Axis D2123-VE 270° AI Radar Perimeter Detection

Axis D2123-VE 270° AI Radar Perimeter Detection

The Axis D2123-VE is a 24 GHz FMCW radar sensor engineered for wide-area outdoor perimeter detection and intrusion monitoring. Built on ARTPEC-9 processing architecture with integrated deep learning, this 270° radar delivers AI-powered classification of humans, vehicles, and unknown objects across large coverage zones operating 24/7 independent of lighting conditions, weather, or visibility constraints.

Coverage & Detection Range

• 270° horizontal field of detection reduces blind zones compared to 180° alternatives
• Area monitoring coverage up to 30,000 m² for persons and 59,000 m² for vehicles at 5 m mounting height
• Person recognition range: 140 m; vehicle detection range: 200 m
• Recommended mounting height: 4–10 m with direct impact on range and tracking performance
• Distance accuracy: 0.9 m; angular accuracy: <0.5°
• Spatial differentiation: 3 m minimum distance between tracked objects

AI Analytics & Classification

• Real-time human and vehicle classification with unknown object detection
• Line crossing detection for perimeter breaches
• Exclusion zones for false-alarm mitigation in high-traffic areas
• Radar autotracking for continuous target monitoring
• Integration with ARTPEC-9 PTZ cameras for radar-video fusion and dual-layer verification

Technical Specifications

• Sensor: FMCW 24.05–24.25 GHz radar
• Field of View: 270° horizontal
• Power: PoE+ (single cable deployment)
• Network: 2-port interface for flexible topology
• Durability: IP66/IP67 ingress rating, IK10 impact resistance
• Temperature: –40°C to +60°C operating range
• Video Compression: H.265 for efficient bandwidth use
• Storage: microSD card support
• Mounting: Wall, pole, and corner compatible

Ideal Applications

• Large facility perimeters (industrial parks, logistics centers, data centers)
• Border and critical infrastructure protection
• Airport and port security
• Outdoor parking and vehicle yards
• Campus and multi-site surveillance networks

Ted Perry

The D2123-VE represents a paradigm shift in perimeter detection by decoupling detection from visible-light imaging. Unlike traditional camera-based systems, FMCW radar propagation physics eliminates dependency on ambient light, fog, rain, or infrared complexity—critical for 24/7 unattended outdoor monitoring. The 270° aperture is a significant operational advantage: it cuts the number of required sensors by roughly one-third compared to 180° alternatives while maintaining edge coverage quality, directly reducing total cost of ownership.

AI classification at the edge—distinguishing humans from vehicles from environmental clutter—is computationally demanding. Axis delegates this to ARTPEC-9's dedicated DPU, meaning analytics run locally without cloud latency or bandwidth tax. The 0.9 m distance accuracy and 3 m spatial differentiation are industry-standard for FMCW radar; tightly grouped crowds or bumper-to-bumper vehicle columns may blur into single targets, a limitation inherent to the physics, not a design flaw.

Integration with PTZ cameras via radar autotracking bridges the detection-to-identification gap: radar finds the threat; the camera verifies and documents it. This dual-layer architecture is essential for SOC workflows where false positives carry operational cost. PoE+ simplifies deployment in remote locations with no local power infrastructure. Specify mounting height carefully—every meter of elevation extends range proportionally, but mounting higher than 10 m introduces gimbal stability challenges and angle-of-incidence effects on low-profile targets.