Facial Recognition

Facial Recognition Technology

Facial recognition is often confused with facial analysis. The difference between face recognition and face analysis is that with facial recognition you verify a persons identify and/or search the face of a person in a database e.g. for access control purposes. While facial recognition technology is beneficial for identification and security purposes, it is not widely accepted for use in many countries due to the privacy laws that come with it. The applications for face analysis are mainly for commercial purposes and provide big data analytics on information like demographics and engagement. 

We have created state-of-the-art, privacy respecting, face analysis products that are fully anonymous but can still provide benefits in ID verification for age restricted sales of goods, by verifying the age of a person, kyc processes, security and much more.

Try Facial Analysis

All in one logo solution icon blue
DeepSight Toolkit
  • Get started quickly and easily
  • No need for hard coding
  • 100% deep learning-based
  • For edge or cloud analysis estimations
  • Confirm and detect liveness of users
  • Customizable thresholds for optimal security
  • Measurable Metrics: age, gender, mood, face mask detection, dwell Time, attention time, viewer count, impression count, people count.
anroid linux windows logo
SDK icon blue
DeepSight SDK
  • Software Development Kit
  • Build your own solution
  • Written in C++ with additional wrappers C# and python. Suitable for docker containers.
  • Works offline (one-time internet connection)
  • Accurate face analysis
  • Measurable Metrics: age, gender, mood, face mask detection, dwell Time, attention time, viewer count, impression count, people count.

Facial Recognition Use Cases

How we fuel the facial recognition space using face analysis

Shopping couple market goods cart happy
ID (Age) Verification

Grant consumers access to restricted goods and services, online or in-store with age verification solutions.

security camera
Security & Surveillance

Enhance existing camera networks with audience measurement and real-time face blurring.

digital signage stand display totem face analysis
Market Research

Increase the return of networks by retrofitting them with Mood Detection.

What we do not offer, but get confused with a lot

female woman technology face analysis
Face Comparison

The Identification of a face through the camera, matched against a database and verified if the two faces belong to the same person.

id verification age identification software technology
Selfie Verification

Ensuring that the person is who he says he is through the use of convenient selfie verification with integrated face recognition software.

id verification software technology
Face Search

Find similar-looking faces in large image databases & group them together.

Our Partners

IOT Alliance Logo
Intuiface logo
broadsign logo
grassfish logo blue
simple nuc logo
telelogos lofo
aaeon logo blue

Industry Matches: KYC, Access Control, Payment Solutions

Face Recognition

Age detection technology
Age recognition icon white

Accurate Age Verification

Facial recognition software is often used together with ID verification to verify customer age both online and in real-world edge scenarios. However, this is a costly, time consuming and infringing process. While our anonymous face analysis technology is the perfect solution for verifying ages in a cost efficient, scalable and speedy process

The SDK can also be built into any ID verification service. Our technology is designed to help businesses build strong customer trust and to improve their experiences.

Through the use of DeepSight SDK, you can verify age using the following process:

face detection logo

Security and Surveillance

Security and surveillance network systems can be augmented with additional technologies and insights like face recognition, facial analysis for customer insights and real time face blurring. Retrofitting existing surveillance camera networks  increases the value you provide and maximizes the return from already installed hardware technologies. 

Contact us to find out if we are already integrated with your VMS or how we can integrate shortly!

What you can expect:

camera security
couple face mask retail shop mall shopping
market research icon black
Market Research

Facial recognition systems (or what we like to call Facial Analysis systems as we don’t verify or know people’s identities) are used in market research for the purpose of gaining a better insight into what your customers want and to see first hand how they are reacting to your store, products and staff. 

All of the above can also be achieved using anonymous face analysis technology with no compromise on accuracy. All analysis can even take place with visitors wearing face masks. A solution that caters for real-world scenarios as they happen. 

Sentiment Analysis: Understand your customer’s mood using our artificial intelligence technology. A happy customer is a returning customer!

Demographic Analysis: Understand what demographics make up your store and discover who your main customers are for better product targeting.

People Counting: Face analysis can be used to count how many visitors enter you store each day. Use this data to identify peak times and to compare footfall data with POS data.

Facial Recognition

What is Facial Recognition?
Facial recognition is a technology which uses biometric markers to detect the identity of individuals. Specifically, this type of recognition system measures facial contours and compares them against previously uploaded images. By precisely comparing images, these recognition systems make it possible to determine the identity of individuals, and they can be used for a wide range of security, commercial, and even medical purposes.
How can I use Facial Recognition?

Until recently, the most common uses of facial identification systems have revolved around security and access. For example, it has been used by US border staff to speed up arrival checks, while the technology can also be used by corporations to control access to their facilities. However, its uses have started to go beyond security, offering exciting possibilities for commercial users. Medical organizations have used it to detect facial types which suggest vulnerability to certain conditions, and dating sites have also harnessed facial recognition to match people with similar faces.

What is the difference between Face Recognition and Face Analysis?

Facial recognition is often confused with facial analysis. The difference between facial recognition and facial analysis is that with facial recognition you verify an individuals identify and/or search the face of a person in a database e.g. for KYC, access control, surveillance purposes and many more, usually on a one-to-one basis. With Face analysis you do not know the individuals identity at any given time and only aggregate 100% anonymized data around crowds of people. The applications for face analysis are mainly for commercial purposes providing information like people counts, customer demographics and engagement levels with ad campaigns or displays.

Why is Facial Recognition important?

Analyzing facial features is widely used in border control and security settings to prevent unauthorized entry into sensitive locations such as government buildings, corporate offices, or military installations. So it plays an ever more important role in securing society from harm. It can also help effectively identify and locate missing persons. Facial identification is also favored in many cases because it does not require close proximity to the subject.

How does Facial Recognition work?

Facial identification generally involves mapping “nodes” on an individual’s face to create what is known as a “faceprint.” This functions just like a fingerprint, and includes things like the position of an individual’s eyes and nose – creating a set of data which is unique to each person. Most face-based recognition systems use advanced cameras to capture images of subjects, which are then compared to existing faceprints on a centrally stored database. And with error rates below 1%, it’s one of the most accurate recognition options available, whether you use it for security or market research purposes.

 

Ready to get started with our face recognition technology?

Test it free for 2 weeks on your favorite desktop platform