Face Anonymization & Passenger Counting

Summary

A global technology solutions provider sought to collaborate with a company specializing in computer vision to develop an AI solution for anonymizing faces encountered while docking and undocking aircraft. Folio3 AI crafted face anonymization and people counting solutions, which effectively blurred and anonymized all detected faces in docking videos while also accurately tallying the number of passengers offboarding from the aircraft.

About the Customer

Our client is a global technology solutions provider catering to high-value sectors and different industry. They specialize in delivering cutting-edge equipment, systems, and services, with a keen focus on enhancing operational efficiency, safety, and customer experience.

Understanding the Challenge

Our client needed close monitoring of the docking sequence and ensure compliance with privacy regulations during passenger boarding and disembarking. An intelligent system was required to detect anomalies in the docking process while also accurately counting passengers without recording their faces in the video feed. To overcome these challenges, our client needed an AI solution capable of providing real-time monitoring, precise counting, and face anonymization to meet regulatory requirements and enhance operational efficiency.

Solution

Folio3 AI developed a comprehensive on-premises Face Anonymization & Counting solution tailored to the specific needs of our client's project. This solution is designed to efficiently process video feeds from multiple camera sources simultaneously, ensuring seamless integration into the existing infrastructure.

Result

With an accuracy of up to 90%, the system detects any anomalies in the docking process and sends alerts for prompt actions. The system also anonymized all faces of the passengers, ensuring all compliance and regulations were met.