| dc.description.abstract | One of the most common oral health problems in recent years is caries.
Caused by bacteria available in the mouth. When there is food on the tooth surface,
especially sugar and starch, the bacteria will break down the food to create acid that
erodes tooth enamel, forming a cavity. It has an impact on patients' physical and
mental health, make them lose their confidence. Numerous medical procedures
such as: clinical methods, X-rays, Fluorescence, Optical Coherence Tomography
(OCT), and in particular the near-infrared (NIR) technique, have been developed
for the identification of dental abnormalities. In the meanwhile, NIR light
technology uses extremely precise infrared imaging of tooth structures to detect
anomalies early.
In a previous version of this device, Mr. Dac Can has efficiently used near
infrared light's characteristics to detect tooth disease at an early stage, but it has
certain limitations. So, in this version, my project has resolved the aforementioned
issues by applying two Near-Infrared SMD led, which can emit the beam directly
to the teeth without the optical fiber due to the small size. Then, I remove the box
controller, which means I don’t need the raspberry processor anymore, and put all
the result transfer to the app on the computer by coding the app in python languages.
After testing on approximately 30 teeth with decay and without decay, the
result gives the clear image and high resolutions, hence this version is superior to
compare with the previous version, duo to significant changes and upgrades.
Despite coming across various, seemingly insurmountable challenges while
developing the project, such as bugs in the coding and a lack of resources. In the
end, the gadget fulfilled the requirements of the project and was getting closer to
customers' homes as well as clinical and dental. | en_US |
