A novel algorithm for mask detection and recognizing actions of human
Face recognition has become a significant challenge today since an increasing number of
individuals wear masks to avoid infection with the novel coronavirus or Covid-19. Due to its …
individuals wear masks to avoid infection with the novel coronavirus or Covid-19. Due to its …
Adaptive headlamps in automobile: A review on the models, detection techniques, and mathematical models
Driving at night with traditional headlamps poses significant threats, with many accidents
occurring during the night because of temporary blindness caused by the headlights of the …
occurring during the night because of temporary blindness caused by the headlights of the …
Let the blind see: an AIIoT-based device for real-time object recognition with the voice conversion
Visual impairments have been a significant problem. Many people suffer in their daily lives
because of visual impairments. This era has much AI-based smart technology, which helps …
because of visual impairments. This era has much AI-based smart technology, which helps …
RescueNet: YOLO-based object detection model for detection and counting of flood survivors
BVB Prabhu, R Lakshmi, R Ankitha… - Modeling Earth Systems …, 2022 - Springer
Floods are the common and frequent type of major natural disasters, having a large-scale
economic impact on the country causing widespread damage, resulting in loss of life and …
economic impact on the country causing widespread damage, resulting in loss of life and …
An Improved IoT-Based System for Detecting the Number of People and Their Distribution in a Classroom
This paper presents an improved IoT-based system designed to help teachers handle
lessons in the classroom in line with COVID-19 restrictions. The system counts the number …
lessons in the classroom in line with COVID-19 restrictions. The system counts the number …
Activity detection and counting people using mask-RCNN with bidirectional ConvLSTM
Image Incorporation concerns, including background confusion, uneven population
distribution, and variations in scale and familiarity, can make group counting difficult. Pre …
distribution, and variations in scale and familiarity, can make group counting difficult. Pre …
Detection of lower body for AGV based on SSD algorithm with ResNet
X Gao, J Xu, C Luo, J Zhou, P Huang, J Deng - Sensors, 2022 - mdpi.com
Detection of human lower body provides an implementation idea for the automatic tracking
and accurate relocation of automatic vehicles. Based on traditional SSD and ResNet, this …
and accurate relocation of automatic vehicles. Based on traditional SSD and ResNet, this …
[PDF][PDF] An Algorithm for Detection and Identification of Infestation Density of Pest-Fall Armyworm in Maize Plants Using Deep Learning Based on IoT
Information Technology plays a vital role in human lives by dealing with everyday
challenges. Technological innovation in agriculture provides farmers with the possibility to …
challenges. Technological innovation in agriculture provides farmers with the possibility to …
Coal-rock interface identification method based on improved YOLOv3 and cubic spline interpolation
S Chuanmeng, W Yan**, W Chong… - Journal of Mining and …, 2022 - ckyckz.kcyjy.com
YOLOv3 is a deep learning target detection algorithm with high detection accuracy and fast
recognition speed. Using the improved YOLOv3 algorithm with depth-separable convolution …
recognition speed. Using the improved YOLOv3 algorithm with depth-separable convolution …
Face Recognition and Identification Using Successive Subspace Learning for Human Resource Utilization Assessment
ARA Pascua, M Rivera, M Guillermo… - … on Information and …, 2022 - ieeexplore.ieee.org
Attendance monitoring is an application of people counting with several use cases in
various settings such as in corporate businesses and classrooms. Despite the vast number …
various settings such as in corporate businesses and classrooms. Despite the vast number …