Offline_SOS_System

A developer has open-sourced offline_sos_system, a pure Dart crash detection engine for Flutter that runs entirely on-device using TensorFlow Lite, eliminating the need for cloud APIs or network connectivity. The package processes multi-axis motion sensor data locally to detect crashes with high accuracy, addressing the single point of failure in cloud-dependent safety apps.

Pub.dev Package: Link https://pub.dev/packages/offline sos system GitHub Repository: Link https://github.com/bhagyaprasad92/offline sos system Imagine getting into a serious car crash in a remote area—a mountain pass, a highway dead zone, or a rural road with zero cell signal . You open your safety app, or its automated background trigger fires... only to hang indefinitely because it relies on a cloud API to process sensor data or verify the crash. That single point of failure bugged me for months. Emergency safety features shouldn’t depend on a stable 5G connection. If an engine can detect a crash instantly via onboard physics, our software should be able to do the same on-device. So, I built and open-sourced offline sos system —a pure Dart, 100% offline crash detection engine powered by on-device TensorFlow Lite. Most existing Flutter solutions for safety or impact detection suffer from one of three issues: G-force X spikes, leading to massive false-positive rates like dropping your phone on a table or hitting a pothole .I wanted a solution that was pure Dart/Flutter at the developer layer , handled complex multi-axis motion patterns via Edge AI , and never made a single network request . The package handles the entire pipeline locally on the device: tflite flutter .Here is how simple it is to initialize and listen for crash events in Flutter: dart import 'package:offline sos system/offline sos system.dart'; void main async { WidgetsFlutterBinding.ensureInitialized ; // Initialize the offline SOS engine final sosEngine = OfflineSosSystem ; await sosEngine.initialize ; // Listen to real-time crash detection events sosEngine.crashStream.listen CrashEvent event { if event.isCrashDetected { print 'CRASH DETECTED ' ; print 'Confidence Score: ${event.confidence}' ; print 'Impact Force: ${event.gForce}G' ; // Trigger your app's local emergency protocols here } } ; // Start monitoring sensor telemetry await sosEngine.startMonitoring ; }