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Sensors in Flexible Manufacturing Systems
                          consideration is selecting the optimum resolution for the task to be   383
                          executed. There is a tendency to assume that the higher the resolu-
                          tion, the greater the application range for the system. However, con-
                          siderable success has been achieved with a resolution as low as 50 ×
                          50 picture elements. With serial processing architectures, this resolu-
                          tion will generate sufficient gray-scale data to test the ingenuity of
                          image processing algorithms. Should its processing time fall below
                          0.5 s, an algorithm can be used for robots associated with handling.
                          However, in welding applications, the image processing time must
                          be faster.


                     8.3  Robot Control through Vision Sensors
                          An increasing number of manufacturing processes rely on machine-
                          vision sensors for automation. The tasks for which vision sensors are
                          used vary widely in scope and difficulty. Robotic applications in
                          which vision sensing has been used successfully include inspection,
                          alignment, object identification, and character recognition.
                             Human vision involves transformation, analysis, and interpreta-
                          tion of images. Machine-vision sensing can be explained in terms of
                          the same functions: image transformation, image analysis, and image
                          interpretation.

                          8.3.1 Image Transformation
                          Image transformation involves acquiring camera images and con-
                          verting them to electrical signals that can be used by a vision com-
                          puter (Fig. 8.1). After a camera image is transformed into an electronic
                          (digitized) image, it can be analyzed to extract useful information in


                         Preprocessing        Image         Microcomputer    Data
                                              Memory                        Output
                                   Envelope
                                  Discriminator                Angular
                                 A/D Converter                 Position
                                  64 steps                     Calculator   Digital Input/
                                Background                      (SBC)        Output
                                 Memory                                   Serial Interface
                                                                             for PC
                               Digital Edge
                                Detector  Binary  Run-
                                                 Length         CPU        Serial
                               Histogram  Image  Store          MC 210     Interface
                                                                (8085)
                              Threshold
                             Comparator
                                                 Bin. Pixel
                                                  Memory
                                                Arithmetic
                                                 Logic
                                                 Unit
                     FIGURE 8.1  Image transformation involves the acquisition and conversion of camera
                     images to electrical signals that can be used by a vision controlled CPU.
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