Drowsy driving detection

A system comprising:

• a memory comprising instructions;
• and
• one or more computer processors, wherein the instructions, when executed by the one or more computer processors, cause the system to perform operations comprising:
• training a drowsiness model with data associated with inward videos and outward videos captured during a trip of a vehicle;
• and
• periodically calculating, by a device at the vehicle, a drowsiness scale index value that indicates a level of drowsiness of a driver, wherein calculating the drowsiness scale index value comprises:
• obtaining a plurality of inward frames from the inward videos;
• for each inward frame, creating a face image by cropping the inward frame;
• obtaining a plurality of outward frames from the outward videos;
• calculating inward embeddings of the face images and outward embeddings of the outward frames;
• and
• calculating, by the drowsiness model, the drowsiness scale index value.

A non-transitory machine-readable storage medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:

• training a drowsiness model with data associated with inward videos and outward videos captured during a trip of a vehicle;
• and
• periodically calculating, by a device at the vehicle, a drowsiness scale index value that indicates a level of drowsiness of a driver, wherein calculating the drowsiness scale index value comprises:
• obtaining a plurality of inward frames from the inward videos;
• for each inward frame, creating a face image by cropping the inward frame;
• obtaining a plurality of outward frames from the outward videos;
• calculating inward embeddings of the face images and outward embeddings of the outward frames;
• and
• calculating, by the drowsiness model, the drowsiness scale index value.