[AI Image Inspection Case] Inspection of Presence or Absence of Parts in a Bag
We will inspect the bag containing eight types of stationery and make a judgment!
We received a request for a free evaluation from an industrial machinery manufacturer to check if there are any omissions in the stationery set packed in the bag. We will inspect whether there are eight types of stationery inside the bag. Although this time it was stationery, this is an example of an application that can be used in various industries, such as checking if assembly parts are complete or if the instruction manual is included. 【Inspection Settings and Results】 Detection was possible as long as the characteristic parts of the work were not hidden. However, there were cases where detection was not possible if the bag was directly under the reflection, so it is stable to place it under the camera with as few wrinkles in the bag as possible. We were able to distinguish the eight types of work that should be inside the bag effectively. The image shows the inspection screen displaying the judgment result table. In the right image, the missing "instruction manual," labeled "B," is highlighted in red.
basic information
【Software and Equipment Used】 Software Used: DeepSky (Learning Version) Field of View: 400 x 300mm Minimum Size of Inspection Target: 50mm Number of Inspection Points: 8 locations (presence or absence of 8 types of contents) Camera Resolution: 1.3 million pixels Lens Focal Length: 6mm Distance Between Lens and Product: 570mm Lighting: Indoor Fluorescent Light
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