Technology
Major Tech Company
Global
The client is a major technology company developing advanced facial recognition systems for secure biometric authentication in various applications. They needed to improve their AI models while ensuring strict compliance with global privacy regulations.
The client faced several challenges in improving their facial recognition AI. They needed to achieve compliance with privacy laws in multiple countries while maintaining strict security standards. Additionally, they needed to collect videos from 20,000 participants despite limited access to data, which was essential for training their AI models effectively.
We implemented TrainAI from RWS, focusing on comprehensive data collection and generation. Our approach involved creating a secure framework for collecting video data from participants while ensuring full compliance with privacy regulations across multiple jurisdictions.
We developed a robust recruitment strategy that allowed us to source 50,000 participants - 30,000 more than initially requested. This diverse participant pool ensured the AI model would be trained on a wide range of facial features and expressions.
We implemented strict privacy protocols that complied with regulations in multiple countries. This included obtaining proper consent, anonymizing data where necessary, and implementing secure data storage and transmission methods.
We collected high-quality video data, with each participant contributing an average of 13 videos. This resulted in over half a million videos for AI training, providing a rich dataset for improving the facial recognition algorithms.
Throughout the process, we maintained rigorous security standards to protect the collected data. This included encryption, access controls, and regular security audits to prevent unauthorized access.