In manufacturing, quality control (QC) is a process to inspect products before shipping. It is a crucial step to ensure that
defect-free and only quality approved products, reach the consumers. When such defective products are deployed
in the market, consumers can face issues such as scratches on a new smartphone, or parts in their car start to
vibrate after a certain usage time.
In mass production, the process of detecting product defects remains a challenge and can be very cost or labor intensive. In many cases, multiple production lines are adding complexity to the entire process, and often defected products are omitted and bypassed due to human error. Sometimes the QC process is done for only a few samples due to cost issues.
Skelter Labs’ defect detection technology has been developed with the goal to automate product inspection and to ensure only defect-free products are shipped. Our advanced deep learning solution allows manufacturers to minimize costs while improving their defect detection rate significantly.
- Automatically check defects of various kinds objects, from simple smartphone films to complicated automobile parts that can be stained with oil or dirt.
- Ability to train with a small amount of data, by breaking down a complicated product into several common components with simple structure.
- High OK precision and defect recall (over 99%)