If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The ability to detect a face from an image or video, and identify or verify it using an existing database is perhaps one of the critical milestones in the history of automated systems. In fact, it makes machines or systems a step closer to human intelligence, thus making them more efficient and accurate than ever.
Previously, facial recognition technology was reserved for the movies and was a thing of fiction. However, much like other biometric solutions that have seen improvement and progress, facial recognition technology also steadily became a reality. Over the past decade, it has not only been developed and perfected; it is being deployed around the world as well. However, not as rapidly as other biometric technologies did – which include fingerprint, iris recognition, hand geometry, and DNA. Before we discuss the history and gradual evolution of facial recognition technology, there is a need to have an understanding of how this technology works and why there was a need for it in the first place?
A free facial recognition tool that allows people to find pictures of themselves or others from around the internet has drawn criticism from privacy campaigners. PimEyes describes itself as a privacy tool to help prevent misuse of images. But Big Brother Watch said it could "enable state surveillance, commercial monitoring and even stalking on a scale previously unimaginable". It comes as Amazon decides to pause its use of facial recognition for a year. Polish website PimEyes was set up in 2017 as a hobby project, and commercialised last year.
For most of us at the moment our only contact with FaceTech is likely to be at electronic passport gates or finding novelty filters on Snapchat. However, like it or not, our faces seem to be becoming an increasingly important tool for accessing possessions and information, as well as enabling different sectors to learn more about consumer markets. Wild wide ranging implications on ethics and business, in future, how might industries – not to mention everyday people – use FaceTech to their advantage?
Computerized face recognition is seen by many analysts as the optimal means to prevent unauthorized access to computer systems. Facial recognition also has other applications, like improving social networks and the curating of photographs for news media. To be efficient systems need to enable a computer to estimate with precision a person's age based on the analysis of their face. The new advancement comes from the Department of Electronics and Telecommunication Engineering, at the Shri Guru Gobind Singhji Institute of Engineering and Technology, in Vishnupuri, Nanded, India. The researchers suggest that age classification will add a tighter aspect to security systems and surveillance.
Facial recognition technology could mean that queuing to buy a train ticket and waiting to go through the barriers may be a thing of the past. The cameras use high speed infrared lights to capture the shape and texture of the face in detail never seen before - even spotting small blemishes and wrinkles. Researchers say they could identify passengers as they walk onto the platform and the time-saving technology could be rolled out in the UK by 2020. Facial recognition identifies people by analysing the shape of a person's face. Each face has approximately 80 unique nodal points which distinguishes one from another.
You're used to unlocking your door with a key, but maybe not with your face. As strange as it sounds, our physical appearances can now verify payments, grant access and improve existing security systems. Protecting physical and digital possessions is a universal concern which benefits everyone, unless you're a cybercriminal or a kleptomaniac of course. Facial biometrics are gradually being applied to more industries, disrupting design, manufacturing, construction, law enforcement and healthcare. How is facial recognition software affecting these different sectors, and who are the companies and organisations behind its development?