At 30 m spacing, a 22-node Quito corridor represents about 660 m of frontage: enough to frame a security, patrol, and environmental-sensing segment without assuming utility interconnection or continuous raw-video backhaul.
Quito Constraints That Affect the Pole Design
Quito is not a coastal deployment case. The city sits at about 2,850 m in the Andean region, with urban-interandean elevations commonly described around 2,400-3,100 m. That altitude changes engineering priorities: UV exposure, wind loading, thermal cycling, battery reserve, and maintenance access on steep approaches become central procurement questions.
The demographic context is also specific. Quito grew from 319,221 residents in 1950 to 2,679,722 in the 2022 census, with a reported density of 638 people/km2. For a physical-AI corridor, that supports analytics focused on anonymous vehicle counts, crowd density, intrusion, and perimeter awareness rather than centralized raw-video review.
| Engineering factor | Quito planning value | Procurement implication |
|---|---|---|
| Corridor layout | 22 nodes at 30 m spacing | About 660 m of frontage before site-specific checks |
| Altitude band | 2,850 m city reference; 2,400-3,100 m urban-interandean zone | UV aging, wind exposure, and access logistics need review |
| Climate inputs | 10-16 C average temperatures; about 960 mm/year precipitation | Battery reserve should account for the September-April rainy period |
| Utility context | Ecuador MV feeder classes listed from 6.3 kV to 34.5 kV | The pole remains fully off-grid; feeder data informs risk context, not power dependency |
Off-Grid Edge-Node Architecture
A typical configuration uses 22 SOLARTODO Sentinel City AI Pole edge nodes, 22 battery systems, and 22 drone-service modules. Each pole is powered by on-pole solar replenishment plus battery storage. The PV body may be specified around 2.8-3.2 kWp, while practical clear-sky replenishment should be treated as roughly 1.0-1.3 kW DC in high-irradiance conditions, with single-digit kWh/day expectations depending on weather and duty cycle.
That distinction matters. The system is fully off-grid, but it should be engineered as solar replenishment buffered by storage, not as unlimited solar runtime. Per-pole storage in the 5-20 kWh class should be matched to sensor uptime, patrol frequency, drone-service scheduling, environmental monitoring, rainy-season reserve, and maintenance intervals.
Local Processing and Operational Boundaries
The pole stack combines edge AI compute, PTZ security sensing, autonomous drone operations, drone battery hot-swap support, ground robot operations, 9-in-1 environmental monitoring, and counter-UAS coordination. Counter-UAS workflows remain non-lethal and human-authorized: detection, tracking, command coordination, soft aerial net-capture, and close-approach deterrence are the relevant operating categories.
Raw video and sensor data should stay on the pole, processed locally. Only de-identified event and status metadata should leave the site, aligning the deployment with PDPL-LGPD-oriented data-minimization expectations. In Quito’s historic-center context, inscribed in 1978, that local-first model also reduces civil-works and visual-impact pressure because siting, foundations, and line-of-sight can be evaluated node by node.
For the full technical case, see solartodo.com/solutions/quito-smart-streetlight-22-unit-30m-skyhub-drone-pole
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