Interacting with Peer Devices Based on Machine Detection of Physical Characteristics of Objects

• US 20120001724A1
• Filed: 07/01/2010
• Published: 01/05/2012
• Est. Priority Date: 07/01/2010
• Status: Abandoned Application

• Current Assignee: Nokia Corporation
• Original Assignee: Nokia Corporation
• Inventors: Belimpasakis, Petros
• Application Number:
  US12/828,571
• Publication Number:
  US 20120001724A1
• Time in Patent Office: Days
• US Class Current: 340/5.1
• CPC Class Codes: G16Y 40/10 Detection; Monitoring
• CPC Class Codes: H04L 12/2803 Home automation networks
• CPC Class Codes: H04L 9/40 Network security protocols
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

An inherent physical characteristic of a target object is detected via a sensor of a user device. The inherent physical characteristic is not intended for machine reading. The target object is identified based on comparing the inherent physical characteristic to data representative of a type of the target object. Data processing actions are engaged in with the target object via a network in response at least to identifying the type of the target object.

Claims

1. An apparatus, comprising:

at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform;

detect an inherent physical characteristic of a target object via a sensor, wherein the inherent physical characteristic is not intended for machine reading;

identify the target object based on comparing the inherent physical characteristic to data representative of a type of the target object; and

engage in data processing actions with the target object via a local network in response at least to identifying the type of the target object.

2. The apparatus of claim 1, wherein the inherent physical characteristic of the target object comprises an overall appearance of a target device.

3. The apparatus of claim 1, wherein the inherent physical characteristic comprises an as-manufactured physical configuration of a device.

4. The apparatus of claim 1, wherein detecting the inherent physical characteristic of the target object via the sensor comprises capturing an image of the target object, and wherein identifying the target object comprises comparing the image to a stored image.

5. The apparatus of claim 4, wherein the stored image comprises a previously captured image of the target object obtained via the sensor.

6. The apparatus of claim 4, wherein the stored image comprises a previously captured image of an equivalent object.

7. The apparatus of claim 1, wherein the data representative of the type of the target object comprises one or more of a mathematical model of geometry of the target object and feature data of an image of the target object.

8. The apparatus of claim 1, wherein the target object comprises a peer device of the apparatus, and wherein the processor further causes the apparatus to obtain the data representative of the type of the target object through service discovery via an ad-hoc, peer-to-peer network.

9. The apparatus of claim 1, wherein the target object comprises a media renderer, and wherein engaging in data processing actions with the target object via the local network comprises sending media to the media renderer to be rendered.

10. A method, comprising:

detecting an inherent physical characteristic of a target object via a sensor of a user device, wherein the inherent physical characteristic is not intended for machine reading;

identifying the target object based on comparing the inherent physical characteristic to data representative of a type of the target object; and

engaging in data processing actions with the target object via a local network in response at least to identifying the type of the target object.

11. The method of claim 10, wherein the inherent physical characteristic of the target object comprises an overall appearance of a target device.

12. The method of claim 10, wherein the inherent physical characteristic comprises an as-manufactured physical configuration of a device.

13. The method of claim 10, wherein detecting the inherent physical characteristic of the target object via the sensor comprises capturing an image of the target object, and wherein identifying the target object comprises comparing the image to a stored image.

14. The method of claim 13, wherein the stored image comprises a previously captured image of the target object obtained via the sensor.

15. The method of claim 13, wherein the stored image comprises a previously captured image of an equivalent object.

16. The method of claim 10, wherein the data representative of the type of the target object comprises one or more of a mathematical model of geometry of the target object and feature data of an image of the target object.

17. The method of claim 10, wherein the target object comprises a peer device of the apparatus, and wherein the method further comprises obtaining the data representative of the type of the target object through service discovery via an ad-hoc, peer-to-peer network.

18. The method of claim 10, wherein the target object comprises a media renderer, and wherein engaging in data processing actions with the target object via the local network comprises sending media to the media renderer to be rendered.

19. A non-transitory computer-readable medium storing instructions that are executable by a processor to perform the method of claim 10.

20. A method comprising:

obtaining, based on service discovery with a target device via an ad-hoc peer-to-peer network, a representative image of the target device;

facilitating selection by a user of media to be rendered via a user device;

obtaining a live, digital image of target device via a camera sensor of the user device;

determining that the target device is intended by the user for rendering the media based on a comparison between the live, digital image and the representative image; and

causing the media to be rendered on the target device based at least on the comparison.