
G05B2219/37561
PHYSICS
International classification
G05B19/401
PHYSICS
Abstract
A processing apparatus with vision-based measurement includes a central control unit and a workpiece transporting unit, a vision-based measurement unit, a processing quality prediction unit, and a processing unit that are respectively connected to the central control unit electrically. The workpiece transporting unit is controlled by the central control unit to transport the workpiece to the vision-based measurement unit to be measured. The data obtained by the vision-based measurement unit from measuring the workpiece is provided to the processing quality prediction unit for conducting quality prediction. The processing quality prediction unit implements a virtual processing quality prediction method to establish a quality prediction model, wherein the workpiece transporting unit is utilized to assist the processes of establishing or modifying the model. The vision-based measurement unit can optically take photograph of the workpiece rapidly and convert it into a dimension data so as to facilitate the processing device to enhance the measuring efficiency.
Claims
1. A processing apparatus with vision-based measurement for at least a workpiece, comprising: a central control unit; and a workpiece transporting unit, a vision-based measurement unit, a processing quality prediction unit, and a processing unit which are respectively connected to said central control unit electrically, wherein said workpiece transporting unit is controlled by said central control unit for transporting the workpiece to said vision-based measurement unit for being measured, wherein data obtained by said vision-based measurement unit from measuring the workpiece is provided to said processing quality prediction unit for conducting quality prediction, wherein said processing quality prediction unit implements a virtual processing quality prediction method to establish a quality prediction model, so as to predict the processing quality of the workpiece and to generate processing path for said processing unit to process the workpiece.
2. The processing apparatus with vision-based measurement, as recited in claim 1, wherein said workpiece transporting unit is a robot arm.
3. The processing apparatus with vision-based measurement, as recited in claim 1, wherein said vision-based measurement unit comprises an industrial camera, a visual light source unit and a computing unit, wherein said workpiece transporting unit transports the workpiece into an illumination scope of said visual light source unit, wherein said industrial camera is utilized to take photograph of the workpiece so as to obtain one or more captured images thereof, wherein said computing unit is then utilized to calculate the dimension of the workpiece.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
[0008]
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT
[0009] The following description is disclosed to enable any person skilled in the art to make and use the present invention. Preferred embodiments are provided in the following description only as examples and modifications will be apparent to those skilled in the art. The general principles defined in the following description would be applied to other embodiments, alternatives, modifications, equivalents, and applications without departing from the spirit and scope of the present invention.
[0010] Referring to
[0011] The processing quality prediction unit 5 utilizes the technology disclosed in Taiwan Pat. No. TWI481978B, entitled “Method for predicting machining quality of machine tool.” It mainly applies computer-aided design (CAD) to produce the outline, dimensions, and tolerance of the workpiece and uses Computer Aided Manufacturing (CAM) to generate processing path based on the above dimensions and tolerance as well as the characteristics of the processing unit 6. Also, when the processing quality prediction unit 5 establishes the quality prediction model, at least a product accuracy category has to be assigned. The product accuracy category comprises roughness and/or dimension deviation, and etc. The dimension deviation comprises straightness, angularity, perpendicularity, parallelism, and/or roundness, etc. The product accuracy category is associated with the processing path so as to provide a plurality of relevances between the product accuracy category and the processing path. Then, the processing unit 6 will be utilized to process multiple workpieces according to the processing path to produce workpiece samples and to collect multiple sets of sample detection information of the multiple workpiece samples that relate to the processing path during the processing period. After the operation of sampling, it utilizes algorithm to control the noise of the detection information and convert the detection information of workpiece sample into sample characteristic data in correspondence with characteristic format. After the processing of workpiece sample is finished, the vision-based measurement unit 4 is utilized to measure the product accuracy category(ies) of the workpiece sample so as to obtain a set of quality sample data (value of accuracy). Then the quality sample data and the characteristic data of the workpiece sample are utilized to predict the interrelation between the algorithm and processing path and the product accuracy category, in order to build a prediction model for the product accuracy category. In other words, the characteristic data, quality sample data, and accuracy of workpiece that are obtained when the processing unit 6 processed the workpiece sample are utilized to form a prediction model. In short, the processing quality prediction unit 5 generates processing path for the workpiece based on the designated dimensions, tolerance, and parameters of the workpiece to be processed, and virtually predict the processing quality of the workpiece.
[0012] During the process that the processing quality prediction unit 5 is establishing or modifying the prediction model, with the assistance of the workpiece handling unit 3, the industrial camera of the vision-based measurement unit 4 rapidly takes optical photographs of the workpiece within the illumination scope of the visual light source unit and converts the captured images into dimension information, so as to facilitate the processing device 1 to enhance the measuring efficiency.
[0013] One skilled in the art will understand that the embodiment of the present invention as shown in the drawings and described above is exemplary only and not intended to be limiting.
[0014] It will thus be seen that the objects of the present invention have been fully and effectively accomplished. The embodiments have been shown and described for the purposes of illustrating the functional and structural principles of the present invention and is subject to change without departure from such principles. Therefore, this invention includes all modifications encompassed within the spirit and scope of the following claims.