Preventive terminal device and internet system from drowsy and distracted driving on motorways using facial recognition technology

A drowsy driving prevention apparatus employing a facial recognition technology, the apparatus comprising:

• a camera for capturing a driver's face image upon vehicle driving;
• a user registration unit for storing and managing a face vector template of a driver who is a user of the drowsy driving prevention apparatus;
• a face image acquisition unit for converting an analog image of the driver's face image captured by the camera into a digital image stream and storing the converted digital image stream in a memory;
• a face image reader for generating the driver's face vector template based on the digital image stream stored in the memory using the facial recognition technology;
• a drowsy driving analysis unit for comparing/analyzing the driver's face vector template generated from the face image reader and the driver's stored vector template in order to determine a real driver and a driver's drowsy state;
• an anti-drowsy driving unit for outputting anti-drowsy contents if the drowsy driving analysis unit determines that the driver's face is a drowsy driving face;
• and
• a communication unit for transmitting information about a drowsy driving state, including image information, to the outside and receiving corresponding information for eliminating drowsy driving from the outside, if the drowsy driving analysis unit determines that the driver's face is a drowsy driving face.

A drowsy driving prevention system employing a facial recognition technology, the system comprising a drowsy driving prevention apparatus installed within a vehicle and a drowsy driving prevention server communicating with the drowsy driving prevention apparatus wirelessly,

• wherein the drowsy driving prevention apparatus comprises:
• a camera for capturing a driver's face image upon vehicle driving;
• a user registration unit for storing and managing a face vector template of a driver who is a user of the drowsy driving prevention apparatus;
• a face image acquisition unit for converting an analog image of the driver's face image captured by the camera into a digital image stream and storing the converted digital image stream in a memory;
• a face image reader for generating the driver's face vector template based on the digital image stream stored in the memory using the facial recognition technology;
• a drowsy driving analysis unit for comparing/analyzing the driver's face vector template generated from the face image reader and the driver's stored vector template in order to determine a real driver and a driver's drowsy state;
• an anti-drowsy driving unit for outputting anti-drowsy contents if the drowsy driving analysis unit determines that the driver's face is a drowsy driving face;
• a GPS for tracking the driver's position;
• and
• a communication unit for transmitting information about a drowsy driving state, including image information, to the outside and receiving corresponding information for eliminating drowsy driving from the outside, if the drowsy driving analysis unit determines that the driver's face is a drowsy driving face, and
• wherein the drowsy driving prevention server comprises:
• a member registration unit for registering therein a driver who will be provided with various anti-drowsy driving services over a wireless Internet as a member, storing the member's face vector template at normal times, and using the member's face vector template as an authentication key;
• an anti-drowsy contents management unit for storing and managing anti-drowsy contents for preventing drowsy driving;
• a face authentication unit for comparing a member's first face vector template received from the drowsy driving prevention apparatus and the registered face vector template in order to determine whether the member is a service member;
• a drowsy driving determination unit for analyzing a vector template from the member's real-time face image received from the drowsy driving prevention apparatus and continuously comparing/analyzing the member's real-time face image and the member's stored vector template in order to determine the driver's drowsy state;
• an anti-drowsy service unit for providing the anti-drowsy contents to the drowsy driving prevention apparatus if the drowsy driving determination unit determines that the driver is in a drowsy driving state;
• and
• a communication unit for transmitting and receiving various data while communicating with the drowsy driving prevention apparatus using wired/wireless communication methods.

A method of preventing drowsy driving employing a typical facial recognition technology, the method comprising the steps of:

• registering a driver's face vector template, which is extracted from a driver's face, as a vehicle's driver in a drowsy driving prevention apparatus installed within the vehicle;
• converting a driver's face captured by a camera into a digital image stream and storing the converted digital image stream in a memory;
• generating a small-sized vector template based on the digital image stream stored in the memory using a face recognition algorithm for recognizing characteristics unique to the driver's face;
• comparing the driver's generated first face vector template and the small-sized vector template in order to authenticate the driver;
• comparing the driver's captured face vector template and the driver's stored vector template in order to determine the driver's drowsy state;
• if it is determined that the driver is in a drowsy driving state, outputting anti-drowsy contents;
• transmitting the driver's first face vector template and an image of a drowsy driver that is captured in real-time to a drowsy driving prevention server through wireless communication;
• allowing the drowsy driving prevention server to compare the driver's face recognition vector template received from the drowsy driving prevention apparatus and a member's vector template stored in the drowsy driving prevention server in order to determine whether the driver is a service member;
• analyzing a vector template from the member's real-time face image and comparing/comparing the member's real-time vector template and the stored vector template in order to determine the driver's drowsy state;
• and
• if the registered drowsy driving is determined, transmitting anti-drowsy contents stored in the drowsy driving prevention server to the drowsy driving prevention apparatus.