scholarly journals An Automated Tool for Non-contact, Real Time Early Detection of Diabetes by Computer Vision

2015 ◽  
Vol 5 (3) ◽  
pp. 225-229 ◽  
Author(s):  
Jamal Firmat Banzi ◽  
Zhaojun Xue
Keyword(s):  
Computer Vision ◽  
Early Detection ◽  
Real Time ◽  
Automated Tool

A threshold-based, real-time analysis in early detection of endpoint anomalies using SIEM expertise

2021 ◽  
Vol 2021 (4) ◽  
pp. 7-16
Author(s):  
Sivaraman Eswaran ◽  
Aruna Srinivasan ◽  
Prasad Honnavalli
Keyword(s):  
Early Detection ◽  
Real Time ◽  
Time Analysis ◽  
Real Time Analysis

scholarly journals AutoVEM: an automated tool to real-time monitor epidemic trends and key mutations in SARS-CoV-2 evolution

2021 ◽  
Author(s):  
Binbin Xi ◽  
Dawei Jiang ◽  
Shuhua Li ◽  
Jerome R Lon ◽  
Yunmeng Bai ◽  
...  
Keyword(s):  
Real Time ◽  
Automated Tool

Real-time Wearable Computer Vision System for Improved Museum Experience

2016 ◽  
Author(s):  
Giovanni Taverriti ◽  
Stefano Lombini ◽  
Lorenzo Seidenari ◽  
Marco Bertini ◽  
Alberto Del Bimbo
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Vision System ◽  
Wearable Computer ◽  
Computer Vision System ◽  
Museum Experience

Real-time Drowsiness and Distraction Detection using Computer Vision and Deep Learning

2020 ◽  
Author(s):  
Phakawat Pattarapongsin ◽  
Bipul Neupane ◽  
Jirayus Vorawan ◽  
Harit Sutthikulsombat ◽  
Teerayut Horanont
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
Real Time

scholarly journals Recent Advances on Early Detection of Heat Strain in Dairy Cows Using Animal-Based Indicators: A Review

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 980
Author(s):  
Hang Shu ◽  
Wensheng Wang ◽  
Leifeng Guo ◽  
Jérôme Bindelle
Keyword(s):  
Heat Stress ◽  
Early Detection ◽  
Dairy Cows ◽  
Real Time ◽  
Dairy Farms ◽  
Time Measurement ◽  
Heat Strain ◽  
Detection Methods ◽  
Livestock Farming ◽  
Real Time Measurement

In pursuit of precision livestock farming, the real-time measurement for heat strain-related data has been more and more valued. Efforts have been made recently to use more sensitive physiological indicators with the hope to better inform decision-making in heat abatement in dairy farms. To get an insight into the early detection of heat strain in dairy cows, the present review focuses on the recent efforts developing early detection methods of heat strain in dairy cows based on body temperatures and respiratory dynamics. For every candidate animal-based indicator, state-of-the-art measurement methods and existing thresholds were summarized. Body surface temperature and respiration rate were concluded to be the best early indicators of heat strain due to their high feasibility of measurement and sensitivity to heat stress. Future studies should customize heat strain thresholds according to different internal and external factors that have an impact on the sensitivity to heat stress. Wearable devices are most promising to achieve real-time measurement in practical dairy farms. Combined with internet of things technologies, a comprehensive strategy based on both animal- and environment-based indicators is expected to increase the precision of early detection of heat strain in dairy cows.

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