
META-aivi transforms cable inspection with AI, ensuring precision in recognition, classification, and defect detection for efficient electronics manufacturing.
META-aivi transforms cable inspection with AI, ensuring precision in recognition, classification, and defect detection for efficient electronics manufacturing.
META-aivi uses artificial intelligence to accurately identify size variations of the pipes instantaneously. Using the fast counting feature, all the different parts are classified and counted within seconds.
SolVision locates and marks the position of eggshell defects on sample images in order to train an AI automated inspection system
There are many types of defects that may appear differently each time on the stamped parts, in particular oil or water stains, which are not easily detected.
Overcoming traditional AOI limitations, Solomon’s SolVision quickly performs OCR without being affected by background or lighting conditions, complexity, or appearance of the serial number.
SolVision’s segmentation tool for classifying printed labels on IV bags - a process which cannot be automated by traditional AOI
After being trained with a small set of sample images, Solomon SolVision can identify defective products in real-time.
Deploy SolVision’s Instance Segmentation tool for quality control of hardware product casing
© 2023 SOLOMON Technology Corporation. All rights reserved.