We developed a fur-friendly physiological measurement module by combining multiple feline and canine sensing technologies and size parameters. This module enables continuous measurement and data storage, allowing pet owners to monitor health with peace of mind.
After the initial development of our core algorithm, we gathered extensive data to build a second-stage AI synthesis model based on statistical and scientific methods. This enables heart rate variability (HRV) analysis to assess whether a pet is anxious or fatigued based on mood and sleep state.
We use MCU and Bluetooth SoC-based hardware, integrating firmware and app development, along with PCB and component integration for professional design and key part manufacturing. This end-to-end integration—from design and R&D to manufacturing—helps reduce costs and accelerates time-to-market.
This device uses low-power Doppler radar to detect movement by analyzing transmitted and reflected radar signals.
Radar waves penetrate fur, skin, blood vessels, and the trachea, eliminating the need to shave hair. Reflections vary by tissue type and are received by the device antenna.
Heartbeats and respiration cause expansion and contraction of vessels and the trachea, which alters the reflected radar signal.