May 15, 2018 · The Vision Behind Cat® Next Generation Excavators. May 15, 2018. During the first ground-up redesign of our hydraulic excavators in 25 years, the product team did its homework and interviewed more than 1,000 customers worldwide. And what they heard from customers was very clear: "Caterpillar, please help me.'".
Get a quoteOct 01, 2021 · Considering that the excavator working stages are a type of sequence data with long-term dependence and the need for a low-cost hardware configuration [6,7,29,30], three machine learning algorithms, namely LSTM, RNN, and LIBSVM, were used to establish the working stage identification model with an acceptable accuracy and speed. The influence of
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Get a quoteOct 07, 2020 · With a deep learning algorithm trained to understand what an excavator is or what a wheel loader looks like, it could look at a real-time video feed and say, "Okay, the excavator is here." Add in a database of license plates or other identifiers, and the algorithm can know if a specific excavator is here for a specific job.
Get a quoteStandard/Full-Size Crawler Excavators (10 – 90 metric tons; or 22,046 – 198,416 pounds): This category represents the widest spectrum of excavators available on the market today. It includes a few zero and near-zero/minimum swing radius machines in the lower weight classes, but the majority of these machines are full-sized, full-featured
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Get a quoteGuide To Excavator Attachments Learn about the various attachments that can enhance an excavator in multiple industrial applications. This Article Includes. Excavators are the Most Versatile Type of Heavy-Equipment; HAWK Vision, Amphibious Undercarriages & Sectional Barges
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Get a quoteJun 30, 2021 · Baidu, UMD Introduce First Autonomous Excavator That Can Perceive Complex Terrain. Researchers from Baidu Research Robotics and Auto-Driving Lab (RAL) and the University of Maryland, College Park (UMD) have developed a real-time mapping approach for autonomous navigation of excavators on complex terrains, named Terrain Traversability Mapping (TTM).Using TTM, an …
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Get a quoteMay 12, 2021 · Excavation is one of the broadest activities in the construction industry, often affected by safety and productivity. To address these problems, it is necessary for construction sites to automatically monitor the poses of excavator manipulators in real time. Based on computer vision (CV) technology, an approach, through a monocular camera and marker, was proposed to estimate the pose
Get a quoteJuxiang Machinery is a modern & tech-driven enterprise in Yantai, professional in R&D, manufacturing and sales of excavator front end fittings and breaking hammer shells, founded in 2008. Our existing plant covers an area of more than 20,000 square meter, with over 40 sets of large-scale machining equipment and a dozen of senior professionals.
Get a quoteJuxiang Machinery is a modern & tech-driven enterprise in Yantai, professional in R&D, manufacturing and sales of excavator front end fittings and breaking hammer shells, founded in 2008. Our existing plant covers an area of more than 20,000 square meter, with over 40 sets of large-scale machining equipment and a dozen of senior professionals.
Get a quoteThe generated dataset is used to train a network model based on deep learning, while analyzing only excavator activity and action prediction. Fang et al. [ 22 ] developed a monocular vision technology that combines semantics and prior knowledge to locate architectural entities, using deep learning algorithms to segment the instances in the
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