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 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 which will 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 reading.
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.