ENSCO to Showcase PNT and Machine Learning Technologies at ION JNC 2019

yu.jinny@ensco.com
Wed, 07/03/2019 - 17:04
ENSCO will be participating in the 2019 Joint Navigation Conference, July 8-11, in Long Beach, Calif. The Military Division of the Institute of Navigation (ION) will host the 2019 Joint Navigation Conference (JNC 2019) for the Department of Defense and Department of Homeland Security. The theme of this year’s conference is Positioning, Navigation and Timing Technologies: The Foundation for Military Ops and Homeland Security.

ENSCO Avionics Participates in Embedded World Exhibition & Conference

yu.jinny@ensco.com
Tue, 05/07/2019 - 12:21
On February 26-28, 2019, ENSCO Avionics participated in the Embedded World Exhibition & Conference in Nuremberg, Germany. ENSCO Avionics participated in the booth of Lynx Software Technologies, a global leader in software platforms.

ENSCO to Demonstrate MicroSearch® Human Presence Detection System at Mock Prison Riot 2019

yu.jinny@ensco.com
Thu, 05/02/2019 - 16:53
ENSCO will be participating in and demonstrating MicroSearch® at the 2019 Mock Prison Riot to be held, May 7-9, in Moundsville, W.V. ENSCO will demonstrate MicroSearch, which uses advanced technology to determine if an unauthorized person is hiding in a vehicle or container by detecting the vibrations caused by the person’s heartbeat.

ENSCO Supports the Air Force Charity Ball

yu.jinny@ensco.com
Tue, 04/30/2019 - 10:38
ENSCO is pleased to announce it was a Gold Supporter of the 16th Annual United States Air Force Charity Ball at the Ritz-Carlton in Tysons Corner, Va., April 27.

ENSCO Partners with DeepSig Inc. to Detect and Classify RF Signals for National Security Applications

yu.jinny@ensco.com
Tue, 04/09/2019 - 11:47
ENSCO is pleased to announce it has partnered with DeepSig Inc. as the launch customer for DeepSig’s OmniSIGTM SDK, a first-of-its-kind commercial real-time signal processing product that enables users to train their own deep learning-based signal detection and classification sensors. By employing deep learning artificial intelligence, OmniSIG can detect WiFi, Bluetooth, 3/4/5G, and other signals up to 1,000 times faster than existing technology.