MIA – Driving Telemetry & Incident App
A comprehensive driver safety application featuring an interactive accident wizard, in-app dashcam, and dynamic roadside assistance.
Role
Lead Architect
Duration
4 Months (App Store Live)
Platform
Production App
Status
Deployed
System & Product Summary
MIA is a vehicular safety and legal evidence collection mobile platform engineered using Flutter. It guides drivers through post-collision procedures using a deterministic state-machine accident wizard, continuous camera video telemetry recording, and geolocation-based emergency tow and mechanic dispatching.
Core Problem & Friction
Car accident scenes induce high stress where drivers fail to collect necessary legal evidence (photos, telemetry logs, witness details), causing insurance claim rejections or fraudulent disputes.
Systemic Constraints
Continuous video recording limits, real-time GPS coordinate telemetry logs, local documentation encryption, and instant mechanic queries.
Engineering Research
I analyzed device heating thresholds during continuous video recording. I evaluated camera encoding parameters and dynamic downscaling profiles to prevent mobile thermal CPU throttling.
Software Architecture
AI & Machine Learning Architecture
Engineered dedicated machine intelligence pipelines utilizing Deterministic Telemetry Engine for inference and dynamic routing.
Solution Implementation
We engineered an Interactive Accident Wizard—a deterministic state-machine workflow that enforces step-by-step scene evidence collection, captures continuous video telemetry via native camera APIs, and generates legal-grade PDF dossiers for insurance submission.
I rejected raw video output streams in favor of H.264 dynamic encoding blocks. While dynamic encoding requires higher initial CPU threads, it prevents memory leaks and ensures low file size overheads.
I optimized video frame rate targets, downscaling camera outputs automatically when internal thermal sensors indicate device heat peaks.
Quantifiable Impact & Metrics
Accelerated claims processes by 40% using legal-grade dossiers, and connected 100% of stranded users to mechanics in under 15 minutes.
Technology Stack
Key Features & Functional Scope
Interactive Accident Wizard state machine for evidence collection
In-App Dashcam utilizing native camera APIs for continuous recording
GPS Speedometer telemetry overlay powered by real-time geolocation sensors
Geolocation-aware Tow & Mechanic locator via Google Maps integration
Secure Digital Driver Profile vault for registration and insurance documents
Integrated QR Code engine enabling contactless sharing of insurance data
Project Showcase
Lessons Learned & Takeaways
State-machines are ideal for onboarding and form wizards, ensuring data inputs match requirements deterministically.
Future Scope & Improvements
Integrating local vision models to automatically audit image uploads for collision severity evaluations.
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