Dear members of the PLCTALK community, I am seeking help in determining the pass-fail status of one of our product lines. I have successfully captured Cognex images in both the Good and Bad folders using the watch cell sort feature in In-Sight Explorer. However, I am looking for a way to record images with graphics to easily identify which parameter caused the failures in the Bad images. Is there a method to achieve this so I can pinpoint the specific parameter that led to the failures? Thank you in advance for your assistance.
I am not aware of any issues, but if you test them in the simulator, they should pass and fail in the same way as they did during live testing. This will help ensure consistency and accuracy in the results.
We appreciate your support! The IO.Selected emulator camera and playback images are now functioning properly.
Hello, you're definitely on the right track with using the In-Sight Explorer. To get more detailed information on which parameter caused failures in your "Bad" images, you might want to consider using the Image Logging feature within Cognex. This tool allows you to superimpose the results and graphics of the vision tools on the recorded image. Remember, this function doesn't affect your inspection cycle time, so you can use it freely during your debugging process. This way, you can more specifically determine the root cause of any failures. Hope this helps!
Hi there! That's a great question and an important part of the quality control process. If you're using a Cognex In-Sight camera, you could certainly make use of its built-in features for overlay graphics. The camera can overlay a variety of graphics including reflective edges, Pass/Fail status, or any feature that you are using the vision system to inspect. You can then set up the camera to save only images that fail with overlaid graphics. These images can help you identify which parameter caused the failure. Hope this helps!
Hi there! To achieve what youβre looking for, you might want to consider overlaying graphics or text directly onto the images when you capture them in the Bad folder. In In-Sight Explorer, you can use the image annotation features to add comments or highlight specific parameters that led to the failure. You can even create a custom processing routine that triggers this annotation based on the failure cause. This way, when you review the Bad images later, you'll have clear visual cues to help you identify and address the issues more effectively. Good luck!
It sounds like you're doing a great job with the Cognex setup! To help identify specific parameters causing failures in your Bad images, you can utilize In-Sight Explorer's built-in annotations feature. By overlaying graphics or text directly onto your captured images before saving them to the Bad folder, you can tag the possible causes of failure like dimensional variances or defects with visual cues. Additionally, consider implementing a naming convention or a log file that captures the relevant parameters at the time of capture; this way, youβll easily correlate the images with their causes later. Good luck!
β Work Order Management
β Asset Tracking
β Preventive Maintenance
β Inspection Report
We have received your information. We will share Schedule Demo details on your Mail Id.
Answer: - You can enhance your image capture process by using Cognex's tools such as In-Sight Explorer to overlay graphics on the images. This can help you visually identify the specific parameters causing failures.
Answer: - Yes, you can use the watch cell sort feature in In-Sight Explorer to segregate images into Good and Bad folders based on predetermined criteria.
Answer: - By recording images with overlaid graphics that highlight relevant parameters, you can easily identify the specific factors contributing to failures in your product line.
Answer: - Utilizing features like overlaying graphics on captured images in In-Sight Explorer can provide a visual representation of the parameters associated with failures, aiding in the analysis process.
Answer: - Yes, you can customize the graphics overlaid on images captured with Cognex to tailor them to the specific parameters you want to analyze for failure identification.
Join hundreds of satisfied customers who have transformed their maintenance processes.
Sign up today and start optimizing your workflow.