Implementing intelligence into machines and devices in the field of science is efficient, and they complete tasks without any involvement of human minds. IoT is a combination of things, intelligence, and networks. It ...
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In power systems, renewable energy type, solar energy is significant in its present utilization and penetration;thus, there is a need for deterministic models for its forecasting. This work aims to develop an effectiv...
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Over the past years, scene text detection based on a segmentation network has progressed substantially due to its pixel-level description, which is more suitable for detecting long text and curved text. However, limit...
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There are many factors that can negatively impact worker safety in manufacturing or industry. In particular, hazards such as contact of workers' hands or other body parts with overheated components can lead to acc...
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ISBN:
(纸本)9798350307573;9798350307566
There are many factors that can negatively impact worker safety in manufacturing or industry. In particular, hazards such as contact of workers' hands or other body parts with overheated components can lead to accidents and production losses. Hot surfaces cannot be seen with the naked eye. To detect hot surfaces, thermal cameras can be utilized in work areas. Placing multiple thermal cameras in large work environments, such as factories, is cost prohibitive, and carrying them is not a solution. This paper proposes an augmented reality-based assistant that visualizes hot surfaces by integrating thermal camera information into augmented reality goggles. The major advantages of the system are twofold: (1) it consists of an untethered mobile hardware platform with a thermal camera that can send information through a wireless connection, (2) the visualization is implemented for augmented reality head-mounted displays that do not require the use of workers' hands, unlike tablet-based augmented reality. Augmenting human sight with thermal vision may also have an impact on other research areas in the future.
As the construction of oil and gas pipelines continues to advance, the safety of pipelines has garnered increasing attention. Pipeline welds represent a crucial factor in ensuring the safe transportation of pipelines ...
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This research proposes a novel method that combines human pose estimation (HPE) and sustainable event classification (SEC), focusing on skeleton and context-aware feature extraction for precise activity recognition th...
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In order to improve the recognition accuracy and recognition speed of traffic signs, a recognition model based on convolutional neural network with high accuracy and fast speed is designed for traffic sign recognition...
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Studying how to quickly and efficiently match LED lights to obtain the standard white light in night mode that required by the national military standard is of great significance to improving the scientific research a...
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Due to the limitations of monitoring equipment in actual non-smoking places and the complexity of the background in public places, the pictures taken often have problems such as too small detection target scale, too l...
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This paper mainly addresses the problem of acoustic domain adaptation of speech recognition models in smart home scenarios, and for the interference problem of home noise on speech recognition, this paper proposes a s...
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