Micropolis Launches Industrial-Grade Edge Computing Unit for Autonomous Security Systems
TL;DR
Micropolis's new edge computing unit provides law enforcement and security operations with faster autonomous decision-making and intelligence sharing for superior operational advantages.
The IP67-rated Edge Computing Unit uses NVIDIA Orin SOC with up to 64 GB GPU configurations to process AI locally for real-time computer vision and behavior analysis.
This technology enhances public safety and national security by enabling faster threat detection and more resilient autonomous systems for safer communities worldwide.
Micropolis combines industrial-grade robotics with on-device AI processing to create autonomous security systems that operate independently of cloud networks in demanding environments.
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Micropolis (NYSE American: MCRP), a UAE-based developer of autonomous mobile robots and AI-driven security solutions, has launched a new industrial-grade Edge Computing Unit with IP67 rating powered by NVIDIA Orin SOC. This hardware enhancement delivers high-performance, low-latency AI processing directly on Microspot, the company's real-time surveillance and mission-management platform. The system's robust design features an IP67 enclosure suitable for demanding environments, industrial connectivity options, and multiple GPU configurations supporting up to 64 GB memory capacity.
The new computing unit enables real-time computer vision, behavior analysis, suspect profiling, and mission planning capabilities without reliance on cloud networks. CEO Fareed Aljawhari emphasized that the system ensures secure, on-device AI processing for critical applications in law enforcement, border control, and national security operations. The distributed edge networking architecture allows Micropolis robots and fixed installations to share intelligence across wide geographical areas, facilitating faster and more resilient autonomous decision-making in security scenarios.
Additional information about the company's developments is available in their newsroom at https://ibn.fm/MCRP. The full press release detailing this technological advancement can be accessed at https://ibn.fm/ES1j9. This edge computing solution represents a significant step in enhancing the capabilities of autonomous security systems by enabling sophisticated AI processing at the device level, reducing latency and improving operational reliability in various security and surveillance applications.
Curated from InvestorBrandNetwork (IBN)
