OCR using Machine Vision is commonly used to read characters printed on packaging labels, currency, credit cards, automotive parts like chassis, etc. Basically used for the purpose of identification, verification, tracing and tracking of character codes and data. Machine Vision OCR technology can also be used for ensuring the correctness of labels that are printed, this is especially important in pharmaceutical manufacturing.
Benefits:
The main differentiators over traditional OCR technologies is that:
- Easy to train using a point and click interface
- It can read any style of character even if images differ in characteristics from the trained ones.
- Much higher accuracies, comparable to human read rates, but with much faster processing time
- Multiple fonts can be easily supported
Our solution uses Deep Learning for character recognition
Our solutions are running successfully across a variety of different industries and applications. Some images are shown as an illustrative example below.
Images Captured by the Vision System
The below example is where we’re using the latest deep learning technology to read complex and difficult to read characters. Deep Learning has been successful in achieving over 98% read rates, with over 97% accuracy in reading errors.
