Case Study: a global human behaviour analysis company improves behavioral video analysis with Twine AI

How Twine AI Improved Video Analysis for Behavioral Understanding

A global human behaviour analysis company, aiming to assist clinicians and patients with health and mental state monitoring, needed to build a diverse video dataset for their facial and voice sensing AI. Their challenge was to collect high-quality, front-facing smartphone video recordings from a large and varied group of participants. They partnered with Twine AI to develop and implement a comprehensive data collection solution.

Twine AI devised a phased approach to gather video recordings from over 1,000 participants, ensuring diversity in facial features, skin tones, and age. By sourcing 100 participants per month via their smartphones, Twine successfully built the required dataset, enabling the client to effectively analyze behavioral patterns. The client was highly satisfied with the results and expressed interest in continuing the project with Twine AI for further improvements.