Site Security & Physical Monitoring
On-site CV inference detects intrusion and tampering without streaming video off-site.
Urgency score — priority vs. other Telecom & Tower use cases
Overview
Computer vision inference processes camera feeds locally at each tower site — detecting unauthorized access, equipment tampering, vandalism, and theft in real time. Alerts are generated on-site and escalated only for confirmed events. Raw video never streams to a central server, eliminating bandwidth cost and data exposure risk.
The Penalty Stakes
- Continuous video streaming to cloud costs $300–$800/year per site in bandwidth — multiplied across 10,000+ sites, this is a significant OpEx
- Cloud CV systems tuned to generic conditions generate 70–90% false alarm rates at tower sites
- Video of tower site equipment and topology creates data sovereignty exposure if streamed externally
- Network degradation or outage disables cloud monitoring exactly when physical security risk may be elevated
Business Impact
Reduction in equipment theft and vandalism losses; lower insurance premiums; reduced security patrols
Cloud-based video analytics require continuous streaming bandwidth — expensive and a data sovereignty exposure at scale
Infrastructure Requirements
Camera feeds processed by on-site Trinidy inference node. CV models trained to distinguish authorized personnel, wildlife, and genuine intrusion events. Alert logic triggers access controls, lighting, and NOC notification.
- All video processing runs on-site — zero bandwidth cost, zero data sovereignty exposure
- CV models tuned to site-specific conditions achieve <15% false alarm rate versus 70–90% for generic cloud systems
- T4 DevCo hardware processes 4–8 simultaneous cameras within tower site power constraints
- Model updates deployed centrally via NEXUS OS — no site visits or manual updates required
- Monitoring remains operational during backhaul degradation — local alerting and access control continue