John T DonovanNewton, MA

7382244, Jun 3, 2008

Oct 4, 2007

11/867575

John J. Donovan - Hamilton MA, US
Daniar Hussain - Cambridge MA, US

KD Secure - Cambridge MA

G08B 29/00

340506, 340531, 34053925, 340521, 340541, 340937, 348143

The present invention is a video surveillance, storage, and alerting system having surveillance cameras, video analytics devices, audio sensory devices, other sensory devices, and a plurality of data storage devices. A network management module monitors network status of all subsystems including cameras, servers, storage devices, etc. and shows actively monitored areas on a physical map. A vehicle information module retrieves information from a law enforcement database about vehicles detected in the video data based on the vehicle's license plate, including information about stolen vehicles, as well as warrant, wanted person, and mug shot information for registered drivers of the vehicles. Video tips are received and processed from anonymous and non-anonymous sources. A correlation engine correlates primitive events and compound events from each of the subsystems, weighted by attributes of the events, across both space and time, and an alerting engine generates alerts and performs actions based on the correlation. A hierarchical storage manager manages storage of the vast amounts of data, including video data, based on importance of the data calculated from attributes of the data.

7460149, Dec 2, 2008

May 28, 2007

11/754335

John J. Donovan - Hamilton MA, US
Danir Hussain - New York NY, US

KD Secure, LLC - Cambridge MA

H04N 7/18
H04N 5/781

348143, 386 46

One embodiment is a method of storing video data from a video surveillance system having one or more cameras. Video data is captured from one or more surveillance cameras. Meta-data is automatically generated by performing video analysis on the captured video data from the surveillance cameras. A human operator may manually enter additional meta-data. Attribute data and associated weights, representing information about the relevance of the meta-data, is received. The video data is stored in a hierarchical video storage area; the meta-data, indexed by date and time stamp to the video data, is stored in a meta-data storage area; and the attribute data is stored in an attribute storage area. One or more alerts may be issued based on the past and present meta-data. The video data is secured by encrypting and storing the video data remotely, and audit trails are generated about who and when viewed the video data.

7595815, Sep 29, 2009

May 8, 2007

11/746043

John J. Donovan - Hamilton MA, US
Daniar Hussain - New York NY, US

KD Secure, LLC - Cambridge MA

H04N 7/18
G08B 29/00
G06F 17/00

348143, 340506, 706 47

A method and system for intelligent monitoring and intelligent alerting. One or more data inputs are received from one or more systems. A weight is attributed to each data input based on the data input, the source of the data input, and other factors. One or more video inputs are received from one or more video sources. Image analysis is performed on the video data to determine one or more video parameters. The video parameters are assigned one or more weights based on the video source and other factors. A series of rules are evaluated using the data inputs, the video inputs, and their respective weights. An associated action is performed for each rule that is activated. The present invention may be used for various security and safety purposes, including fighting crime, detecting and preventing terrorist activity, and ensuring safety procedures are followed.

7737837, Jun 15, 2010

Apr 21, 2008

12/106951

John J. Donovan - Hamilton MA, US
Daniar Hussain - Cambridge MA, US

KD Secure LLC - Cambridge MA

G08B 19/00

340521, 340506, 340531, 34053925, 340517, 340 31

The present invention is an alerting system having one or more sensors for capturing sensory data, one or more processors and one or more memories having program code to (1) capture sensory data from the one or more sensors; (2) capture attribute data representing information about the sensors used to capture the sensory data; (3) process the sensory data from the one or more sensors to detect primitive events in the sensory data; (4) correlate two or more primitive events, the primitive events weighted by the attribute data of the sensors used to capture the sensory data; and (5) perform one or more actions based on the correlation performed in the correlating step. The system may also be connected to one or more legacy systems, such as FBI, Interpol, or other criminal database systems.

7747780, Jun 29, 2010

May 8, 2009

12/437842

R. Scott Perry - Westborough MA, US
Paul D. Parisi - Boxford MA, US
John J. Donovan - Hamilton MA, US

Dnsstuff, Inc. - Newburyport MA

G06F 15/173

709245, 709222

A method, system and apparatus including receiving a request from a network device, the request including an IP address of said network device, generating and sending to the network device a domain name for locating a device configured to process a DNS query, the domain name corresponding to the IP address, the network device generating and sending a DNS query including the domain name and at least one local DNS setting of the network device to the device configured to the process the DNS query, and the device processing an association between the IP address and the at least one local DNS setting of the network device.

7876351, Jan 25, 2011

Sep 3, 2008

12/203613

John J. Donovan - Hamilton MA, US
Daniar Hussain - Cambridge MA, US

KD Secure LLC - Tallahassee FL

H04N 7/18

348152, 348143

Methods, systems, and apparatus for monitoring, alerting, and acting, including the following steps. Input data is received from one or more sensory devices. One or more data weights are determined for the input data based on a weight corresponding to a source of the input data, a weight corresponding to a time the input data was received, and a weight corresponding to a frequency that the input data was received. A set of rules is evaluated based on the input data and the data weights. One or more actions, including a heirarchy of one or more alerts, are activated based on the results of the evaluation of the rules.

7999847, Aug 16, 2011

Sep 9, 2008

12/207111

John J. Donovan - Hamilton MA, US
Daniar Hussain - Cambridge MA, US

KD Secure LLC - Tallahassee FL

H04N 7/18

348143

An audio surveillance, storage, and alerting system, including the following components: One or more audio sensory devices capture audio data having attribute data representing importance of the audio sensory devices. One or more audio analytics devices process the audio data to detect audio events. A network management module monitors network status of the audio sensory devices and generates network events reflective of the network status of all subsystems. A correlation engine correlates two or more events weighted by the attribute data of the device used to capture the data. Finally, an alerting engine generates one or more alerts and performs one or more actions based on the correlation performed by the correlation engine. This invention may be used to help fight crime and help ensure safety procedures are followed.

8013738, Sep 6, 2011

Oct 4, 2007

12/279720

John J. Donovan - Hamilton MA, US
Daniar Hussain - Cambridge MA, US

KD Secure, LLC - Tallahassee FL

G08B 21/00

340540, 340506, 34053925, 340521, 340541, 340937, 348143

The present invention is a video surveillance, storage, and alerting system having the following components. One or more surveillance cameras capture video data having attribute data, the attribute data representing importance of the surveillance cameras. One or more video analytics devices process the video data from one or more of the surveillance cameras and detect primitive video events in the video data. A network management module monitors network status of the surveillance cameras, and the video analytics devices, and generates network events reflective of the network status of all subsystems. A correlation engine correlates two or more primitive video events from the video analytics devices weighted by the attribute data of the surveillance cameras used to capture the video data, and network events from the network management module weighted by attribute data of device corresponding to the network event. An alerting engine generates one or more alerts and performs one or more actions based on the correlation performed by the correlation engine.