Canaria


Canaria Technologies was created as part of the 2016 NASA Space Apps Challenge. The two major problems we wanted to solve were to find a more comfortable solution for astronauts to continually log vital medical data without impeding their experiment work, and to tackle the issue of CO2 pocket build ups within spacecrafts. The Canaria system was inspired by the current limitations of wearable space technologies. Cumbersome clothing not only has the problem of interfering with daily movements, but is also susceptible to solar radiation when microchips are incorporated into fabrics. When researching the lives of astronauts, it became clear that there was one area of the body that had been ignored by designers: that imperceptibly small space behind the concha of the ear and the neck. Canaria Technologies is now a market leader in predictive biometrics systems, providing non-invasive medical-grade wearable devices powered by proprietary biometric algorithms to predict & prevent cognitive fatigue and heat stress. We are working with the world's biggest companies across the global resources sector, allowing technology and safety to come together in life-threatening situations.

Industries

biometrics
mining-technology

Products

Canaria-V

A wearable device that monitors biometric data to predict and prevent cognitive fatigue and heat stress in workers.

Canaria Predictive Biometrics Platform

A platform that integrates biometric data and environmental metrics to predict cognitive fatigue and heat stress incidents before they occur.

Canaria Analytics Suite

An analytics software suite that provides workforce biometric data visualization and integrates with enterprise safety systems.

Training and Change Management Services

Services including in-person training, account management, and ongoing support to integrate the Canaria system into workplace routines.

24/7 Help Desk Support Portal

A support service offering round-the-clock assistance for management and workers using the Predictive Biometrics Platform.


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