Point-Cloud Modeling for High-Resolution 3D Facial Recognition

BACKGROUND

The technology responds to the challenge of identifying individuals from low-quality images where traditional facial recognition systems fall short. As security measures increase in public spaces, there is a growing need for more robust identification methods that can operate with variable image qualities. It collects fragmented facial features from video feeds, unifying them into a detailed 3D model for precise identification.

Benefit

• Offers a significant increase in facial recognition accuracy, suitable for law enforcement agencies dealing with low-quality data.
• Allows for the reconstruction of a face from minimal and disparate data points and reduces the need for expensive camera infrastructure
• Reduces computational load and facilitates images from any angle by sampling facial features at varied resolutions based on their significance

Market Application

• Public Safety: Utilized by airports and other venues to enhance surveillance capabilities without additional hardware costs.
• Law Enforcement and Forensic Science: Aids forensic experts in reconstructing facial features from partial evidence for investigative purposes.
• Customer Verification: Applied in banking and retail to verify customer identity for transactions and access control.

Intellectual property status

Granted Patent

Patent number : Patent No.12,020,497, CONT No.18/662,435

Where : USA