The Face Detection expert witnesses at ForensisGroup are specialists in this computer technology that is being used in a variety of applications. Face Detection technology identifies human faces in digital images.
The principle behind face detection is an algorithm can be trained to look for common facial features and their shadows.
Our face detection expert witnesses have years of experience in the field of computer science and biomedical engineering with expertise in electronic engineering, computer vision, pattern recognition, biometrics, computational life sciences, and non-verbal human behavior understanding, as well as additional knowledge in multi-modal biometrics, face recognition, computer vision, pattern recognition, and biomedical image analysis.
Face detection is now being used in smartphones, tablets, and webcams. The technology is able to track a person’s face during a video conference or enable face-recognition software to prevent unauthorized access.
These professionals develop security artifacts, standards, and policies across multiple IT platforms, including mainframe, client-server, and web-based systems.
Our face detection experts have varied professional experience as biometrics research scientists, facial recognition engineers, process development scientists, and cybersecurity analysts.
The face detection experts at ForensisGroup are at the top of their fields because we carefully evaluate each one of our professionals to ensure exceptional ability, achievement, and experience, that ensures a quality experience for our clients. We make it easier than ever to find a Face Detection expert witness with the appropriate professional background. Contact ForensisGroup to find top face detection expert witnesses for your case.
I have more than 20 years experience in the field of Computer Science and Biomedical Engineering with expertise in Electronic Engineering, Computer Vision, Pattern Recognition, Biometrics, Computational Life Sciences, and Non-verbal Human Behavior Understanding. I have additional knowledge in multi-modal biometrics, face recognition, computer vision, pattern recognition, and biomedical image analysis.