From Image to Text — Leading Lost Property System Recognizes Everything
“Optical Character Recognition (OCR)” or simply “Text Recognition” for the easiest, fastest, and most hassle-free Lost and Found Experience worldwide.
Just take a picture of a found item with any text on it, i.e. a serial number. The Lost and Found Software does the rest! Additionally to utilizing the existing image recognition technology, which recognizes, identifies, and categorizes the item, the Software now even recognizes any texts and numbers.
Adding as much information as possible to a found item is the key to successfully returning found items in no time. That will give you the advantage you need for faster Lost & Found management compared to other solutions — especially when compared to our competitors, pen and paper followed by spreadsheet. Lost and Found Software means happy passengers, less hassle, and lower costs.
See the Solution in action here:
Our Machine Learning and AI powered cutting-edge Smart Matching technology identifies, registers, and returns found items in no time.
UPDATE 16th of July 2021
Our new Smart Text Recognition uses machine learning to scan and extract text from images instantly. IMEI Numbers for example.
Convert your phone into a scanner using this functionality. This feature enables you to perform OCR (Optical character recognition) and allows you to easily scan text from images.
About Lost and Found Software
LostandFoundSoftware.com is the leading Lost and Found Software provider for all modes of travel, delivering Lost and Found solutions for airlines, airports. public transport, municipalities, and more. We co-innovate with our customers, who are industry leaders worldwide, to provide an easy, seamless, safe, and sustainable Lost and Found experience.
Today, our solutions drive operational efficiencies at more than 1,500 organizations while delivering the promise of the best Lost and Found experience globally. Lostandfoundsoftware.com provides the most innovative technology solutions that help to reunite customers with their belongings.
