US 12,488,601 B2
Drowsy driving detection method and system thereof, and computer device
Ying Zhang, Guangdong (CN); Tianlai Wu, Guangdong (CN); Jichen Cai, Guangdong (CN); Dongjian He, Guangdong (CN); Jinzhou Sha, Guangdong (CN); and Chao Chen, Guangdong (CN)
Assigned to GUANGZHOU AUTOMOBILE GROUP CO., LTD., Guangdong (CN)
Appl. No. 17/924,555
Filed by GUANGZHOU AUTOMOBILE GROUP CO., LTD., Guangdong (CN)
PCT Filed Jun. 1, 2021, PCT No. PCT/CN2021/097618
§ 371(c)(1), (2) Date Nov. 10, 2022,
PCT Pub. No. WO2021/249239, PCT Pub. Date Dec. 16, 2021.
Claims priority of application No. 202010535115.6 (CN), filed on Jun. 12, 2020.
Prior Publication US 2023/0230397 A1, Jul. 20, 2023
Int. Cl. G06V 20/59 (2022.01); B60W 40/09 (2012.01); G06V 40/16 (2022.01); G06V 40/18 (2022.01); H04N 23/56 (2023.01)
CPC G06V 20/597 (2022.01) [B60W 40/09 (2013.01); G06V 40/168 (2022.01); G06V 40/18 (2022.01); H04N 23/56 (2023.01); B60W 2540/043 (2020.02); B60W 2540/229 (2020.02)] 15 Claims
OG exemplary drawing
 
1. A drowsy driving detection method, comprising:
acquiring a side face image of a driver currently seated captured by a camera module, wherein the side face image is a left side face image or a right side face image of the driver, wherein the left or right side face image is captured by the camera module from a left or a right side of a head of the driver;
performing a face recognition on the side face image to obtain a side face feature parameter, and determining whether there is an ID file corresponding to the driver currently seated in a driver ID library according to the side face feature parameter, wherein the ID file comprises a side face feature parameter of the driver and a normal eye movement feature parameter of the driver in an awake state; and
periodically acquiring side face images of the driver in a current period captured by the camera module during a driving process, obtaining an eye movement feature parameter of the driver in the current period according to the side face images of the driver in the current period, and determining whether the driver is drowsily driving according to a comparison result between the eye movement feature parameter in the current period and the normal eye movement feature parameter of the driver, if there is an ID file corresponding to the driver currently seated in the driver ID library;
wherein the eye movement feature parameter in the current period comprises at least one of a distance parameter between upper and lower eyelids in the current period, a blink time parameter in the current period, and a parameter of percentage of eyelid closure over the pupil over time in the current period, and the normal eye movement feature parameter of the driver comprises at least one of a distance parameter between normal upper and lower eyelids, a normal blink time parameter, and a parameter of percentage of normal eyelid closure over the pupil over time.