CASE STUDIES

Enhancing User Experience: Hand Gesture Recognition for Interactive Digital Displays

Leading Digital Display OEM

Problem Statement

Client was looking for a partner to develop gesture recognition algorithm for users to interact with their digital displays

OUR SOLUTION

Develop IP for hand detection and tracking using OpenCV APIs. Working with the customer closely to understand the use case and tune the solution to perform with high degree of accuracy. This involves

  • Training dataset with Haar based classifier
  • Classification of Hand movements to various gestures
  • Robust recognition on wide variety of Human hand categories
  • Tuning for varying environmental lighting conditions by applying relevant colorspace filters.
  • Background handling
  • Implemented using Bhattacharya distance and relevant statistical methods

RESULTS

The customer was delighted to get the product ready on time, with desired accuracy for a demonstration in major Electronics event.

SHARE THIS ARTICLE

Looking to build a similar product?

Related Case studies

Please enable JavaScript in your browser to complete this form.
Step 1 of 2

Talk to an Expert

Please enable JavaScript in your browser to complete this form.
Step 1 of 2

Get in Touch

Fill out your inquiry and contact our team

Welcome cookies

To provide the best experiences, logituit.com use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behaviour or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.