DYNAMIC IMAGE CAPTURE AND PROCESSING

• US 20140160283A1
• Filed: 02/12/2014
• Published: 06/12/2014
• Est. Priority Date: 03/16/2010
• Status: Active Grant

• Current Assignee: Hi-Tech Solutions Incorporated
• Original Assignee: Hi-Tech Solutions Incorporated
• Inventors: Hofman, Yoram, Dvir, Igal
• Granted Patent: US 11,657,606 B2
• Time in Patent Office: Days
• US Class Current: 348/143
• CPC Class Codes: G06V 10/147 Details of sensors, e.g. sensor lenses fingerprint or palmprint sensors G06V40/13; vascular sensors G06V40/145; eye sensors G06V40/19
• CPC Class Codes: G06V 10/96 Management of image or video recognition tasks
• CPC Class Codes: G06V 20/625 License plates
• CPC Class Codes: G06V 2201/08 Detecting or categorising vehicles

Abstract

Systems and methods are disclosed for dynamic image capture and processing. In one implementation, a processing device receives a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters. The processing device processes the first video stream with a first set of processing parameters. The processing device receives a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters. The processing device processes the second video stream with a second set of processing parameters. The processing device provides an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.

Claims

1. A method, comprising:

receiving a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters;

processing the first video stream with a first set of processing parameters;

receiving a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters;

processing, by a processing device, the second video stream with a second set of processing parameters; and

providing an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.

2. The method of claim 1, wherein processing the first video stream comprises processing the first video stream with the first set of processing parameters to identify a presence of one or more elements within the first video stream.

3. The method of claim 2, wherein processing the second video stream comprises:

based on an identification of the presence of the one or more elements within the first video stream, processing the second video stream with the second set of processing parameters.

4. The method of claim 2, further comprising based on an identification of the presence of the one or more elements within the first video stream, adjusting a configuration of the optical sensor.

5. The method of claim 2, further comprising based on an identification of the presence of the one or more elements within the first video stream, activating one or more Light Emitting Diodes (LEDs) to emit light within a first spectrum range.

6. The method of claim 1, wherein processing the first video stream comprises processing the first video stream with the first set of processing parameters to detect an incidence of motion within the first video stream.

7. The method of claim 6, wherein the first set of processing parameters comprises a set of motion detection parameters.

8. The method of claim 6, wherein the first set of capture parameters comprises a set of motion detection capture parameters.

9. The method of claim 1, wherein processing the second video stream comprises processing the second video stream with the second set of processing parameters to perform at least one of:

(a) an optical character recognition (OCR) process,

(b) a license plate recognition (LPR) process,

(c) a vehicle motion detection (VMD) process,

(d) a vehicle identity recognition (VIR) process,

(e) counting a number of vehicles,

(f) a speed calculation process,

(g) counting a number of passengers,

(h) a facial recognition process, or

(i) an Amber alert identification process,

in relation to the second video stream.

10. The method of claim 9, wherein the second set of processing parameters comprises a set of parameters configured for at least one of

(a) the OCR process,

(b) the LPR process,

(c) the VMD process,

(d) the VIR process,

(e) counting a number of vehicles,

(f) the speed calculation process,

(g) counting a number of passengers,

(h) the facial recognition process, or

(i) the Amber alert identification process.

11. The method of claim 9, wherein the second set of capture parameters comprises a set of at least one of

(a) a set of OCR capture parameters,

(b) a set of LPR capture parameters,

(c) a set of VMD capture parameters,

(d) a set of VIR capture parameters,

(e) a set capture parameters for counting a number of vehicles,

(f) a set of speed calculation capture parameters,

(g) a set of capture parameters for counting a number of passengers,

(h) a set of facial recognition capture parameters, or

(i) a set of Amber alert identification capture parameters.

12. The method of claim 1, wherein at least one of the first set of capture parameters or the second set of capture parameters comprise at least one of one or more camera sensor settings, one or more exposure settings, one or more gain settings, one or more focus settings, one or more resolution settings, one or more region of interest settings, or one or more backlight settings.

14. The system of claim 12, wherein to process the first video stream is to process the first video stream with the first set of processing parameters to identify a presence of one or more elements within the first video stream.

17. The system of claim 12, wherein to process the first video stream is to process the first video stream with the first set of processing parameters to detect an incidence of motion within the first video stream.

18. The system of claim 12, wherein to process the second video stream is to process the second video stream with the second set of processing parameters to perform at least one of

(a) an optical character recognition (OCR) process,

(b) a license plate recognition (LPR) process,

(c) a vehicle motion detection (VMD) process,

(d) a vehicle identity recognition (VIR) process,

(e) counting a number of vehicles,

(f) a speed calculation process,

(g) counting a number of passengers,

(h) a facial recognition process, or

(i) an Amber alert identification process

in relation to the second video stream.

19. The system of claim 18, wherein the second set of processing parameters comprises a set of parameters for at least one of

(a) the OCR process,

(b) the LPR process,

(c) the VMD process,

(d) the VIR process,

(e) counting a number of vehicles,

(f) the speed calculation process,

(g) counting a number of passengers,

(h) the facial recognition process, or

(i) the Amber alert identification process.

13. A system comprising:

a memory; and

a processing device, coupled to the memory, to;

receive a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters;

process the first video stream with a first set of processing parameters;

receive a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters;

process the second video stream with a second set of processing parameters; and

provide an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.

15. The system of claim 13, wherein to process the second video stream is to process, based on an identification of the presence of the one or more elements within the first video stream, the second video stream with the second set of processing parameters.

16. The system of claim 13, wherein the processing device is further to adjust a configuration of the optical sensor based on an identification of the presence of the one or more elements within the first video stream.

20. A non-transitory computer readable medium having instructions stored thereon that, when executed by a processor, cause the processor to perform operations comprising:

receiving a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters;

processing the first video stream with a first set of processing parameters;

receiving a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters;

processing, by the processor, the second video stream with a second set of processing parameters; and

providing an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.