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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.

TinyML SpO₂ and HRV On-Device Screening

The challenge

TinyML SpO₂ and HRV On-Device Screening

UWB + BLE Hybrid Tracking for Sub-Meter Precision

The challenge

UWB + BLE Hybrid Tracking for Sub-Meter Precision

GeoAI Behavioural Pattern Recognition for Smart Cities

The challenge

GeoAI Behavioural Pattern Recognition for Smart Cities

Low-Latency Offline ANPR for Field Enforcement

The challenge

Low-Latency Offline ANPR for Field Enforcement

Federated TinyML and GeoAI for Community-Assisted Monitoring

The challenge

Federated TinyML and GeoAI for Community-Assisted Monitoring

BLE RTLS for High-Throughput Warehouses

The challenge

BLE RTLS for High-Throughput Warehouses

Grid Monitoring in High-Voltage Distribution

The challenge

Grid Monitoring in High-Voltage Distribution

High-Precision RTK Resilience in Asset Tracking

The challenge

High-Precision RTK Resilience in Asset Tracking

Drone Inspection of Electrical Distribution Networks

The challenge

Drone Inspection of Electrical Distribution Networks

NIR Spectrometer for Agri-Food Biomarker Measurement

The challenge

NIR Spectrometer for Agri-Food Biomarker Measurement

Skill Right India: Embedded Systems Training Programme

The challenge

Skill Right India: Embedded Systems Training Programme

Hybrid GNSS, BLE and LoRa Asset Tracking for Logistics

The challenge

Hybrid GNSS, BLE and LoRa Asset Tracking for Logistics

PCBA and EMS Scale-Up for High-Current Pulse Drivers

The challenge

PCBA and EMS Scale-Up for High-Current Pulse Drivers

Eye-Drop Counter with Edge AI: Cost-Optimised Design

The challenge

Eye-Drop Counter with Edge AI: Cost-Optimised Design

LoRaWAN and ChirpStack Integration for Massive Scale

The challenge

LoRaWAN and ChirpStack Integration for Massive Scale

TinyML Indoor Air Quality Inference for HVAC

The challenge

TinyML Indoor Air Quality Inference for HVAC

Smart Lock Power Optimisation

The challenge

Smart Lock Power Optimisation

Ultra-Low-Power Edge Asset Tag

The challenge

Ultra-Low-Power Edge Asset Tag

GeoAI and Predictive Maintenance in Asset Tracking

The challenge

GeoAI and Predictive Maintenance in Asset Tracking

PremAsh: Wearable SpO₂ and HRV Cardiac Screening

The challenge

PremAsh: Wearable SpO₂ and HRV Cardiac Screening

GeoAI and Edge AI for Smart Infrastructure

The challenge

GeoAI and Edge AI for Smart Infrastructure

High-Rate Wi-Fi Asset Tracking for Logistics Hubs

The challenge

High-Rate Wi-Fi Asset Tracking for Logistics Hubs

Secure OTA Firmware Supply Chain for Edge Devices

The challenge

Secure OTA Firmware Supply Chain for Edge Devices

Low-Latency Vision for Conveyor Anomaly Detection

The challenge

Low-Latency Vision for Conveyor Anomaly Detection

SDR Mesh Radio Network for Industrial Campuses

The challenge

SDR Mesh Radio Network for Industrial Campuses

NIR Spectrometer for Food Quality Monitoring

The challenge

NIR Spectrometer for Food Quality Monitoring

Drone Multispectral NIR Camera Payload

The challenge

Drone Multispectral NIR Camera Payload

Embedded Engineer Candidate Portal (Node.js and React)

The challenge

Embedded Engineer Candidate Portal (Node.js and React)

Smoke Sensor Battery Life Optimisation

The challenge

Smoke Sensor Battery Life Optimisation

Handheld Satellite-Ready V/UHF SDR Prototype

The challenge

Handheld Satellite-Ready V/UHF SDR Prototype

Quantum-Safe Cryptography for Constrained IoT Devices

The challenge

Quantum-Safe Cryptography for Constrained IoT Devices

Digital Twin for Port Asset Health and Dispatch

The challenge

Digital Twin for Port Asset Health and Dispatch

Edge LoRa Sensor Network for Industrial Crane Motors

The challenge

Edge LoRa Sensor Network for Industrial Crane Motors

EurthTech delivers AI-powered embedded systems, IoT product engineering, and smart infrastructure solutions to transform cities, enterprises, and industries with innovation and precision.

Factory:

Plot No: 41,
ALEAP Industrial Estate, Suramapalli,
Vijayawada,

India - 521212.

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© 2025 by Eurth Techtronics Pvt Ltd.

 

Development Center:

4th Floor, Krishna towers, 100 Feet Rd, Madhapur, Hyderabad, Telangana 500081

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