Smart helmet safety platform with edge-based crash detection and emergency alerts
Quin designs embedded safety systems for connected helmets, combining patented sensors, edge-based crash detection, and automatic emergency notifications. The tech stack reveals a mature hardware-to-cloud architecture: ARM Cortex-M microcontrollers paired with Nordic Bluetooth SoCs, Firebase backends, and Android app distribution—typical of production-grade IoT safety products. Active projects around PCB design, BLE reliability, and firmware updates (FOTA) suggest they're scaling manufacturing, while pain points in compliance testing and false-positive reduction indicate the regulatory complexity inherent to safety-critical wearables.
Quin builds hardware and software for smart helmets, embedding sensors and wireless connectivity to detect impacts, log performance metrics, and trigger emergency alerts to next of kin and services. The product is designed to integrate into existing helmet types across motorsport and cycling. Founded in 2017 and based in London, the company operates as a 11–50-person org with engineering-dominant hiring (8 roles) alongside design, product, and marketing teams. Current scaling focuses on production manufacturing, cloud infrastructure, and consumer acquisition.
ARM Cortex-M microcontrollers, Nordic Bluetooth SoCs (nRF Connect SDK), BLE Mesh for mesh networking, NFC, LTE, and Firebase for cloud backend. Android app built with Kotlin, Retrofit, and OkHttp.
Real-time crash detection accuracy, ultra-reliable BLE connectivity, reducing false positives in impact classification, sensor fusion accuracy, and scaling production-grade multi-layer PCBs.
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