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dyson-cleantrace-announcement-malaysia

Dyson Unveils AR Tool That Visualises Areas You Have Cleaned; Helps Deep Cleaning Quicker

Study shows shows that users habitually overestimate the time they spend cleaning and underestimate how thoroughly they clean their home

In order to help users clean more efficiently without going over spots that have actually been cleaned, Dyson has revealed a new way to perfect cleaning with an Augmented Reality (AR) tool that ensures no spot is missed — the Dyson CleanTrace™.

This reveal was done based on an in-depth study that explained the cleaning behaviours of users comstantly overestimating the time needed to clean, as well as underestimating how thoroughly they clean. By that way of process, it’s easy to inadvertently miss areas or repeatedly vacuum the same spot, reducing efficacy and wasting time.


Taking inspiration from the systematic cleaning approach of the Dyson 360 Vis Nav™ robotic vacuum cleaner, the Dyson CleanTrace™ helps users to clean more methodically by providing real-time AR visualisations of where they have cleaned and the spots they have missed, removing the guesswork and solving the have-I-cleaned-there-yet quandary.

The Dyson CleanTrace™ also brings together a combination of technologies for the most powerful, intelligent and thorough clean. Utilising LiDAR technology from a user’s phone allows the Dyson CleanTrace™ to map your room and overlays cleaning pathways using AR, showing you where you have cleaned and what you have missed.

When you’ve finished cleaning, you can scan the room with your phone to identify gaps so you never miss a spot. The existing technology within the Dyson Gen5detect then acoustically senses and counts the dust particles, showing proof of a deep clean.

“We realised that we could all learn a thing or two from the methodical cleaning approach of our robot vacuums. Unlike most humans doing the cleaning, Dyson robots know where they are in the room, where they have been, and where they have yet to go. With the Dyson CleanTrace™, we add this extra layer of cleaning intelligence to the Gen5detect vacuum. It gives you the ability to see where you have and haven’t cleaned, which, combined with our on-board particle sensing technology, gives proof that the floor is truly clean.” said Charlie Park, VP of Engineering, Dyson Home

"Our research shows that consumers regularly overestimate the amount of time they clean – data shows that around 80% of cleaning sessions last less than 10 minutes, yet people claim they vacuum for an average of 24 minutes per session. Moreover, consumers are haphazard and inefficient – regularly overing the same areas multiple times and missing other spots altogether, demonstrating the need for the Dyson CleanTrace™." Added Charlie Park.


Here are more info on the Dyson CleanTrace™:

  • The Dyson CleanTrace™, in the form of a phone clamp, will weigh approximately 104g
  • Owners will be able to open the Dyson CleanTrace™ software via the MyDyson app.
  • It requires registering a Dyson Gen5detect vacuum cleaner for the module to become visible on the app home screen.

About Dyson Gen5 Hyperdymium motor:

  • The new motor delivers up to 280AW of suction power
  • It features a Fluffy Optic™ cleaner head that reveals twice the amount of invisible dust and traps 99.99% of particles down to 0.1 microns, the size of viruses.
  • Utilises a piezo sensor counts and sizes particles 15,000 times per second – automatically increasing power when needed and showing proof of a deep clean.

About Dyson 360 Vis Nav robot vacuum:

The most powerful robot vacuum with six times the suction of any other, armed with 360-degree vision and pioneering technology to know where it has been, see where to clean, detect walls to clean right to the edge, and is intelligent enough to respond to dust sensed in the home, ramping up suction power when needed.

Release and pricing of the Dyson CleanTrace™ to the Malaysian market is currently not yet announced. To stay on updates, visit www.dyson.my or follow Dyson at @dyson_my on Instagram for updates.

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