Enterprise IoT is another direction of IoT industry development, which businesses are actively adopting. Embedded technologies for large organizations bring new challenges in terms of connectivity, network stability, and data security.
Ultra-Wideband (UWB) has moved from niche industrial RTLS to mainstream, with easier deployment via enterprise access points and standards. Discover how UWB is transforming asset tracking, logistics, and manufacturing with cost-effective, sub-meter accuracy.
Explore the top 5 use cases of Software-Defined Connectivity (SDC) and learn how SDC reduces costs, improves compliance, and accelerates IoT innovation.
Today almost 30 percent of embedded projects have over 100,000 lines of code, and this increasing complexity is now the number one driver of project delays, and the reason 60 percent of an embedded development project's cost is software.
Integrating Non-Terrestrial Networks (NTN) with cellular IoT delivers seamless global connectivity, powered by the nRF9151 module for hybrid GEO, LEO, and terrestrial communication.
The Raspberry Pi is an excellent example of a versatile and cost-effective single-board computer. Originally designed for simple teaching purposes, it soon became apparent that these machines offered a much broader scope.
While not every delivery is tracked in ‘real time’ at the parcel level yet, that day will come, particularly for high value or perishable cargoes. Logistics companies looking to improve efficiencies and reduce costs are rapidly adopting cellular IoT and WiFi solutions that support real time location
Visualizing the energy consumption profile of your embedded IoT device marks the initial step toward achieving low-power design and extended battery life. The subsequent step is analysis, where you can make a significant impact on your energy optimization efforts.
The way we get from A to B and back is rapidly evolving. At the heart of the urban transport revolution is technology-driven electric mobility (‘e-mobility’).
Standard data communication protocols like BACnet & Modbus have revolutionized and simplified industrial automation, helping devices to efficiently exchange data. Choosing the best one requires - understanding their key differences, challenges, and advancements, as we discuss in this article.
Artificial Intelligence (AI) is a branch of computer science that has developed a processing system capable of behaving like human intelligence. It can perform reasoning, calculation and analytical tasks and learn from these to improve its performance.
The future of data, Edge Data Center, is equivalent to a mini data centre. Its proximity to enterprises eliminates latency and other limitations, giving access to real-time data. In this article, we will delve into its core concepts, advancements, operational challenges, and real-time applications.
The increasing importance of environmental monitoring and disaster response in the face of climate change and natural disasters has been significantly enhanced by the revolutionary impact of cutting-edge technologies like the Internet of Things (IoT).
Modern wearable consumer electronics devices increasingly combine convenience and purpose with more than a touch of classic style in order to grab a slice of a lucrative and growing market.
Wireless connectivity makes dumb products intelligent. Smart devices can transmit information about their surroundings and conditions while receiving instructions and updates. That in turn enables functionality that’s impossible for products operating in isolation.
Explore the transformative power of precision agriculture, highlighting innovations like Particle's M-Series and the future of sustainable farming. Dive into the evolution, technologies, and trends shaping tomorrow's agriculture.
NXP Semiconductors' new MCX N Series advanced processor engines are general-purpose and application-specific microcontrollers based on Arm® Cortex®-M33 CPUs.
The importance of equipment maintenance is clear. In recent years, equipment maintenance techniques have also advanced from breakdown maintenance to preventive maintenance and now focus on predictive maintenance.