Ramen For Extending Your Camera Coverage

University Expands Campus Safety with Ramen - Autonomous Operations (RANO) + Edge-AI Vision

A major urban university needed to expand its Department of Public Safety (DPS) video‑surveillance system into remote parking lots — without trenching fiber to every pole, which would cost over $10,000 per camera and delay deployment for months.

By partnering with Ramen, the university deployed a modern private-cellular connectivity fabric with RANO - Ramen’s autonomous operations - and on-site edge AI. The result: eliminated trenching, accelerated deployment, and a scalable foundation for advanced AI-driven safety analytics.

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Executive Summary‍

The university needed to expand surveillance coverage without construction, operational disruption, or increased IT complexity. Ramen delivered a private cellular wireless backbone using rooftop‑mounted radios, enabling gigabit‑class connectivity to cameras up to 1,000 feet away — even through partial tree obstruction.

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Challenge

Expanding surveillance across remote lots required mounting cameras on light poles, creating:

• Prohibitive construction costs
• Months‑long project timelines  
• Disruption to heavily used parking lots
• Increased long‑term IT maintenance  

Solution: Ramen connectivity fabric + RANO + edge AI

Ramen deployed:

• A private‑cellular backbone spanning nearly 2 million sq ft
• Three rooftop radios providing high‑bandwidth, low‑latency coverage  
• Automated onboarding and validation for cameras  
• Continuous penetration testing and anomaly detection  
• Predictive alerting and multi‑site visibility  

Vision Services on Ramen Eye - the Shared Vision + AI Infrastructure

Because Ramen provides shared, on-site Vision + AI infrastructure - Ramen Eye - the same camera feeds can power a range of vision services running on that layer. With Ramen’s AI-ready design in place, the university can now run:

• License‑plate recognition and vehicle identification  
• Intrusion detection and suspicious‑behavior alerts  
• Automated loitering or perimeter‑breach notifications  
• Parking utilization and traffic‑flow analytics  
• Intelligent search with rapid video summarization

Impact

• 70% reduction in deployment cost  
• Deployment completed in one month  
• New cameras added with zero on‑site engineering  
• Future‑ready EdgeAI platform compatible with existing VMS systems  

Conclusion‍

Ramen’s solution transformed the university’s safety posture — enabling modern, AI‑driven surveillance and operational automation for years to come.