Product Introduction
The ASEAN NCAP Child Presence Detection (CPD) dummy represents a 1-year-old child and is specifically designed to support advanced evaluation of in-cabin detection systems. It integrates physiological simulation, motion functions, and thermal control to provide a high-fidelity surrogate for testing across multiple sensing modalities.
Key Features
Size Representation: 1-year-old child dimensions.
Physiological Simulation:
Respiration and heartbeat generation with realistic radar micro-Doppler signatures.
Representative Radar Cross Section (RCS) characteristics of real children.
Abdominal breathing mode with adjustable parameters:
Respiratory rate: 10–50 bpm
Respiratory amplitude: 1–20 m
Motion Degrees of Freedom:
Head motion: 1 DoF (left–right, -90° to +90°)
Arm motion: 2 × 1 DoF (shoulder up–down, 0° to 180°)
Leg motion: 2 × 1 DoF (hip up–down, 0° to 90°)
Heating Function
Integrated thermal regulation system to simulate child body temperature.
Complies with ASEAN NCAP’s new requirement for CPD test dummies.
Supports precise calibration to maintain realistic surface and core temperature profiles.
Sensor Compatibility
Fully compatible with 60/24/140 GHz radar, UWB, and 4D imaging radar.
Supports indirect sensing systems for multi-modal detection validation.
Protocol Support
ASEAN NCAP (with heating requirement)
Euro NCAP, C-NCAP
- Other NCAP
Advanced Breathing Simulation
Equipped with 9 programmable intelligent control modes, offering realistic variability beyond static patterns:
Fixed breathing rate, increasing amplitude
Fixed amplitude, increasing rate
Fixed rate, amplitude increases then decreases
Fixed amplitude, rate increases then decreases
Fixed rate with random amplitude fluctuations
Fixed amplitude with random rate fluctuations
Random amplitude and rate within defined bounds
Random breath events during normal breathing
Random breathing pauses during normal breathing (frequency adjustable)
These modes replicate restlessness, deep sleep, irregular breathing, and apnea, providing robust testing scenarios under fluctuating or low-signal conditions.