COVID-19 Can Create Opportunity for IoT in the Caribbean
Entrance
Wash hands ?
Sanitise hands ?
Temperature ? Mask on ? Cough ? Sneeze ?
Fig . 12 : IoT sensors - External mounted camera , microphone and status indicator
6 feet 6 feet
Divide room into segments ( using natural borders as rooms , isles or placing marked lines in open plan area ) Vision system determines social distance in sector Audio announcement to alert " people in sector A please stand 6 feet apart " Alert repeats until compliance
ML to analyse attendance pattern to predict best times to visit ( works similar to traffic route prediction algorithm )
Fig . 13 : IoT sensors – Internal mounted camera , microphone and speakers
The design can be applied inside the building ( Fig . 13 ) to maintain social distancing through spatial detection and creating audible alerts that remind persons to stand 6 feet apart . Machine learning ( ML ) can utilize the information to develop attendance patterns to inform potential consumers of the most suitable times to visit . This type of behavior analysis is commonly used in retail shops using IoT devices to provide an engaged customer experience 57 .
Fig . 14 ( below ) illustrates the conceptual framework in using mounted connected physical sensors that detect and analyze changes in information from light ( vision ), sound , temperature as well as radio waves . The data generated would be analyzed using Cloud applications , as analytics and machine learning , to develop information specific to individual ’ s behavior as it relates to the spread of COVID-19 , such as washing and / or sanitizing hands ; whether a mask is
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