Are you aware of how difficult and annoying the job of energy auditor is? Hundreds of visits to strangers per day to ascertain how much electricity they’ve used, keeping all readings on paper. To save time performing this routine task and avoid possible mistakes, one of our customers came up with the idea of developing a special project based on Machine Learning. It’s an Android application which recognizes meters and captures readings and serial numbers via a mobile phone camera.
One of the most innovative features Machine Learning allows is the recognition of images, voice, words, faces, and other objects. Applying complex ML algorithms, our mobile app developers built an app that recognizes meters with all their presented data via a camera. After recognizing a certain meter, the application captures the readings and a serial number and, then, tries to find a pre-registered user in the database to add the record of the readings to the user’s history. Using this application, it’s possible to make a registry of subscriber readings in a few simple steps. All you need is a mobile phone with a good camera that can distinguish the details in poor lighting.