AI facial mapping and facial recognition are used in many industries but have been of particular interest in CGI, healthcare, autonomous vehicle development, and cybersecurity. 

Digital biometrics is improving security and reducing online payments and identity fraud. Meanwhile, UAVs require in-depth intuition of human faces to detect human movements and react accordingly. 

Advanced facial mapping is making something indelibly human comprehendible to computers. Recent surveys suggest that facial recognition technologies can realistically attain 99.97% accuracy and above.

Facial Recognition

Face verification involves feature extraction and a recognition task, which compares biometric data, e.g. face contours, eye color, feature measurements, etc, to a database. By extracting features from faces, it’s also possible to create exceptional CGI models for film, TV, and video games. 

While facial recognition is a trivial task to the human brain, it’s only with the advent of modern deep learning algorithms that computers have been able to achieve this at scale. Today, models are able to verify and match faces even when details and features are lacking. 

Facial recognition is reducing identity fraud and financial crime rates by streamlining KYC and other verification processes. This is reducing reliance on documentation and paper processes in favor of quicker, paper-free processes.

In forensics, advanced facial mapping is making it easier to catch potential criminals using video and image data.

Data Labeling For Facial Mapping

Faces are usually labeled with a combination of key pointing, bounding boxes, and polygon annotation. The goal is to achieve enough variables to make virtually any facial record entirely unique and identifiable. 

Aya Data’s data labeling team can label facial data within images and videos. Faces can be mapped from all angles to ensure facial recognition in a number of different environments. 

Typical Services: Key Points

Domain Expertise: Facial Mapping