As the ISR landscape aggressively changes, the defense industry's response is limited without effective peer-near-peer (PNP), inter-theater quick reaction ISR capabilities to support long-range precision fire needs. SNC is invested in building a safer tomorrow through an unparalleled airborne intelligence, surveillance and reconnaissance (AISR) offering.

EMCORE’s SDI170 IMU is designed as a performance-compatible inertial system that is form, fit, and functional with a legacy RLG-based IMU product, but with superior overall performance, versatility, and a significantly higher MTBF (Mean Time Before Failure) rating over ruggedized environments. The tactical performance of the SDI170 IMU is based on EMCORE’s mature, proven, dependable and accurate quartz MEMS inertial sensor technology in our SDI500 tactical-grade IMU. EMCORE’s quartz technology enables repeatable high-volume production of precisely machined sensor structures combined with the inherent large signal output and thermal stability of quartz materials. The SDI170 IMU is designed for demanding, mission-critical, rugged environments and ideal for continuous use applications with no wear-out components, highly linear accelerometer performance and longer life compared to competing alternatives. It is constructed with EMCORE’s latest generation quartz gyros, quartz accelerometers, and high-speed signal processing to achieve outstanding precision performance. The solid-state quartz sensors and hermetically sealed IMU construction provide reliable MTBF and a 20-year operating and storage life. Continuous Built-in Test (BIT), configurable communications protocols, electromagnetic interference (EMI) protection and flexible input power compatibility make the SDI170 IMU easy to use in a wide range of higher-order integrated commercial and defense system applications.

C-17 GLOBEMASTER III

Hivemind is Shield AI’s mission autonomy software for building, testing, and deploying AI pilots. It enables unmanned systems to execute missions independently in GPS- and communications-denied environments, adapt to changing conditions, and coordinate in multi-agent teams and swarms. Across air, land, sea, and space, Hivemind helps operators manage more platforms with less manual control, and enables autonomous systems to make decisions and execute missions within operator-defined constraints.

A Group 3 single-engine, ducted-fan VTOL UAS with 12+ hours of endurance. Operating in Ukraine and other conflict zones today, V-BAT delivers combat-proven, expeditionary surveillance and targeting at a fraction of the cost and logistics of larger Group 4 and 5 drones. It launches and recovers unassisted from ship decks, rooftops, and austere terrain—no runway, catapult, or net required. V-BAT is being adopted by the DoD, U.S. Coast Guard, and international customers amid growing global demand.

Building secure, robust and reliable electronic systems for aerospace and defense applications is critical. You can take advantage of our extensive expertise and technical support to reduce your integration risk and development time. Our development ecosystem includes IP licenses, a variety of demonstration and evaluation kits, reference designs, software, application notes and detailed documentation. Our team of engineering, sales, marketing, logistics and quality experts provide the specialized support that you need to solve your most difficult design challenges.

- Rader · Detection Range : 1.5~10km, Customizable · Radar Type : AESA - LONG RANGE EO/IR · Identification Range : 3.0km · Optical Zoom : 66x (EO), 22x (IR) - JAMMER · Jamming Distance : 20km (GNSS), 10km @2km (ISM) - RCWS (REMOTE CONTROLLED WEAPON SYSTEM) · Weapon : 40mm AGL, 12.7mm MG · Ammo Capacity : 48 rounds (AGL), 200 rounds (MG) · Lethal and Nonlethal 40mm Air Burst Munition Fireable

1. RCWS - 7.62mm Machine Gun (Compatible of K-16 and M60) - Magazine Capacity : Max. 400 Rounds. 2. EO/IR - Day/Night Range : Detection 4 Km, Recongnition 2 Km - Range Finding Accuracy : less 5m in 4 Km 3. AI Object Recognition - Real-time Object Detection Model - GPU-Based High Speed AI image Processing - Application of Supervised Learning Data