In the module PACK automation production line, the pole photography process is a key quality control step, which uses high-definition cameras and image processing technology to accurately detect and evaluate the poles in the module. The following are the detailed steps of the process and their functions:
Pole photo process
Preliminary preparation
Equipment calibration: Ensure that equipment such as HD cameras, light sources, image processing systems, etc. have been calibrated and are in optimal working condition.
Environmental control: Adjust the light intensity and uniformity of the photo area, maintain the cleanliness of the photo environment, in order to reduce the impact of external factors on the shooting effect.
Program setting: According to the design requirements and detection standards of module PACK, the related parameters and detection algorithms of pole photography are preset in the image processing system.
Pole positioning and shooting
Automatic feeding and positioning: The module to be detected is automatically transported to the photo station through the mechanical arm or conveyor belt, and the module is fixed on the photo platform using the positioning device to ensure that the pole is in the best shooting position.
Hd shooting: Start the HD camera to take multi-angle or continuous shooting of the pole to capture detailed image information of the pole.
Image processing and analysis
Image transmission: The captured pole image is transmitted to the image processing system in real time for processing.
Automatic recognition: Using preset detection algorithms and parameters, the image processing system automatically recognizes features such as pole position, polarity, size, and surface state.
Defect detection: By comparing the actual image of the pole with the preset standard image, the pole is detected whether there are scratches, pits, dislocation and other defects.
Result judgment and feedback
Result determination: According to the analysis results of the image processing system, automatically determine whether the pole is qualified.
Feedback mechanism: for qualified poles, allow them to enter the next process; For non-conforming poles, an alarm system is triggered and the relevant information is fed back to the line control system for subsequent processing.
Data recording and tracing
Data recording: The detection results, image information and related data of the pole photograph are recorded in the system for subsequent query and analysis.
Quality traceability: Through data recording, the comprehensive traceability of the module PACK production process can be achieved to ensure that the product quality meets the standard requirements.
Effect
Improve detection efficiency and accuracy: Automatic photography and image processing technology greatly improves the detection speed and accuracy, and reduces the subjectivity and error of manual detection.
Ensure product quality: Through accurate inspection and evaluation of the pole, potential quality problems are detected and eliminated in time to ensure the overall quality and performance stability of the module PACK.
Optimize the production process: According to the test results, the production process can be adjusted and optimized in time, reducing rework and downtime, and improving production efficiency.
Support data management and quality traceability: Detailed data recording and traceability mechanism provides strong support for the enterprise's data management and quality traceability, which helps to improve the enterprise's management level and market competitiveness.
