* Intelligent planning path, memory family layout, cleaning every corner.
* WIFI connect mobile phone, Timing boot, Automatic Cleaning for Home and Office, Automatic charging.
* V-shaped floating roller brush.
* 1800PA large suction, brushless motor, the noise is less than 55db.
* 420ML dust box, double filter system, effective filter dust, mites, and more clean air.
* 5200mAH Long-life Li-Battery, it can cleaning 250 square meters of the environment.
* 96mm Slim design enable this Robot Vacuum Cleaner working in the narrow space.
Yes, I’ll be planning my home cleanup.
I have a large number of sensors, the acquisition of data real-time synchronization to my three “brain”-processors, they will simulate the human brain thinking mode, and collaborate with each other, the data collected to the slam algorithm, building a room map, and real-time positioning. According to the Map Division area and the plan sweep path, finally forms the first along the edge after the z zigzag sweep path, completes the partition sweep task each.
High precision laser Ranging sensor
The LDS laser ranging sensor is my eye, which scans the room at 5×360°/seconds to get distance information. When the laser is projected onto the barrier, a spot is formed in my eyes. At the same time, the image sensor will calculate the center distance of the laser ranging sensor according to the pixel serial number of the spot.
Three separate processors are my clever “brain”, which simulates the way the human brain thinks and collaborates with each other, gathers and processes sensor information synchronously, builds maps in real time by positioning and computing, and plans the final sweep path, making the sweep more efficient.
I can always detect a complex environment.
Different families have different space environment, how can we meet all kinds of home environment? I’ve covered 12 types of sensors for mainstream robots, in any home environment, 9.6cm fuselage height can easily enter the corners of the home, visible and invisible places can be elegant finish sweeping.
Industry-leading slam algorithm
Synchronous location and map construction algorithm, also known as the Slam algorithm, is used in the United States NASA Mars vehicle, Google unmanned vehicles and other High-tech projects, it is based on the accurate distance information obtained by the laser ranging sensor and the omni-directional data such as the gyro direction data, odometer data and accelerometer data, which can be used to construct the room map in real time, and to know exactly where you are on the map, so as to provide guarantee for the comprehensive path planning.
Perform clean-up tasks efficiently
I will draw the map according to the slam algorithm to divide the area and plan the cleaning path, so as to clean. With the cooperation of sensors, I can know the distribution of indoor ground objects, identify obstacles and plan the cleaning path in real time. In order to ensure the cleaning effect and cleaning efficiency, I will use the first Yanbian after the Z-shaped sweep path, to complete the partition cleaning, efficient completion of the clean-up task.
Automatic recharge and resume sweep
I scanned and positioned the charger seat through my own laser ranging sensor to identify its location on the map. When the room is completely cleared, I will automatically plan the shortest route back to recharge the charger seat. In the cleaning on the way, if the electricity is below 20%, I can automatically return to recharge the charger, when the power charge to 80%, I will return to the last unfinished location to continue sweeping, to avoid repeated cleaning.
I am a good helper for clean cleaning
The whole machine floats the ground, the powerful high static pressure fan can effectively absorb the dust, simultaneously with the edge brush sweep, the roll brush vertical volume and so on three-dimensional sweeping system can easily absorb the topsoil dust, the hair, the debris, may the depth clean floor, the tile crevice accumulates the dust. Even barefoot walking on the ground, there is no dust and particles feel, let you always feel warm and clean home!
Japan Nidec Brushless motor, so that I can reach the maximum air volume of 0.67m3/min, the maximum wind pressure of about 1800pa*, strong wind pressure can be brought by the rapid and effective suction of dust attached to the ground or carpet.
Sweep along the wall
I am along the wall sensor, in the process of cleaning the wall side gap always and the wall to maintain an accurate distance of about 10mm, at the same time with the edge brush high-speed rotation can completely clean the wall edge of the gap dust.
I used modular design constructs
Composed of seven parts, the whole body is pure white, concise and elegant. 9.6cm height allows me to travel through a variety of narrow space, IMR process of the lid, but also let me feel translucent, all over the use of high-strength abs materials, wear resistant to aging. And the surrounding and the bottom of the use of abrasive treatment process, to avoid the impact of wear left traces. The charging seat uses the fireproof grade V0 grade plastic material, effectively reduces the safety hidden trouble.
LG/Panasonic high energy density of 18650 lithium ion batteries, capacity of 5200mAh, the standard mode of a single maximum life time of about 2.5 hours the largest cleaning area of about 250 square meters *, the special design of constant current voltage charging mechanism, can ensure that the battery in a specific DoD (discharge depth) of the cycle life of up to 2 years, at the same time with automatic recharge of the intimate function, can meet the needs of different areas of household cleaning.
We offer the battery to buy the address in the future.
Remote Intelligent Control
Open the Mihome app, and you can check the sweep status in real time and get a real-time map of the cleanup. In addition, you can always arrange my clean-up tasks, before work to set a good daily cleaning time, home after work can feel clean ground bring small happiness. Cleaning, there are quiet, standard, strong three kinds of sweeping mode can be switched.