JUTZE AOI Automatic Optical Inspection Machine | JHIMS Teaching скачать в хорошем качестве

JUTZE AOI Automatic Optical Inspection Machine | JHIMS Teaching

JUTZE AOI Automatic Optical Inspection Machine | JHIMS Teaching Part 4 https://www.jhims.com/en_service/en_s... Summary of JUTZE AOI PCB Inspection Machine Tutorial Subtitles The provided subtitle file is a transcript from a video tutorial introducing the programming and operation of the JUTZE AOI (Automated Optical Inspection) machine, specifically for inspecting resistors on a Printed Circuit Board (PCB). The tutorial focuses on setting up the machine to detect placement offsets and soldering defects in resistors. Below is a comprehensive summary of the key content covered in the subtitles: 1. Introduction to Programming Resistors The video begins with a greeting and an introduction to programming resistors on the JUTZE AOI machine. The presenter demonstrates accessing resistor settings by double-clicking on a resistor, revealing coordinate information (x, y, and angle) and reference marks (MARK1 and MARK2) used for alignment. 2. Component Types and Selection Various component types are listed, including resistors, capacitors, transistors, SOP, QFN, LEDs, and connectors. The presenter emphasizes selecting the correct component type (e.g., choosing "resistor" for a resistor) to ensure accurate inspection. 3. Field of View (FOV) and Component Library The inspection area for each component is referred to as the "window" or "FOV" (Field of View). The presenter copies the resistor’s component number to the component library, enabling simultaneous programming of all components with the same number. This saves time in future inspections. After programming, settings are updated to the component library, ensuring automatic application to components with matching numbers in new programs. 4. Creating a Standard Image A standard reference image (template) is created for the resistor by selecting an area that fully encompasses the component. This image is saved without a detection algorithm, serving as a visual reference for maintenance staff or judges to compare with actual test images and assess product quality (good or bad). The presenter stresses using a standard "good" image, not a defective one, for this purpose. 5. Detection Algorithms and Vectors Vectors: The concept of vectors is introduced to reduce false positives. Vectors adjust the detection window’s position based on the actual location of the component. For example, if a resistor shifts, the detection window follows it by calling the appropriate vector, ensuring accurate inspection. Solder Joint Inspection: A detection window is created to check soldering quality (e.g., detecting issues like air welding or virtual welding). This window calls the resistor’s vector to stay aligned with its position. Pad Detection: The first algorithm identifies solder pad positions as a reference for subsequent checks. The presenter uses an RGB light source (red, green, blue) to enhance pad visibility, adjusting settings to distinguish the pad from its surroundings. The detection window matches the pad’s size, and a template is picked up for comparison. The search window is enlarged to locate the pad, with parameters set (e.g., 65–100) to define acceptable variations. This algorithm outputs "Vector 1," representing the pad’s position, for use by later algorithms. Resistor Offset Detection: A second algorithm checks for resistor placement offsets (X, Y, and angle). It uses the pad’s position (Vector 1) as a reference but does not call it, as it aims to detect misalignment. The light source is adjusted to highlight the resistor’s features, and the detection window matches the resistor’s size. A template is picked up, and the search window is expanded. Parameters are set for allowable offsets (e.g., X and Y at 350–400 µm, angle at 3 degrees) and size/shape differences (e.g., 5 units). The algorithm outputs "Vector 2." 6. Light Source and Image Enhancement The RGB light source is adjusted to make features (pads, solder joints, resistor body) more distinct, improving recognition accuracy. Brightness and color settings are fine-tuned (e.g., setting brightness to 127–255 for solder joints) to highlight specific areas, such as the resistor’s two endpoints. 7. Parameter Settings and CAD Coordinates Detection windows are aligned with CAD coordinates from the PCB design for precision. The presenter notes that incorrect CAD data (e.g., from a Gerber file instead of the pick-and-place machine) can cause angle misalignment, requiring manual correction. Using accurate pick-and-place CAD coordinates is recommended. 8. Updating and Finalizing After programming, the settings are updated to the component library, applying them to all resistors with the same number. The video concludes with a partial introduction, as additional detection items remain for future videos due to time constraints.