Smart Digital Recognition

Many industries require a security system that is both accurate and intelligent in a way that it is self-learning and productive at the same time. All those are possible using Smart IoT’s Facial Recognition system that is not just Cloud-based but also uses AI, ML, IoIT and Edge Computing for maximum support on transfer of millions of data at a time-efficient manner.

We integrated smart IoT, AI analytics, smart sensors, ML, and Edge Computing with our VMS solutions to provide the best facial recognition in the UAE

Smart Digital Recognition

Many industries require a security system that is both accurate and intelligent in a way that it is self-learning and productive at the same time. All those are possible using Smart IoT’s Facial Recognition system that is not just Cloud-based but also uses AI, ML, IoIT and Edge Computing for maximum support on transfer of millions of data at a time-efficient manner.

We integrated smart IoT, AI analytics, smart sensors, ML, and Edge Computing with our VMS solutions to provide the best facial recognition in the UAE

Uses of Facial Recognitions

  • Crowd Management malls, train station, airports, etc. security crowd management
  • Investigationcrime investigations or suspect arrests, prevention of terror acts
  • Events/Operation identify clients, investigate their operations to prevent fraud, & stop blacklisted people
  • Company operationstrack employees’ attendance, improve customer satisfaction, prevent offenders

How Facial Recognition Works

Artificial Intelligence (AI) – a machine learning component that works like the human brain (sometimes, even surpasses it) does the intelligent gathering of data through camera lenses. AI is trained on a dataset to map faces based on images. Facial Recognition records data of physical features even on different angles, lighting, and other factors affecting physical recognition.

  • After AI gathers data, it sends these data to the Cloud through wireless connectivities. This becomes the root of data communication to come up with a final outcome based from hundreds to thousands of facial similarities.
  • Smart IoT uses Edge Computing that provides faster, smarter, and more accurate results. In case of unexpected delay within the works of IoT in the Cloud, Edge Computing automatically sends the appropriate results and action to support the solution.
  • After AI gathers data, it sends these data to the Cloud through wireless connectivities. This becomes the root of data communication to come up with a final outcome based from hundreds to thousands of facial similarities.
  • Smart IoT uses Edge Computing that provides faster, smarter, and more accurate results. In case of unexpected delay within the works of IoT in the Cloud, Edge Computing automatically sends the appropriate results and action to support the solution.

How Facial Recognition Works

Artificial Intelligence (AI) – a machine learning component that works like the human brain (sometimes, even surpasses it) does the intelligent gathering of data through camera lenses. AI is trained on a dataset to map faces based on images. Facial Recognition records data of physical features even on different angles, lighting, and other factors affecting physical recognition.

Face Detection

Face Capture

Face Conversion

Face Match