How many times have you been asked to spell your name, while also sending over paperwork which already has all your personal data? Manually processing the data can lead to human errors and often are time-consuming. Automating image or text recognition, accurately convert speech into text helps to deliver better user experience and improve customer interaction with your services.

Using Artificial intelligence and Machine learning, systems can now detect and convert in re-usable data in a matter of milliseconds, tasks that usually can take minutes or even hours.

Detect objects or purpose from image recognition

Image recognition can help to identify objects or even the purpose of specific areas within the image. This may look taken from a movie or only accessible to large corporations, but Artificial Intelligence has become accessible to any business looking to automate and save resources with manual tasks.

Image recognition can be used in various scenarios:

  • from identifying violence acts
  • counting different objects and distance between
  • detecting specific trigger points within your manufacturing process.

We’ve tested using a sample driving licence. At first glance, it looks like is just containing the driver’s information. But analysing closer, using Artificial intelligence it can detect:

  • the face and what feeling it denotes
  • identifies Union Flag and EU flag
  • detects personal information and mark it accordingly
  • search for adult or violence content

Text recognition – get rid of paper clutter

Storing paperwork and finding information fast through hundred of pages could never be easy. Scanned files or even pictures with documents received from customers can be automatically digitised and using particular patterns, information can be identified and used in populating other trigger points (for example email notifications, invoice validation, payment, and scheduling events).

If your business relies on paperwork, this process can save hundreds of hours of processing and eliminating any human error. Not to mention the time searching for specific information based on a name, compared with going through hundreds of physical folders.

Speech recognition – identify mood and conversation purpose

Speech recognition has become a common task, with the introduction of Siri and Alexa. Identifying vocal commands is one of the most common interactions, that brings some commercial benefits.
But speech recognition can also be used on other integrations. Using Machine learning it can identify the mood of the person or can convert into a text transcript for identifying various data (for example, address or customer name).
This can be useful in call centers: identifying if your staff may need a break, or if a customer is angry, even attempting a fraudulent transaction.