Edge Deep Learning and Computer Vision-Based Physical Distance and Face Mask Detection System Using Jetson Xavior NX [PDF]
, 2022 This paper proposes a fully automated vision-based system for real-time COVID-19 personal protective equipment detection and monitoring. Through this paper, we aim to enhance the capability of on-edge real-time face mask detection as well as improve ...
Abadleh, Ahmad +5 more
core +1 more source
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery
, 2023 Accurately and timely detecting multiscale small objects that contain tens of pixels from remote sensing images (RSI) remains challenging. Most of the existing solutions primarily design complex deep neural networks to learn strong feature ...
Du, Qian +5 more
core +1 more source
Deteksi Objek Menggunakan Metode YOLO dan Implementasinya pada Robot Bawah Air [PDF]
, 2023 Penelitian ini membahas penggunaan berbagai arsitektur model deep learning dalam mendeteksi objek bawah air seperti gerbang, tiang, bola, dan baskom untuk meningkatkan performa robot dalam eksplorasi bawah air dalam konteks kompetisi SAUVC (Singapore AUV
Dikairono, Rudy +2 more
core +2 more sources
Optimized Yolov5s-Im for real-time apple flower detection in drone-based pollination
Smart Agricultural TechnologyAs traditional pollinators face increasing threats from climate change, the development of robotic pollination technology has become imperative, with apple flower detection emerging as a critical component of the technology.
Shahram Hamza Manzoor +10 more
doaj +1 more source
SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection Network
, 2023 The increasing prevalence of unmanned aerial vehicles (UAVs), commonly known as drones, has generated a demand for reliable detection systems. The inappropriate use of drones presents potential security and privacy hazards, particularly concerning ...
Alam, Muhammad Zeshan +6 more
core
HIC-YOLOv5: Improved YOLOv5 For Small Object Detection
2024 IEEE International Conference on Robotics and Automation (ICRA)Small object detection has been a challenging problem in the field of object detection. There has been some works that proposes improvements for this task, such as adding several attention blocks or changing the whole structure of feature fusion networks.
Tang, Shiyi, Zhang, Shu, Fang, Yini
openaire +2 more sources
PENERAPAN DETEKSI KECACATAN BUAH JERUK MENGGUNAKAN MODEL DEEP LEARNING YOLOV5 [PDF]
Penentuan kualitas buah jeruk secara manual cenderung tidak konsisten serta memerlukan waktu dan tenaga yang signifikan. Oleh karena itu, penelitian ini bertujuan untuk merancang sistem otomatis dalam mendeteksi kecacatan buah jeruk dengan memanfaatkan ...
Adianto +4 more
core +2 more sources
Passable Area Evaluation of Tractor Road Based on Improved YOLOv5s and Multi-Factor Fusion
AgricultureThe tractor road, as the core scene for autonomous driving of grain transport vehicles, is unstructured, complex, and obstacle-rich, leading to poor real-time performance and accuracy of joint road and obstacle detection with existing YOLOv5s ...
Qian Zhang +5 more
doaj +1 more source
Detection and Classification of Railway Track Surface Erosion-caused Holes and Scratches Defects Based on YOLOv5s [PDF]
Railway tracks are exposed to various environmental conditions, which can lead to defects that affect the safe operation of trains and potentially cause accidents.
Dimyati, Kaharudin +2 more
core +2 more sources
Child Detection Model Using YOLOv5 [PDF]
, 2023 CCTV surveillance systems have been installed in public locations and are used to search for missing children and fight crime. The Penang City Council has deployed a face recognition CCTV monitoring system.
Ahmad Khalid, Shamsul Kamal +2 more
core +1 more source