Software Engineering · United States
Smart CoPilot Safety Stack
We built a next‑gen IoT driving companion that brings together real-time risk alerts, live video streaming, and continuous device health monitoring to reduce accidents, cut fleet costs, and make every journey safer.
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Client Overview
About Our Client
Our client is a leading innovator in connected mobility and logistics technology, focused on making fleet operations safer, smarter, and more efficient through IoT-driven insights and automation.
- Industry
- Logistics, Automation
- App Type
- Android
- Services
- Development & Deployment
- Engagement Model
- Agile
Tech Stack Used
- AWS IoT
- AWS Kinesis
- Kotlin
- Firebase Crashlytics
- MVVM
- Machine Learning
- Room DB
- Hilt DI
Requirement
The client needed a reliable IoT‑driven mobile app that could detect unsafe driving in real time, stream and record video securely, monitor in‑vehicle device health, and support emergency response while staying highly responsive at fleet scale.
Results
Lower Risk & Claims
Proactive safety alerts reduced accident-related incidents and associated insurance claims.
Reduced Operating Costs
Early detection of harsh driving and misuse cut maintenance spend and vehicle wear-and-tear.
Stronger Fleet Performance
Real-time visibility into routes, behavior, and location improved driver accountability and material tracking.
Fewer Road Accidents
Continuous monitoring and ML-based behavior detection significantly decreased incidents caused by human error.
Our Process
Requirement Analysis
Worked closely with stakeholders to map critical safety scenarios, IoT constraints, and performance SLAs for in‑vehicle deployment.
Tech Stack Finalization
Selected AWS IoT, AWS Kinesis, Kotlin, ML libraries, and MVVM to balance real-time processing, video streaming, and maintainability.
Architecture Design
Designed a modular MVVM and cloud architecture covering alerting, streaming, recording, health monitoring, and OTA update flows.
Development
Implemented ML-based behavior alerts, live streaming, continuous recording with auto-merge, SOS calling, and granular device health checks.
Testing & QA
Performed intensive stress, sensor, and fail-safe testing to validate stability under high-frequency streaming and edge conditions.
Deployment
Deployed the solution on custom in-vehicle Android devices with secure cloud connectivity for fleet-wide rollout.
Core Solution
IoT-Powered Safety Engine
Implemented real-time, behavior-based alerts using machine learning to detect unsafe actions such as fatigue, phone usage, and smoking.
Live Video & Continuous Recording
Integrated AWS Kinesis for low-latency live streaming and enabled continuous video recording with automatic file merging and cloud uploads.
Comprehensive Device Health Monitoring
Built robust monitoring for GPS, network, SD card, ignition, and power status to ensure every in-vehicle device remains operational.
Emergency & OTA Readiness
Added one-tap SOS calling for critical events and seamless over-the-air app update capabilities, all backed by a secure cloud backend.
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