Results 1 to 10 of about 13,805 (234)
Human Activities Detection using DeepLearning Technique- YOLOv8 [PDF]
ITM Web of Conferences, 2023 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
doaj +1 more source
In Situ Identification Method of Maize Stalk Width Based on Binocular Vision and Improved YOLOv8
智慧农业, 2023 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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BL-YOLOv8: An Improved Road Defect Detection Model Based on YOLOv8
Sensors, 2023 Road defect detection is a crucial task for promptly repairing road damage and ensuring road safety. Traditional manual detection methods are inefficient and costly. To overcome this issue, we propose an enhanced road defect detection algorithm called BL-YOLOv8, which is based on YOLOv8s.
Xueqiu Wang +3 more
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Design of an Intelligent Energy Management Prototype for an Electric Lighting Network on a Raspberry Pi Board [PDF]
ITM Web of ConferencesEfficient 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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Optimizing YOLOv8 for Real-Time CCTV Surveillance: A Trade-off Between Speed and Accuracy
JOIN: Jurnal Online Informatika, 2023 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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Study on Spark Image Detection for Abrasive Belt Grinding via Transfer Learning with YOLOv8
SensorsAiming 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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Deep Learning Models for Multi-Part Morphological Segmentation and Evaluation of Live Unstained Human Sperm [PDF]
To perform accurate computer vision quality assessments of sperm used within reproductive medicine, a clear separation of each sperm component from the background is critical. This study systematically evaluates and compares the performance of Mask R-CNN,
Gol Hassani, Mahdieh +3 more
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YOLOv8-ACU: improved YOLOv8-pose for facial acupoint detection
Frontiers in NeuroroboticsIntroductionAcupoint localization is integral to Traditional Chinese Medicine (TCM) acupuncture diagnosis and treatment. Employing intelligent detection models for recognizing facial acupoints can substantially enhance localization accuracy.MethodsThis study introduces an advancement in the YOLOv8-pose keypoint detection algorithm, tailored for facial ...
Zijian Yuan +8 more
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Jurnal Kelautan TropisCultivation 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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CHERRY FRUITLET DETECTION USING YOLOV5 OR YOLOV8? [PDF]
Agriculture 5.0 incorporates autonomous decision-making systems in order to make agriculture more productive. Our study is related to the development of the autonomous orchard monitoring system using unnamed aerial vehicles for automatic fruiting ...
Apeinans, Ilmars +5 more
core +3 more sources