University Expands Campus Safety with Ramen’s Autonomous Operations (RANO) and 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 autonomous operations (RANO) and on-site edge AI The result: eliminated trenching, accelerated deployment, and a scalable foundation for advanced AI-driven safety analytics.
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.
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 + autonomous operations (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.