Apparatus, systems and methods for improved facial detection and recognition in vehicle inspection security systems
Devices, systems, and methods provide for improved facial detection and facial recognition in vehicle interior inspections. In various embodiments, one or more high-resolution cameras having one or more lens and filter attachments operate in conjunction with one or more auxiliary illumination devices and a related computer system. According to various embodiments, an auxiliary illumination device can be synchronized to one or more cameras, and configured to supply auxiliary illumination to facilitate capture of accurate and usable images. The filter(s) and advanced image processing solutions assist with facial detection and identifying individuals inside a vehicle, removing light glare and undesired reflections from a window surface, and capturing an image through a tinted window, among other things. Further, embodiments can compare a captured image to an authenticated image from a database, in order to confirm the identity of a vehicle occupant.
1. A method for identifying a vehicle occupant, comprising:
providing a camera comprising a camera lens having a field of view directed towards an oncoming vehicle;
detecting via a sensor, the presence of the oncoming vehicle, wherein the vehicle includes at least one vehicle window separating a vehicle interior enclosure from an external environment, wherein the at least one vehicle window has a frame surrounding the at least one vehicle window;
upon detecting the presence of the oncoming vehicle, triggering the automatic capture, by the camera, of a plurality of current facial images of at least one vehicle occupant present within the vehicle interior enclosure when the at least one vehicle window frame is determined, via image analysis, to be maximized in the field of view, wherein each of the plurality of current facial images is captured through the camera lens from a different distance to the oncoming vehicle;
processing the captured plurality of current facial images to remove at least one non-face object;
obtaining, by a processing unit, at least one archived image of at least one individual;
comparing, by the processing unit, at least one of the plurality of processed current facial images with the at least one archived image; and
determining whether the vehicle occupant in the at least one of the plurality of current facial images is the same individual as the at least one individual from the at least one archived image.
2. The method of claim 1 , wherein the step of comparing at least one of the current facial images with the at least one archived image is performed by the processing unit using facial recognition programming.
3. The method of claim 1 , wherein the at least one window frame is a trapezoidal frame of a front windshield of the oncoming vehicle.
4. The method of claim 1 , wherein the step of triggering the automatic capture is further performed when at least a portion of the at least one vehicle occupant is in the field of view.
5. The method of claim 1 , wherein the camera is located in the external environment.
6. The method of claim 1 , wherein the step of triggering the automatic capture is performed through optical flow algorithmic image analysis.
7. The method of claim 1 , including the step of authenticating the at least one vehicle occupant for access to an access-controlled asset based upon the step of comparing, and further based upon one or more of: a detected license plate number, an under-vehicle image, and a readable tag on the vehicle.
8. The method of claim 1 , including the step of determining, by the processing unit, a total number of vehicle occupants in the vehicle interior enclosure based upon the captured plurality of current facial images.
9. A system for identifying a vehicle occupant, comprising:
a camera comprising a camera lens facing a field of view directed towards an oncoming vehicle;
at least one processor; and
at least one memory device storing a plurality of instructions which, when executed by the at least one processor, cause the at least one processor to:
store one or more images of at least one individual person;
automatically trigger the activation of the camera when a frame of a front windshield of a moving vehicle is determined, via image analysis, to be maximized within the field of view so as to capture a plurality of current facial images of at least one vehicle occupant present within the interior enclosure of the vehicle, wherein each of the plurality of current facial images is captured from a different distance to the oncoming vehicle;
processing the captured plurality of current facial images to remove at least one non-face object;
compare at least one of the plurality of current facial images with the one or more stored images of the at least one individual person; and
determine whether the at least one vehicle occupant and the at least one individual person are the same.
10. The system of claim 9 , wherein the frame of the front windshield is a trapezoidal-shaped frame.
11. The system of claim 9 , wherein the plurality of instructions, when executed by the at least one processor, further cause the at least one processor to determine a number of vehicle occupants in the vehicle interior enclosure based upon the captured plurality of current facial images.
12. The system of claim 9 , wherein the plurality of instructions, when executed by the at least one processor, further cause the at least one processor to authenticate the at least one vehicle occupant for access to an access-controlled asset based upon the step of comparing, and further based upon one or more of: a detected license plate number, an under-vehicle image, and a readable tag on the vehicle.
13. The system of claim 9 , wherein the camera is located external to the vehicle.
14. The system of claim 9 , wherein automatically triggering the activation of the camera is performed when at least a portion of the at least one vehicle occupant is in the field of view.
15. The system of claim 9 , wherein automatically triggering the activation of the camera is performed through optical flow algorithmic image analysis.