came to your house, the Dyson vacuum cleaners experienced clean test, test, test kilometers image processing &hellip tens of thousands; … it is "training" to not only meet just need but also independent learning and thinking of you, the most important is it is Yan PA, but by strength. How to prove? This is for you to "disassemble" the powerful black technology behind it.
Dyson founder and inventor James • Dyson was already foreseen intelligent robots will be Home Furnishing clean future. But to do this, it must be a cleaner truly efficient and clean, and never far from the surface. He realized that "every family has different indoor environments, and every room in the family is different.". To make cleaner robots efficient and clean, they need to think like humans: make decisions based on the immediate surroundings." these numbers are how to condense into a set of strong, intelligent, Internet as one of the 360 Dyson Eye™ Dyson intelligent robot cleaner?
to the Dai Senquan size vacuum cleaner technology condensed into small volume, engineers developed a fine to 0.45 mm is enough to bear weight of the plastic material. This material greatly reduces the body of the dust absorbing robot, and retains the powerful patented motor ² and multi cone cyclone ™ dust collection technology ³ design. However, it is not enough for a vacuum cleaner to rely solely on strong attraction, but also to understand the intelligent planning path and positioning navigation.
Dyson advanced intelligent vision technology inspired by ancient navigation, like the seaman to draw the route through the sky, Dyson robots use the house object triangulation on their own.
, first of all, for the robot with a 360 degree panoramic camera, so that you can observe the surrounding environment in real time. This camera took 4 years to improve the observant and alert, the first prototype of the ceiling lamp as a 360 degree mirror, then it will shrink to the size of the ball bearing.
, then, the camera captures 30 frames per second in the range of 45 degrees ¹, and Zhou Zaojian makes the whole image. Synchronous positioning and mapping software (SLAM) can identify the main features of the room, and constantly triangular positioning, in order to "back" font movement, so as to achieve the whole indoor system of navigation and cleaning.
, in addition, Dyson's vacuuming robot, in addition to the existing tasks, but also in the future to continue to learn new skills.
Dyson Engineer in addition to its built-in 700 thousand generation code ¹ also, the use of cloud technology to make it have independent software update and learning ability. According to the use of real data feedback, the research team to develop more new features and solutions, establish a more intelligent brain for cleaning robot in the cloud using Wi-Fi Internet, can deep learning and update, so as to keep a good state of operation and solve the problem of cleaning.
one by one to solve the above problems, Dyson is committed to intelligent robot cleaner to build every detail to perfect. As long as you relax, this intelligent vacuuming robot will free your hands and sweep away.