Human Activities Detection using DeepLearning Technique- YOLOv8 [PDF]
Using a mask during the pandemic has occasionally been crucial and difficult. The use of universal masks can greatly lower and possibly even stop the spread of viruses within communities.
Motwani Nilesh Parmanand, S Soumya
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In Situ Identification Method of Maize Stalk Width Based on Binocular Vision and Improved YOLOv8
ObjectiveThe width of maize stalks is an important indicator affecting the lodging resistance of maize. The measurement of maize stalk width has many problems, such as cumbersome manual collection process and large errors in the accuracy of automatic ...
ZUO Haoxuan +5 more
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Design of an Intelligent Energy Management Prototype for an Electric Lighting Network on a Raspberry Pi Board [PDF]
Efficient management of street lighting is crucial for cities seeking to reduce their energy consumption and greenhouse gas emissions. This paper proposes an innovative approach that dynamically adjusts the brightness of streetlights according to two key
Jouahri Mohammed Amine +5 more
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Study on Spark Image Detection for Abrasive Belt Grinding via Transfer Learning with YOLOv8
Aiming to solve the problems of low precision and poor efficiency caused by relying on manual experience during the manual polishing of blades, a multi-view spark image detection method based on YOLOv8 transfer learning is proposed.
Jian Huang, Guangpeng Zhang
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Comparative performance of next-Gen YOLO models for leaf health classification in ornamental species [PDF]
Automated plant disease detection has become an essential application of deep learning, supporting early diagnosis and effective crops and ornamental plant management. Recent advancements in the You Only Look Once (YOLO) family of object detection models
Chowdhuri Swati +4 more
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Cultivation of Litopenaeus vannamei shrimp is an important fishery commodity in Indonesia. Providing the right amount of feed is crucial for optimal shrimp growth. The amount of feed given greatly depends on the measurement of shrimp length.
Erwin Adriono +2 more
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Underwater small objects detection based on self-attention and improved pyramid network
Addressing the challenges of limited feature information and decreased detection accuracy in underwater small object detection tasks due to underwater environmental effects, we propose an underwater small object detection algorithm SF-Bi-YOLOv8 based on ...
DU Ruishan +3 more
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Optimizing YOLOv8 for Real-Time CCTV Surveillance: A Trade-off Between Speed and Accuracy
Real-time video surveillance, especially CCTV systems, requires fast and accurate face detection. Object detection models with slow inference times are ineffective in real-time.
Muhammad Rizqi Sholahuddin +6 more
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Depth-YOLO-based defect detection algorithm for semiconductor bonding leads
Wire bonding, which is a critical step in integrated circuit packaging, interconnects various components and chips to ensure appropriate circuit functionality. Quality inspection directly affects the product yield rates.
Naigong YU, Ao LI, Yi YANG
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Drone-based solar panel inspection using machine learning [PDF]
The paper represents the experimental implementation of a Drone-based solar panel inspection using YOLOv8-based object detection with Ultraviolet sensing for automated and enhanced defect inspection.
Praburam Jiten +2 more
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