(Source: Wouters, Dirk (2018))
Background
According to Raviv (2020), the development of facial recognition technology can be traced back to the pioneering efforts of engineers Woody Bledsoe and Helen Wolf in the early 1960s. Bledsoe and Wolf attempted to train computers to recognize human faces, but this proved challenging due to the machine's inability to accurately decipher human facial expressions and emotions, which lead to inconsistent results. Despite these challenges, their groundbreaking research eventually laid foundation for future advancement and inspired others to take up the mantle. One notable figure is Takeo Kanade, a Japanese computer scientist, who was able to develop a computer program that would successfully recognize an individual facial structure such as noise, mouth and eyes (Raviv, 2020). However, it wasn't until the early 2000s that FRT started to gain significant momentum and wider influence, largely due to the advancements in technology that enable facial data to be capture perfectly and provide a more accurate assessment. The advancement make in FRT has brought about transformative changes across various sectors, such as the Law enforcement and commercial, offering improved security, efficiency and especially convenience.