Robust pedestrian detection and path prediction using mmproved YOLOv5 [PDF]
, 2022 In vision-based surveillance systems, pedestrian recognition and path prediction are critical concerns. Advanced computer vision applications, on the other hand, confront numerous challenges due to differences in pedestrian postures and scales, backdrops,
Gawande, Ujwalla +2 more
core +1 more source
Risk assessment method for external breakage of overhead lines in mining areas
Gong-kuang zidonghua, 2023 The operating environment of overhead lines in mining areas is harsh. The lines are easily affected by external factors, leading to line breakage. It is necessary to accurately evaluate the risk level of external breakage of overhead lines in mining ...
LIU Zhenguo +3 more
doaj +1 more source
Real-Time YOLO Based Ship Detection Using Enriched Dataset [PDF]
Iranian Journal of Electrical and Electronic Engineering, 2023 We propose a real-time Yolov5 based deep convolutional neural network for detecting ships in the video. We begin with two famous publicly available SeaShip datasets each having around 9,000 images.
A. Ataee, S. J. Kazemitabar
doaj
Pick-and-place application using a dual arm collaborative robot and an RGB-D camera with YOLOv5 [PDF]
, 2023 Nowadays, many industries use robots and cameras in tandem to detect specific objects and perform specific tasks. However, misdetection can occur due to inconsistencies in lighting, background, and environment.
Kijdech, Dumrongsak +1 more
core +3 more sources
Analysis of player tracking data extracted from football match feed
Revista Română de Informatică și Automatică, 2023 Data analytics and AI have become extremely relevant in today’s football landscape. Data is benefiting clubs in gaining a competitive advantage on and off the field by empowering them to harvest information for improving player performance, decreasing ...
Swetha SASEENDRAN +3 more
doaj +1 more source
Improved GBS-YOLOv5 algorithm based on YOLOv5 applied to UAV intelligent traffic
Scientific Reports, 2023 Abstract As the road traffic situation becomes complex, the task of traffic management takes on an increasingly heavy load. The air-to-ground traffic administration network of drones has become an important tool to promote the high quality of traffic police work in many places.
Haiying Liu +5 more
openaire +3 more sources
Deep Learning Based Steel Pipe Weld Defect Detection
Applied Artificial Intelligence, 2021 Steel pipes are widely used in high-risk and high-pressure scenarios such as oil, chemical, natural gas, shale gas, etc. If there is some defect in steel pipes, it will lead to serious adverse consequences.
Dingming Yang +3 more
doaj +1 more source
DS-YOLOv5: A real-time detection and recognition model for helmet wearing
工程科学学报, 2023 Automatic detection and recognition of safety helmet wearing based on video analysis is important to ensure production safety. It is inefficient to supervise whether workers wear safety helmets by manual means.
Peirui BAI +6 more
doaj +1 more source
Automated surface defect detection in metals: a comparative review of object detection and semantic segmentation using deep learning [PDF]
, 2021 IEEE Industry Applications Society Annual Meeting (IAS) (56th. 2021. Virtual)This work has been partially funded by the project RTI2018-094849-B-I00 of the Spanish National Plan for Research, Development and ...
Díaz Pedrayes, Óscar +3 more
core +1 more source
CHEATING DETECTION IN ONLINE EXAMS BASED ON CAPTURED VIDEO USING DEEP LEARNING [PDF]
, 2023 Today, e-learning has become a reality and a global trend imposed and accelerated by the COVID-19 pandemic. However, there are many risks and challenges related to the credibility of online exams which are of widespread concern to educational ...
Alkalbani, Aysha Sultan
core +1 more source