IP Library Granted Patent US 11,100,886
Granted Patent B2
US 11,100,886 · App. 16/479,136 · Granted Aug 24, 2021

Smart window, control method thereof, and transport vehicle

Inventors: Xitong Ma (Beijing, CN); Tao Li (Beijing, CN); Naifu Wu (Beijing, CN); Qi Zeng (Beijing, CN)
Assignee: BOE TECHNOLOGY GROUP CO., LTD.
G09G5/00B60J1/20B60K35/00G06F3/013B60K2370/152B60K2370/785G09G2320/0238G09G2320/0261G09G2354/00G09G2380/10
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Quick Facts
Patent No.
US 11,100,886
App. No.
16/479,136
Granted
Aug 24, 2021
Kind
B2
Abstract

The present disclosure provides a smart window, a control method thereof, and a transport vehicle. The smart window may include a detector, a collector, a displayer and a processor. The detector is configured to detect whether a close-range scene exists. The collector is configured to collect position information of a human eye. The processor is connected to the detector and the collector, and configured to calculate coordinates of the close-range scene, calculate coordinates of the human eye according to the position information of the human eye, obtain a frame-extracted area according to the coordinates of the close-range scene and coordinates of the human eye, perform black insertion for pixels in the frame-extracted area in the displayer, and generate a display signal. The displayer is connected to the processor and configured to display according to the display signal.

Claims (52)

1. A smart window, comprising:

a detector;

a collector;

a displayer; and

a processor,

wherein the detector is configured to detect whether a close-range scene exists,

wherein the collector is configured to collect position information of a human eye,

wherein the processor is connected to the detector and the collector, and is configured to calculate coordinates of the close-range scene, calculate coordinates of the human eye according to the position information of the human eye, obtain a frame-extracted area according to the coordinates of the close-range scene and coordinates of the human eye, perform black insertion for pixels in the frame-extracted area in the displayer, and generate a display signal, and

wherein the displayer is connected to the processor and configured to display according to the display signal;

wherein the processor is further configured to determine whether a moving speed of the smart window is greater than or equal to a speed threshold, and send a detection instruction to the detector and a collection instruction to the collector when it is determined that the moving speed of the smart window is greater than or equal to the speed threshold,

wherein the detector is further configured to detect whether the close-range scene exists according to the detection instruction, and

wherein the collector is further configured to collect the position information of the human eye according to the collection instruction.

2. The smart window according to claim 1 , wherein the detector comprises a plurality of infrared sensors.

3. The smart window according to claim 2 , wherein the plurality of infrared sensors are in a direction vertical to the ground.

4. The smart window according to claim 2 , wherein the processor is configured to calculate the coordinates of the close-range scene according to coordinates of an infrared sensor of the plurality of infrared sensors that detects the close-range scene, the moving speed of the smart window, a moving duration of the smart window after the close-range scene is detected, and a distance between the infrared sensor and the close-range scene.

5. The smart window according to claim 1 , wherein the displayer comprises a transparent display screen.

6. The smart window according to claim 1 ,

wherein the position information of the human eye comprises a distance between the human eye and the collector, an angle between a line segment connecting the human eye with the collector and a first direction, and an angle between the line segment connecting the human eye with the collector and a second direction, and

wherein the first direction is a direction vertical to the ground, and the second direction is a moving direction of the smart window.

7. The smart window according to claim 1 , wherein the detector is configured to detect whether there is a close-range scene within a threshold distance.

8. The smart window according to claim 1 , wherein the processor is configured to calculate the coordinates of the human eye according to coordinates of the collector and the position information of the human eye.

9. The smart window according to claim 1 , wherein the processor is configured to obtain coordinates of an intersection point between a line segment connecting the human eye with the close-range scene and the displayer according to the coordinates of the close-range scene and the coordinates of the human eye, and obtain a frame-extracted area according to the coordinates of the intersection point and a resolution of the displayer.

10. A transport vehicle, comprising a plurality of smart windows according to claim 1 .

11. A method for controlling a smart window, the method applied to the smart window according to claim 1 , the method comprising:

detecting whether a close-range scene exists;

collecting position information of a human eye;

calculating coordinates of the close-range scene;

calculating coordinates of the human eye according to the position information of the human eye;

obtaining a frame-extracted area according to the coordinates of the close-range scene and the coordinates of the human eye;

performing black insertion for pixels in the frame-extracted area in the displayer, and generating a display signal; and

displaying according to the display signal.

12. The method according to claim 11 , wherein before detecting whether a close-range scene exists and collecting the position information of the human eye, the method further comprises:

determining whether a moving speed of the smart window is greater than or equal to a speed threshold, and

generating a detection instruction and a collection instruction when it is determined that the moving speed of the smart window is greater than or equal to the speed threshold,

wherein detecting whether a close-range scene exists comprises detecting whether the close-range scene exists according to the detection instruction, and

wherein collecting the position information of the human eye comprises collecting the position information of the human eye according to the collection instruction.

13. The method according to claim 11 , wherein detecting whether the close-range scene exists comprises detecting whether there is a close-range scene within a threshold distance.

14. The method according to claim 11 , wherein the detector comprises a plurality of infrared sensors, and the calculating coordinates of the close-range scene comprises:

calculating the coordinates of the close-range scene according to coordinates of an infrared sensor of the plurality of infrared sensors that detects the close-range scene, a moving speed of the smart window, a moving duration of the smart window after the close-range scene is detected, and a distance between the infrared sensor and the close-range scene.

15. The method according to claim 11 , wherein the position information of the human eye comprises a distance between the human eye and the collector, an angle between a line segment connecting the human eye with the collector and a first direction, and an angle between the line segment connecting the human eye with the collector and a second direction,

wherein the first direction is a direction vertical to the ground, and the second direction is a moving direction of the smart window.

16. The method according to claim 15 , wherein the calculating coordinates of the human eye according to the position information of the human eye comprises:

calculating coordinates of the human eye according to coordinates of the collector and the position information of the human eye.

17. The method according to claim 16 , wherein the coordinates of the human eye are obtained using the following equations:

a=a 0 −l sin θ 1 cos θ 2

b=b 0 −l cos θ 1

c=c 0 −l sin θ 1 sin θ 2 ,

where a represents an x coordinate of the human eye, b represents a y coordinate of the human eye, c represents a z coordinate of the human eye, a 0 represents an x coordinate of the collector, b 0 represents a y coordinate of the collector, and c 0 represents a z coordinate of the collector, l represents the distance between the human eye and the collector, θ 1 represents the angle between the line segment connecting the human eye with the collector and the first direction, and θ 2 represents the angle between the line segment connecting the human eye with the collector and the second direction.

18. The method according to claim 11 , wherein the obtaining the frame-extracted area according to the coordinates of the close-range scene and the coordinates of the human eye comprises:

obtaining coordinates of an intersection point between a line segment connecting the human eye with the close-range scene and the displayer according to the coordinates of the close-range scene and the coordinates of the human eye; and

obtaining a frame-extracted area according to the coordinates of the intersection point and a resolution of the displayer.

19. The method according to claim 11 , wherein performing black insertion comprises inserting a full black frame for pixels within the frame-extracted area in two or more adjacent frames.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 27, 2022
From: BOE TECHNOLOGY GROUP CO., LTD.
To: BEIJING BOE TECHNOLOGY DEVELOPMENT CO., LTD.
Reel/Frame 060826/0252 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 18, 2019
From: MA, XITONG; LI, TAO; WU, NAIFU; ZENG, QI
To: BOE TECHNOLOGY GROUP CO., LTD.
Reel/Frame 049794/0756 →
Priority Claims (1)
CN 201810257151.3 · Mar 26, 2018 · national
Continuity (1)
Related Publication 20200357355A1 · Nov 12, 2020