Facial recognition is currently a technology that is being used quite commonly in developed countries. This technology is capable of identifying a person from a previously sampled digital image or from a frame in another video source.

Through AI and deep learning modeling, Smart Camera shows improved accuracy and performance despite daily challenges. Such as long distances, low-resolution videos, or situations where the face is not facing the camera.

The system will discreetly recognize faces by taking pictures of the faces of those who enter from the surveillance camera. This technology, requires no interaction and no delay. In many cases the subject is completely unaware of the process. They do not feel “under surveillance” or that their privacy is violated.

  • Gain more insight into patients and behaviors than ever before.
  • Create a more comfortable, secure and efficient visitor experience through people counting and heat mapping.
  • Minimize risk and prevent unwanted access throughout your facility.
  • Since AI technology is implemented on both camera and server, precise information about each object can be obtained. In addition, you may receive information for marketing analysis such as number of people, age information and gender rating.
  • Simple and easy to use interface suitable for many users.


Face recognition has the advantage that it does not require direct contact or interaction with the people:

  • Sampling: Using traditional CCTV cameras – acting as a device to collect images – video observations to sample data.
  • Analysis: Face recognition software: will receive image and video data obtained from CCTV to perform facial recognition processing from the sample.
  • Compare: The collected data will be compared with the available data in the database
  • Results: The system will decide whether the comparison results are similar or not.

User Cases

  1. Make medical declarations
  2. Issue patient numbers
  3. Access management
  4. Enterprise single sign-on
  5. Multi-factor authentication
  6. Touchless patient identification
  7. Chain of Custody compliance, such as EPCS
  8. Visitor management
  9. Proof of presence
  10. Medical fraud prevention

Recommended system requirements:

CPUCPU E5-2696 v4: 16 vCPU
RAMCPU E5-2696 v4: 16 vCPU
StorageSSD: 500 GB
OSWindows Server 64-bit / Ubuntu Server.
NETBroadband Internet connection


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