Facial Recognition Technology
Facial recognition is often confused with facial analysis. 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.
We have created state-of-the-art, privacy respecting, face analysis products that are fully anonymous but can still provide benefits in ID verification (AGE), security and much more.
- 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
(Android coming soon**)
- Software Development Kit
- Build your own solution
- Written in C++ with additional wrappers C# and python
- Works offline (one-time internet connection)
- Accurate face analysis
Facial Recognition Use Cases
What we offer using face analysis
ID (Age) Verification
Grant consumers access to restricted goods and services, online or in-store with age verification solutions.
Security & Surviellance
Create a streamlined surviellance system that monitors all activity using real-time video streams.
Our software can identify 7 basic emotions: anger, disgust, fear, happiness, surprise, sadness, and neutral state.
What we do not offer
Identify the face through the camera, match it against the database and verify if two faces belong to the same person.
Make sure that the person is who he says he is through the use of convenient selfie verification with integrated face recognition software.
Find similar-looking faces in large image databases & group them together.
Accurate Age Verification
Facial recognition software is often used to verify customer age both online and in real-world scenarios. However, our anonymous face analysis technology is the perfect solution for this as it protects individual identities, while also providing a streamlined and accurate ID verification service. Our technology is designed to help businesses build strong customer trust and to improve their experiences.
Through the use of DeepSight Toolkit, you can verify age using the following process:
Security and Surveillance
Security and surveillance systems that utilize facial recognition software are highly effective in there ability to identify people. If you are looking for a non-intrusive surveillance solution for your business that is compliant with privacy regulations then our face analysis software is perfect for your security operations.
What you can expect:
Facial recognition systems 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.
What is Facial Recognition?
How can I use Facial Recognition?
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