Facial recognition technology was always a mythical concept that we thought could be a tool that could solve many of our problems but would never see the light of day. Today, facial recognition is everywhere and is a part of the everyday technology that we use. The iPhone’s, the OnePlus smartphones, Amazon Rekognition and even Facebook is big on face recognition and image tagging. It has moved from being a fictional concept to being a part of our everyday lives.
How does Facial Recognition Work?
Facial recognition is a variation of biometric software that can verify or identify a person through a digital image. This is done as the software mathematically maps out their features and saves this information like a fingerprint. Deep Learning algorithms are put to use to ensure that the individual’s identity is not mixed up and is got right every time.
In order to recognize correctly, the facial recognition software performs 3 key steps:
- Detect the face
- Scan and create fingerprints
- Match and Verify
Think of it as a visual search engine. Even in a very busy or crowded environment, the technology makes use of key factors to identify the right individual. The applications of facial recognition can be across multiple domains and based on how you use it, it may work really well for you or may not work at all. Let’s have a look at some of the applications of facial recognition:
1. Security and Identity Management
When it comes to the question of security, facial recognition software can read expressions and emotions and can even thwart or apprehend suspicious activity. The railways, airports and other areas of vulnerability can be kept safe with facial recognition.
2. Retail / Emotion & Sentiment Analysis
3.How Marketing Benefits
4. In Healthcare
5. The World of Finance and Authentication
A Few Things to Bear in Mind:
Another issue with facial recognition may be privacy and consent. There are millions of laws across human rights, technological privacy and a lot more that need to be taken into account before implementing something like this. Acquiring consent while introducing this technology may be difficult. However with databases of Snapchat, Facebook and LinkedIn being at 200 million, 3 billion and 467 million respectively, this concern may not be insurmountable after all.
Facial recognition is just like how we used to talk about AI a few years back. Facial recognition software’s today are in fact powered by AI. The technologies that come out are not mutually exclusive but are actually built on top of one another.