Equipping with the water tank will slightly reduce the performance of obstacle crossing. The height of obstacle crossing may be affected by different ground patterns and materials, and the actual results may vary. The test is going as placing the vacuum-mop on a vertical step with a height of 20 mm.
* 20 mm powerful obstacle crossing: Data provided by Dreame laboratory. Obstacles of different shapes, materials, and colors will affect the recognition distance, and the actual performance shall prevail. Place a white wall around the vacuum-mop, and it will reduce the speed when there is a distance of 20 cm between them with the detecting of IR sensor. * 20 cm recognition distance: Data provided by Dreame laboratory. Manually fill the dust compartment with plastic pellets and then pour the plastic pellets into a measuring cup to read the value. * 600 ml large capacity dust compartment: Data provided by Dreame laboratory. Fill the water tank with clean water and then pour the water into a measuring cup to read the value. * 200 ml water tank: Data provided by Dreame laboratory. The vacuum-mop can work out 50 paths every second based on your home environment during the cleaning task.
* 50 paths per second calculation: The data was calculated by the VSLAM algorithm. Based on this algorithm, about 3,000 image feature points are captured per frame, while 10 frames are processed per second, so about 30,000 feature points are gathered per second. * 30,000 image feature points gathering per second: The data was calculated by the VSLAM algorithm. By using the air performance testing equipment, when the Xiaomi Robot Vacuum-Mop 2C is running in the Turbo mode, the maximum vacuum suction force at the air inlet was 2,200 Pa. * 2,200 Pa powerful suction: Data provided by Dreame laboratory.
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