AI-Based Facial Recognition and Analysis
The face is the most important external characteristic of a person. Humans distinguish familiar faces from unfamiliar ones based on a unique combination of features that help us distinguish one individual from another or gauge the emotional state of another person. Fraunhofer IDMT's Facial Analysis Technologies provide a deep learning-based tool-set to automate facial recognition and analysis at scale. Our technologies enable a wide range of facial features to be extracted from image and video recordings, e.g. to identify characteristics such as age or gender. This automatically extracted information can be used in a wide range of commercial, industrial and institutional applications. Fraunhofer IDMT’s Facial Analysis Technologies combine state-of-the-art machine learning tools, which are combined, optimized and, if necessary, individually-trained depending on the application, for accurate facial recognition.
Our solutions can be used in a wide range of applications. Examples and use cases include:
- Automating the detection and recognition of actors and actresses in videos or photos for a variety of commercial media and visual archive applications.
- Detecting correctly worn face masks for public health purposes.
- Identifying animal life, such as great apes, for biodiversity conservation and environmental management projects.
- Recognizing specific persons in image and video data to resolve virtual identities back to real ones for law enforcement purposes.
By combining different technologies we enable the implementation of new solutions for a wide range of use cases. For example, Facial Analysis Technologies may be combined with other AI-based technologies such as visual object recognition, visual scene detection and classification, audio event detection and audio scene classification. Such combinations serve to deliver extended metadata to provide deeper analysis solutions for more complex tasks.
All of Fraunhofer IDMT‘s Facial Analysis Technologies adhere to very high data privacy and protection standards.