SCHÖNER WOHNEN-Farbe
About SCHÖNER WOHNEN-Farbe
The work made for SCHÖNER WOHNEN-Farbe runs to 1 verified project since 2021 — mostly Challenge, CustomerExperience and DigitalMarketplace.
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AR Colour Visualiser
SCHÖNER WOHNEN-Farbe, one of the leading brands for trending wall colours and designs at home, approached us with the goal to create an intersection between inspiration and renovation with a new AR visualiser app that showcases the brand’s product range. Demodern proceeded to flip the script for image processing by writing the functionality to explore, virtually display and investigate over 1000 premium paint colours instantaneously. A new digital tool that closes the loop to create an end to end customer experience Generating revenue from new customer engagement opportunities Between both a large social and traditional media following, alongside an online product and shop finder, there was a gap for design inspiration to lead to confident renovation decisions—made especially apparent in the wake of a pandemic. This was an opportunity to help everyone express themselves at home after looking at their inner walls for so long, a sentiment all players involved could identify with. Challenging the marketplace status quo to deliver a more accessible, more simple solution into people’s homes Real-time image tracking During early prototyping Demodern investigated Apple’s latest LiDAR technology with glee. However, in order to prioritise a consistent experience for a wide user demographic without the latest devices, Demodern opted for image processing techniques that analyse the camera feed instead of spatial depth to improve overall performance. User-centric interaction design Running parallel, Demodern tackled the filter logic for navigating an extensive colour library. After a number of remote surveys and asking Demodern' mothers what’s best, Demodern created the ultimate UI panel grouped by two key use cases, filter by Tone (find the perfect ‘blue’), or Collection (be open to designer inspiration). Autonomous tracking and detection technologies Working with flood filling, an image processing technique, Demodern built the perfect cocktail mixture for creating a reliable reference point as soon as the user taps their wall on screen. From here the device can analyse tonal values in the live camera feed to automatically detect (and soften) edges, estimate light and simulate shadow, occlude furniture and mask out existing decoration eg. picture frames. Over a three month period since release on app stores, more than 500,000 virtual colours were previewed on walls And if that wasn't already a spark of joy, over 95,000 snapshots were saved to people’s phones as well as nearly 180,000 product detail pages clicked for finding shop / store information. Credits: Demodern https://demodern.com/projects