Fatigue driving identification system and identification method thereof
A fatigue driving and face technology, applied in the field of identification systems, can solve the problems of unsuitable application of drivers and insufficient practical application, and achieve the effect of reducing traffic accidents and improving safety.
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no. 2 Embodiment
[0090] see Figure 9 as shown, Figure 9 It is a schematic diagram of the system architecture of the second embodiment of the present invention. Compared with the first embodiment, the main structural difference of the second embodiment is that the fatigue driving recognition system 100 further includes at least one warning module 50, and the warning module 50 is electrically connected to the monitoring module 30, when the When the optical recognition module 20 recognizes the fatigue state of the object under test 200, the transmission unit 24 sends the alarm notification information to the monitoring module 30, and at the same time activates the warning module 50 to remind the driver. In this embodiment, the warning The module 50 is a speaker, and the warning module 50 emits a sound to remind the driver. But the present invention is not limited thereto. In another preferred embodiment, the warning module 50 is a smart phone or a steering wheel. When the warning module 50 is...
no. 1 Embodiment
[0092] (Step flow of the identification method of the first embodiment)
[0093] see Figure 10 shown, and with Figure 1 to Figure 9 as shown, Figure 10 It is a schematic flow chart of the identification method in the first embodiment of the present invention. Based on the aforementioned fatigue driving identification system 100, the present invention further provides an identification method of the fatigue driving identification system 100, which includes the following steps:
[0094] Step S1: The image capture unit 21 of the optical identification module 20 emits the laser beam or the LED beam to the face of the object under test 200, and the wavelength of the laser beam is between 940nm and 1350nm.
[0095] Step S2: Scan the face of the object under test 200, and capture the face image information.
[0096] Step S3: The image receiving unit 22 uses at least one face comparison image information to obtain face scale information to correct the scale.
[0097] Step S4: ...
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