Which technology is often utilized for facial recognition in forensic investigations?

The technology that is often utilized for facial recognition in forensic investigations is artificial intelligence and machine learning algorithms. These advanced techniques analyze facial features and patterns from images or video feeds, enabling law enforcement and forensic investigators to identify individuals with a high degree of accuracy.

Artificial intelligence and machine learning algorithms are particularly effective because they can process vast amounts of data quickly and learn from it, improving their recognition capabilities over time. They are designed to detect and extract relevant features from facial images, such as the shape of the eyes, nose, and mouth, providing powerful tools for matching faces against databases of known individuals.

Other options, such as mobile phone applications, standard video cameras, and manual sketching techniques, may have their respective uses in various contexts, but they do not leverage the same level of sophisticated technology and analytical capability as artificial intelligence and machine learning. Mobile applications might use basic recognition systems, but they still rely on the underlying technology of AI for more robust functionalities. Standard video cameras can capture images but lack the inherent capacity to perform facial recognition without added software. Manual sketching techniques are helpful for illustrative purposes but do not offer the same precision or efficiency as digital recognition systems.