Explore our IoT-based Smart Mask app development case study, enhancing
health monitoring by integrating real-time air quality tracking, breathing patterns and user
alerts for improved safety and personalized health insights.
USA
Country
IOT
Industry
1 Year
Duration
5 Members
Team
Challenges
Calibre’s founders were looking for a technology partner,
who can develop their SaaS based platform and also guide them
through the process of product ideation to product launching from a technology perspective.
Sensor Integration and Accuracy: The integration
of a number of sensors within a small, wearable device.
Power Management: Capability of the device to
support continuous data capture and wireless connectivity.
Data Privacy and Security: Protecting sensitive
health data.
Data Analytics : Analyzing and interpreting large
volumes of collected data.
Regulatory:Analysing and making sense of large
volumes of data that will be generated. Regulatory: Ensuring conformance to the
regulatory landscape ruling health and safety.
We recommended the technology that would be the best fit for Calibre users and helped in
developing the product– the
Based Smart Mask App.
High-Precision Sensors:
High-accuracy sensors designed for wearables. Data fusion algorithms combining
readings from multiple sensors will
improve the overall accuracy of readings.
Efficient Power Management: Develop
design power management strategies on the likes of duty cycling and sleep modes.
Design rechargeable batteries coupled
with efficient charge circuits.
User Authentication: Implement robust
user authentication mechanisms (e.g., biometrics, two-factor authentication).
Machine Learning Algorithms:
Implement machine learning algorithms to detect patterns and anomalies.real-time
analytics capabilities to provide
immediate feedback to users.
Cloud Infrastructure: Use scalable
cloud infrastructure for data storage and processing. Implement a robust update
mechanism for both the app
and firmware.