FISHERIES. MARINE. DEFENCE. CONSTRUCTION
Intelligent Geofence System for Asset Tracking.
HARDWARE | FIRMWARE | MOBILE/WEB APPS | EMS MANUFACTURING
Project Overview
Designed a dual-layer geofencing system to monitor asset movements and trigger alerts upon unauthorized boundary breaches. The solution works both on-device and server-side, ensuring reliability even in disconnected scenarios like marine or remote environments.
Client Requirement & Objectives
Independent Geofencing: The system should support geofence logic on both the tracking device and the server, functioning independently in case of network outages.
Flexible Geofence Shapes: Support for multiple geofence geometries such as circular and hexagonal zones, configurable through the web server or mobile app.
Real-Time Alerts: A buzzer on the device should trigger immediately when a breach is detected, whether locally by the device or remotely via the server.
Remote Management: Geofences must be dynamically created, updated, and pushed to devices without manual intervention, even across a distributed fleet.
System Design & Build
Dual Geofence Engine: Implemented geofencing logic on both cloud infrastructure and embedded firmware for redundancy and offline alerting.
Shape & Rule Definition: Supported complex shapes (circle/hex) with logic to define, edit, and apply rules based on GPS coordinates and movement history.
Intelligent Syncing Protocol: Designed a lightweight geofence versioning system to keep devices in sync with server-defined zones using minimal bandwidth.
Device-Side Breach Handling: Added real-time buzzer activation and local notification logic to alert users instantly upon any boundary breach.
Project Tech Stack
Key Challenges & Solutions
Power Optimization: Checking for multiple geofence boundaries frequently could drain battery. We optimized with a proximity filter, checking only nearby zones within a few kilometers, significantly reducing computation and energy use.
Dynamic Geofence Management: Ensured version control and smooth syncing of geofence updates across devices using delta updates and retry logic.
Offline Functionality: Devices needed to detect geofence breaches even when offline. We implemented locally cached geofence data with fallback logic to trigger alerts without relying on server connectivity.
Latency & Accuracy: Balancing high-accuracy detection with low-latency alerts was critical. We used efficient geometric algorithms and tuned GPS polling intervals for optimal responsiveness. .
Client
Succorfish is a technology company that aims to offer precise, dependable, and cost-effective monitoring technology that can operate in the most extreme and remote locations on earth.
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