The invention relates to the field of oral
medical diagnosis, and discloses an intraoral image-based AI enhanced real-time
occlusion detection
system, which comprises a multi-source intraoral
image acquisition module for acquiring dynamic oral image data through a high-definition oral
endoscope and recording a three-dimensional structure of a
tooth surface by combining a
laser scanning device, meanwhile, force distribution of an
occlusion contact point is collected through a
pressure sensor array; the multi-source intraoral
image acquisition module comprises a
timestamp synchronization unit and is used for performing multi-source synchronization on an oral
image frame sequence and occlusal force distribution data by utilizing a unified
timestamp; through the multi-source in-port
image acquisition module, synchronous acquisition of dynamic images, three-dimensional structure data and bite force distribution is realized, and
time sequence consistency of the data is ensured through
timestamp marking. Compared with a traditional single
data source collection mode, the multi-source collection can comprehensively
record dynamic characteristics in the
occlusion process, rich and accurate input is provided for subsequent AI analysis, and data missing or collection deviation is avoided.