ENVIRONMENTAL ANALYSIS

• US 20150245139A1
• Filed: 02/23/2015
• Published: 08/27/2015
• Est. Priority Date: 02/21/2014
• Status: Active Grant

• Current Assignee: New York University
• Original Assignee: New York University
• Inventors: Park, Tae Hong
• Granted Patent: US 9,658,100 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01H 3/125 for representing acoustic field distribution using optical means G01H9/002; sonar systems for imaging G01S7/56, G01S15/89; acoustic holography G03H3/00

Abstract

An environmental analysis system and method. Remote sensing devices detect nonvisual information. One or more loudspeakers are each associated with one or more of the plurality of remote sensing devices to determine acoustic properties of an area. Another implementation relates to a method for environmental analysis where non-visual information is detected. The non-visual information is classified and is communicated to a server.

Claims

1. An environmental analysis system comprising:

a plurality of remote sensing devices each having at least one microphone, a central processing unit, a communication module, and a power source;

one or more loudspeakers each associated with one or more of the plurality of remote sensing devices.

2. The environmental analysis system of claim 1, wherein the plurality of remote sensing devices further comprise one or more of a moisture sensor, temperature sensor, accelerometer, air quality sensor, light sensor, color sensor, and electromagnetic radiation sensor.

3. The environmental analysis system of claim 1, further comprising a server in communication with the plurality of remote sensing devices.

4. The environmental analysis system of claim 1, wherein the server includes a machine learning module.

5. The environmental analysis system of claim 1, wherein the at least one remote sensing device comprises at least one main device and a plurality of mini devices, the main device including the central processing unit and a communications module;

each of the plurality of mini devices including a local communication module and a sensor.

6. The environmental analysis system of claim 1, wherein the power source is a wireless power source in communication with the microphone.

7. The environmental analysis system of claim 1, further comprising a tamper evident device.

8. The environmental analysis system of claim 7, wherein the tamper evident device includes a ultrasonic emitter and receiver.

10. The method of claim 6, wherein the non-visual information comprise one or more of sound and echo, humidity/moisture, temperature, low frequency vibration, air quality, light, color, smell, and electromagnetic radiation

11. The method of claim 6, wherein the one non-visual data is acoustic information.

12. The method of claim 8, further comprising recording a sound associated with the acoustic information.

13. The method of claim 6, wherein a plurality of sensors are associated with a room and each detect a portion of the acoustic information;

14. The method of claim 6, further comprising determining the spatio-acoustics of the room.

15. The method of claim 6, further comprising associating detected non-visual information with visual information associated with an environment.

16. The method of claim 12, wherein the visual information is a picture or video.

17. The method of claim 6, further comprising applying machine learning techniques for classifying the non-visual feature.

18. The method of claim 6, wherein a first portion of the plurality of sensors are positioned in a first room and a second portion of the plurality of sensors are positioned in a second room.

19. The method of claim 15, wherein the first portion includes a loudspeaker and an acoustic pulse is emitted by the loudspeaker and detected by the second portion, and further comprising determining the acoustic relation between the first room and the second room.

9. A method for environmental analysis comprising:

detecting non-visual information;

classifying the non-visual information;

communicating the non-visual feature to a server.

20. A computer-implemented machine for environmental analysis comprising:

a microphone,

a processor; and

a tangible computer-readable medium operatively connected to the processor and including computer code configured to;

receive audio information from the microphone;

classify the audio information to identify a feature;

communicate the feature to a server.