Suchergebnisse - "Object Detection Algorithms"

Pavement distress detection using convolutional neural networks with images captured via UAV von Zhu, Junqing, Zhong, Jingtao, Ma, Tao, Huang, Xiaoming, Zhang, Weiguang, Zhou, Yang

“… Pavement distress detection is crucial in the decision-making for maintenance planning. Unmanned aerial vehicles (UAVs) are helpful in collecting pavement …”
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Research progress in globular fruit picking recognition algorithm based on deep learning von LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“… China is a global leader in fruit production, and fruit picking mainly relies on manual labor, which helps to select fruits according to fruit size and quality …”
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Detection and classification of enhanced periapical lesion images with YOLO algorithms von Akalin, Fatma, Yildiz, Tuğçenur

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Novel Robotic Arm Working-Area AI Protection System von Lee, Jeng-Dao, Jheng, En-Shuo, Kuo, Chia-Chen, Chen, Hong-Ming, Hung, Ying-Hsiu

“… From traditionally handmade items to the ability of people to use machines to process and even to human-robot collaboration, there are many risks. Traditional …”
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Target image detection algorithm of complex road scene based on improved multi-scale adaptive feature fusion technology von Xu, Zhaosheng, Liao, Zhongming, Xiao, Xiaoyong, Ahmad, Suzana, Mat Diah, Norizan, Ismail, Azlan

“… Understanding road scenes is crucial to the safe driving of autonomous vehicles, and object detection in road scenes is necessary to develop driving assistance …”
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RPEE-Heads Benchmark: A Dataset and Empirical Comparison of Deep Learning Algorithms for Pedestrian Head Detection in Crowds von Abubaker, Mohamad, Alsadder, Zubayda, Abdelhaq, Hamed, Boltes, Maik, Alia, Ahmed

“… The automatic detection of pedestrian heads in crowded environments is essential for crowd analysis and management tasks, particularly in high-risk settings …”
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APF-YOLOV8: Enhancing Multiscale Detection and Intra-Class Variance Handling for UAV-Based Insulator Power Line Inspections von Aitelhaj, Rita, Benelmostafa, Badr-Eddine, Medromi, Hicham

“… Background UAV-based power line inspections offer a safer, more efficient alternative to traditional methods, but insulator detection presents key challenges: …”
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Pose detection in complex classroom environment based on improved Faster R-CNN von Tang, Lin, Gao, Chenqiang, Chen, Xu, Zhao, Yue

“… Pose detection of small targets in poor imaging conditions like heavy occlusion and low resolution is still an open and challenging task in computer vision …”
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RLD-Net: an enhanced deep learning model for accurate pavement distress detection using UAV captured images von Cheng, Huisheng, Zhang, Junfei, Yan, Haohui, Wang, Yuhang, Li, Dong

“… Accurate detection of pavement distresses, particularly cracks, is crucial for road maintenance and safety. However, traditional pavement damage detection …”
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Object Detection Approaches in Images: A Weighted Scoring Model based Comparative Study von Ouchra, Hafsa, Belangour, Abdessamad

“… Computer vision is a branch of artificial intelligence that trains computers to acquire high-level understanding of images and videos. Some of the most …”
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Analysis and Trends on Moving Object Detection Algorithm Techniques von Guzman Pando, Abimael, Chacon Murguia, Mario Ignacio

“… This paper presents a survey on dynamic object detection in video sequences. Many methods have been proposed during several years that intent to solve the …”
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Machine Vision-Based Driver Distraction Detection and Recognition von Xie, Xiao, Zhang, Hong

“… This paper presents a driver distraction detection method based on the improved YOLOv11n model. The proposed method incorporates several optimization modules …”
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Training Object Detection Algorithms for Vehicle Type Classification from Public CCTV Camera by Using Custom Dataset von Inrawong, Prajuab, Kupimai, Mongkol, Sa-nga-ngam, Wuttichai, Tasuntia, Kritsada, Jariyatum, Trairat, Choohirunwat, Phongpraphat

“… Computer vision technology has gained popularity and been widely applied across various fields. Object detection algorithms are pivotal in these applications …”
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Revolutionizing Fire Detection: Unleashing the Power of YOLOv8 Algorithm for Accurate Image Recognition von Wu, Zhipan, Lan, Yukai, Chung, Kwok L.

“… Fire incidents present a significant threat to human safety and property, emphasizing the need for highly effective detection methods. This study introduces a …”
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An examination of the methods and filter used for detecting objects in reading images von Narayanan, S. Sankara, Ahamed, S. Sarfraj, Karthick, R. Loganath, Gowsalya, P. Swarna, Dhivya, G., Indira, K.R.

“… Image processing is a key technique that is widely used worldwide. It involves converting an image to digital form and installing specific operations on it in …”
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Personal Protective Equipment Detector Using Computer Vision von M, Prabha, M, Karuppasamy, P, Saraswathi, K, Poorani, S, Aswin Kumar

“… In an era of enormous global health issues, appropriate personal protective equipment (PPE) use is critical. This study presents a revolutionary solution for …”
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Vehicle-Mounted Road Damage Detection Method Using YOLOv5s Framework von Qian, Wenjie, Chen, Si, Huang, Youxiang, Xu, Xiaohu, Shi, Feng, Wan, Hong, Lu, Zhiyu

“… Timely detection and accurate recognition of road damage are crucial for road maintenance and traffic safety. Traditional road damage inspection methods, such …”
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Towards Active Vision with UAVs in Marine Search and Rescue: Analyzing Human Detection at Variable Altitudes von Qingqing, Li, Taipalmaa, Jussi, Queralta, Jorge Pena, Gia, Tuan Nguyen, Gabbouj, Moncef, Tenhunen, Hannu, Raitoharju, Jenni, Westerlund, Tomi

“… Unmanned Aerial Vehicles (UAVs) have been playing an increasingly active role in supporting search and rescue (SAR) operations in recent years. The benefits …”
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Redefining Agricultural Disease Management using AI and ML von B, Venkata Srinivasulu, Dixith, K.Sai, Shivaram, Keerthi, Reddy, Ch.Karthik

“… Precision agriculture is a fast growing field that may contemporary issues surrounding agricultural sustainability are increasingly being addressed through …”
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Proactive Highway Collision Avoidance using YOLOv8 and Ultrasonic Sensors von Kavitha, M., Akshaya, A., Jotheeswaran, K., Kavin, M., Kuppulakshmi, K.

“… The Internet of Things (IoT) has become a key component of vehicle-to-vehicle communication with collision avoidance systems. However, certain vehicle models …”
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