The invention discloses a
disease prediction system and a
disease prediction method based on
urine image recognition, which are used for analyzing the physical properties of a
urine sample by measuring the optical properties (such as
reflectivity, polarization state and the like) of the
urine sample by using a polarized light technology so as to realize the prediction and
early detection of diseases. The
light source module achieves time-sharing excitation through LED sets arranged in an
annular array,
mirror reflection components are separated in real
time based on a polarization filter in a reflection suppression mode, a
light source is directly driven to close a decision, a real-time
closed loop from optical
perception to
light source control is formed, and dynamic liquid level reflection
noise is eliminated from the source. The
image acquisition module is combined with an ambient light differential compensation mechanism, and the angle of a polarization filter and a light source is cooperatively calibrated, so that the
system stably works under a non-
camera obscura condition; the control module dynamically adjusts the detection frequency based on the liquid level curvature change rate, the urine image color fidelity and the
disease prediction accuracy are improved, meanwhile, user operation inclination tolerance is compatible, and the use reliability is improved.