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- ArticleSeptember 2024
Leveraging YOLO for Real-Time Video Analysis of Animal Welfare in Pig Slaughtering Processes
- Christian Beecks,
- Anandraj Amalraj,
- Alexander Graß,
- Marc Jentsch,
- Felix Kitschke,
- Maximilian Norz,
- Patric Schäffer
KI 2024: Advances in Artificial IntelligencePages 275–281https://doi.org/10.1007/978-3-031-70893-0_20AbstractArtificial intelligence has empowered digitalization into a new era of intelligent systems. Machine learning solutions are being tailored to various application scenarios, leading to automated functionalities along complex real-world processes. In ...
- research-articleSeptember 2024
Real-time lightweight drone detection model: Fine-grained Identification of four types of drones based on an improved Yolov7 model
AbstractRecently, the rapid progress of artificial intelligence has enhanced the human-robot relationship through the development of several autonomous robots; such as drones. The overwhelming rise of drones has brought both relevant advantages and ...
- research-articleAugust 2024
YOLO9tr: a lightweight model for pavement damage detection utilizing a generalized efficient layer aggregation network and attention mechanism
Journal of Real-Time Image Processing (SPJRTIP), Volume 21, Issue 5https://doi.org/10.1007/s11554-024-01545-2AbstractMaintaining road pavement integrity is crucial for ensuring safe and efficient transportation. Conventional methods for assessing pavement condition are often laborious and susceptible to human error. This paper proposes YOLO9tr, a novel ...
- research-articleAugust 2024
Enhanced Bot Game for a Massively Multiplayer Online Role-Playing Game (MMORPG) Using Object Detection
AbstractThe increasing prevalence of the internet has fueled the global expansion of massively multiplayer online role-playing games (MMORPGs), attracting a vast player base. However, players often face time constraints while striving to progress in these ...
- ArticleAugust 2024
AYOLOv8: Improved Detector Based on YOLOv8 to Focus More on Small and Medium Objects
Advanced Intelligent Computing Technology and ApplicationsPages 85–97https://doi.org/10.1007/978-981-97-5594-3_8AbstractObject detection has gradually become one of the essential technologies in the field of artificial intelligence. YOLOv8 is a popular version of YOLO series and has attracted the attention of scholars due to its excellent detection performance. ...
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- ArticleAugust 2024
Lightweight Coal Flow Foreign Object Detection Algorithm
Advanced Intelligent Computing Technology and ApplicationsPages 393–404https://doi.org/10.1007/978-981-97-5588-2_33AbstractIn response to the challenges of foreign object detection and high real-time requirements in complex coal mine monitoring scenarios, a lightweight coal flow foreign object detection algorithm, FAI_YOLO, was developed based on YOLOv8s, which ...
- ArticleAugust 2024
ISE-UFDS: A Dataset for Detecting the Degree of Danger to Vehicles in Urban Flooding and Performance Assessment
Advanced Intelligent Computing Technology and ApplicationsPages 402–413https://doi.org/10.1007/978-981-97-5600-1_35AbstractAs global warming and urbanisation continue to accelerate, resulting in the increasing likelihood and uncertainty of extreme rainstorms and floods, how to detect things in flooding scenarios and implement relevant rescue measures has become an ...
- research-articleAugust 2024
Fracture Detection in Bone: An Approach with Versions of YOLOv4
AbstractRadiologists can sometimes overlook fractures because they are difficult to spot. A vast number of studies of deep learning on images have provided interesting applications to medical data analysis, with significant improvements in image-based ...
- research-articleJuly 2024
A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces
- Salama A. Mostafa,
- Sharran Ravi,
- Dilovan Asaad Zebari,
- Nechirvan Asaad Zebari,
- Mazin Abed Mohammed,
- Jan Nedoma,
- Radek Martinek,
- Muhammet Deveci,
- Weiping Ding
Information Sciences: an International Journal (ISCI), Volume 676, Issue Chttps://doi.org/10.1016/j.ins.2024.120865AbstractAutomating face mask detection in public areas is paramount to maintaining public health, especially in the context of the COVID-19 pandemic. Utilization of technologies such as deep learning and computer vision systems enables effective ...
- research-articleJuly 2024
YOLO-based microglia activation state detection
The Journal of Supercomputing (JSCO), Volume 80, Issue 16Pages 24413–24434https://doi.org/10.1007/s11227-024-06380-7AbstractRecognition of microglia activation state is required in the research of problems such as brain neurological diseases. In this paper, a novel recognition network based on YOLOv5 is proposed for microglia activation state recognition. Firstly, the ...
- research-articleSeptember 2024
Detecting UAV Target with Deep Convolutional Neural Network
IECC '24: Proceedings of the 2024 6th International Electronics Communication ConferencePages 11–18https://doi.org/10.1145/3686625.3686628Over the past years, Convolutional Neural Networks (CNNs) have emerged as widely used techniques for tackling various computer vision challenges, with image detection being a popular application. The performance of CNNs in object detection has rapidly ...
- research-articleJuly 2024
Underwater small and occlusion object detection with feature fusion and global context decoupling head-based YOLO
AbstractThe underwater light scattering, absorption, and camera or target moving often bring issues such as blurring, distortion, and color deviation in underwater imaging, which poses significant challenges to underwater target detection. Numerous ...
- research-articleJuly 2024
Fault detection system for paper cup machine based on real-time image processing
Engineering Applications of Artificial Intelligence (EAAI), Volume 133, Issue PAhttps://doi.org/10.1016/j.engappai.2024.108070AbstractIn the production of paper cups in industrial factories, it is tried to print high quality cups with less waste loss with the help of sensors and heating resistances mounted on the paper cup machine. In this study, a system that detects faulty ...
- research-articleJuly 2024
SwinYOLOv7: Robust ship detection in complex synthetic aperture radar images
AbstractUsing satellite-based SAR (Synthetic Aperture Radar) imagery to detect and track ships is a formidable challenge. However, accurate analysis is hampered by inherent difficulties such as obscured edges, multiple targets, varying dimensions and ...
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Highlights- A new version of YOLOv7 model was developed based on Swin Transformer.
- Different data sources were used for training and testing new model for ship detection.
- The performance of new model was compared with other 18 older models.
- research-articleJuly 2024
Applying deep learning to real-time UAV-based forest monitoring: Leveraging multi-sensor imagery for improved results
Expert Systems with Applications: An International Journal (EXWA), Volume 245, Issue Chttps://doi.org/10.1016/j.eswa.2023.123107AbstractRising global fire incidents necessitate effective solutions, with forest surveillance emerging as a crucial strategy. This paper proposes a complete solution using technology that integrates visible and infrared spectrum images through Unmanned ...
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Highlights- Real-time detection using UAVs for people and cars in forests based on deep learning.
- 4-channel object detection model with RGB and IR, for low-visibility environments.
- A new annotated and aligned image dataset with four channels (...
- research-articleJune 2024
FitSight: Tracking and Feedback Engine for Personalized Fitness Training
UMAP '24: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and PersonalizationPages 223–231https://doi.org/10.1145/3627043.3659547Physical fitness presents a significant challenge in ensuring proper exercise posture. Individuals who work out need help maintaining correct exercise posture during their workouts. Maintaining correct form is critical for ensuring the safety and ...
- research-articleJune 2024
ARF-YOLOv8: a novel real-time object detection model for UAV-captured images detection
Journal of Real-Time Image Processing (SPJRTIP), Volume 21, Issue 4https://doi.org/10.1007/s11554-024-01483-zAbstractThere are several difficulties in the task of object detection for Unmanned Aerial Vehicle (UAV) photography images, including the small size of objects, densely distributed objects, and diverse perspectives from which the objects are captured. To ...
- research-articleJuly 2024
MLP-based multimodal tomato detection in complex scenarios: Insights from task-specific analysis of feature fusion architectures
Computers and Electronics in Agriculture (COEA), Volume 221, Issue Chttps://doi.org/10.1016/j.compag.2024.108951Highlights- Proposed a multimodal fusion encoder utilizing two-stage RGB-D-NIR fusion.
- Analyzed the contributions of MLP, ViT, and CNN-based architectures to the detection performance.
- Developed deployment-suitable YOLO-DNA with better ...
Accurate and efficient tomato detection is essential for the practical deployment of robotic picking in practical agricultural applications, but it still remains significantly challenging to detect tomatoes in complex scenarios with fluctuating ...
- research-articleJuly 2024
TD-YOLO: Taylor-Attention based Dehazing for Enhanced YOLO Detection Performance
CNIOT '24: Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of ThingsPages 334–340https://doi.org/10.1145/3670105.3670161Object detection methods have demonstrated remarkable performance on conventional datasets. However, their susceptibility to degraded visibility in hazy weather remains a significant limitation, e.g., in maritime object detection applications. The ...