The use of location and instruction markers for multi-path planning enhancement in any set of unmanned aerial systems' tasks is crucial to the coordination and effectiveness of the individual unmanned aerial vehic...
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ISBN:
(纸本)9781510650817;9781510650800
The use of location and instruction markers for multi-path planning enhancement in any set of unmanned aerial systems' tasks is crucial to the coordination and effectiveness of the individual unmanned aerial vehicles (UAVs). This research implements OpenCV algorithms that allow multiple UAVs to use ArUco markers to receive data related to location and instruction for the purposes of multi-path planning. OpenCV algorithms are utilized to develop vision-based solutions that will enhance the real-time capabilities of the UAVs. The final goal for the multi-drone system entails inspecting and surveying objects for structural damage and applying the developed imageprocessingalgorithms to collected images to determine the significance of damage. This project utilizes OpenCV and Python libraries for multi-drone pathway planning by collecting, transmitting, and displaying real-world industrially valuable data over the network infrastructure as an application of Internet of Things (IoT).
Constant complicating of wars due to considerable development of military weapon and moving to new generation of warfare led to a significant change in means of it. More and more armed forces involve AI into solving a...
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In recent years, with the development of deep learning (DL) technology and the continuous improvement of algorithms, DL-Assisted diagnosis systems based on medical images have rapidly developed. Compared with traditio...
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Most of the current existing style transfer methods are based on photographs or Western paintings. Due to the inherent differences between Chinese and Western paintings, direct application of existing algorithms canno...
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Flower image classification poses a challenge in digital imageprocessing, requiring effective methods for feature extraction and classification. The aim of this research is to improve the accuracy of flower image cla...
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In this era of digitalization, the massive increase in available data leads to great potential for advancing various domains. However, the available data, such as images, videos, and speech signals, generally lie in h...
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Intelligentization of the film and television post-production based on the complex imageprocessing and scene switching algorithms is studied in the paper. At present, the film and television media is in a period of r...
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Skin melanoma, a dangerous kind of skin cancer, necessitates accurate identification and diagnosis to improve patient outcomes. The use of deep learning algorithms into medical imaging promises significant advancement...
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An inventive program called Jargon Lens was created to meet the various language requirements of international visitors. AI-enhanced image translation technology, jargon lens empowers travelers to effortlessly overcom...
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As the world is becoming more visually oriented, visually impaired people are struggling to access and understand visual content. This paper aims to represent the model created to assist blind and visually impaired pe...
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