Optical Character Recognition (OCR) and Supply Chain
Optical Character Recognition (OCR)
Literally, OCR stands for Optical Character Recognition. It is a widespread technology to recognize text inside images, such as scanned documents and photos. OCR technology is used to convert virtually any kind of image containing written text (typed, handwritten, or printed) into machine-readable text data.
In many industries, quality control of the supply chain at every step of the process is essential to comply with safety, health and anti-counterfeiting laws, among others.
Certain items must be tracked in the supply chain at all times, and provide clear documentation of their origin and location.
Although product tracking is often managed through barcodes or Near Field Communication (NFC) chips, OCR still has a purpose.
It can read instantaneous batch codes, expiration dates and serial numbers. This information improves the tracking of a product through all stages of the packaging cycle, from labeling to putting the final product on the shelf.
OCR can also be useful in comparing the actual text with the expected string defined in the database, and flagging an out-of-sequence or missing serial number.
Barcoding and OCR are often used in tandem to maximize the accuracy of information collection.
This use case can be handled with different engines offered by different providers on the market. To help companies discover and test these different engines, we have developed Eden AI, which provides a single, simple access to all these engines: