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BLE Device Tracker App

Real-Time BLE Tracking for Everyday Belongings

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Introduction Of The Project

BLE Device Tracker is an innovative real-time tracking solution that leverages Bluetooth Low Energy (BLE) technology to help users locate and monitor their personal belongings. By connecting Bluetooth-enabled chips to everyday items, the app provides instant visibility and control, ensuring users never lose track of important possessions.

The client approached us with a vision to create a robust Android-native application capable of running continuously in the background without interruptions. The challenge was to design a system that could reliably maintain connectivity with BLE devices while addressing the strict background execution limitations imposed by the Android operating system.

Our goal was to deliver an always-on tracking experience that balances continuous monitoring with energy efficiency, ensuring users can rely on the app for real-time updates without draining their device battery. The solution needed to be technically resilient, accurate, and user-friendly, providing peace of mind while seamlessly integrating into users’ daily routines.

Problem Statement

Key Pain Points

  • Android’s aggressive app management often kills inactive apps, stopping background services unexpectedly. This disrupts tracking and creates gaps in real-time updates, frustrating users who rely on constant visibility.
  • Existing solutions provide stale or inaccurate last-known locations. Users cannot trust the app for timely updates, increasing the likelihood of lost items.
  • Tracking gaps and missed alerts causes lost revenue, lower engagement, and poor retention. Unreliable performance reduces subscriptions, in-app purchases, and premium monetisation.
  • BLE devices frequently disconnect due to interference or distance. Weak reconnection logic forces repeated manual attempts, creating user frustration and tracking gaps.
  • Users are not promptly alerted to low battery, disconnection, or out-of-range devices. Lack of proactive notifications decreases recovery success and increases lost-item risk.

Key Metrics

Background Uptime Reliability55%
Device Reconnect Success Rate46%
Battery Alert Timeliness (In minutes)15
Crowd-Based Recovery Accuracy52%
User Session Duration(post-stabilisation)15%

Result: stagnant growth and missed revenue in a competitive market.

The Solution

Foreground Service Optimisation

Implemented a persistent foreground service to prevent Android from terminating background processes. This ensures continuous tracking and real-time updates, giving users uninterrupted visibility of their belongings even when the app is inactive.

Smart BLE Scanning

Developed an adaptive BLE scanning strategy with low-energy intervals. This optimises battery usage while maintaining accurate proximity detection, enabling long-term, always-on tracking without draining device power.

Accurate Location Logging

Built a robust location logging system that frequently updates and timestamps last-known positions. Users receive precise, timely information about their belongings, reducing uncertainty and enhancing trust in the app.

Proactive Alerts & Monetisation Support

Added automated alerts for device status, low battery, disconnection, and out-of-range events. These notifications increase engagement, reduce lost-item risk, and support monetisation through subscriptions and premium feature adoption.

Seamless BLE Reconnection

Introduced reliable reconnection logic with automatic retries after interference or distance loss. This minimises manual intervention, reduces tracking gaps, and ensures continuous device visibility for users.

Crowd-Powered Recovery Network

Implemented a passive detection network where nearby users’ devices assist in locating lost items. This improves recovery success, increases user confidence, and strengthens the app’s overall reliability.

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Our Approach

1
Research & Benchmarking Phase
  • Studied BLE competitors
  • Analysed Android behaviour
  • Evaluated energy trade-offs

Deliverable:

Competitive Report, Research Findings

2
Architecture & Planning Phase
  • Designed system architecture
  • Prioritised alert workflows
  • Planned scalable backend

Deliverable:

System Blueprint, Technical Roadmap

3
Development & Integration Phase
  • Implemented BLE scanning
  • Integrated Firebase services
  • Built battery alerts

Deliverable:

Prototype, Integrated Modules

4
Testing & Optimisation Phase
  • Conducted stress tests
  • Tuned scanning intervals
  • Simulated device loss

Deliverable:

QA Report, Benchmark Results

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OneClick Expertise in Various Combinations

Our developers employ various combinations of modules, frameworks, libraries, and tools to build efficient and scalable applications. Here are some common combinations Our Developers used for various purposes:

Android+Database Icon

Android + Room DB

Room DB with Kotlin Flow provides reactive, offline-first local storage for scan logs, device history and encrypted user data - with seamless sync when online.

Android+FireBase

Android + Firebase

Firebase Cloud Messaging and Analytics in Android deliver real-time push alerts for proximity events and deep insights into user engagement and app health.

Android+image

Android + Figma

Figma-designed UI is implemented in Android XML/Compose with pixel-perfect precision, design tokens and interactive prototypes for rapid iteration and stakeholder approval.

Team Structure

RoleResponsibility
Project ManagerOverall delivery & communication
Business AnalystRequirement gathering & stakeholder alignment
Solution ArchitectSystem architecture & technology strategy
UX/UI DesignerVisual design and user journey
Android DevelopersBLE logic, background service implementation
QA EngineerFunctionality, regression & performance testing
DevOps EngineerDeployment, CI/CD pipelines & performance scaling

Technology Used

Languages

  • Kotlin
  • Java

Android Frameworks & Architecture

  • Jetpack Components
  • MVVM Architecture
  • Hilt
  • Coroutines + Flow
  • Dagger

Bluetooth Low Energy (BLE)

  • Android BLE API
  • nRF Connect SDK
  • Proximity Logic

Local Database

  • Room Persistence Library
  • DataStore

Firebase Suite

  • Firebase Cloud Messaging (FCM)
  • Firebase Analytics
  • Crashlytics
  • Remote Config
  • Firebase Authentication

UI/UX & Design

  • Figma
  • Material Design 3
  • Compose

Tools & DevOps

  • Android Studio
  • Gradle
  • GitHub
  • GitLab
  • GitHub Actions
  • Bitrise
  • Firebase App Distribution
  • Firebase App Distribution

Testing

  • JUnit
  • Espresso
  • MockK
  • Turbine (Flow)

Analytics

  • Firebase
  • Mixpanel

Security & Compliance

  • ProGuard
  • R8
  • Keystore Signing
  • Encrypted Room DB
  • Runtime Permissions

AI-Assisted Development

  • GitHub Copilot
  • ChatGPT
  • Gemini

Design Samples

Comprehensive design system and development samples demonstrating the technical excellence and visual appeal of the Outfitter platform.

Competitor Analysis

ParameterCompetitorOur SolutionOpportunity
Background TrackingOften killed by Android OS, unreliablePersistent foreground service ensures uninterrupted trackingHighlight reliability and continuous visibility
Battery EfficiencyHigh BLE scanning drains battery quicklySmart BLE scanning optimises energy without losing accuracyPosition as long-lasting, always-on tracking solution
Location AccuracyStale or delayed last-known positionsAccurate logging with frequent updatesBuild trust by providing real-time, reliable location info
Alerts & NotificationsMinimal or delayed notificationsProactive alerts for low battery, disconnection, and out-of-rangeEmphasise improved engagement, retention, and revenue from premium features
Device ReconnectionManual retries needed, error-proneSeamless BLE reconnection with automatic retriesReduce frustration and enhance user experience
Lost-Item RecoveryLimited or no crowd assistanceCrowd-powered passive recovery networkShowcase faster recovery and higher reliability for users
User EngagementLow retention due to poor reliabilityIncreased sessions, higher engagementHighlight better retention, monetisation opportunities, and user satisfaction

Project Outcomes

Uninterrupted Tracking

Foreground service optimisation ensured uninterrupted background tracking, giving users consistent visibility of their belongings without service drops. It also enhanced device stability, reducing unexpected crashes or forced closures.

Energy-Efficient Scanning

Smart BLE scanning improved energy efficiency, allowing long-term, always-on tracking without draining device power. The optimised scanning cycle ensured smooth performance even during heavy usage.

Reliable Location Updates

Accurate logging provided timely and reliable location updates, reducing uncertainty and building stronger user trust. This consistency also helped users make better real-time decisions.

Engaging Proactive Alerts

Proactive alerts boosted engagement and retention, increasing revenue through subscriptions and premium feature adoption. Timely reminders reduced lost-item risks, enhancing user satisfaction and revenue potential.

Seamless Reconnection

Seamless reconnection eliminated manual intervention, reducing user frustration and maintaining continuous device visibility. It also minimised downtime, keeping the tracking process smooth and uninterrupted.

Crowd-Powered Recovery

Crowd-powered recovery strengthened lost-item detection, enabling faster recovery and improving overall app reliability. The collaborative network effect created a safety net for users in diverse locations.

Key Outcomes Metrics

Key Outcomes MetricsBeforeAfter
Background Uptime Reliability55%90%
Device Reconnect Success Rate46%92%
Battery Alert Timeliness (In minutes)155
Crowd-Based Recovery Accuracy52%88%
User Session Duration(post-stabilisation)15% 65%