The global facial recognition market is expected to grow from USD 4.05 Billion in 2017 to USD 7.76 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 13.9% – MarketsandMarkets
Facial recognition technology is no more a thing of science fiction instead; it has gained tremendous traction across various business industries for its impactful uses. A modern facial recognition system uses advanced IP cameras, artificial intelligence, machine learning algorithms and cognitive technology to identify, authorize, or verify a person from a video source or digital image. This could be to quantify human expressions, manage security systems, increase user engagement, analyze customer behavior, improve user safety and extract demographic information.
Earlier enterprises used biometric systems to scan hands/fingerprints or detect iris to identify or verify an individual, which was an intrusive task that made a person aware of the process. Now face identification applications enable CCTV security algorithms to send an alert when it identifies a particular person who is blacklisted without their knowledge.
Moreover, many big brands such as Facebook, Amazon, Google, Microsoft and others have already adopted AI-based face authentication applications to optimize security, user experience and performance.
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How facial recognition works
There are two common face recognition algorithms: holistic matching and feature-based. In the holistic matching method, the entire face is considered as input data to identify a particular person from the database, whereas in the feature-based method, the face is divided according to features such as eyebrows, bridge of the nose, ears, and the contour of the lips, chin and spacing of the eyes.
In addition, these days 3D face recognition technique is implemented which uses 3D sensors that help in capturing 3D face images and track a person’s face in real-time with improved precision. These algorithms are useful in developing real-time face detection applications that identify an individual in diverse poses, lighting and expressions.
Some of the noteworthy facial recognition use cases
Now that we are aware of how face recognition technology works, let’s look at some of the amazing use cases of it.
Make advertising more responsive
A face recognition system makes advertisements more engaging and personalized for its multifarious target audience. Some brands have already integrated facial recognition technology in digital billboards to customize their campaigns. By scanning a viewer’s face, the ads are played based on his age and gender. Besides, this application captures expressions of customers to understand their emotions (happy, sad, disgusted, etc.) for a particular product.
Increase airport security
Airports are one of the most crowded areas and under constant threat of criminal and terrorist activities too. This is why many airlines have already started implementing face recognition systems to make baggage checking and flight boarding seamless as well as faster. Moreover, the AI face authentication application integrated with surveillance cameras helps in identifying a terrorist who might be involved in some disastrous activity.
Diagnose rare genetic diseases
The AI-based facial recognition application can help the healthcare industry to diagnose a disease that results in a change in appearances like spreading eyes or drooping ears. A facial recognition scan will become part of standard medical check-up that will identify genetic disorders, such as Cornelia de Lange syndrome, Angelman syndrome, DiGeorge syndrome and others, which bring distinctive changes in facial characteristics. Hence, clinical diagnoses for various genetic diseases and its treatment will become faster than before with face recognition.
Provide driver safety and personalization
Nowadays car companies, such as Tesla, Subaru and others are exploring various ways to use face recognition system to recognize drivers. One of the significant uses is where drivers can use their face to start the car instead of a key as this would prevent theft of the vehicle. Face recognition can scan the face of the driver and alert them if they are losing their focus from the road. The face of the driver is scanned initially and his profile is maintained. This profile tells about the preferences of the drive like calendar, favorite radio station, the position of seat and more.
Helpful in VIP identification
A facial recognition system can identify esteemed customers/guests while entering a hotel or sports event automatically, which enhances their loyalty greatly. In hospitality, the face recognition system helps in identifying a returning guest at the front desk and display their preference-related information fed before, such as choice of food, room preference, etc. At a sporting event, the organizer can identify VIP fans early, let them skip the queue and offer them all VIP benefits. This will help in delivering a delightful fan experience to VIPs.
Prevent retail crime
For the retail industry, a facial recognition system is a game changer as it instantly identifies when it scans a shoplifter, criminal or customer with fraudulent history. The retail security officers are immediately informed when a criminal enters the store and his picture matches with the huge database of criminals. Therefore, retail crimes have drastically reduced with face recognition technology as it prevents losses, violent activities, theft, and shoplifting from happening within the retail store.
The final say
These are some of the remarkable use cases of face recognition from different industries. Face recognition is also helpful in some practical scenarios like finding missing person/pet, tracking employee attendance, limit access to sensitive areas like bank vaults, labs, etc. with photo already uploaded in the database. So, if you are looking to implement a facial recognition system to support your business model, then talk to our experts.