Overview
Ubiquiti UACC-Ai-PRO-ENHANCER IR LED, floodlight, and radar for A
Ubiquiti UACC-AI-PRO-ENHANCER Long-Range IR LED and Radar Detection AccessoryOverviewThe UACC-AI-PRO-ENHANCER extends the Ubiquiti AI Pro camera with …
Ubiquiti UACC-Ai-PRO-ENHANCER IR LED, floodlight, and radar for A
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Bundle Summary
Overview
Ubiquiti UACC-AI-PRO-ENHANCER Long-Range IR LED and Radar Detection Accessory
Overview
The UACC-AI-PRO-ENHANCER extends the Ubiquiti AI Pro camera with integrated long-range infrared illumination, floodlight, and radar detection capabilities. Designed for security integrators and facility managers, this accessory delivers 40 m infrared range, 600 lumen 5700K illumination, and radar-based motion detection to 35 m for vehicles and 20 m for persons across a 110° horizontal field of view.
Compatibility
Mounts directly to the AI Pro camera via integrated hardware. Powers through the camera's existing 5V DC connection (3A max, 15W consumption). Operates -30 to 50°C in environments up to 90% noncondensing humidity. Recommended mounting height 2–5 m at 0–30° tilt. Managed through UniFi Protect web and mobile applications.
Key Specifications
- Detection Range: Person 0.5–20 m, Vehicle 2–35 m
- Infrared Distance: 40 m
- Floodlight: 600 lm, 5700K
- Radar: 110° horizontal detection, 0.5 m distance accuracy
- Enclosure: Aluminum alloy and polycarbonate
- NDAA compliant; FCC, IC, CE certified
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