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Remote Monitoring System Development for IoT Devices

relevant.software

Information technology

Other industries

Challenges in Remote Device Management and Software Updates

The client required a user-friendly platform to remotely monitor device health (CPU, RAM, sensors), manage software/content packages, and enable secure terminal access for troubleshooting. Existing systems lacked efficient device discovery, cloud integration, and privacy-preserving data handling for distributed IoT devices.

About the Client

A Canadian-based R&D company specializing in AI-driven robotic systems for social wellbeing, with expertise in hardware-software integration and IoT solutions.

Objectives for Remote Monitoring System Development

Create a secure platform for real-time device monitoring and management
Streamline software/component updates for IoT devices
Implement privacy-preserving data visualization
Enable seamless cloud integration for offline devices
Provide SSH-like terminal access via secure tunneling

Core System Functionalities

Device discovery and cloud registration via mobile app
System/resource monitoring with dual loggers (standard/ROS-compatible)
AWS-based cloud storage for device data and package distribution
AWS IoT Jobs-driven package installation/uninstallation
Secure SSH tunnel for terminal access
Error categorization and notification system (Hardware/OS/Software)

Technology Stack

Node.js

React

AWS (IoT Core, S3)

Debian packages

ROS (Robot Operating System)

System Integrations

AWS IoT Jobs
Mobile app (local network discovery)
ROS middleware
Linux device management tools

Non-Functional Requirements

End-to-end encryption for data/device access
Scalable cloud architecture
Low-latency remote operations
Cross-platform compatibility
High-availability cloud services

Expected Business Impact of Remote Monitoring System

Enables efficient global device management with 90% reduction in manual troubleshooting, ensures compliance with privacy regulations, and accelerates software deployment cycles by 70%. The intuitive interface reduces operational complexity while AWS-based scalability supports enterprise-grade IoT ecosystem growth.