Our Work

Explore our portfolio of embedded systems development, IoT product engineering, and smart infrastructure solutions that power real-world innovation. Each project reflects our focus on engineering-first design, edge-AI integration, and digital transformation for infrastructure.

We collaborate with clients across industries — from smart city solutions and geospatial engineering to industrial IoT automation — turning ideas into reliable, production-ready systems.

Edge AI Embedded Systems for Predictive Maintenance: TinyML SpO₂ & HRV On-Device Screening

Introduction: The Challenge

Engineering-first embedded systems and IoT product design by EurthTech 2025

AI for Smart Infrastructure: UWB + BLE Hybrid Embedded Systems for Sub-Meter Precision RTLS

Introduction: The Challenge of Mixed-Precision Tracking

AI-Powered Embedded Systems: GeoAI Behavioural Pattern Recognition for Smart City Lost-Pet Recovery

Introduction: The Challenge of Contextual Tracking

Edge AI Embedded Systems for Smart City Solutions: Low-Latency Offline ANPR for Field Enforcement

Introduction: The Challenge of Latency and Privacy in Field Enforcement

Federated TinyML & GeoAI: Edge AI Embedded Systems for Community-Assisted Smart City Pet Recovery

Introduction: Evolving Challenges in Pet Tracking & Privacy

IoT Product Engineering for High-Throughput Warehouses: Edge AI Embedded Systems in BLE RTLS

Introduction: The Challenge of Indoor Visibility in Dense Logistics

IoT Product Engineering for Grid Monitoring: Edge AI Embedded Systems in High-Voltage Distribution

Introduction: The Challenge of Sensing in High-Voltage Environments

GeoAI and Embedded Systems for GNSS-Denied Navigation: High-Precision RTK Resilience in Asset Tracking

Introduction: The Challenge of GNSS Outages and Continuity

GeoAI and AI GIS Analytics for Predictive Maintenance AI IoT: Drone Inspection of Electrical Distribution Networks

Introduction: The Challenge of Efficient Wide-Area Inspection

IoT Product Engineering and Edge AI for AgriFood Tech: Low-Cost NIR Spectrometer for Biomarker Measurement

Introduction: The Challenge of Portable and Affordable Biomarker Screening

Embedded AI India Talent Pipeline: Skill Right India Embedded System Training Program

Introduction: The Challenge of Practical Embedded Upskilling

IoT Product Engineering for Logistics: Hybrid GNSS + BLE + LoRa Architecture for Asset Tracking

Introduction: The Challenge of Seamless Intermodal Visibility

IoT Product Engineering and Embedded Systems Development: PCBA and EMS Scale-up for High-Current Pulse Drivers

Introduction: The Challenge of Scaling Complex Power Electronics

IoT Product Engineering for Consumer Health: Cost-Optimized Design for Eye-Drop Counter with Edge AI Embedded Systems

Introduction: The Challenge of High-Cost Consumer Health Devices

IoT Product Engineering for Massive Scale: LoRaWAN Integration with E5 Nodes and ChirpStack for Smart Infrastructure

Introduction: The Challenge of Scaling Industrial LoRaWAN Fleets

Edge AI Embedded Systems for Smart Buildings: TinyML IAQ Inference for HVAC Optimization

Introduction: The Challenge of Real-Time, Private IAQ Monitoring

IoT Product Engineering for Commercial Deployment: Smart Lock Power Optimisation and Embedded Systems Development

Introduction: The Challenge of Extending Battery Life in Commercial IoT

IoT Product Engineering for Smart Infrastructure Solutions: Ultra-Low-Power Edge Embedded Systems Asset Tag

Introduction: The Challenge of Long-Duration Asset Tracking

Digital Twin Smart City Platform for Enterprise: GeoAI & Predictive Maintenance AI IoT in Asset Tracking

Introduction: The Challenge of Siloed Geospatial Data

Embedded AI India: AI-Powered Embedded Systems for Predictive Maintenance AI IoT in Cardiac Screening

Introduction: The Challenge of Signal Quality and Latency

GeoAI and Edge AI Embedded Systems for Smart Infrastructure Solutions in Aquaculture

Introduction: The Challenge of Automated and Coordinated Pond Management

IoT Product Engineering for Smart Infrastructure Solutions: High-Rate WiFi Asset Tracking for Logistics Hubs

Introduction: The Challenge of High-Density Visibility in RF-Noisy Hubs

IoT Product Engineering for Security: Secure OTA Firmware Supply Chain for Edge AI Embedded Systems

Introduction: The Challenge of Secure Fleet Management

Edge AI Embedded Systems for Predictive Maintenance AI IoT: Low-Latency Vision for Conveyor Anomaly Detection

Introduction: The Challenge of Instantaneous Safety Response

IoT Product Engineering for Resilient Connectivity: Edge AI Embedded Systems in SDR Mesh Networks

Introduction: The Challenge of Resilient and Reconfigurable Radio Networks

IoT Product Engineering and Edge AI for Food Quality Monitoring: Cost-Effective C12880MA NIR Spectrometer

Introduction: The Challenge of Cost-Effective Quality Control

GeoAI and AI GIS Analytics for Precision Agriculture: Drone Multispectral NIR Camera Payload

Introduction: The Challenge of Radiometric Consistency in Agriculture

AI Engineering Solutions for Talent Acquisition: Embedded Engineer Candidate Portal with Node.js and React

Introduction: The Challenge of Technical Embedded Screening

Embedded Systems Development and IoT Product Engineering: Smoke Sensor Battery Life Optimization for Multi-Month Field Life

Introduction: The Challenge of Unpredictable IoT Field Life

IoT Product Engineering for Resilient Communications: Handheld Satellite-Ready V/UHF SDR Prototype

Introduction: The Challenge of Programmable, Dual-Mode Field Radio

Embedded Systems Development and AI Engineering: Quantum-Safe Cryptography for Constrained IoT Field Devices

Introduction: The Challenge of Future-Proofing Security on Edge AI

GeoAI and AI GIS Analytics for Predictive Maintenance AI IoT: Digital Twin for Port Asset Health and Dispatch Optimization

Introduction: The Challenge of Spatial Risk and Outage Impact

Predictive Maintenance AI IoT for Ports: Edge-Enabled LoRa Sensor Network for Industrial Crane Motors

Introduction: The Challenge of Unpredictable Industrial Failure

EurthTech

Our Work