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With the help of facial identification technology, the need of access cards can be eliminated, which can highly reduce the contact and interaction of different parties while storing all data in the server. It can be used in various occasions in order to reduce the chance of making mistakes and minimising physical interactions.
Control access to secure areas
Face recognition is already trusted by millions of people as a way of controlling access to their mobile devices. But face recognition technology can also be used as a primary or secondary form of identification when controlling access to sensitive locations within a city such as government buildings, water reservoirs, power plants and more.
Manage staffs and optimise productivity
Face recognition can also be used to drive productivity within city hall and ensure its workforce is effectively and efficiently serving the needs of the city residents. By tracking the appearances of city workers across the cameras at city hall, the city can easily verify and track attendance records. Similarly, they can use it to confirm that cleaning staff is performing the maintenance being reported as complete.
VERSATILITY OF FACIAL IDENTIFICATION TECHNOLOGY
A smart city generally collects data from humans, devices, and assets to analyse and optimise different aspects of the city. By incorporating facial into smart cities, we can improve smart cities initiatives more efficiently. While a face remains one of the most widely used method of identifying a person, our face has become the focal point of facial identification technology.
Verifying a person’s identity by technologies might seems easy to accomplish by our present technologies, however it is not until recent years that we can achieve an accurate and reliable result due to the advanced algorithms. In the past, many algorithms relied on 2D measurements, but results could be inaccurate due to the different angles and facial expressions.
Each human face has approximately 80 nodal points, once the facial identification system detects a face, it determines the head’s position, size, pose, and unique characteristics, and translates them into a numerical code that represents the features of a subject’s face. The present face recognition technology identifies subjects by capturing images in real time to select facial areas that has higher dense information values, such as the distance between the eyes and the shape of the cheekbones since they are unique and do not change over time.
By years of research and development, AXON Technology has forged a facial identification system that can achieve accurate results even in darkness or some other less ideal situations. The AXON facial identification system not only can identify the face of the subjects, it uses machine learning so that the A.I. can achieve even better results by analysing more data.
In the past, facial recognition was used mainly by the law enforcement to improve security, but it is now being applied to more industries since the technology has become more mature. For instance, there are theme parks uses face recognition to identify annual pass holders so that to can enjoy a VIP experience without further paperwork; retailers and hoteliers can use the technology to identify their VIPs or loyal customers when they walk into the venue, with the aids of CRM system, the computer will send instant alerts to the staffs with together with their preferences, the A.I. can even analyse the pattern and behaviour of the customers and generate reports for the businesses to make better plannings.