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Case Study

Ramen For Extending Your Camera Coverage

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University Expands Campus Safety with Ramen Autonomous Network Operations (RANO) + EdgeAI 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 Wireless Network‑as‑a‑Service combined with Ramen RANO, the industry’s first AI‑powered network‑operations platform. 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 Wireless Network + RANO + EdgeAI

Ramen For Extending Your Camera Coverage

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  

EdgeAI Vision Capabilities

With Ramen’s AI‑ready design, the university can now deploy:

  • 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.

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