Xiaomi Mi Vacuum robot vacuum cleaners are no longer just βwheel vacuum cleanersβ; modern models are equipped with laser rangefinders (LDS), infrared sensors and, of course, cameras. But why do the latter need a camera when they already have other navigation systems?
In fact, the camera in Xiaomiβs robot vacuum cleaners performs several critical tasks, from improving cleaning accuracy to recognizing specific objects.
- π How the camera helps build indoor maps and why it is better LDS in some scenarios
- π« What obstacles it recognizes (and why it saves your belongings from being "absorbed" by a vacuum cleaner)
- π± How camera integration improves control through the Mi Home app
- π Are privacy risks real and how to minimize them?
- π‘ Hidden features that are not mentioned in the manual (e.g. night lighting or pet recognition).
If you think the camera is just a marketing ploy, you may change your mind after reading this article, and if youβre already using the Xiaomi Mi Vacuum with a camera, youβll learn how to use it 100 percent.
Mapping the room: why is the camera more accurate than a laser?
The main function of the camera in Xiaomi robot vacuum cleaners is to help build the 3D- map of the room. Unlike laser rangefinders (LDS), which scan space in one plane, the camera captures volumetric objects, textures and even colors.
- π More precisely define the boundaries of furniture (e.g., low sofas or chairs with legs);
- πͺ Recognize βtransparentβ obstacles (glass tables, mirrors) that LDS often ignores;
- π Faster adaptation to changes in the room (repositioned furniture, new items).
Example: in the Xiaomi Mi Robot Vacuum-Mop 2 Pro, the camera works with the LDS to create a hybrid map, the laser is responsible for the overall dimensions of the room, and the camera specifies details β for example, detects a fringed carpet that can wind on a brush, without which the robot could get stuck or damage the coating.
The camera also helps you navigate floors, so if you take the vacuum cleaner to another level (like the first floor to the second floor), it will quickly "understand" that it's a new space, and it won't try to match the maps.
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The camera does not replace the LDS, but complements it β together they give a 30% more accurate map than each module individually (Xiaomi test data).
2. Obstacle recognition: what does the robot see and what does not?
One of the most useful features of the camera is to identify objects that can interfere with cleaning or damage the vacuum cleaner itself.
| Type of obstacle | How the camera recognizes him | The robot's action |
|---|---|---|
| Wires, cords. | In shape and texture (long thin objects) | It's passing or stopping. |
| Shoes, slippers. | Color and volume (often contrasting with gender) | Passes or pushes neatly |
| Domestic animals | Motion and thermal signature (in some models) | Slowing down or stopping |
| Meadows, spilled liquids | By reflecting the light (wet spots shine) | He's going around and sending a notification. |
However, the camera also has blind spots:
- π Dark corners or rooms with poor lighting (solved by backlighting in some models);
- πΌοΈ Very thin objects (e.g., a sheet of paper on the floor)
- πͺ Transparent glass without frames (may attempt to pass through them).
Importantly, if you have a black floor in your home (like a dark laminate), the camera may be less able to recognize small objects on it, in which case the sensor sensitivity setting in the Mi Home app helps.
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Before cleaning, turn on bright lights in the room β this will improve the cameraβs detection of obstacles by 20-25%.
Integration with the Mi Home app: how does the camera make it easier to control?
The camera not only helps the robot navigate, but also makes interaction with it more intuitive for the user. In the Mi Home app, you can:
- πΈ View camera photo reports (e.g., if the vacuum cleaner is stuck and you need to figure out why);
- π― Assign cleaning zones directly to the room photo (instead of abstract rectangles on the map)
- π« Put virtual barriers to temporary obstacles (e.g., children's toys).
Example: in the Xiaomi Mi Robot Vacuum-Mop 2 Ultra, the camera transmits to the app a real image of the room with a superimposed cleaning map, which allows you to more accurately identify areas where you need to vacuum or wash the floor, just by tapping on the photo.
In addition, the camera is used for the function "Search for a robot." If the vacuum cleaner is lost (for example, rolled under the sofa), you can send a command to turn on the beep + flashing backlights, and the camera will help you to orient where exactly it is.
How to include photo reports in Mi Home?
4.Privacy: Who can see your photos and when?
The main fear of users: "Isn't the camera of the robot vacuum cleaner spying on me?" Let's understand how Xiaomi solves the issue of privacy:
β οΈ Warning: By default, the Xiaomi Mi Vacuum does not transfer photos from the camera to external servers. All data is stored locally on the robot or in the Mi Home app on your smartphone.
- π If you use cloud management (e.g. voice commands via Google Assistant or Alice), the space map metadata may be temporarily stored on Xiaomi servers.
- π When updating the firmware, the robot can send anonymized data about obstacles to improve the algorithms (this can be disabled in the settings);
- π± If your smartphone is hacked, an attacker could theoretically access photo reports via Mi Home.
How to defend yourself:
- Turn off Cloud Synchronization in the robot settings;
- Use two-factor authentication in your Mi Account.
- Regularly update the firmware β new versions often close vulnerabilities.
In models 2023+ (for example, Xiaomi Mi Vacuum X20) added the function βPrivacy Modeβ β the camera automatically turns off when the robot is in the bedroom or bathroom.
5 Hidden camera capabilities: what is not written in the instructions
In addition to the basic features, the camera in Xiaomi Mi Vacuum can be used in non-obvious ways:
- π Pet Recognition: Some models can distinguish a cat from slippers and do not scare the pet (included in Settings β Object Recognition);
- π Night lighting: The camera is equipped with IR lighting, which helps to navigate in the dark (useful for night cleaning);
- π¦ Search for lost items: If you drop a small object (like an earring), you can view the photo reports of the vacuum cleaner for the day.
- πͺ Door/window control: The camera detects open doors and can send a notification (e.g., if you forgot to close the balcony).
Interesting life hack: if you have a Xiaomi Mi Vacuum with a camera and a Yeelight smart lamp, you can configure automation through Mi Home:
If the robot detects motion in a dark room β then turn on the lamp by 30%This is useful if the vacuum cleaner works at night and you need to light the way.
Make sure the firmware of the robot is updated |Enable "Advanced settings" in Mi Home|Activate "Object Recognition Mode" |Check the work in test mode-->
6. Which Xiaomi Mi Vacuum models are equipped with a camera?
Not all Xiaomi robot vacuum cleaners have a camera, and here is the current list of models (2026) with this module:
| Model | Type of camera | Additional functions | Year of release |
|---|---|---|---|
| Mi Robot Vacuum-Mop 2 Pro | RGB + ToF (3D) | Obstacle recognition, photo reports | 2022 |
| Mi Robot Vacuum-Mop 2 Ultra | RGB + IR illumination | Automatic brush washing, night mode | 2023 |
| Xiaomi Mi Vacuum X20 | Double camera (wide angle) | Privacy Mode, Animal Recognition | 2023 |
| DreameBot X30 Ultra* | 4K- Camera with zoom | Real-time video broadcast | 2026 |
DreameBot is a Xiaomi sub-brand that is compatible with the Mi Home ecosystem.
If you choose a robot vacuum cleaner and doubt whether you need a camera, focus on your tasks:
- π‘ For a large apartment with a complex layout, a camera is mandatory - it will accelerate mapping;
- πΆ If there are animals or children in the home, the camera will help avoid collisions.
- π If privacy is critical, select a model with a physical shutter on the camera (e.g., X20).
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The camera adds ~15-20% to the cost of a robot vacuum cleaner, but saves cleaning time and reduces the risk of breakdowns due to obstacles.