01
Signal Acquisition
Capture RF reflections and channel changes caused by human presence and micro-motion.
RF Sensing · Edge AI · Hybrid Perception
Technology that lets intelligent systems sense beyond vision.
Future Intelligent Wave combines mmWave radar, ambient RF signals, advanced signal processing and Edge AI to extract human presence, motion, vital signs and physiological states without relying on cameras or microphones.
Hybrid Perception
When robots can feel human.
Our perception stack uses radio-frequency sensing to capture subtle human activity and physiological signals, then converts them into actionable machine intelligence through feature extraction, data fusion and AI analysis.
FIW Hybrid Perception Stack — mmWave radar + ambient RF sensing
Camera-free · Contactless · Edge-ready
02
Preprocessing
Filter interference, compensate motion and prepare coherent sensing data.
03
Vital-Sign Extraction
Resolve respiration, heartbeat-related motion and other physiological micro-dynamics.
04
Feature Extraction
Transform RF signatures into stable time, frequency and micro-Doppler features.
05
Data Fusion
Combine complementary sensing paths and modalities for stronger confidence and coverage.
06
AI Analysis
Run on-device models for interpretation, classification and context-aware decisions.
Sensing Modalities
Two RF views. One perception layer.
FIW is developing a modality-flexible architecture that can use high-resolution radar, ambient wireless signals, or both depending on the environment and application.
mmWave Radar
High-sensitivity RF sensing for fine motion, ranging and physiological micro-motion — particularly valuable when lighting, privacy or camera placement is challenging.
Respiration and heartbeat-related micro-motion
Presence, range, movement and micro-Doppler
Contactless operation in darkness and visually constrained environments
Ambient RF Sensing
Extract information from how human activity changes the wireless channel, enabling passive sensing using communication infrastructure as an additional perception source.
Channel-state information and RF signature analysis
Movement, occupancy and interaction awareness
Complementary sensing for broader spatial coverage and fusion
Edge Intelligence
Interpret locally. Share only what matters.
FIW’s architecture is designed for edge processing so raw sensing data can be converted locally into compact, meaningful outputs. This enables responsive systems while reducing dependence on cameras, microphones and continuous raw-data transfer.
Privacy by designRF-first perception where visual monitoring is undesirable.
Low-latency AIReal-time inference close to the sensing hardware.
Sensor fusionCombine modalities and paths based on confidence.
System-readyDesigned for integration into robotics, mobility and smart environments.
Application Layer
From RF signatures to human-aware systems.
The same sensing foundation can support different products and research paths across environments where continuous, contactless and privacy-aware human understanding is valuable.
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Robotics
Presence, interaction, motion and physiological context for more human-aware machines.
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Mobility
Occupant and in-cabin sensing for safety, wellness and post-event awareness.
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Care & Health
Contactless vital-sign and activity monitoring for assistive and remote-care scenarios.
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Smart Environments
Ambient intelligence without requiring continuous optical observation.
Building with RF perception?
We are developing and validating our sensing stack with technology, research and application partners.