Comparison Dreame D10S Pro vs Dreame D10s
Add to comparison |  |  |
|---|---|---|
| Dreame D10S Pro | Dreame D10s | |
from $499.99 | Outdated Product | |
| TOP sellers | ||
| Type | robot vacuum cleaner | robot vacuum cleaner |
| Cleaning | dry and wet | dry and wet |
| Water supply adjustment |  | |
Specs | ||
| Suction power | 5000 Pa | 5000 Pa |
| Dust container capacity | 0.57 L | 0.57 L |
| Water tank capacity | 0.24 L | 0.24 L |
| Connection to a smartphone | | |
| Power auto-adjustment | | |
| Fine filter | HEPA | HEPA |
Robot vacuum cleaner | ||
| Robot functions | scheduled cleaning object recognition security camera | scheduled cleaning |
| Building a room map | rangefinder + camera | rangefinder (laser) |
| Cleaning area limitation | via the app | via the app |
| Memory of several maps (floors) | | |
| Voice assistant | Google Assistant, Amazon Alexa, Apple Siri | Google Assistant, Amazon Alexa, Apple Siri |
Nozzles included | ||
| Attachment functions | side brush turbo brush | side brush turbo brush |
Docking station | ||
| Charging station | + | + |
Power source | ||
| Battery type | Li-Ion | Li-Ion |
| Battery capacity | 5.2 Ah | 5.2 Ah |
| Operating time | 280 min | 280 min |
| Charging time | 5 h | 5 h |
General | ||
| Noise level | 60 dB | 60 dB |
| Dimensions (HxWxD) | 9.68x35x35 cm | 9.68x35x35 cm |
| Weight | 3.6 kg | 3.6 kg |
| Color | ||
| Added to E-Catalog | april 2023 | april 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.
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