Imagine a world with self-driving devices that harness multi-input navigation to safely traverse terrains that are sometimes unpredictably littered with debris and puddles. These sleek machines use cutting-edge lasers and cameras to gather data in real time. They optimize routes to avoid getting tangled in dangling wires and react fast to stray animals and errant toddlers.
If you're picturing a self-driving car, think again. This is the Roborock Qrevo Slim robot vacuum.
Welcome to a new era of smart cleaning, one that prizes seamless navigation and obstacle avoidance. These aren't the robot vacuums that bumped into the corners of a room like non-player characters in a Nintendo 64 video game. The ultra-thin Qrevo Slim is equipped with 3D time-of-flight (ToF) technology, which enables it to measure the distance between a sensor and an object. This creates an intricate map of your home to avoid objects and interruptions while giving your floors a spotless clean.
The Qrevo Slim is only 8.2 centimeters tall, which means it can slide under beds, sofas and cabinets. This is unlike many taller robot vacuums on the market now, which get turned away from cleaning the dusty low-clearance corners of your home. The Qrevo Slim is also one of the thinnest robot vacuums to pack a powerful dual-light 3D ToF system (more on that below).
The vacuum pairs 11,000 Pa of HyperForce suction with 20-rpm dual-spinning mop to clean hardwood, tile and carpets. Roborock boasts a 99% hair pick-up rate on this surface, which is especially attractive for pet owners. The FlexiArm technology utilizes an asymmetrically shaped side brush to push hair to the ends of long bristles and into the path of another main brush before it gets swallowed away.
For the last five years, Roborock has worked with industry-leading companies to develop 3D ToF technology for pinpoint precision in recognizing obstacles. It's what powers the StarSight Autonomous System. Here's how it works: The Qrevo Slim shoots laser pulses in the direction of an object in the room, then uses an infrared camera sensor to measure the round-trip of the reflected light. This lets the vacuum sketch out an object's precise outline. It's what self-driving cars can use so they don't get into accidents. (Some of the most popular self-driving cars only use vision-based navigation.)
The Qrevo Slim uses a sampling rate of 28,400Hz, which is 21 times higher than traditional Laser Distance Sensor (LDS) technology. The vacuum gathers detailed information on both the height and depth of an environment. That means it won't get stuck on a shoe and can weave between the thin legs of your dining table chairs. And you won't have to adjust the arrangement of your couch, coffee table and house plants to keep your robot vacuum on track.
The system – a dual light solid-state LiDAR, or light detection and ranging – is fueled by 21,600-sensor points that recognize 73 types of obstacles. (You know, everything from balled-up paper to power strips to floor mirrors). It also uses an RGB camera for visual recognition. Roborock's internal tests showed three times the accuracy of competitors when spotting and avoiding 3cm x 3cm square building blocks.
With all that information processing, you might think that the Qrevo Slim drains its battery faster than an outdated smartphone. But that's not the case. The internal process is streamlined, meaning there are less computational demands. This intelligent vacuum will not lose juice.
Sophisticated technology like this that uses cameras and gathers data, may give some users concerns about privacy. After all, the vacuum does use facial recognition so it doesn't charge toward unsuspecting humans and we are talking about mapping the rooms you likely spend the most time in. But Roborock says this is one of the only robot vacuums withs "certified security and privacy safeguards."
Get the Qrevo Slim today at Roborock and if you buy it through December 2, you'll save $400. With its slim design and futuristic technology, the Qrevo Slim will have you wondering why more self-driving cars don't adopt this technology.
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