Create lists of your clients and employees. As soon as an unwanted guest comes into sight, the system notifies your security personnel. Being notified about your best-clients arrival will help you provide them a warm welcome. This will help increase customer loyalty to your business.

The best indicator of future behavior is past behavior. By instantly identifying anyone with a criminal record, Enface helps protect your business from potential financial loss and investigate theft if it occurs. Recognize thieves with Enface in seconds.

With a face payments system you can provide customers facial recognition-based payments, by linking the biometric authentication systems. When paying, a person looks at the camera, the system finds his picture, compares it with the face, and the money is debited from the card automatically.

Automatic customer verification keeps your service safe and reduces the risk of fraud. Sign contracts remotely with automatic document verification and identify customers directly in the mobile app. This will save users time and provide security.

Enface detects customer faces in bank branches and ATMs and checks them against fraudster databases. This will help you to protect your business from potential financial loss and investigate theft if it occurs. Recognize thieves with Enface in seconds.

Enface access control system negates the risks of employees' cards falsification, loss, and transfer to third parties. A facial recognition checkpoint also allows you to track employees' working time. Data is real-time. Protect yourself from financial loss.

Often there are situations when a child takes the parents' phone without asking to play games. But often these games have age restrictions that are unacceptable for the child. With the help of recognition, you can control this case and not let the child into the gaming system.

With a face payments system you can provide customers facial recognition-based payments, by linking the biometric authentication systems. When paying, a person looks at the camera, the system finds his picture, compares it with the face, and the money is debited from the card automatically.

Face recognition technology can be implemented directly in the game. Often there are games in which people play as a certain character, especially if it's an action game. With the help of these technologies, it is possible to recognize the gender, emotions, well-being and state of the game character.

In the event of a theft, security forces must find the suspect quickly. Security guards can use facial recognition software such as Enface to search for individuals and track them through various security cameras on site. Recognize uninvited visitors with Enface in seconds.

Track the work of your employees and adherence to safety rules in factories. There are situations when a person works with dangerous objects, where it is necessary to use protective glasses. If this does not happen, then the employee may be injured, and you may be fined. With Enface, you can avoid such situations.

A security system that remembers faces improves both ease of use and crime prevention. Facial recognition also adds more actionable information to system alerts. Rather than reporting an anonymous person visited your front door at X pm, a facial recognition camera lets you know who it was.

Using students' faces to connect various campus systems, such as libraries, classrooms, and curriculum systems. The system is able to track everyone entering the grounds, as well as analyze unauthorized people, who often appear in close proximity to the perimeter.

Use facial recognition technology to check those students who try to cheat on exams and tests. With Enface, you can improve the quality of education your students receive. Enface provides digital education platforms with reliable video analytics both for schools and universities.

With Enface, you can track students' emotions during class in seconds. This will help you recognize when students are more interested in the material of the lesson, who do not listen at all and go about their own business. This will help improve the quality of the presentation of the material.

With a face payments system you can provide customers facial recognition-based payments, by linking the biometric authentication systems. When paying, a person looks at the camera, the system finds his picture, compares it with the face, and the money is debited from the card automatically.

Face recognition is becoming more and more prevalent in the e-commerce industry for various reasons. When it comes to finding and eliminating fake items on e-commerce sites, brands and online marketplaces have struggled to find an effective solution. Thus, you can find similar pictures from the photo and find out where the original is.

Inappropriate content on e-commerce websites can be detected and removed using facial recognition technology. One way to do this is through facial recognition, which allows legitimate brands to find fake photos of counterfeit products and remove any inappropriate or explicit content associated with that branding mistake.

A very unpleasant and even dangerous situation when a person in a photo and in real life are very different, isn't it? With the help of facial recognition technologies, you can confirm the identity of a person using a selfie camera in real life, comparing with a photo that the user wants to enter into the system.

With the help of interests and factors that users choose at the very beginning of registration in the app, the system in a matter of seconds can select about 5 ideal partners according to the indicated interests for further communication and search for common ground.

Everyone has a type when it comes to choosing a partner by the looks. In this case, facial recognition opens up vast opportunities for engaging users in search-related activities. Users can select options using a filter, and the system will show them suitable options for a potential partner.

During the application process, the user scans the ID card through the mobile phone camera for identity verification. Enface recognizes the numerous security features of the ID card during authentication. It makes life much easier for users.

Often there are situations when people, out of pure curiosity or selfish goals, try to deceive the camera. Enface detects if the person in front of the camera is real, preventing people from using someone's photo and/or video for identity fraud.

You can use AI technology to confirm that the photo on the ID card and the applicant in front of the camera are the same person. With this function, users will not be able to deceive the system by entering false data.

If the user has forgotten the password to the online cinema app, then there is an option to use the face to enter. Therefore, users will not need to store dozens or even hundreds of passwords in their head, everything is simple.

With a face payments system you can provide customers facial recognition-based payments, by linking the biometric authentication systems. When paying, a person looks at the camera, the system finds his picture, compares it with the face, and the money is debited from the card automatically.

Check if the user is watching a movie or ad. If you notice that the user has fallen asleep and the movie continues to play, then after a couple of minutes the system will automatically turn off the video and allow it to resume after waking up.

Adapt your system to possible overlaps in a photo or video: for example, sunglasses, a medical or beauty mask, or anything else. This will help to recognize the faces of users without restrictions. This feature is especially useful during a pandemic.

Enface will help you recognize faces even in the worst lighting conditions, which significantly spoils the quality of the picture. Night vision technology will select the necessary options to adjust lighting, highlights, contrast, etc.

Analyze a series of face related attributes including age, gender, smile intensity, head pose, eye status, emotion, beauty, eye gaze, mouth status, skin status, face image quality and blurriness. Enface will help you analyze every little detail.

When people enter the venue, facial recognition performs real-time authentication. Advanced facial recognition software integrates with time and attendance systems to automatically track and report employee clock-in/out history.

If an employee is late - this is the first sign that the employee is not productive. Lack of seriousness and personal issues can lead to poor customer service. With real-time reporting, managers can see which departments and which employees can improve their productivity.

A combination of multiple terminals connected in one system can serve remote locations and departments and is best suited for larger organizations. Data is real-time. When there is no connection to the server, the device can save all events and automatically send them to the system when the connection is restored.