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Comparison Dreame D10S Pro vs Dreame D10s

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Dreame D10S Pro
Dreame D10s
Dreame D10S ProDreame D10s
from $499.99 
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Typerobot vacuum cleanerrobot vacuum cleaner
Cleaning
dry and wet
side brush
turbo brush
wiping with a cloth
dry and wet
side brush
turbo brush
wiping with a cloth
Water supply adjustment
Robot vacuum cleaner
Suction power5000 Pa5000 Pa
Dust container capacity570 ml570 ml
Water tank capacity240 ml240 ml
Power auto-adjustment
Fine filterHEPAHEPA
Building a room maprangefinder + camerarangefinder (laser)
Cleaning area limitationvia the appvia the app
Features
Control via smartphone
Voice assistantGoogle Assistant, Amazon Alexa, Apple SiriGoogle Assistant, Amazon Alexa, Apple Siri
Scheduled cleaning
Object recognition
Memory of several maps (floors)
Surveillance camera
Battery
Battery capacity5.2 Ah5.2 Ah
Operating time280 min280 min
Charging time5 h5 h
General
Noise level60 dB60 dB
Dimensions (HxWxD)9.68x35x35 cm9.68x35x35 cm
Weight3.6 kg3.6 kg
Color
Added to E-Catalogapril 2023april 2023
Compare Dreame D10S Pro and D10s
Both robot vacuums, Dreame D10S Pro and Dreame D10s, offer similar features, such as a suction power of 5000 Pa, a cyclonic dust collection system, and the capability for wet cleaning. Both devices have a dustbin capacity of 0.57 liters and a water tank capacity of 0.24 liters. They support smartphone connectivity, have auto power adjustment, and feature a HEPA filter. However, the Dreame D10S Pro stands out with a camera for room mapping, while the D10s uses a laser rangefinder. Both vacuums have the same runtime (280 minutes) and noise level (60 dB), but the D10S Pro can offer more accurate object recognition thanks to the camera. The choice between them may depend on preferences in navigation and space visualization methods.
Dreame D10S Pro often compared
Dreame D10s often compared
Glossary

Building a room map

Map building allows the robot vacuum to remember the layout of the room, track covered areas, and plan a consistent cleaning route. The method used to create the map affects its accuracy, orientation speed, and the device’s ability to detect obstacles.

— With sensors. The robot creates an approximate map based on data from the gyroscope, motion sensors, wheels, and collisions with obstacles. This system is more affordable, but determines the exact position of walls and furniture less accurately, and accumulated errors may lead to repeated passes or missed areas.

— With a rangefinder. A laser rangefinder, or LiDAR, measures the distance to surrounding objects and creates an accurate map of the room before completing a full pass around it. It works reliably in low light, confidently detects walls and furniture, and supports room division and no-go zones.

— With a camera. The camera analyzes the surroundings and navigates using visual objects, helping refine the robot’s position and the room layout. Its advantage is the ability to distinguish individual objects, although performance depends more heavily on lighting.

— With a rangefinder and camera. The combined system uses LiDAR for accurate distance measurement and map building, and a camera to detect small objects on the floor. Such a robot not only navigates rooms confidently in any lighting, but also avoids cable...s, shoes, toys, and pet bowls more effectively.

Object recognition

A function in which the robot vacuum uses a camera and analysis algorithms to determine exactly what is on the floor. The device can distinguish cables, shoes, toys, pet bowls, and other small obstacles, then chooses a safe route around them. Compared to conventional sensors, object recognition does not simply detect an obstacle but identifies its type, reducing the risk of getting stuck, collisions, and cables wrapping around the brush.

Surveillance camera

Built-in camera with remote access turns a robot vacuum cleaner into a mobile video surveillance device that can be controlled from a smartphone. It is convenient for checking your apartment while away, monitoring pets, or inspecting a hard-to-reach area, while some models allow voice transmission through the built-in speaker. Unlike an obstacle detection camera, this camera displays images to the user in real time or saves them in the app. Recording, night mode, and privacy features depend on the specific model.