Dyson Unveils New Smart Vacuums With AI and Advanced Spot Cleaning
Translated & summarized from Maariv by baba
Dyson has launched new smart vacuum cleaners integrating AI and computer vision, capable of identifying over 200 types of dirt and stains. A senior executive revealed the company's shift towards sensor systems and AI for real-time decision-making, emphasizing local data processing for privacy. The new robot vacuums will revisit stubborn stains up to 15 times, and the Camera Jet model is expected to reach Israel by early 2027.
The story in 5 lines · by baba
- Dyson's new smart vacuums use AI and cameras to identify over 200 types of dirt and stains.
- The robots can revisit stubborn stains up to 15 times for thorough cleaning.
- All data processing is done locally on the device to protect user privacy.
- Dyson's innovation is driven by extensive prototyping and a willingness to take risks.
- The Camera Jet model is slated for an Israeli market launch around early 2027.
Dyson has introduced a new generation of smart vacuum cleaners that integrate artificial intelligence and advanced computer vision. A senior company executive, Guy Turner, explained that while Dyson's historical strength was in mechanical engineering, the company has shifted focus since around 2017-2019 to incorporate sensor systems, connectivity, and product intelligence. This evolution involves using machine learning and AI to enable products to make real-time, informed decisions.
The new robot vacuums, featuring Spot and Scrub AI technology, are equipped with a front-facing HD camera capable of identifying over 200 categories of obstacles, stains, and dirt types in real-time. The system can differentiate between various types of debris and adjust its cleaning behavior accordingly. For stubborn stains, the robot will revisit the area up to 15 times to ensure complete removal, a feature Turner described as "forensic level of assurance."
Addressing privacy concerns, Turner emphasized that all data processing is done locally on the device. The cameras feed into an internal processor, and decisions are made within a secure environment on the robot itself, with no camera footage being transmitted to the cloud, even for algorithm training. Wi-Fi connectivity is solely for app control and scheduling.
To train the AI for local dirt recognition without relying on cloud databases, Dyson conducted extensive fieldwork, recreating diverse home environments from Tokyo apartments to Australian estates. This meticulous process ensures the robots learn to operate effectively in real-world domestic settings, adapting to variations in flooring, lighting, and even pet hair.
Turner also highlighted Dyson's philosophy of radical innovation, citing founder James Dyson's development of the first bagless vacuum cleaner, which required 5,127 prototypes. This culture of experimentation is evident in the development of products like the Camera Jet electric toothbrush and the CleanTrace system, which used augmented reality to map cleaned areas.
The new Nurovi robot vacuum series includes three models: the R1 for dry vacuuming in smaller homes, the R2 with added wet mopping capabilities, and the flagship R3, which features an AI-powered HD camera, UV light for detecting invisible stains, and a self-cleaning wet roller. The company expects the Camera Jet to launch in Israel around early 2027.