In recent years, with the widespread application of 3D face recognition technology in mobile phones, finance and other fields, people have a full understanding of 3D face recognition technology, and it has also accelerated its application in other fields. Among them, 3D face recognition has become one of the main recognition technologies for smart door locks.
3D face recognition technology mainly includes three technical schools: binocular, 3D structured light and ToF sensor. So, how does ToF sensor technology differ from the other two technologies? Is it suitable for use in the field of smart locks? What are the advantages of ToF sensor technology? What kind of experience will it bring to smart lock users?
DOMI 3D tof sensor module perfectly integrates 3D vision algorithms and chips, providing a complete ToF facial recognition solution for smart lock brands. So, what is tof sensor facial recognition technology? tof sensor facial recognition technology uses a laser transmitter to send out light pulses. After encountering an object, the light will be reflected, and then the tof sensor chip captures the flight time of the light. The distance between the object and the lens can be determined by simple formula calculation.
Compared with other 3D facial recognition technologies, tof sensor facial recognition technology has the advantages of fast response time, good adaptability to low-light environments, low power consumption, low cost, and small size. From these advantages, it can be seen that the fast response time and strong adaptability to low-light environments mean that the tof sensor technology will bring users a faster unlocking experience, and there is no need to worry about light affecting the unlocking; low power consumption means that the tof sensor technology will be intelligent The door lock brings better battery life; and the low cost means that it can bring a lower-cost 3D facial recognition solution to the smart door lock brand, so as to create a cost-effective 3D facial recognition smart lock product.