SOCIAL INTELLIGENCE, TRACKING AND MONITORING SYSTEM AND METHODS

• US 20140015967A1
• Filed: 03/15/2013
• Published: 01/16/2014
• Est. Priority Date: 07/16/2012
• Status: Abandoned Application

• Current Assignee: 214 Technologies, Inc. (Pangiam)
• Original Assignee: 214 Technologies, Inc. (Pangiam)
• Inventors: Moore, Shaun, Chafni, Nezare
• Application Number:
  US13/837,117
• Publication Number:
  US 20140015967A1
• Time in Patent Office: Days
• US Class Current: 348/143
• CPC Class Codes: H04M 1/0291 Door telephones
• CPC Class Codes: H04N 23/611 where the recognised objects include parts of the human body
• CPC Class Codes: H04N 7/186 Video door telephones

Abstract

A social intelligence, tracking and monitoring system includes a data processor, a Wi-Fi module to transmit and receive information over the internet, a camera, and a proximity detector for sensing the presence of a visitor, the proximity detector in communication with the data processor to actuate the camera to take a photographic image of the visitor. Photographic images of persons of interest are downloaded from a social networking site. The facial features in the downloaded photographic images are compared to the facial features in the photographic image taken by the camera to determine if the visitor is recognized. Upon recognition of the visitor by the system, a prerecorded message is played to the recognized visitor. Another prerecorded message is played inviting the visitor to leave a message. An infrared illuminator illuminates the visitor when the data processor determines that the ambient lighting is insufficient. Other applications for the system include doorbell usage types, tracking usage types, shop usage types, and monitoring usage types.

Claims

1. A social intelligence, tracking and monitoring system comprising:

a data processor;

a Wi-Fi module in communication with the data processor to transmit information from the data processor to the internet and to send information received from the internet to the data processor;

a camera controlled by the data processor for taking photographic images of visitors; and

a proximity detector for sensing the presence of a visitor, the proximity detector in communication with the data processor to actuate the camera to take a photographic image of the visitor when detection occurs;

the data processor downloading photographic images of persons of interest from a social networking site and then comparing the facial features in the downloaded photographic images to the facial features in the photographic image taken by the camera to determine if the visitor is recognized.

2. The social intelligence, tracking and monitoring system of claim 1 further comprising:

a speaker in communication with the data processor, the data processor causing a prerecorded message to be played via the speaker to a recognized visitor.

3. The social intelligence, tracking and monitoring system of claim 2 further comprising:

a microphone in communication with the data processor, the data processor causing a prerecorded message to be played via the speaker inviting the visitor to leave a message, the microphone transmitting the message of the visitor to the data processor.

4. The social intelligence, tracking and monitoring system of claim 1 further comprising:

an infrared illuminator controlled by the data processor for illuminating the visitor when the data processor determines that the ambient lighting conditions are too dark to obtain an adequate photographic image with the camera.

5. The social intelligence, tracking and monitoring system of claim 1 wherein the system is normally in a sleep mode to conserve electrical power and the system wakes up upon receiving a detection signal from the proximity detector at the data processor.

6. The social intelligence, tracking and monitoring system of claim 1 further comprising:

a doorbell button in communication with the data processor whereby the data processor actuates the camera to take a photographic image when the doorbell is depressed.

7. The social intelligence, tracking and monitoring system of claim 1 wherein the social network sites from which photographic images of expected visitors are downloaded includes one or more of www.facebook.com, www.twitter.com, and www.linkedin.com.

15. The social intelligence, tracking and monitoring system of claim 1 wherein the system operates as a security system.

16. The social intelligence, tracking and monitoring system of claim 1 wherein the system operates as a shop usage type system and generates data on customer visits to a business.

17. The social intelligence, tracking and monitoring system of claim 1 wherein the system operates as a tracking usage type to track the time and attendance of employees.

18. The social intelligence, tracking and monitoring system of claim 1 wherein the system operates as a monitoring usage type to view logs of data created by the system.

19. A web application for a social intelligence, tracking and monitoring system of claim 1, the web application controlling the settings and operation of the social intelligence, tracking and monitoring system, and the web application provides a plurality of usage types.

20. The web application of claim 19 wherein the usage types provided by the web application include a security system usage type, a doorbell usage type, a shop usage type, a tracking usage type, and a monitoring usage type.

8. A method of recognizing a visitor with a social intelligence, tracking and monitoring system having a data processor, the steps of the method comprising:

enabling the data processor to transmit information from the data processor to the internet with a Wi-Fi module and to send information received from the internet to the data processor;

taking photographic images of visitors with a camera controlled by the data processor for;

sensing the presence of a visitor with a proximity detector, the proximity detector in communication with the data processor to actuate the camera to take a photographic image of the visitor when detection occurs;

downloading photographic images of persons of interest from a social networking site with the data processor; and

comparing the facial features in the downloaded photographic images to the facial features in the photographic image taken by the camera to determine if the visitor is recognized.

9. The method of claim 8 further comprising the step of:

upon recognition of the visitor, playing a prerecorded message via a speaker which is in communication with the data processor.

10. The method of claim 8 further comprising the steps of:

playing a prerecorded message sent from the data processor to the speaker, the message inviting the visitor to leave a message,

receiving the visitor'"'"'s message at a microphone; and

transmitting the message of the visitor to the data processor.

11. The method of claim 8 further comprising the step of:

illuminating the visitor with an infrared illuminator when the data processor determines that the ambient lighting conditions are too dark to obtain an adequate photographic image with the camera.

12. The method of claim 8 further comprising the steps of:

normally keeping the security system in a sleep mode to conserve electrical power; and

waking up the security system upon receiving a detection signal from the proximity detector at the data processor.

13. The method of claim 8 further comprising the step of:

a doorbell button in communication with the data processor; and

actuating the camera to take a photographic image when the doorbell is depressed.

14. The method of claim 8 further comprising the step of:

downloading photographic images of expected visitors from social network sites including one or more of www.facebook.com, www.twitter.com, and www.linkedin.com.