Overview
Ubiquiti UACC-AI-360-JB-W Tamper-resistant junction box for AI
Ubiquiti UACC-AI-360-JB-W Junction Box The Ubiquiti UACC-AI-360-JB-W is a tamper-resistant junction box designed as a mounting accessory for Ubiquiti…
Ubiquiti UACC-AI-360-JB-W Tamper-resistant junction box for AI
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Bundle Summary
Overview
Ubiquiti UACC-AI-360-JB-W Junction Box
The Ubiquiti UACC-AI-360-JB-W is a tamper-resistant junction box designed as a mounting accessory for Ubiquiti AI security camera installations. This junction box provides a protected enclosure for cable management and connections in outdoor or exposed mounting scenarios, supporting integration within Ubiquiti's broader security infrastructure ecosystem.
Built for compatibility with Ubiquiti AI camera systems, the UACC-AI-360-JB-W features a durable construction suitable for field deployment. The junction box weighs 1.6 lb and is manufactured to support standard installation requirements across Ubiquiti security mounting applications. Its form factor accommodates typical cable runs and connection points required in modern surveillance deployments.
This accessory is ideal for integrators and system designers standardizing on Ubiquiti AI platform hardware. The tamper-resistant design adds an additional layer of physical security for critical connection points in your IP security infrastructure. Verify compatibility with your specific Ubiquiti AI camera model before ordering.
System Design, Deployment & Technical Support
Support services and planning resources for commercial surveillance, access control, and infrastructure deployments.
Fixed scope • Fixed price
System Design Assistance
- Get help validating product compatibility
- Coverage requirements
- Storage planning and deployment architecture before you buy.
Deployment & Configuration Support
- Access fixed-scope support for rollout planning
- User setup guidance
- Migration and system standardization across single-site or multi-site deployments
Guides, Tools & Calculators
- PoE requirements
- Storage retention
- Camera selection and deployment methodology