Systems and methods for producing an image visualization
US-2017109940-A1 · Apr 20, 2017 · US
US11818634B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11818634-B2 |
| Application number | US-202217959255-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 3, 2022 |
| Priority date | May 2, 2016 |
| Publication date | Nov 14, 2023 |
| Grant date | Nov 14, 2023 |
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An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.
Opening claim text (preview).
What is claimed is: 1. A device, comprising: a processor coupled to a wireless transceiver; a camera; a time-of-flight sensor to capture dimensions of nearby objects; and a module to form a 3D model of one of the nearby objects, wherein each of a number of image slices is analyzed separately to determine size and location of an elliptical cross-section of an object in that slice to provide an initial 3D model refined by correlating cross-sections across different slices and by correlating the 3D model with itself across time, wherein an object of interest is illuminated at a predetermined level during scanning. 2. The device of claim 1 , comprising a pressure sensor, a motion sensor, a finger sensor, a digit motion sensor, an EKG sensor, a bio sensor, a medical sensor, or a temperature sensor. 3. The device of claim 1 , comprising a module to determine position and shape of the object of interest based on locations of object edges in time-correlated images from two different cameras, and determine motion of the object from successive pairs of images. 4. The device of claim 1 , wherein the device comprises a road contacting surface, air contacting surface or water contacting surface. 5. The device of claim 1 , comprising a gesture identifying component configured to identify hand or finger gesture to the device. 6. The device of claim 1 , comprising an optical positioning system. 7. The device of claim 6 , wherein the positioning system comprises a laser positioning system. 8. The device of claim 1 , comprising a sensor to detect an imminent impact and activate crash protection for a user. 9. The device of claim 1 , comprising a hidden markov model (HMM) or a deep learning machine to detect patterns from the camera and the accelerometer. 10. The device of claim 1 , comprising an emotion detector to detect a user condition. 11. A system, comprising: an accelerometer and a camera to detect a potential impact; a radio frequency transmitter coupled to the accelerometer for transmitting impact measurements; a module to form a 3D model of one of the nearby objects, wherein each of a number of image slices is analyzed separately to determine size and location of an elliptical cross-section of an object in that slice to provide an initial 3D model refined by correlating cross-sections across different slices and by correlating the 3D model with itself across time, wherein an object of interest is illuminated at a predetermined level during scanning. 12. The system of claim 11 , comprising at least one sensor selected from a sensor set comprising: a pressure sensor, a motion sensor, a finger sensor, a digit motion sensor, an EKG sensor, a bio sensor, a medical sensor, a temperature sensor. 13. The system of claim 11 , comprising a module to follow other third parties or other devices in a flock. 14. The system of claim 11 , wherein the device comprises a road contacting surface, further comprising a positioning system. 15. The system of claim 11 , comprising a gesture identifying component to recognize hand or finger gesture to the device. 16. The system of claim 15 , comprising controlling a window with the gesture. 17. The system of claim 15 , comprising controlling a seat with the gesture. 18. The system of claim 15 , comprising controlling an audio system with the gesture. 19. The system of claim 15 , comprising controlling a temperature with the gesture. 20. The system of claim 15 , comprising controlling a vehicle management system with the gesture.
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