By [Employee Name]/[Designation] at EurthTech Published on July 10, 2025 The Real-World Problem Let’s say you're developing a smart fitness band—an example of modern embedded systems development and IoT product engineering. It needs to: Continuously read accelerometer + heart rate data Push updates via BLE Display information on an OLED Stay alive for a week And run TinyML gesture detection using Edge AI in embedded devices All on something like an Apollo4 Blue or STM32L4. H

GPS (Global Positioning System) is one of the most transformative technologies enabling modern smart infrastructure solutions and IoT product engineering. It allows precise localization and tracking across industries — from navigation and logistics to smart pole technology and geospatial engineering services. In this blog, let’s understand how GPS localization works, its key components, and its limitations — and how it fits into the broader ecosystem of AI-powered embedded sy

When we think of IoT at city-scale, agriculture fields, utility grids, or industrial campuses, we need networks that can connect devices spread over kilometers while still keeping power consumption ultra-low. This is where LPWAN (Low Power Wide Area Networks) and sub-GHz technologies shine. They fill the gap between short-range protocols (BLE, ZigBee, Wi-Fi) and cellular IoT (NB-IoT, LTE-M, 5G) by offering: Long-range coverage (1–15 km, sometimes more). Ultra-low power (batte

In the connected era of smart infrastructure solutions and AI-powered embedded systems, one principle remains constant. A brilliant IoT device is only as good as its battery life. From smart poles lighting city streets to soil sensors in precision agriculture, power efficiency isn’t just an engineering metric—it’s the foundation of reliable, scalable, and sustainable IoT product engineering. Miss it, and you risk field failures, costly service calls, and broken customer trust

By CH Durga Prasad, Embedded Engineer at EurthTech Estimated Reading Time: 15 minutes In the evolving landscape of smart infrastructure solutions, Bluetooth Low Energy (BLE) has quietly become the unsung hero behind many IoT product engineering innovations — from wearables and medical sensors to smart pole technology, industrial IoT and automation, and smart lighting systems. At EurthTech, we’ve engineered BLE into everything from health patches to AI-powered embedded systems

By Srihari M, Director Product Development at EurthTech Published on March 18, 2025 With the System Integration Phase complete, the final step before full-scale manufacturing is the Reliability Assurance Phase. This phase ensures that every IoT product engineering initiative meets performance, durability, and quality benchmarks — reducing the risk of failures in real-world smart infrastructure deployments across industries such as smart pole technology, industrial IoT, and sm

By Srihari M, Director Product Development at EurthTech Published on March 18, 2025 With the Concept Refinement Phase completed, the next step is the System Integration Phase, which brings together hardware, firmware, and software into a fully functional, reliable, and scalable system. This phase is crucial for embedded systems development, IoT product engineering, and smart infrastructure solutions. The System Integration Phase consists of four key areas: Hardware and Firmwa

By Srihari M, Director – Product Development, EurthTech Published: March 18, 2025 In hardware and embedded systems development, the Discovery Phase isn't a checkbox — it's the blueprint. Without a thorough understanding of the problem space, user pain points, and technical feasibility, even the most elegant design can fail in the real world of smart infrastructure solutions and IoT product engineering. At EurthTech, we've seen that success downstream always begins with clarit

Bluetooth Low Energy (BLE), also known as Bluetooth Smart, is a wireless communication technology specifically designed for low-power applications. Its unique characteristics make it highly suitable for indoor localization: Key Features: Low Energy Consumption: BLE devices consume significantly less power than traditional Bluetooth devices, making them ideal for battery-powered applications such as beacons and mobile devices. This is critical when designing embedded systems f

In the ever-evolving landscape of cybersecurity and smart infrastructure solutions, the concept of Zero Trust has gained significant traction in recent years. Originally designed for traditional IT environments, Zero Trust Architecture (ZTA) has now found its way into Operational Technology (OT) and Industrial IoT and automation as industries continue to digitize and interconnect their critical infrastructure. As organizations embrace digital transformation for infrastructure

In today’s era of smart infrastructure solutions and IoT product engineering, wearable devices play a pivotal role in embedded systems development and digital transformation for infrastructure. From smart health monitoring to industrial IoT applications, wearables equipped with advanced 9 Degrees of Freedom (9DOF) sensors like the MPU9250 enable precise motion and orientation tracking. However, the common approach of uploading such sensor data to the cloud for processing intr

Asset tracking has become a critical component for businesses looking to enhance operational efficiency, reduce losses, and drive productivity. With the rise of IoT product engineering and AI-powered embedded systems, organizations are now able to monitor, manage, and optimize their assets in real-time—transforming traditional operations into intelligent, connected ecosystems. From industrial IoT and automation to smart city solutions, asset tracking is redefining how industr

Software testing has always been a cornerstone of the software development life cycle (SDLC). But with the emergence of disruptive technologies such as Big Data, Artificial Intelligence (AI), Smart Machines, IoT, 5G, and Robotics, the scope and complexity of testing have evolved dramatically. Today, testing is no longer just about verifying code—it’s about ensuring the resilience, scalability, and intelligence of AI-powered embedded systems, IoT-based infrastructures, and dig

The fifth generation of wireless technology (5G) is more than just faster internet — it’s a catalyst for the next era of digital transformation for infrastructure, smart cities, and IoT-powered innovation. What once seemed futuristic is now becoming reality as AI, embedded systems, and geospatial engineering services converge to create a hyper-connected world. This blog explores how 5G will reshape everyday life, fuel industrial growth, and enable AI-powered smart infrastruct

#5Ginsimpleterms- 5G, or the fifth generation of wireless technology, represents a major leap forward in the world of digital transformation for infrastructure and smart city technology. It is the most advanced form of wireless communication — designed to be faster, more reliable, and capable of supporting a massive number of devices, from smartphones to IoT-enabled embedded systems. 5G is expected to revolutionize IoT product engineering and smart infrastructure solutions, e

Wi-Fi indoor localisation is a transformative technique used to determine the position of a device within buildings or enclosed environments using Wi-Fi signals. It plays a critical role in enabling smart infrastructure solutions, IoT product engineering, and embedded systems development—empowering industries such as retail, healthcare, manufacturing, and logistics with real-time geospatial intelligence. The Role of Wi-Fi Indoor Localisation in Smart City Solutions Wi-Fi-base

Machine-to-Machine (M2M) communication is transforming how modern devices interact and operate—enabling seamless data exchange between connected systems without human intervention. As part of the broader Internet of Things (IoT) ecosystem, M2M technology plays a foundational role in smart infrastructure solutions, industrial IoT and automation, and AI-powered embedded systems. At the heart of this revolution lies System-on-a-Chip (SoC) technology—a core enabler of embedded sy

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the Internet of Things (IoT) by enabling real-time data processing directly on edge devices. Traditional IoT systems often depend on centralized cloud servers for computation, which introduces latency and dependency on network connectivity. However, AI-powered embedded systems and Edge AI in embedded devices are changing that — allowing data to be processed locally, securely, and instantly. This innov

The world of IoT product engineering is undergoing a massive transformation with the integration of Artificial Intelligence (AI) and Machine Learning (ML). Traditionally, IoT devices collected data from sensors and transmitted it to centralized servers for analysis. However, this model often introduced latency, network dependency, and potential data loss. With Edge AI embedded systems, the power of intelligence is shifting closer to where data is generated — at the edge. This

In today’s era of digital transformation for infrastructure, the Internet of Things (IoT) is rapidly reshaping how businesses interact with their customers. Across industries — from smart city solutions providers to industrial IoT and automation companies — organizations are leveraging IoT product engineering to deliver seamless, personalized, and efficient customer experiences. By integrating AI-powered embedded systems, smart infrastructure solutions, and connected IoT devi