Leave the sanitary cleaning to the i-mop for a spotless finish. The i-mop family cleans up to 70% faster than conventional wet mopping and up to 30% faster than conventional auto scrubbing. Curious how much you could save on an annual basis?

Remove more surface soil than traditional mop and bucket cleaning with the i-mop XL Plus’ balanced weight distribution and twin counter-rotating brushes. Increase productivity, minimize foot traffic disruptions, create a more inviting facility and reduce the risk of slip and fall injuries with improved cleaning performance versus manual mopping.

Images are resized with the image crate as blocking tokio tasks. In short, here is what imop provides: stand alone static file server; support for resizing images; support for async file compression; flexible usage and highly extendable as a library warp filter for async compression based on content type; warp filter for image resizing

Cleans 75% faster than conventional mopping and 20% faster than equal size scrubber dryers proven by cleaning rates of up to 1300 m2/h. Twin counter-rotating brushes make surfaces 90% cleaner than a mop and bucket, proven by ATP tests.

Exceed cleaning standards with the simple, mechanized cleaning capabilities of the i-mop® Lite. Its combination of compact design and efficiency make it ideal for tight spaces and obstacles while making it transportable and easy to use for almost any operator. TALK TO US. Performances improved down to the last detail.

Paste an image or drag and drop a file onto this page. ImgOps is a meta-tool: 1.) Enter an image. 2.) Choose an online image utility.

The Depo-Net architecture employs two distinct yet complementary encoder paths: the RepFViT path (Fig.\ref{image_Depo}(a)), tailored to capture localized spatial features, and the MaxViT path (Fig.\ref{image_Depo}(b)), suited for global dependency modeling across extended regions.

Super easy to unpack, setup and start using your i-mop! Applications: The i-mop can be used on basically any indoor or outdoor hard floor surface such as vinyl, ceramic tiles, porcelain, natural stone, travertine, marble, granite, slate, terracotta, timber, concrete.

The proposed SASAN is an innovative 3D medical image segmentation network that integrates spectrum information. It achieves state-of-the-art performance over 13 previous methods on the CMED and OIMHS datasets.

2024年6月5日 · 我们提出了 IMOP，这是一种用于机器人操作的one-shot imitation learning algorithm ，它学习通用策略，不仅在基础任务上成功，而且还使用单个未注释演示推广到新任务。 提出了一种基于对应的操作任务姿态回归方法，该方法通过匹配关键视觉元素来预测机器人的动作，在KNN图上连接演示和测试场景的基于图的不变区域匹配网络。 （本质上只有2这一点创新） 我们对IMOP在不同任务集上的 性能 和泛化能力进行了彻底的实证研究。 （有sim有real） 实现 …