CheQ

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  3D illustration

Inspiration

We were inspired by the LG's motivation of bringing smart solutions for safer and more confortable homes.

What it does

It detects if the personne is fainted, our system will be able to classify if the situation is dangeorous or not its will send a message to any family member that its predefined on the application and the Autorities

How we built it

We use mediapipe librairie, developed by Google, it offers open source cross-platform, customizable ML solutions for live and streaming media. It contains model called pose: it is a ML solution for high-fidelity body pose tracking, inferring 33 3D landmarks and background segmentation mask on the whole body.

Challenges we ran into

How the system detects that the persone is lying down on the floor How the system can detect the ok sign using the right calculations

Accomplishments that we're proud of

Our hard work.

What we learned

We learned a lot in time management and finding solutions to problems we did not expect.

What's next for CheQ

We are aiming to improve and updgrade the system so that it can also help detecting other kinds of house incidents.

Built With

• blender
• figma
• mediapipe
• python