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< [Intelligent Manufacturing Technology] 3.Machine Vision Application Technology
Course Introduction_1.mp4
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1.1 Task 1 Fundamentals of Machine Vision_1.mp4
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1.2 Task 2 Types and Performance Parameters of Industrial Cameras_1.mp4
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1.3 Task 3 Types and Performance Parameters of Industrial Lenses_1.mp4
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1.4 Task 4 Types and Performance Parameters of Industrial Light Sources_1.mp4
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1.5.1 Task 5 Introduction to the Machine Vision Experimental Teaching Platform_1.mp4
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1.5.2 Experiment 1 Hardware Installation_1.mp4
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2.1.1 Task 1 Application of MV Viewer Software (Camera Driver Software)_1.mp4
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2.1.2 Experiment 1 Use of MV Viewer Software_1.mp4
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2.2.1 Task 2 Application of KImage Software_1.mp4
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2.2.2 Experiment 2 Use of KImage Software_1.mp4
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2.3.1 Task 3 Principles of Soybean Counting_1.mp4
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2.3.2 Experiment 3 Soybean Counting_1.mp4
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3.1.1 Task 1 Principles of XY Calibration_1.mp4
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3.1.2 Experiment 1 XY Calibration_1.mp4
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3.2.1 Task 2 Gears Measurement_1.mp4
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3.2.2 Experiment 2 Measurement of Glue Trajectories_1.mp4
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3.3.1 Task 3 Principles of Mechanical Parts Measurement_1.mp4
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3.3.2 Experiment 3 Mechanical Parts Measurement_1.mp4
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4.1.1 Task 1 Basic Principles of Defect Detection_1.mp4
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4.2.1 Experiment 2 Print Inspection_1.mp4
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5.1.1 Task 1 Principle of Color Recognition_1.mp4
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5.1.2 Experiment 1 Color Recognition_1.mp4
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5.2.1 Task 2 Principles of QR Code and Barcode Recognition_1.mp4
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5.2.2 Experiment 2 QR Code and Barcode Recognition_1.mp4
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5.2.3 Experiment 3 Liquid Test Tube Recognition_1.mp4
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6.1.1 Task 1 Principle of PCB Image Stitching_1.mp4
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6.1.2 Experiment 1 PCB Image Stitching_1.mp4
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7.1.1 Task 1 Principles of N-Point Calibration_1.mp4
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7.1.2 Experiment 1 N-Point Calibration_1.mp4
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7.2.1 Task 2 Principles of Tangram Recognition and Puzzle Assembly_1.mp4
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7.2.2 Experiment 2 Tangram Sorting and Puzzle Assembly_1.mp4
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