Everyday Experiments

Everyday Experiments

How will tomorrow’s technologies redefine the way we live at home?

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Light Filters

AR
Spatial Mapping
Deep Learning

00:00 / 00:00

What if you could see the effect of light before deciding on a lamp?

Built by — ManvsMachine

ManvsMachine is a design and direction studio founded in 2007, with locations in London and Los Angeles. Our work is primarily design-focused, whether we are creating motion branding assets and guidelines or filming live action television ads. Everything we do comes from a starting point of a strong visual language and core creative concept.

Light Filters is a speculative design prototype for an augmented reality (AR) app that would allow you to see what your room looks like in any type of light. The app would identify ambient light sources at home from skylights, windows or doors and then correlate them to data-points on your location – the time of day, point of direction, and real-time weather patterns – to understand the natural 'light rig' of your environment.

'Light Filters displays what a room could look like under different lighting conditions. This could be useful for determining optimal furniture placement so you don't get blinded by sun rays in your favorite chair four months out of the year, for instance.'

Using your phone as a lens, the app would invite you to control several parameters (sliding between the past and the future, for example) and see the real-world shadows and lighting within your environment adapt in real-time. This means a user would be able to pivot from a dark winter’s afternoon to a golden midsummer sunset, or travel to different 'light locations' around the world. A misty mountain top in India, a summer morning in Iceland, or golden hour in Sao Paulo.

'The experiment itself doesn’t actually add anything new to the environment at all, it just allows us to expand on – and better understand – what already exists. At its foundation, it’s really just expanding on information.'

Light Filters still presents a challenge to implement in a functional demo. Even state-of-the-art artificial intelligence image (AI) generation technology is slightly immature when it comes to being able to predict, for example, how shadows move across a room throughout the day. One way of getting around this could be to use LiDAR to reconstruct the setting in three-dimensional (3D) and then support the predictions by using the 3D model to simulate the changing conditions.

'The main difficulty was keeping everything grounded in what could be possible within the constraints of near-future technology.'

—ManvsMachine

ManvsMachine are keen that people can draw value from this experiment in whatever way is most important to them. Some may use it while apartment hunting, to better understand how time of day and seasons would affect a space. Other people would use it on a more emotional level – a warm, much-needed reminder of what their world feels like under the summer sun, on a wintry January afternoon.

'We understand more than anyone how much lighting can redefine our perception of things – and in this case –  the spaces we inhabit. This project hopefully helps to demonstrate that in a way that’s accessible to everyone.'

—ManvsMachine

Everyday Experiments is a project by SPACE10 & IKEA.

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Everyday Experiments

Everyday Experiments

How will tomorrow’s technologies redefine the way we live at home?

Watch The Film

Browse Experiments

00:00 / 00:00