The Facial Recognition Market was valued at USD 3.72 billion in 2020 and is projected to be valued at USD 11.62 billion by 2026, registering a CAGR of approximately 21.71% over the forecast period (2021–2026).
What is Facial Recognition?
Facial recognition is a method or a system built to identify a person from an image or video. The technology is not new, but it has gained its importance in the last few years.
These days, facial recognition has become more than just a staple of sci-fi movies. From enhancing the security features of mobile devices, revolutionizing crime investigation and other law enforcement processes, to simply streamlining business operations, facial recognition technology has undoubtedly changed how the world works.
Interesting facts on Facial Recognition
- There is a 1 in 1,000,000 probability that a random person can unlock someone else’s iPhone using its Face ID feature.
- 74% of hotel operators agree that the use of biometrics to identify hotel staff will become mainstream by 2025.
- In Spain, a study by CaixaBank shows that 70% of users would be willing to use facial recognition instead of PIN when withdrawing money from ATMs.
- By 2023, 97% of airports will roll out facial recognition technology.
Real-life use case of Facial Recognition
Unlocking phones — Today, almost every phone uses facial recognition for unlocking the phone with great accuracy.
Airports — Facial recognition has become a familiar sight at many airports around the world. Increasing numbers of travelers hold biometric passports, which allow them to skip the ordinarily long lines and instead walk through an automated ePassport control to reach the gate faster.
Healthcare — Healthcare providers are testing the use of facial recognition to access patient records, streamline patient registration, detect emotion and pain in patients, and even help to identify specific genetic diseases.
Banking — Biometric online banking is another benefit of face recognition. Instead of using one-time passwords, customers can authorize transactions by looking at their smartphone or computer.
Facial Recognition Payment — Facial recognition payments making a mark on the world. There is no need to carry a smartphone, bank card, or any form of identification, or even have to enter a pin number. FRP is most widely used in China.
Snapchat — It makes heavy use of face detection and recognition for many of its features, most notably, the funny filters that are such a rage.
Control Access—Face recognition can work as a means of access control to ensure that only authorized individuals get into facilities like labs, boardrooms, bank vaults, training centers for athletes, and other sensitive locations.
Diagnose Diseases — Face recognition can be used to diagnose diseases that cause detectable changes in appearance. As an example, the National Human Genome Institute Research Institute uses face recognition to detect a rare disease called DiGeorge syndrome, in which there is a portion of the 22nd chromosome missing.
Facial Recognition Market Growth by Region
Here, Asia-Pacific is the most prominent region for the adoption of facial recognition, owing to factors, such as technological development, rising infrastructure growth, and increasing application in numerous areas.
With great power and capabilities, comes great responsibility. Here, It is not so easy to implement facial recognition on our own as there are hundreds of factors that bring the accuracy low to high. And if you don’t have more than 95% accuracy(Really tough to achieve) then it’s not at all useful in a major environment.
Here, Amazon comes into the ground with its Amazon Rekognition that claims to recognize as many as 100 people in a single image and can perform face matches against databases containing tens of millions of faces.
What Is Amazon Rekognition?
Amazon Rekognition is an example of cloud-based software as a service (SaaS) computer vision platform that was launched in 2016. It is a sophisticated deep learning-based service that makes it easy to add powerful visual search and discovery to your own applications.
It provides facial analysis and facial search capabilities with high accuracy. We can easily detect and compare faces user verification, people counting, and human safety use cases.
The most common use-cases for Rekognition include:
- Searchable image and video libraries
Amazon Rekognition allows you to scan photographs and saved videos to find objects and scenes that exist inside them. - Face-based User Verification
By matching a user’s live picture to a reference image, Amazon Rekognition allows the apps to validate their identities. - Sentiment and Demographic Analysis
Amazon Rekognition analyses facial faces for emotional emotions like happiness, sadness, surprise, and demographic data like gender. - Text Detection
Rekognition by Amazon Text in Image is a program that recognizes and extracts text from images.
Top Industries that use Amazon Rekognition
Looking at Amazon Rekognition customers by industry, we find that Computer Software (30%) and Information Technology and Services (16%) are the largest segments.
Some of the mind-blowing features offered by Rekognition are:
- Real-time analysis
- Extensive facial analysis (gender, the color of hair, facial expression, eyes open or not, etc.)
- Scene and activity detection (indoors/outdoors, “playing cricket”, etc.)
- Moderating unsafe content (nudity, for example)
An example of using Amazon Rekognition
Facial Analysis
Here it will detect the presence and location of faces and return a set of quality attributes about each face, such as detected emotions, gender, glasses, open or closed eyes, mustache, beard, smiling, etc.
It will be in the JSON format
{
"FaceDetails": [
{
"Beard": {
"Confidence": 97.11119842529297,
"Value": false
},
"BoundingBox": {...},
"Confidence": 99.8899917602539,
"Emotions": [
{
"Confidence": 93.29251861572266,
"Type": "HAPPY"
},
{
"Confidence": 28.57428741455078,
"Type": "CALM"
},
{
"Confidence": 1.4989674091339111,
"Type": "ANGRY"
}
],
"Eyeglasses": {
"Confidence": 99.99998474121094,
"Value": true
},
"EyesOpen": {
"Confidence": 96.2729721069336,
"Value": true
},
"Gender": {
"Confidence": 100,
"Value": "Female"
},
"Landmarks": [
{
"Type": "eyeLeft",
"X": 0.23941855132579803,
"Y": 0.2918034493923187
},
{
"Type": "eyeRight",
"X": 0.3292391300201416,
"Y": 0.27594369649887085
},
{
"Type": "nose",
"X": 0.29817715287208557,
"Y": 0.3470197319984436
},
...
],
"MouthOpen": {
"Confidence": 72.5211181640625,
"Value": true
},
"Mustache": {
"Confidence": 77.63107299804688,
"Value": false
},
"Pose": {
"Pitch": 8.250975608825684,
"Roll": -8.29802131652832,
"Yaw": 14.244261741638184
},
"Quality": {
"Brightness": 46.077880859375,
"Sharpness": 100
},
"Smile": {
"Confidence": 99.47274780273438,
"Value": true
},
"Sunglasses": {
"Confidence": 97.63555145263672,
"Value": true
}
}
]
}
Happy customers of Amazon Rekognition
Pattern89
Pattern89 uses Amazon Rekognition to provide customers with deep data analysis including creative coaching to improve ad performance on Facebook and Instagram. Their customers have been able to implement recommendations to reduce their ad spend, increase revenue, and improve efficiency metrics.
CampSite
The campSite is a leading software platform for summer camps where they serve hundreds of camps across the US and the world with a full suite of functionality including enrollment, staffing, media hosting, and more.
Rekognition has allowed CampSite to continue its goal of being the technology leader in the summer camp software space.
The value-add of automatically notifying parents when a new photo of their camper has been uploaded is a huge differentiator for CampSite, which is made possible with Rekognition.
