We conducted a label printing reading inspection at the request of an automobile manufacturer. The inspection was carried out using OCR reading functionality, and the contents were recorded in a CSV file.
It seems that the inspection involving a mix of letters and numbers was difficult to determine at the time. With improvements in lighting and settings, we were able to read with higher accuracy. This request was made in 2015, but the OCR reading function in the current EasyInspector has been enhanced, increasing its accuracy, allowing us to retain images and record content in a CSV file.
【Inspection Settings and Results】
By using EasyInspector's "Character Recognition (OCR)" function, we detected readings from 16 printed locations, achieving a probability accuracy of about 90%, and we were able to make determinations in under 3.41 seconds. A 3-megapixel camera provided the most stable inspections. It is indeed easier to misdetect when letters and numbers are mixed; for example, "8" and "B" are characters that are prone to misdetection. However, when "8" is among the numbers and "B" is among the letters, we were able to read them relatively accurately and stably. Although the number of inspection frames increases, we believe that separating letters and numbers and setting inspection frames accordingly will enable stable inspections.
![[AI Image Inspection Case] Automobile Label OCR Inspection](https://image.mono.ipros.com/public/product/image/e4a/2001502455/IPROS14187992440423313098.png?w=280&h=280)
