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.