QSENS’ Post

How AI is Revolutionizing Sensor Technology ? In the ever-evolving world of sensor technology, AI is emerging as a game-changer. AI enhances sensing and measurement by addressing key challenges in data accuracy, processing speed, and predictive maintenance. AI-driven systems can interpret vast data sets with remarkable precision, reducing human error and improving reliability. AI algorithms enable real-time data analysis, critical for applications requiring instantaneous responses. Overall, AI's role in sensor technology signifies a leap towards smarter, more efficient systems that promise to reshape various industries. CPATSS, is dedicated to developing advanced sensors for precise turbulence and vibration measurement in systems. #cpatss #AI #ML #sensor #IOT

Excited to share my latest project! I used an ESP32 CAM to build a machine learning model capable of recognizing three different objects: a cap, earpods, and a sharpener. The best part? I created my own dataset using the ESP32 itself, capturing photos to train the model. This project was a great learning experience, combining hardware and AI. Onward to more innovation! #MachineLearning #IoT #ESP32 #DIYTech #ArtificialIntelligence

Welcome guys! Youmoni presents our R&D Team from KTH Kungliga Tekniska högskolan (Royal Institute of Technology) in Stockholm. Team 1 conducts research related to sound analysis using Youmoni IoT Edge hardware (https://lnkd.in/gU3qrDSz) and implements advanced machine learning functions. They will be part of Youmoni’s advanced remote monitoring and predictive maintenance applications. Team 2 perform research related to Acoustic Emissions and learn patterns using Machine Learning. They use Youmoni’s unique Acoustic Emission (AE) sensor and integrates that into various pipe and valve applications and perform research related to signals and use machine learning. The objective is to identify relevant patterns that we will be used in Youmoni IoT edge applications for autonomous monitoring of e.g. ball bearings, pipes and valves. Stay tuned (Follow Youmoni) to learn more and see the fascinating results using latest technology related to machine learning and AI combined with sensor and IoT technology. #youmoni #iot #kth #sensor #ml #ai

#EdgeAI 🤖 Dive into this exciting tutorial by Sachin Soni from techiesms! Learn how to build a voice-controlled project using the Seeed Studio XIAO ESP32S3 Sense board and Edge Impulse. 🎤 In this step-by-step video, Sachin walks us through capturing audio data, training a machine learning model for keyword spotting, and deploying it on the XIAO ESP32S3 to control an LED with simple voice commands like "Yes" and "No." The onboard microphone of XIAO records the audio data for a fully customized voice recognition system. 🔊 By the end, you'll have your own functional voice-controlled LED system, powered by Edge Impulse's AI model. If you're excited about building smart projects with microcontrollers, this is the perfect beginner-friendly tutorial for you! Watch the full video below. 👇 https://lnkd.in/gtTUHhJb #ESP32 #ML #techiesms #EdgeImpulse #XIAO #MachineLearning #IoT

My latest blog on 'The Rise of TinyML: Revolutionizing Edge AI with Compact Machine Learning' has been published. The blog discusses the emerging concept of TinyML, which involves deploying machine learning models directly onto resource-constrained edge devices like microcontrollers and microprocessors. It explores how TinyML enables these devices to perform tasks traditionally requiring cloud-based servers, such as data analysis and decision-making, directly on the device itself. The blog also delves into the concept of edge AI, its benefits, challenges, and future potential of TinyML and edge AI, emphasizing their significance in various industries such as healthcare, manufacturing, and smart cities, where real-time data processing and decision-making are crucial for efficiency and innovation. The following graph is a snapshot from the blog and depicts the growing interest in edge AI in the recent years. For more info kindly refer to the below web link. https://lnkd.in/damV9qrp #IoT #Edgecomputing #EdgeAI

I'm thrilled to share our latest research, "Blue and Green-Mode Energy-Efficient Nanoparticle-Based Chemiresistive Sensor Array Realized by Rapid Ensemble Learning," now published in #ACS Applied Nano Materials! 🚀🌐 In this study, we tackled the pressing need for energy-efficient, selective, and sensitive sensor arrays tailored for IoT applications. By utilizing ensemble learning techniques, we designed a chemiresistive sensor array capable of operating in two modes: 🔹 Blue Mode: Activates all sensors for maximum sensitivity. 🔹 Green Mode: Selectively activates key sensors, significantly reducing energy consumption while maintaining detection accuracy. Our approach demonstrates that advanced AI techniques like Elastic Net Regression, Random Forests, and XGBoost can optimize sensor efficiency. The potential applications for this technology are vast, spanning wearable electronics, environmental monitoring, and smart home solutions. A big thank you to my incredible co-authors James Cooper, Muhammad Usman, Timothy van der Laan, and collaborators for making this possible! 🙏✨ Check out the full article here: https://lnkd.in/g-azGTGF #IoT #sensor #energyefficiency #AI #research #machinelearning #chemiresistive #system #engineering

At #embeddedworld Wednesday, POLYN CEO Aleksandr Timofeev will speak on the case for sensor data neuromorphic pre-processing in IIoT. If you’re at the show, it will be worth attending. https://bit.ly/3N73yyp #chip #neuromorphic #analogdesign #AI #tinyml #tinyai #neuralnetworks #ml #dataprocessing #edgeAI #ultralowpower #neuromorphicsensing #iot #iiot #conditionmonitoring #iotdevices #predictivemaintenance 

The Industrial Internet of Things (IIoT) has revolutionized manufacturing by connecting machines, sensors, and systems, enabling real-time monitoring and data exchange. But what happens when you combine the power of IIoT with artificial intelligence (AI)? Enter AIIOT - the Artificial Intelligence of Internet of Things. While IIoT focuses on connectivity and data collection, AIIOT takes it a step further by integrating AI algorithms and models to extract valuable insights and predictions from the vast amounts of data generated by IIoT devices. By leveraging AI techniques like machine learning and advanced analytics, AIIOT unlocks the true potential of IIoT data, enabling predictive maintenance, process optimization, quality control, and even autonomous operations. #ai #iot #iiot #aiiot #data #manufacturingindustry #industry40 #qualityassurance #qualitycontrol #maintenance #trending

The new issue of @i40Today features an insightful article by POLYN’s Eugene Zetserov on the advantages of NASP for cost-effective #vibrationanalysis. Read it here: https://bit.ly/3CmpWBQ #industry40 #IoT #chip #neuromorphic #analogdesign #AI #tinyml #tinyai #neuralnetworks #ml #dataprocessing #edgeAI #ultralowpower #neuromorphicsensing #iiot #conditionmonitoring #iotdevices #predictivemaintenance #vibrationmonitoring

Hi folks! 🌟🔍 Check out BrainChip Holdings' latest tech breakthrough: the Akida Pico! This low-power neural processor is reshaping AI at the edge for wearables and IoT devices. Here’s what makes it a game-changer: • 𝗨𝗹𝘁𝗿𝗮-𝗟𝗼𝘄 𝗣𝗼𝘄𝗲𝗿: Operates on less than 1 mW, extending battery life for compact devices. 🔋 • 𝗖𝗼𝗺𝗽𝗮𝗰𝘁 𝗗𝗲𝘀𝗶𝗴𝗻: Tiny die size makes it perfect for wearables and remote sensors. 📏 • 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗔𝗜 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: Supports applications like voice wake detection and vital sign monitoring, using event-based processing for optimal efficiency. 🗣️💡 • 𝗙𝗹𝗲𝘅𝗶𝗯𝗹𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Works both as a standalone core or a co-processor, with support for TensorFlow/Keras and PyTorch through MetaTF software flow. 🧠 Perfect for developers looking to boost edge AI performance without the power drain! Read the full news below to learn more 👇: https://cstu.io/69692d #TechInnovation #EdgeComputing #AI #BrainChip