Machine or building maintenance without type or name plates would be impossible…

However, working with these tiny metal plates packed with relevant information about machinery and appliances can also be quite challenging. Especially when they’re old, weathered and there’s no expert around who can decipher and interpret them correctly.

• Not enough well-trained staff with expertise

• Staff with expertise often has to travel far to solve maintenance issues

• It is very cumbersome to transcribe the information from a type plate - Mistakes happen easily

• Not sustainable

We use Optical Character Recognition to identify the missing text modules.

Use of Deep Learning trained models that identify and intelligently replace the missing elements.

• More efficient

• Cost Saving

• Fast and easy Maintenance Process

• No unnecessary travelling of maintenance personnel and thus waiting times

• Sustainable, as maintenance can be accomplished more quickly and with less effort

• Digital copies of the plates can be held in a database for maintenance