Maris’ Edge AI computing and ultra low latency video streaming solutions are in operational use by top-tier customers around the globe and have already delivered strong benefits and ROI to a satisfied client base.
Diamond
AI-based situational awareness platform designed for armored fighting vehicles. Provides 360⁰ coverage of surroundings ensuring no blind spots. Incorporates 5 HD cameras with simultaneous display for powerful threat detection, alerts, and precise response to dismounted threats. Suitable for urban combat and can be integrated into a wide range of AFV platforms.
High video quality
Low latency
Powerful AI acceleration
Multiple streams
Robust communication
Modular & flexible
Best in class SWaP
Driving multiple fast-growing use cases and markets
Field-tested AI edge computing and video streaming solutions with high-level functionality and flexibility
Maris’ sophisticated solutions offer a smart onboard architecture that enables real-time and accurate video and AI processing, such as object detection, classification, and tracking.
Maris-Tech is Expanding its Operations in the U.S.
The move marks a significant milestone in Maris-Tech’s ongoing global growth and reaffirms the Company’s commitment to delivering cutting-edge solutions for the defense and homeland security (HLS) sectors.
Latency in video streaming refers to the time delay between when video footage is captured and when it is shown to the viewer. In low latency video streaming, this delay is minimized to improve user experience and benefit applications that require real-time information.
Smart Video Streaming & AI Acceleration at the Edge for Autonomous Remote Platforms
A pioneer in AI-based video streaming technology, Maris offers innovative Edge AI accelerated video solutions designed to integrate with autonomous and semi-autonomous land, sea, air, and space platforms for a wide range of applications, such as surveillance, aerospace, defense, HLS, and commercial. Maris’ state-of-the-art, compact, and modular solutions feature smart onboard architecture that enables real-time, low latency and accurate video and AI processing at the edge, such as object detection, classification, and tracking.
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