Facial Recognition in a Crowd

Facial Recognition
Facial Recognition

Face Recognition Improves Safety

Face recognition is used to improve security, prevent crimes, and keep us healthy. The latest facial recognition systems use your IP camera system. They can be used for access control, and provide real-time information about who is entering specific areas in your facility, such as: recently terminated employees returning to work, restraining order alerts, a person of interest, people making threats to employees, contact tracing, etc.

Facial Recognition for Pandemic Control

Face recognition is used to track people within an organization. By maintaining a list of people who come in contact with each other the system builds a database that can be review for contact tracing.

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Face Recognition and Access Control

Facial recognition is used for door access control. The face recognition algorithms are built into the door reader.

Biometric access control provides a very secure way to control access to your organization.

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Facial Recognition in a Crowd

Identifying a person in a crowd can be challenging. Sometimes the person may not be facing in the right direction.

3D facial recognition extends the traditional methods of facial recognition to live-stream accurate capture and identification.

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Facial Recognition in a Crowd

Facial algorithms use your IP camera system to provide live-stream accurate capture and identification. If you need to find the criminal entering your building or walking down the street, this is the best solution for you.

How 3D Face Recognition Works

There are different methods used for matching facial biometrics. The simplest method measures various features of a person’s face, such as the distance between the eyes, or the position of the mouth to the nose.  These geometric measurements or vectors are then coded and stored in a database for later comparison.  This method is usually used for biometric door access control

The second method is more complex and uses sophisticated algorithms including 3D facial processing. This methodology is used in our crowd type facial recognition system. It captures the full facial image and uses as much information as it can. It then uses various computer algorithms, including machine learning, to build a set of definition data.  This statistical database increases the reliability of the facial recognition system. This is one of the methods used for finding a face in a crowd. It uses IP cameras and integrates with Video Management Software such as Ocularis 5.

Three-dimensional face recognition (3D face recognition) is a method of facial recognition where the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling other biometric recognition.

3D face recognition measures the geometry of rigid features on the face. This avoids such pitfalls of 2D face recognition algorithms as a change in lighting, different facial expressions, make-up and head orientation.


  • Identifies human subjects at a distance where the subject’s face is as little as 25 pixels high
  • Performs analysis and recovery of camera focus, head pose, quality and directions of light sources, facial expression, and security camera lens distortion
  • Executes 25 million template comparisons per second per 3.3GHz CPU
  • Provides Operator assisted gallery boosting to further refine existing galleries.
  • Integrates with Ocularis 5 Video Management Software.

3D-Face Recognition Features

Face recognition in a crowd
  • Pose insensitive – Even if the face is not facing the camera, accuracy is maintained;
  • Illumination – accuracy through variations of indoor & outdoor lighting, including colored lights, and colored lights with changing colors;
  • Shadow – accuracy through variations of illumination within the face itself, such as dappled light via shadows from tree leaves, for example.;
  • Expression – accuracy through alternatives of facial expression even though a given facial expression is not represented by an image of each person holding that expression in the face recognition gallery;
  • Occlusion – accuracy when the face is partially blocked from view;
  • Image quality – accuracy despite variations of face resolution, and image degradation such as compression artifacts and motion blur;
  • Spoofing – ability to recognize and identify an attempt to fool the face recognition system into seeing or not seeing a given individual.

IP Camera System Integration

Facial Recognition Integration with VMS

Our 3D-Face Recognition integrates with video management software solutions such as Ocularis from OnSSI. This integration allows the security person to be notified when a person of interest is detected. It also allows the recorded video to be searched for all the instances when a certain person has been recorded. Here are more features:

  • Improve security and prevent crimes by knowing in real-time who is entering specific areas in your facility, such as: recently terminated employees returning to work, restraining order alerts, a person of interest, people making threats to employees, etc. along with the associated video.
  • For hotels, casinos, and restaurants to incorporate the ability to identify your most valuable clients immediately and respond to their needs intuitively.
  • Alert security in real-time with actions to take by pushing company approved standard operating procedures to the screen when an event occurs.
  • Use face recognition upfront in retail as an obvious deterrent or employ a more subtle and strategic deployment.
  • Having the real-time ability to monitor specific individuals leads to improved security through increased intelligence.
  • Send Email and SMS alerts to designated personnel when predefined events take place.
  • Export facial recognition events to a CSV file format with a single mouse click.
  • Display events in graphical form for easy visual interpretation showing trends of events. Ex: an individual showing up repeatedly at specific locations when other events occur.
  • Reduce installation time with user-friendly built-in test tools which minimize installation setup time and reduce installation costs.

For help determining the right facial recognition system, contact us at 800-431-1658 in the USA, or at 914-944-3425 everywhere else, or use our contact form.