Systems and methods for producing an image visualization
US-2017109940-A1 · Apr 20, 2017 · US
US10499216B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10499216-B2 |
| Application number | US-201815990550-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 25, 2018 |
| Priority date | May 2, 2016 |
| Publication date | Dec 3, 2019 |
| Grant date | Dec 3, 2019 |
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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 system, comprising: a processor coupled to a wireless transceiver; a camera to capture device environment, wherein the camera determines distances of the neighboring objects from the camera; code to change insurance cost based on safe driver behavior as detected by the processor by increasing insurance cost for a first driver behavior and decreasing insurance cost for a second driver behavior, and wherein the processor collects travel data from drivers. 2. The system 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 system of claim 1 , comprising a module to follow other third parties or a module to follow other devices in a flock. 4. The system of claim 1 , wherein the device comprises a road contacting surface, air contacting surface or water contacting surface. 5. The system of claim 1 , comprising a gesture identifying component configured to identify hand or finger gesture to the device. 6. The system of claim 1 , comprising an optical positioning system. 7. The system of claim 6 , wherein the positioning system comprises a laser positioning system. 8. The system of claim 1 , comprising a sensor to detect an imminent impact and activate crash protection for a user. 9. The system 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 system of claim 1 , comprising an emotion detector to detect a user condition. 11. The system of claim 1 , comprising an accelerometer and a camera to detect a potential impact. 12. The system of claim 1 , comprising a cloud computer coupled to the processor to predict an impact and to protect a user for the impact. 13. The system of claim 1 , comprising at least a second camera to capture car interior. 14. The system of claim 1 , comprising a module to follow other vehicles or a module to follow vehicles in a flock. 15. The system of claim 1 , wherein the device comprises a road contacting surface, further comprising a positioning system. 16. The system of claim 1 , comprising a gesture identifying component to recognize hand or finger gesture to the device. 17. The system of claim 1 , comprising returning from user control to processor control upon user activation. 18. The system of claim 1 , wherein prior to taking control, the processor scans the surroundings and determines any obstacles or objects in the immediate vicinity which reduce safety. 19. The system of claim 1 , wherein a driver maintains control of the device before entering into an autonomous mode. 20. The system of claim 1 , comprising code to relinquish control of the device back to a driver if safe, and otherwise collect travel data from neighboring vehicles and coordinate travel path for a plurality of vehicles to increase safety and decrease travel cost, travel time, energy cost, air pollution.
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