It may be hard to imagine the security or law enforcement industries without the use of face recognition, and when accompanied by the everyday use of smartphones or time-clock terminals, the use of the technology becomes inevitable. However, it cannot be stated that the systems that worked a few years ago do not need any evaluation to work on accuracy, security, ethical considerations, and full compliance with regulations. What are the benefits of face recognition technology evaluation results?
#1 Improvement of accuracy
The application and processes that require reliable identification are highly dependent on the accuracy of the face recognition technology. Neurotechnology’s example of FRTE 1:1 Verification shows how effective the evaluation results may be through a thorough analysis of performance metrics. The verification aids in seeing areas for improvement, reduces false positives or negatives, and influences algorithms’ accuracy.
#2 Improved security
One of the most crucial features of the face recognition system is its security measures, which prevent any malicious practices. Any fraudulent behaviour and failures may bring grave consequences when we take into consideration the fact that the system is used in security and law enforcement. Thanks to the evaluation, it is possible to identify and prevent potential failures of the system, as well as improve the ability to distinguish between individuals. It is an important way of preventing unauthorised access and false identification.
#3 Optimisation of resources
Face recognition technology enables its users to achieve expected results when resources are efficiently utilised, especially for the cross devices use of the technology. With the use of FRTE 1:N Identification evaluation, it is possible to optimise resource requirements and achieve flawless performance without harm to efficiency.
#4 Compliance with regulations and respect for ethics
Face recognition technology cannot be used effectively without respect for regulations and privacy concerns. Thanks to evaluation, developers are more aware of the necessary safeguards when privacy issues are concerned, building trust and authority. Compliance is closely related to ethical concerns, while face recognition systems are often questioned for being biased and fair.
