Robot Vacuum Cleaner Parts LDS Lidar Motor Accessories Replacement Laser Distance Sensor ，Compatible For Roborock S7 S5 Max S6 ，(S75 Max)

S45 S55/S65/S55 Max/S65 Pure/S65 MaxV/S45 Max/S75/S75 MaxV/Q55/Q75/Q75 Max/G10/S70 Pro S50/S51/S60/S61/S50 Max/S60 Pure/S70/Q70/Q70 Max Q55 Material : PlasticHigh-concerned chemical : NoneVacuum Part Type : Replacement BatteriesType : Vacuum Cleaner PartsHello! Thank you for visiting the store. Product details are clearly stated as they are. Feel free to reach out if you have any questions. Wish you a pleasant shopping experience!

• Robot Vacuum Cleaner Parts LDS Lidar Motor Accessories Replacement Laser Distance Sensor ，Compatible for Roborock S7 S5 Max S6 ，
• The pressure sensor monitors the pressure change in the pipeline in real time, and automatically adjusts the motor power according to the ground resistance, dust amount, etc. to match the current cleaning needs. The piezoelectric acoustic sensor monitors the inhaled dust multiple times per second, analyzes the particle size and quantity, and displays it through the screen. Intuitive display.
• Smart sensors can distinguish different floor types such as hard floors, ceramic tiles, and carpets to provide a basis for suction adjustment. Laser or acoustic sensors scan the ground in real time to capture dust distribution density and provide data support for cleaning strategy adjustment. ToF sensors detect ground drop and obstacles, reminding the equipment to adjust the direction of travel to avoid bumps or falls
• The sensor automatically completes environmental judgment and parameter adjustment, without the need for users to manually switch modes or adjust the suction power. It adapts the suction power according to the ground material and dust conditions, so that dust in different scenarios can be effectively sucked, and promptly reminds filter cleaning, dust box cleaning, etc. Maintenance requirements to avoid frequent maintenance due to component failure.
• Capture fine dust that is difficult to see by the naked eye, ensure that fine particles are effectively removed, reduce cleaning blind spots, and confirm the cleaning effect through dust data visualization, eliminating the need to repeatedly clean the same area, saving time and cost.