1、 Equipment debugging and maintenance

oneOptimize optical system

   -Regularly clean optical lenses, projectors, and other components to prevent dust and stains from affecting imaging quality. You can use specialized cleaning tools and cleaning agents, and operate according to the equipment manual.

   -Adjust the intensity and angle of the light source to ensure uniform illumination on the surface of the object being measured. Select appropriate light source parameters based on different detection objects and environments to improve image contrast and clarity.

   -Calibrate camera parameters such as focal length, aperture, exposure time, etc. Regularly perform camera calibration to ensure image resolution and color accuracy, thereby improving detection accuracy.

twoPrecise mechanical adjustment

   -Ensure that the mechanical structure of the equipment is stable and free from looseness or deformation. Check the various components of the equipment, such as guide rails, transmission mechanisms, etc., and tighten and adjust them in a timely manner.

   -Adjust the levelness and verticality of the stage to ensure the stability of the position of the object being tested during the inspection process. Use tools such as a level to measure and adjust, ensuring that the accuracy of the stage meets the requirements.

   -Regularly calibrate the accuracy of the equipment, use standard parts or calibration plates for testing, adjust the parameters of the equipment to ensure the accuracy of the testing results.

threeSoftware parameter optimization

   -Adjust the parameters of the detection algorithm according to different detection tasks and product characteristics. For example, adjusting the threshold for defect detection, the accuracy of shape matching, etc., to improve the accuracy and reliability of detection.

   -Optimize image preprocessing algorithms, such as noise reduction, contrast enhancement, etc. Choose appropriate preprocessing methods based on the actual situation to improve image quality and enhance detection accuracy.

   -Regularly update device software to obtain the latest features and performance optimizations. Pay attention to software update notifications from device manufacturers, upgrade in a timely manner, and ensure that devices are always in the best condition.

2、 Testing process management

oneStandardized testing process

   -Develop detailed testing operating procedures, clarify the steps, methods, and standards of testing. Operators should strictly follow the operating procedures for testing to ensure consistency and accuracy of the testing.

   -Train the operators to familiarize them with the operation methods and testing procedures of the equipment. The training content should include the basic principles, operating skills, common problems and solutions of the equipment, etc., to improve the skill level of the operators.

   -Establish a quality control system to monitor and manage the testing process. Regularly conduct statistical analysis on the test results, and take timely measures to improve any problems found.

twoSample management

   -Select representative samples for testing to ensure that the test results reflect the overall quality level of the product. The selection of samples should consider factors such as different batches, models, and production processes of the product.

   -Identify and record the samples, including information such as sample number, production date, and test results. Easy to trace and analyze the test results.

   -Regularly review and update samples to ensure their quality meets requirements. If any problems are found with the sample, it should be replaced or adjusted in a timely manner.

threeenvironmental control

   -Keep the testing environment clean and stable, avoiding the influence of factors such as dust, vibration, temperature, and humidity on the testing results. Air purification equipment, shock absorbers, etc. can be used to control the quality of the detection environment.

   -Regularly monitor the testing environment and record environmental parameters such as temperature, humidity, air pressure, etc. If the environmental parameters exceed the specified range, timely measures should be taken to adjust them.

   -During the detection process, avoid interference from external light. Light shields, curtains, etc. can be used to control the lighting conditions of the detection environment, ensuring the accuracy of image acquisition.

3、 Data analysis and improvement

onedata analysis

   -Perform statistical analysis on the test results to understand the quality status and existing problems of the product. Data analysis software can be used to classify, summarize, and graphically process detection data, visually displaying product quality trends and problem distribution.

   -Analyze the misjudgment and omission of detection results, identify the reasons, and take corresponding measures to improve. For example, if the misjudgment rate is high, the parameters of the detection algorithm can be adjusted or the detection process can be optimized; If the missed detection rate is high, training for operators can be strengthened or the detection accuracy of equipment can be improved.

twocontinuous improvement

   -Based on the results of data analysis, develop improvement measures and implement them. Improvement measures can include equipment optimization, adjustment of detection processes, training of operators, and other aspects.

   -Track and evaluate the effectiveness of improvement measures, adjust and improve improvement plans in a timely manner. Continuous improvement is the key to improving detection accuracy, and experience should be constantly summarized to continuously improve equipment performance and detection level.