| Package barcode Recognition |
PCB Solder Joint Detection |
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Each package has a unique bar code to effectively control the parcel sending and receiving.
ActivVisionTools provides multiple segmentation methods to extract tested objects under complex conditions. Combined with Feature Extraction and flexible blob processing, the welding holes can be calculated in a stable and reliable manner. |
The solder joint quality of printed circuit boards must be checked during reflow soldering. This is especially important when the welding machine is reset and the optimal parameters are determined.
ActivVisionTools provides multiple segmentation methods to extract tested objects under complex conditions. Combined with Feature Extraction and flexible blob processing, the welding holes can be calculated in a stable and reliable manner. |
| Particle statistics |
Serial number identification on Metal |
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Cell statistics in medical applications have been a daunting task due to poor contrast, uneven background, and changing lighting conditions.
Even targets that are hard to distinguish from the human eye can be effectively separated from the background. After processing, noise can be removed from the targets that are incorrectly divided and located. Interactive tools enable us to intuitively check feature distribution and obtain feedback results under different input parameters in a timely manner. |
Each machine is identified by a unique serial number, which must be registered and stored in the Cargo planning system before shipment.
There are often many scratches on the metal surface, which makes it very difficult to separate characters. ActivVisionTools provides advanced OCR methods to extract characters from complex backgrounds. In addition, information about the number structure can be used to reduce recognition errors. |
| Switch Measurement |
Surface Detection |
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Before the switch is installed on the printed circuit board, it is very important to determine the position of each foot to ensure correct installation.
Use the switch itself as the measurement benchmark. With the sub-prime capability of the measurement tool, pin spacing can be accurately measured. With 3D calibration, the measurement accuracy is very high and is irrelevant to the position of the object in the image. |
After polishing the surface of many metal objects, it is necessary to carefully check whether there are scratches and dents. This step is very important for metal objects with high quality requirements.
The use of optimized direct light and polarization filters can be seen even with very small defects. The blob algorithm can identify all irregular characteristics on the metal surface. Post-processing can suppress metal surface structures (such as surface patterns) and retain only defects. |
| Package |
Canned bottom dot matrix Character Recognition |
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Many products need to be packaged before they can be transported. to ensure product quality, the packaging process must be tested.
Appropriate segmentation algorithms can be used to determine the location of the object to be tested in the packing box. feature extraction can separate the product from the packing box, by setting the appropriate conditions for extracted features, you can determine whether the placement position is appropriate. |
The batch number and shelf life of the canned food must be specified after packaging. These characters must be read before packaging for record.
Because the background is different and the character quality is poor, it is not easy to read these characters correctly. The OCR function of ActivVisionTools can easily read these characters without too many settings, it is not a problem even if the characters are printed from various angles. |
