Project title

Pose Estimation In Drone Videos For Identifying Hand Gestures

Submitted to:

  • Dr.BALMUKUND MISHRA

Submitted By:

  1. Jay Gandhi
  2. Nitesh Jain
  3. Tushar Vohra
  4. Rishabh Jain

Project Description

Human pose estimation is growing very fast and the reason can be narrowed down to the fact that there are abundance of applications that can benefit from it.One such application is action recognition.Action Recognition based on human pose estimation can be beneficial to various fields like health surveillance and chaos detection etc.In our paper,we have focused on recognizing hand gestures from drone surveillance. This can majorly be used in Search and Rescue Operations (SAR) for identifying people stuck in difficult situations.

Project Poster

Poster_1

Submitted to:

  • Dr.Shashidhar M

Submitted By:

  1. Tushar Inani

Project Description

Know Your Customer (KYC) checks are currently an extremely time consuming and costly affair. Banks have to spend millions of dollars every year to keep up with KYC regulations or risk being fined heavily. Through DAPP, we aim to simplify this process to a great extent.

Project Poster

Poster_1
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