Silver packaging bags are widely used in automated production lines in industries such as food and daily chemical products due to their aesthetic and moisture resistant properties.
However, the visual inspection of such packaging bags is a headache for many companies - they are soft and easily deformed, have strong surface reflection, and come in various shapes, making traditional inspection methods prone to misjudgment. How to achieve efficient and accurate positive and negative recognition?
In this issue, Xiaoming will use a visual sensor that is only the size of a headphone case to provide a solution to the technical challenge of quick disassembly.
Three major difficulties
Soft and easily deformed
The packaging bag may fold or twist on the conveyor belt, resulting in irregular contours and rendering traditional template matching algorithms ineffective.
Strong reflective surface
The aluminum foil layer or coating material triggers mirror reflection, masking key features.
Significant morphological differences
Soft packaging bags are prone to wrinkles, curls, and unevenness during transportation, resulting in uneven light scattering and significant differences in the same feature across different images.
Recommended Selection
We recommend the Akusense Vision Sensor VDS20 series to our customer engineers. This is a standard device that uses image sensors and optical components to obtain images of the object being tested. Through the built-in algorithm tools, it achieves functions such as presence/reverse/count detection, classification, OCR, etc.
