Face recognition technology has been used widely in many ways whether it was a tool to solve a crime or open doors, it has always been there in fictional worlds and Sci-Fi movies. It’s verily the fastest biometric technology with the purpose of identification of human faces. Face recognition software online perform analysis of the characteristics of a person’s face images that were taken with a digital video camera. It’s the least intrusive method that provides no delays and leaves the subjects entirely unaware of the process.
How Does Face Recognition Technology Works?
The mathematical algorithms of biometric facial recognition follow several stages of image processing which are:
The first step is for the system to collect a sample of physical or behavioural conditions during a given period of time.
After this, all the gathered data should be extracted from the samples to create templates based on them.
After the extraction, the collected data is compared with the existing templates.
The last step of face detection technology is to make a decision based on whether the facial features of a new sample are matching with the one from a facial database or not. It usually takes just seconds.
Facial Recognition Technology & Related Privacy Concerns
There have already been privacy concerns related to face verification technology. In recent news, according to new laws, the Victorian Government has banned the schools from using facial recognition software in classrooms until or unless they have permission from parents, students and the Department of Education.
A German minister has Seek Facial Recognition for Airports and Railway Stations. The instalment of such cameras and technology has raised a lot of backlash from lawyers and some groups who feel that this so-called innovative technology for securities will compromise the privacy of individuals. However, Interior Minister of Germany Thomas de Mightier has strongly defended this innovation and stated that the security of public places can’t be compromised under any circumstance.
Face Verification- Pros & Cons:
Technologies are not always accepted and welcomed so is the case of face recognition technology. The use of facial recognition technology has already given birth to a heated debate on whether it is a necessary tool to combat crime or an unlawful breach of privacy. People on one side enjoy how this technology has eased their lives in many ways, on the other hand, they have concerns about their data being misused.
Pros Of Face Verification Technology:
Although with face verification people have privacy concerns but it has also bought a lot of ease in the lives of people. Some of the promising benefits of this technology are:
Thanks to the assistance of 3D facial recognition technologies the process of identification happens to be incredibly accurate and showing great results. It’s possible but difficult to fool such a system. Accuracy promises that there will not be any misunderstandings that come from bad face recognition software. You’d be sure that the right person will be recognized at the right time giving high accuracy.
No Contact Required
Face recognition is now lodged over fingerprint scanning because it does not require any contact process. People don’t have to worry about the potential drawbacks related to fingerprint identification technology, such as dirty hands.
Robust and Fast
With the ever-increasing demand for speed and the growing number of cyberattacks, having fast and accurate technology is key. Facial recognition technology provides verification that is quick and convenient.
Facial recognition tech automates the identification process and ensures its errorless every time. You won’t even need an employee to monitor the cameras 24/7. This ends up the cost and time both. Automation means convenience and reduces the expenses too.
Cons of Face Verification Technology:
As with pros come cons, some of the cones of face verification include:
High Costs Required:
It requires top-quality cameras and advanced software which obviously are expensive. However, there are predictions that technological advancements are likely to reduce the prices of facial recognition systems in the future.
Huge Data Storage:
This technique requires video and high-quality images that take up a significant amount of storage. This leads organizations to use numerous computers to process everything and to do it quickly, which is not very convenient.