Linux-based, super fast infrared temperature measurement detector with built-in face recognition camera module, capable of personnel access management. It can be used with access gates and attendance for communities, office buildings, schools, hotels, scenic spots, transportation hubs, and other public service places.
Reliable and fast facial recognition and access control
Advanced infrared scanners used by contact-free temperature measurements are able to read the heat distributions on people's body surfaces. They can then convert the measurements into quantifiable temperatures.
Forehead thermometer is an accurate way to measure body temperature. The thermometer takes into account the fact that the skin on the forehead is thinner than other parts of the body. The accuracy of a forehead thermometer has been verified in numerous studies.
Forehead temperature is usually around 37 degree Celcius. It is normal for the forehead to be slightly warmer than the rest of the body because of the close proximity of the brain and eyes.
Thermal scanners are able to detect objects and people by analyzing the heat emanating from them. This technology is often used in airports and other areas where security is an issue.
Temperature scanner with facial recognition starts from RM3500.
Face recognition technology is used in various applications such as security, identification, and customer service. The process of face recognition begins with a picture or a scan of a person's face. The image is then processed using algorithms to identify features that are specific to the person's face. Once the features have been identified, the image can be compared to stored images to verify identity or authenticate an event.
Face recognition technology has many advantages and disadvantages. Advantages of face recognition include that it can be used to identify individuals quickly and accurately, which is important in security and identification applications. Disadvantages of face recognition include that faces can be easily modified, people with certain facial features may be more difficult to recognize, and the technology is not always accurate.
Feature analysis, neural network, eigen faces, and automatic face processing are the major methods of facial recognition. Nevertheless, facial recognition tech is still improving.
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