RE: CES 20193 Jan 2019 10:15
https://worldwide.espacenet.com/publicationDetails/description?CC=US&NR=2018357520A1&KC=A1&FT=D&ND=4&date=20181213&DB=&locale=en_EP#
[0045] Referring initially to FIGS. 2 and 3, there is illustrated a driver monitoring system 200 for capturing images of a vehicle driver 230 during operation of the vehicle. System 200 is further adapted for performing various image processing algorithms on the captured images such as facial detection, facial feature detection, facial recognition, facial feature recognition, facial tracking or facial feature tracking, such as tracking a person's eyes. Example image processing routines are described in U.S. Pat. No. 7,043,056 to Edwards et al. entitled “Facial Image Processing System” and assigned to Seeing Machines Pty Ltd, the contents of which are incorporated herein by way of cross-reference. System 200 includes an imaging camera 201 orientated to generate images of the driver's face to identify, locate and track one or more human facial features. Camera 201 may be a conventional CCD or CMOS based digital camera having a two dimensional array of sensors and optionally the capability to determine range or depth (such as through one or more phase detect elements). Camera 201 may also be a three dimensional camera such as a time-of-flight camera or other scanning or range-based camera capable of imaging a scene in three dimensions.
System 400
[0053] In the present invention, the distance between the LEDs and the driver is monitored and a feedback control signal is used by controller 208 to control the output power of the LEDs based on the detected distance. In a first embodiment of the invention illustrated in FIGS. 4 and 5, a driver monitoring system 400 includes a pair of proximity detection devices 260, 262, each of which is co-located or proximately located to respective infrared LEDs 204, 206 to monitor the distance between the driver and LEDs and provide feedback to control the output power of the LEDs. In system 400, corresponding elements of system 200 are designated with like reference numerals. The proximity detection devices 260, 262 comprise either single components or part of a proximity detection system and preferably include known proximity sensors including, for example, capacitive sensors, photoelectric sensors, sonar or ultrasonic sensor. The proximity detection devices may measure a simple one dimensional range or may be more sophisticated to measure the relative position of objects in two or three dimensions. The proximity detection devices are in electrical communication with controller 208 as illustrated in FIG. 4.
System 400/600
[0059] In system 400, each LED is paired with a corresponding proximity detection device. However, in alternative embodiments, a single proximity detection device may be associated with multiple LEDs. Referring now to FIG. 6, there is illustrated an alternative driver monitoring system 600, in which corresponding elements of system 400 are design
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