Facial recognition system uses biometrics maps facial features from photographs and videos derived from databases to verify personal identities of people. Built on an algorithmic scale system, a system sees data when it sees a face. The system reads the geometry of a face and key elements such as the distance between eyes and the forehead. The mathematical formula compares known faces to others before settling on an identified face ( Carter, 2018) . Since nearly every Americans have their faces stored in databases, law enforcement agencies are allowed to search for identifies of suspects that may be involved in criminal activities as part of solving crimes.
There are security issues with facial recognition systems where possible hackers could easily access data and steal them for their own use. Since the system is prevalent and becoming widespread, facial identification may end up in a lot of places and may not be easily secured. Therefore, authorization may not be secured and hackers may easily get access to critical information and identities of people. At the same time, facial recognition defies the right of individuals to own their face ( Carter, 2018) . The system makes people feel as if they might have given up their rights to own their face. The system also leads to safety issues where individuals might be stalked and harassed online. For instance, someone may take one’s face from the database and place it somewhere public where others may easily know who one is. The embarrassment and breach of security that follows is devastating ( Carter, 2018) . For instance, if a hacker manages to steal the identity of a particular witness, a criminal investigation might be compromised and the security of a witness threatened.
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References
Carter, A. M. (2018). Facing Reality: The Benefits and Challenges of Facial Recognition for the NYPD . NAVAL POSTGRADUATE SCHOOL MONTEREY CA MONTEREY United States.
