Low-Cost • Local-First • Real-Time Objective Analytics • Explainable Feedback
ResQ upgrades conventional training manikins using a sensor-equipped chest overlay, embedded firmware, and a Windows LocalHub desktop application. It measures CPR performance in real time and provides immediate, rule-based feedback to both trainees and instructors without requiring internet access.
Fits onto existing training manikins, eliminating the need for expensive new smart manikins.
Live depth (mm), rate (cpm), full chest recoil, pause/interruption tracking, and hand-placement balance.
Supervise connection health, readiness, and live performance of multiple manikins simultaneously.
Embedded MQTT broker, backend, and database run locally on Windows. Training continues completely offline.
Pre-session checks verify zero rest position, sensor stability, reference pressure, and balance before scoring.
Automatic local storage with detailed post-session reviews, performance scoring, and CSV/JSON data export.
Pressure-sensitive TPU air-bladder structure and Hall-effect sensor capture displacement, force, and balance.
Processes sensor data, manages non-volatile calibration config, calculates live metrics, and broadcasts telemetry over local MQTT.
Supervises local Spring Boot backend, embedded MQTT broker, and local SQLite database in a one-click desktop app.
Web-based instructor and trainee dashboards with live graphs, rule-based scoring, coaching tips, and CSV/JSON output.
University departments and healthcare schools needing objective competency verification.
Dedicated training labs requiring concurrent supervision of multiple practice stations.
Vocational centers and emergency service teams training responders to meet strict AHA standards.
Large-scale field training programs benefiting from offline, highly portable local setups.