COVID-19 Can Create Opportunity for IoT in the Caribbean
Demonstrated use of sensors include a color and infra-red camera for “ body shape detection for the classification and estimation of health risks ” 12 , Kinsa ’ s “ smart ” thermometers which enabled real-time tracking of health data through the connected app 13 and a thermal vision system coupled with Cloud technology that aided in monitoring workers 14 .
Personal privacy concerns in “ tracking and tracing COVID-19 ” 15 16 directly contributed to the slow adoption of contact-tracing mobile apps 17 . Personal information is not needed to enforce social distancing in a work area . A wearable IoT device , issued to each worker in a plant 18 , can “ precisely sense when other devices breach the universally accepted 2m personal exclusion zone , alerting both wearers with a choice of either visual ( LED lights ), vibrating , or audio alarm ” 19 .
In order for the wearable ( or portable ) device solution to be effective , each individual can be issued one and it must be used ( as in the case of Kinsa ’ s thermometers ). This involves the cost
35291-2 .
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Sooklal , S ., Hosein , P . and Teelucksingh , S . ( 2016 ) ‘ A Review of Human Body Shape Detection Techniques and Their Application to the Prediction of Health Risks ’, in 8th International Conference on e-Health , Madeira , Portugal , July , 2016 , p . 4 . Available at :
http :// hosein . tt / papers / e-health2016 . pdf .
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