Feasibility Analysis of AI based Wearable Data-driven Solution for Safety and Health in Sweden

Detta är en Master-uppsats från KTH/Skolan för elektroteknik och datavetenskap (EECS)

Sammanfattning: This thesis investigates the prospects of AI and IoT based wearable solution in order to enhance the occupational safety and health. Thus this study contributes to find the probable use cases that can be suitable for such a technology. Later also investigation has been done to figure out how appropriate the Swedish market will be to target on. At the beginning of the thesis, it includes an overall scenario about the occupational safety/health globally as well as in Sweden. Later to improve the workplace injuries, how AI based wearable solution can be handy has been visualized. The theoretical framework explains the technical features and working mechanism and how it can implement in a real world. The methods that can be applied for such research has been discussed afterwards. Then investigation has been done to find the probable use cases and Swedish market has been analyzed to verify how fit the solution. The result chapter includes the finding of the analysis thereafter. To conclude, it has been figured out that few of the us cases for Swedish industries can certainly be applicable for such AI based wearable solution to improve the workplace safety scenario.

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