One of our core technologies is in the area of machine-learning; the Fully-Convolutional Deep Neural Network. While this is a daunting name, it relates to a set of conceptual building blocks which we aim to describe in an accessible way.
DigitalBridge builds high-tech applications to help our users embark upon their renovation projects, allowing them to visualise what their room will look like after a re-decoration, and giving them a realistic idea of what they can do with their space. We are using latest developments of Augmented Reality and 3D capture devices to offer customers new possibilities for their next home renovation. In this blog post we are going to talk about a technique under development to estimate a floor plan automatically from a 3D scan of a space, and outline some of its uses.
At DigitalBridge we create products that aid the design and visualisation of kitchens, bedrooms and bathrooms. Using sophisticated computer vision algorithms we allow a user to design and visualise their new kitchen, bedroom or bathroom in their existing room. By understanding the user’s current space we can make informed decisions on how to assist them in this process.Scene understanding is the process of using a photo (or set of photos) to return semantic knowledge of a scene’s contents. One aspect of scene understanding is determining the objects in a photo. This may be performed at the object level, through object detection, or at the pixel level through semantic segmentation. This blog post will focus on the latter.
This is our first of a series of technical posts detailing different aspects of visualisation, including how we achieve the look we want and the challenges we face.
As a consumer there’s nothing more frustrating than spending hours deliberating over your new bathroom, only to find that your sink and tap choices aren’t compatible later down the line. Our product discovery service helps retailers manage complex product configurations, dependencies and relationships, meaning consumers can now choose and visualise a product and the accessories that match from the outset.