Article #4 of Spotlight on Innovations in Edge Computing and Machine Learning: Discover the integration of TinyML and wearable tech as we delve into a project that detects falls in real-time, potentially saving lives in our aging population.
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Article #3 of Spotlight on Innovations in Edge Computing and Machine Learning: A computer vision system that detects and localizes the surface cracks in concrete structures for predictive maintenance.
16 minutes read
Article 6 of Bringing Intelligence to the Edge Series: The utilization of edge AI facilitates advanced system optimization, predictive maintenance, and improved anomaly detection, greatly advancing technological capabilities across varied fields.
Article 5 of Bringing Intelligence to the Edge Series: Integrating voice user interface technology into microcontroller units for offline, edge-based voice recognition is set to redefine the landscape of home automation and smart industrial applications.
Article 4 of Bringing Intelligence to the Edge Series: AI is proving to be a more precise and time-efficient tool in processing the big data crunch by recognizing patterns and noticing inconsistencies in real-time.
Article 3 of Bringing Intelligence to the Edge Series: Balancing the critical metrics of accuracy, power consumption, latency, and memory requirements is key to unlocking the potential of Tiny Machine Learning (TinyML) in low-power microcontrollers and edge computing.
Article 2 of Bringing Intelligence to the Edge Series: Advancements in AI and embedded vision technologies are revolutionizing various industries, enabling real-time decision-making, enhancing security, and facilitating automation in various applications.
Article 1 of Bringing Intelligence to the Edge Series: With the introduction of AI, IoT devices can become more intelligent and less reliant on external systems— but not without trade-offs in performance and cost. Understanding how to make that decision is key.
Introducing the Bringing Intelligence to the Edge Series: Exploring how Artificial Intelligence is moving to embedded systems, transforming technology across various applications.
Article #2 of Spotlight on Innovations in Edge Computing and Machine Learning: Edge AI techniques such as Keyword Spotting can turn an ordinary device into a smart appliance.
13 minutes read
This article provides a detailed guide to System in Package technology, its advantages and challenges, key components, design, and manufacturing process.
This article provides a detailed overview of the principles, components, types, applications, and future trends of Remote I/O technology.
Introducing a brand new series featuring innovative projects related to edge computing and machine learning. The first article presents a predictive maintenance solution utilizing the Nordic Thingy:91, monitoring machine health through anomaly detection with a TinyML model.
UART and SPI are key communication methods in electronics. UART is ideal for simple, long-distance connections, while SPI excels in fast data transfer. Used in GPS modules, SD cards, and microcontrollers, understanding their differences can help you choose the best for any given project.
PCB mounting is critical for ensuring the lifetime and dependability of electronic products, including careful component selection and location, adherence to industry standards, and the use of high-quality materials and assembly procedures. This post will go over PCB mounting techniques, tips, and best practices and expand on crucial aspects of printed circuit board mounting.
