JED BENJAMIN MARTI
Pilots at Bryan Ave, Salt Lake City, UT

License number
Utah A2326664
Issued Date
May 2016
Expiration Date
May 2018
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
1858 E Bryan Ave, Salt Lake City, UT 84108

Professional information

Jed Marti Photo 1

Sensor System And Method For Detecting And Identifying Rapidly Moving Objects

US Patent:
7684020, Mar 23, 2010
Filed:
Sep 5, 2006
Appl. No.:
11/470062
Inventors:
Jed Marti - Salt Lake City UT, US
Keith Brendley - McLean VA, US
Assignee:
Artis, LLC - Herndon VA
International Classification:
G01P 3/36
US Classification:
356 28, 356 285
Abstract:
A relatively low-cost sensor can accurately detect, identify and track rapidly moving objects such as missiles, rocket propelled grenades (RPGs), mortars, explosive-driven fragments, bullets, shells, sports projectiles (baseballs, golf balls, tennis balls, arrows, etc. ), and other types of objects. Systems that would incorporate such a sensor include military devices such as Active Protection System (APS), warning sensor systems, counter-fire systems; commercial devices such as an accurate baseball strike zone monitor, tennis ball line monitors, and arrow speed and flight characteristics monitors. The optical sensing system detects, identifies and tracks rapidly moving objects. The system is designed to be low-cost, rugged, highly reliable, and have a low False Alarm Rate (FAR). The system can accurately record signals from rapidly moving targets and then process this information with sufficient time to send a firing signal or take other action as appropriate.


Jed Marti Photo 2

Systems And Methods For Area Activity Monitoring And Personnel Identification

US Patent:
7382267, Jun 3, 2008
Filed:
Jan 31, 2005
Appl. No.:
11/045579
Inventors:
Keith W. Brendley - McLean VA, US
Jed Marti - Salt Lake City UT, US
William Virnig - Salt Lake City UT, US
Assignee:
Artis LLC - Reston VA
International Classification:
G08B 23/00
US Classification:
3405731, 340541, 702173
Abstract:
“Smartmat” (Smartmat Area Activity Monitor and Personnel Identification System) monitors and identifies people, animals and other objects that pass through a control volume. Among other attributes, the exemplary system implementation can count, classify and identify objects, such as pedestrians, animals, bicycles, wheelchairs, vehicles, rollerbladers and other objects, either singly or in groups. Exemplary Smartmat implementations differentiate objects based on weight, footprint and floor/wall pressure patterns such as footfall patterns of pedestrians and other patterns. The system may be applied to security monitoring, physical activity monitoring, market traffic surveys and other traffic surveys, security checkpoint/gate monitoring, traffic light activation and other device activation such as security cameras, and other monitoring applications. Smartmat may be portable or permanently installed.


Jed Marti Photo 3

Motion-Coupled Visual Environment For Prevention Or Reduction Of Motion Sickness And Simulator/Virtual Environment Sickness

US Patent:
7717841, May 18, 2010
Filed:
Sep 19, 2006
Appl. No.:
11/533135
Inventors:
Keith W. Brendley - McLean VA, US
Jed Marti - Salt Lake City UT, US
Assignee:
Artis LLC - Herndon VA
International Classification:
A61M 21/00
US Classification:
600 27, 702150, 348148
Abstract:
A motion-coupled visual environment prevents, reduces and/or treats motion sickness by sensing inertial motion and providing a corresponding evocative image for a subject to view. Inertial sensors may include accelerometers, gyroscopes or a variety of other different sensor types. A cross-coupling algorithm may be used to cross couple different sensed inertial motions. A variety of mapping schemes may be used to map sensed inertial motion to corresponding motion within the evocative scene displayed on the display. Driver-centric, passenger-centric and simulation surround systems are possible. Applications include reducing motion sickness on passenger vehicles such as airplanes, trains and cars; on military vehicles such as ships, airplanes, helicopters and the like; and reducing “cybersickness” in the context of simulations on moving platforms.


Jed Marti Photo 4

Motion-Coupled Visual Environment For Prevention Or Reduction Of Motion Sickness And Simulator/Virtual Environment Sickness

US Patent:
2004010, May 27, 2004
Filed:
Nov 26, 2002
Appl. No.:
10/304060
Inventors:
Keith Brendley - McLean VA, US
Jed Marti - Salt Lake City UT, US
International Classification:
A61M021/00
US Classification:
600/027000
Abstract:
A motion-coupled visual environment prevents, reduces and/or treats motion sickness by sensing inertial motion and providing a corresponding evocative image for a subject to view. Inertial sensors may include accelerometers, gyroscopes or a variety of other different sensor types. A cross-coupling algorithm may be used to cross couple different sensed inertial motions. A variety of mapping schemes may be used to map sensed inertial motion to corresponding motion within the evocative scene displayed on the display. Applications include reducing motion sickness on passenger vehicles such as airplanes, trains and cars; on military vehicles such as ships, airplanes, helicopters and the like; and reducing “cybersickness” in the context of simulations on moving platforms.


Jed Marti Photo 5

Method And Device For Detecting And Classifying Moving Targets

US Patent:
2010029, Nov 25, 2010
Filed:
May 20, 2010
Appl. No.:
12/783585
Inventors:
Jed Marti - Salt Lake City UT, US
Assignee:
ARTIS LLC - Herndon VA
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
Horizontal velocity profile sensing techniques, methods and systems may be used to detect and classify moving targets, including but not limited to a person, an animal, or a vehicle, or any other object that lends itself to characterization. Such techniques, methods and systems may be implemented with an autonomous stand-alone device, for example, as an unattended ground sensor, or it may constitute part of a sensor system. An exemplary illustrative non-limiting implementation allows the device to be fixed to a location, while detecting and classifying moving targets. In another exemplary illustrative non-limiting implementation, the device may be placed on a moving or rotating platform and used to detect stationary objects.