Oraimo LumaSweep Robot Vacuum Cleaner (ORV-501A)
- Brand: Oraimo
- Product Code: 014344
- Availability: In Stock
৳18,949/-
Oraimo LumaSweep Robot Vacuum Cleaner (ORV-501A)
The Oraimo LumaSweep Robot Vacuum Cleaner (ORV-501A) is a smart home cleaning solution designed for users who want powerful automated floor cleaning with minimal effort. Featuring up to 5,000Pa suction power, LiDAR navigation, smart mapping, and app control, this robot vacuum cleaner delivers efficient cleaning performance across hard floors and low-pile carpets. Whether you're dealing with daily dust, pet hair, or fine debris, the Oraimo LumaSweep helps maintain a cleaner living environment with intelligent navigation and precise route planning.
Powerful 5,000Pa Robot Vacuum for Deep Cleaning
Equipped with a high-performance motor, the Oraimo LumaSweep Robot Vacuum Cleaner generates up to 5,000Pa suction power to lift dust, dirt, pet hair, and debris from multiple floor surfaces. The strong suction system makes it an excellent choice for homes that require consistent cleaning performance on tiles, wood flooring, laminate surfaces, and low-pile carpets.
LiDAR Navigation for Accurate Home Mapping
The Oraimo LumaSweep ORV-501A uses advanced LiDAR-based smart navigation technology to scan and map your home with precision. Unlike conventional robot vacuum cleaners that rely on random movement, it creates detailed floor maps and follows optimized cleaning paths to improve coverage while reducing missed areas.
Smart Mapping and Intelligent Route Planning
With built-in smart mapping and smart route planning, the robot vacuum identifies room layouts and automatically selects the most efficient cleaning route. This intelligent cleaning system helps save time and battery power while ensuring every corner of your home receives proper attention.
Smart App Control for Convenient Cleaning Management
Control the Oraimo Robot Vacuum directly from your smartphone through the dedicated app. Schedule cleaning sessions, start or stop cleaning remotely, manage cleaning preferences, and monitor cleaning progress from anywhere. The smart control features make daily floor maintenance more convenient for busy households.
Ideal Robot Vacuum Cleaner for Homes with Pets and Families
Thanks to its powerful suction and large 520ml dust bin capacity, the Oraimo LumaSweep is suitable for homes with pets, children, and high foot traffic. The spacious dust container collects more debris in a single cleaning cycle, reducing the need for frequent emptying and improving overall cleaning efficiency.
Low-Pile Carpet and Hard Floor Cleaning Performance
Designed to handle a variety of floor types, the Oraimo LumaSweep Robot Vacuum Cleaner efficiently cleans hardwood floors, ceramic tiles, vinyl flooring, marble surfaces, and low-pile carpets. Its intelligent navigation system ensures smooth movement between different cleaning zones for comprehensive floor care.
The Oraimo LumaSweep Robot Vacuum Cleaner (ORV-501A) combines powerful 5,000Pa suction, LiDAR smart navigation, app-based control, smart home mapping, and efficient route planning to deliver a modern automated cleaning experience. It is an excellent choice for anyone looking for a smart robot vacuum cleaner that provides powerful cleaning performance, intelligent navigation, and convenient everyday operation.
Buy Oraimo LumaSweep Robot Vacuum Cleaner (ORV-501A) from Brotherhood IT
In Bangladesh, you can get original Oraimo LumaSweep Robot Vacuum Cleaner (ORV-501A) From Brotherhood IT. We have a large collection of latest Oraimo Vacuum Cleaner to purchase. Order online from bhits.com.bd and get yours at the best price with delivery across Bangladesh. The Oraimo LumaSweep Robot Vacuum Cleaner (ORV-501A) comes with 1 year warranty.
Specification
| General Information | ||
| Dust Capacity | 520ml | |
| Dust Type | Dust, dirt, crumbs, hair, pet hair, and carpet debris | |
| Motor Power | 5000Pa | |
| Others | LiDAR navigation | |
| Physical Information | ||
| Color | Black | |
| Material | ABS | |
| Warranty Information | ||
| Warranty | 1 Year | |

