smartxhealth_surakshit

This repo contains submissions of Team Surakshya for the IISc-Siemens Hackathon 2022 https://iisc.ac.in/events/smartx-health-2022-a-iisc-siemens-hackathon/

The following workflow has been used for the coding pipeline:

In the command line, yolo object detection model has been run to detect people and gloves. The details on the model run can be found here: https://sway.office.com/d1TSLFNdzswF4MOb The model was not fully trained and did not perform well; further, the model was only implemented in the command line and the results have not been further continued down the coding pipeflow.
The second part of the code is built in the python programming interface; Here, random instance generator is used to simulate detection of people and detection of gloves; if people are detected in the frame and gloves not detected, the model counts the instance. If the number of instances sequentially detected exceeds a threshold (threshold = 3), the code sends a notification. The code can be found in 02_smartxhealth_alert.py file. The binder launcher for the python file is:
The third part of the coding pipeline consists of an interactive prototype for the front-end (what the user sees); made in Figma. The link to the Figma interactive prototype is presented here: https://www.figma.com/proto/FCbdNjxBBKfy01QomLLaUz/Untitled?node-id=2%3A2&scaling=min-zoom&page-id=0%3A1&starting-point-node-id=2%3A2