The medical field is also one of those areas which can benefit from detection of flaws using deep learning tools. As proved by PEKAT VISION software that we used to inspect pill blisters.
In this case we decided to use our Surface Detection module and Anomaly of Surface module. The first mentioned module was chosen to deal with pill cracks. Anomaly of Surface was then used to detect the bigger defects – e.g. missing pills.
Combination of different modules is one of the great features of PEKAT VISION. It enables you to precisely adjust the functions of the software to the specific problem that should be solved without being restricted to use just one approach.
Pictures of the blisters were taken using a Basler monochrome camera. The pylon driver is directly implemented in PEKAT VISION to enable easy connection and setup of the camera.
Detection of flaws on pill blisters was one of the live demonstrations of our software that we performed at Stuttgart Vision Show this year. We used this demonstration also to show that PEKAT VISION can work with Siemens PLC – we connected the PLC and a signal tower for this demo. The PLC was communicating with PEKAT VISION software and the signal tower through which it showed whether the blister was defect-free (green light) or defective (red light).
We offer the possibility of conducting a Feasibility Study – you can contact us directly through this link https://pekatvision.atlassian.net/servicedesk/customer/portal/4/group/5/create/28
or through our website: https://www.pekatvision.com/contact.
Find more detailed explanations of functions and video tutorials on our website https://www.pekatvision.com/videos
or on our youtube channel https://www.youtube.com/channel/UCvbx26TqHNgbIVAY-80XJ1A.