ENVIRONMENTAL ANALYSIS

• US 20170307435A1
• Filed: 05/08/2017
• Published: 10/26/2017
• Est. Priority Date: 02/21/2014
• Status: Abandoned Application

• Current Assignee: New York University
• Original Assignee: New York University
• Inventors: PARK, Tae Hong
• Application Number:
  US15/589,983
• Publication Number:
  US 20170307435A1
• Time in Patent Office: Days
• 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:

an environmental analysis main device including a first central processing unit and a first communication module, the environmental analysis main device in communication with a server;

a remote sensing device having at least one microphone, a second central processing unit, a second communication module, and a power source, the second communication module of the remote sensing device in communication with the first communication module of the environmental analysis main device;

one or more loudspeakers each associated the remote sensing device; and

an external module having a microphone in communication with an opto-isolation transmitter paired with an opto-isolation receiver in communication with the environmental analysis main device.

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

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

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

5. The environmental analysis system of claim 1, further comprising a tamper evident device associated with the remote sensing device.

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

7. The environmental analysis system of claim 1, wherein the environmental analysis system further comprises a contact microphone in communication with the remote sensing devices.

8. The environmental analysis system of claim 1, further comprising the remote sensing device having a telescoping microphone system, the telescoping microphone system having the microphone disposed on a tip.

9. A method for environmental analysis comprising:

detecting non-visual information;

classifying the non-visual information;

communicating the non-visual feature to a server.

10. The method of claim 9, 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 9, wherein the one non-visual data is acoustic information.

12. The method of claim 11, further comprising recording a sound associated with the acoustic information.

13. The method of claim 9, wherein a plurality of sensors are associated with a room and each detect a portion of the acoustic information;

14. The method of claim 9, further comprising determining the spatio-acoustics of the room.

15. The method of claim 9, further comprising associating detected non-visual information with visual information associated with an environment.

16. The method of claim 15, wherein the visual information is a picture or video.

17. The method of claim 9, further comprising applying machine learning techniques for classifying the non-visual feature.

18. The method of claim 9, 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. A method for environmental analysis comprising:

detecting acoustic information;

classifying the acoustic information;

communicating the classifying to a server.

20. The method of claim 19, further wherein classifying comprises indexing the acoustic information to an identifier.

21. The method of claim 19, further comprising determining a background soundscape from the acoustic information.

22. The method of claim 21, further comprising identifying a salient acoustic event from the detected acoustic information.

23. The method of claim 22, wherein communicating to the service further comprises communicating a change in background soundscape.