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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The AlertAlfred AI Security SystemPowered by a Raspberry Pi 5 and the Hailo 8L Module AI in Electronics DevelopmentAn Update After Only One Year Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Single-Board Computers for Artificial Intelligence ProjectsBackground and Overview From Sensor Data to Machine Learning ModelsGesture Detection with an Accelerometer and Edge Impulse Build a Leaky Integrate-and-Fire Spiking NeuronArtificial Intelligence Without Software ChatGPT for Electronic DesignDoes GPT-4o Do It Any Better? Bringing AI to the Edge with ESP32-P4 Exploring Speech Functions on Raspberry Pi ZeroWhen Overclocking Gives Freedom of Speech The Growing Role of Edge AIA Trend Shaping the Future Unlocking the Power of Edge AIA Conversation with François de Rochebouët of STMicroelectronics A VHDL Clock Made with ChatGPT AI’s Real ImpactSayash Kapoor on “AI Snake Oil” and More The Latest Stuff From BeagleBoardBeagleY-AI, BeagleV-Fire, BeagleMod, BeaglePlay and BeagleConnect Freedom Mosquito Detection Using Open Datasets and Arduino Nicla Vision AI Today and Tomorrow: Insights from Espressif, Arduino, and SparkFun Artificial Intelligence Timeline BeagleY-AIThe Latest SBC for AI Applications AI in FocusPerspectives from the Elektor Community Machine Vision with OpenMVCreate a Soda Can Detector A Conversation with the Digital MindChatGPT vs Gemini Skilling Me Softly with This Bot?Is the AI Revolution in the Electronic Field Failing Due to a Lack of Social Precision?

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. What to expect This Elektor edition guest-edited by Edge Impulse explores the edge AI workflow, from data collection and model training to deployment and optimization: End-to-End Edge AIA hands-on object detection series that walks through the complete machine learning pipeline on embedded hardware. High-Resolution, High-Speed Object Counting (Nvidia Jetson Nano, TensorRT)Pushing inference speed and precision for visual counting applications. PCB Defect Detection with Computer Vision (Raspberry Pi)Smarter manufacturing through embedded vision. Smart Building Ventilation with Sensor FusionAI-powered environmental optimization for energy efficiency. Analog Meter Reading (Arduino Nicla Vision)A TinyML approach to automating analog infrastructure. Smart Appliance Control Using Voice Commands (Nordic Thingy:53)Speech recognition at the edge. Liquid Classification with TinyML (Seeed Wio Terminal + TDS Sensor)Combining IoT sensing and embedded ML for fluid analysis. Surgery Inventory Object DetectionApplying real-time vision to healthcare logistics. Plus, the magazine includes exclusive interviews with: Edge Impulse co-founders Zach Shelby and Jan Jongboom; Qualcomm Technologies VP of product management Manny Singh; and EDGE AI FOUNDATION CEO Pete Bernard. Also included are a Tech the Future essay titled "AI at the Edge: Powering the Next Generation of Devices," an Industry Case Study on GlobalSense, and more. Contents What the Heck Is Edge AI Anyway?Bringing Intelligence to the Device Meet Edge Impulse StudioEasily Build and Deploy Edge AI Models Keyword Spotting with Edge ImpulseCollect, Train, and Deploy Smart Appliance Control Using Voice Commands with the Nordic Thingy:53 Key Terms for Understanding Edge AI and Machine Learning Crash Course: Getting Started with Edge ImpulseLearn to Collect, Train, and Deploy an ML Model with the Arduino Nano 33 BLE Sense A New Chapter for ArduinoFrom Hobby Board to Edge Computing Powerhouse Getting Started with Object Detection on Edge Devices PCB Defect DetectionComputer Vision with Raspberry Pi Scaling AI to the Smallest Devices Optimizing Power Efficiency in Battery-Driven Edge AI Devices AI ToasterWhen Edge AI Meets Breakfast Thundercomm Rubik Pi 3Raspberry Pi Familiarity Meets Edge AI Leadership, Embedded ML, and the Edge Revolution Vision Language Models for the EdgeCascading Models for Better Reliability Get to Know Edge ImpulseQuestions from the Elektor Community Project Update #5: ESP32-Based Energy MeterUsing Edge AI to Recognize Household Loads Motion Recognition with Anomaly DetectionAn End-to-End Tutorial Smart Ventilation System: Fusing Sound and Environmental DataA Dual-MCU Machine Learning Approach for Automated Window and Louver Control Bringing Voice Control to Earbuds and Headsets AI at the Edge: Powering the Next Generation of Devices

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. What to expect This Elektor edition guest-edited by Edge Impulse explores the edge AI workflow, from data collection and model training to deployment and optimization: End-to-End Edge AIA hands-on object detection series that walks through the complete machine learning pipeline on embedded hardware. High-Resolution, High-Speed Object Counting (Nvidia Jetson Nano, TensorRT)Pushing inference speed and precision for visual counting applications. PCB Defect Detection with Computer Vision (Raspberry Pi)Smarter manufacturing through embedded vision. Smart Building Ventilation with Sensor FusionAI-powered environmental optimization for energy efficiency. Analog Meter Reading (Arduino Nicla Vision)A TinyML approach to automating analog infrastructure. Smart Appliance Control Using Voice Commands (Nordic Thingy:53)Speech recognition at the edge. Liquid Classification with TinyML (Seeed Wio Terminal + TDS Sensor)Combining IoT sensing and embedded ML for fluid analysis. Surgery Inventory Object DetectionApplying real-time vision to healthcare logistics. Plus, the magazine includes exclusive interviews with: Edge Impulse co-founders Zach Shelby and Jan Jongboom; Qualcomm Technologies VP of product management Manny Singh; and EDGE AI FOUNDATION CEO Pete Bernard. Also included are a Tech the Future essay titled "AI at the Edge: Powering the Next Generation of Devices," an Industry Case Study on GlobalSense, and more. Contents What the Heck Is Edge AI Anyway?Bringing Intelligence to the Device Meet Edge Impulse StudioEasily Build and Deploy Edge AI Models Keyword Spotting with Edge ImpulseCollect, Train, and Deploy Smart Appliance Control Using Voice Commands with the Nordic Thingy:53 Key Terms for Understanding Edge AI and Machine Learning Crash Course: Getting Started with Edge ImpulseLearn to Collect, Train, and Deploy an ML Model with the Arduino Nano 33 BLE Sense A New Chapter for ArduinoFrom Hobby Board to Edge Computing Powerhouse Getting Started with Object Detection on Edge Devices PCB Defect DetectionComputer Vision with Raspberry Pi Scaling AI to the Smallest Devices Optimizing Power Efficiency in Battery-Driven Edge AI Devices AI ToasterWhen Edge AI Meets Breakfast Thundercomm Rubik Pi 3Raspberry Pi Familiarity Meets Edge AI Leadership, Embedded ML, and the Edge Revolution Vision Language Models for the EdgeCascading Models for Better Reliability Get to Know Edge ImpulseQuestions from the Elektor Community Project Update #5: ESP32-Based Energy MeterUsing Edge AI to Recognize Household Loads Motion Recognition with Anomaly DetectionAn End-to-End Tutorial Smart Ventilation System: Fusing Sound and Environmental DataA Dual-MCU Machine Learning Approach for Automated Window and Louver Control Bringing Voice Control to Earbuds and Headsets AI at the Edge: Powering the Next Generation of Devices

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Small Thermal Imaging CameraAn Arduino UNO-Based DIY Solution Project Update #3: ESP32-Based Energy MeterIntegration and Testing with Home Assistant 2024: An AI OdysseyEnhancing Object Detection: Integrating Refined Techniques Raspberry Pi Goes AINew Kit Incorporates M.2 HAT+ With AI Accelerator Weather Station SensorsWhich One Should You Choose? AI-Based Water Meter Reading (1)Get Your Old Meter Onto the IoT! A GSM AlarmHarnessing GSM Technology for Remote Garage Safety Low-Power Thread Devices Optimized and ScrutinizedLow Power … Low Effort? From Life’s ExperienceThe Gender Gap DIY Cloud ChamberMaking Invisible Radiation Visible SparkFun Thing Plus MatterA Versatile Matter-Based IoT Development Board IoT RetrofittingMaking RS-232 Devices Fit for Industry 4.0 Enabling IoT with 8-Bit MCUs Technology Drives SustainabilityAdvances Lead to More Efficient Use of Energy in Many Applications AWS for Arduino and Co. (1)Using AWS IoT ExpressLink in Real Life Airflow Detector Using Arduino OnlyNo External Sensors Needed! Water Leak DetectorConnected to Arduino Cloud CrystalsPeculiar Parts, the Series Universal Garden LoggerA Step Towards AI Gardening Analog 1 kHz GeneratorSine Waves with Low Distortion Miletus: Using Web Apps OfflineSystem and Device Access Included! From 4G to 5GIs It Such an Easy Step? Starting Out in Electronics……Balances Out

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Accelerating IoT Innovation A Color E-Ink Wi-Fi Picture Frame ESP-Launchpad TutorialFrom Zero to Flashing in Minutes ESP32 and ChatGPTOn the Way to a Self-Programming System… Walkie-Talkie with ESP-NOWNot Quite Wi-Fi, Not Quite Bluetooth! From Idea to Circuit with the ESP32-S3A Guide to Prototyping with Espressif Chips AIoT Chip InnovationAn Interview With Espressif CEO Teo Swee-Ann Simulate ESP32 with WokwiYour Project’s Virtual Twin Trying Out the ESP32-S3-BOX-3A Comprehensive AIoT Development Platform Electronics Workspace EssentialsInsights and Tips From Espressif Engineers The ESP RainMaker StoryHow We Built “Your” IoT Cloud Assembling the Elektor Cloc 2.0 KitAn Elektor Product Unboxed by Espressif Unleashing the ESP32-P4The Next Era of Microcontrollers Rust + EmbeddedA Development Power Duo Who Are the Rust-Dacious Embedded Developers?How Espressif is Cultivating Embedded Rust for the ESP32 Espressif’s Series of SoCs Building a PLC with Espressif SolutionsWith the Capabilities and Functionality of the ISOBUS Protocol The ESP32-S3 VGA BoardBitluni’s Exciting Journey Into Product Design Acoustic Fingerprinting on ESP32Song Recognition With Open-Source Project Olaf Circular Christmas Tree 2023A High-Tech Way to Celebrate the Holiday Season A Simpler and More Convenient LifeAn Amateur Project Based on the Espressif ESP8266 Module How to Build IoT Apps without Software ExpertiseWith Blynk IoT Platform and Espressif Hardware Building a Smart User Interface on ESP32 Quick & Easy IoT Development with M5Stack Prototyping an ESP32-Based Energy Meter A Value-Added Distributor for IoT and More In-Depth Insights: Interview With Arduino on the Nano ESP32Alessandro Ranellucci and Martino Facchin Discuss Espressif Collaboration Your AIoT Solution ProviderInsights From Espressif Streamlining MCU Development With ESP-IDF Privilege Separation An Open-Source Speech Recognition Server……and the ESP BOX The Thinking EyeFacial Recognition and More Using the ESP32-S3-EYE ESP32-C2-Based Coin Cell SwitchDesign and Performance Evaluation The Smart Home Leaps Forward with MatterUnlocking Smart Home IoT Potential Tech the Future: Where Is Smart Home IoT Headed?

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This hands-on bundle lets you build real Edge AI applications with the Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) The Raspberry Pi AI HAT+ (13 TOPS) is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Raspberry Pi Camera Module 3 Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter. Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers. Book: Edge AI Made Practical – AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. This bundle contains: Book: Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Active Cooler for Raspberry Pi 5 FPC Display Cable for Raspberry Pi 5 (300 mm) Elektor Component Kit 40-pin GPIO Header Traffic Light Module LED red 5 V with built-in resistor LED yellow 5 V with built-in resistor LED green 5 V with built-in resistor LED blue 5 V with built-in resistor Breadboard (400 Tie-points) 10 Dupont wires male-female DHT22 sensor module Servo motor Required Raspberry Pi 5

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AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. Then it’s straight to hands-on physical computing. Step by step, you’ll set up Raspberry Pi OS, power and cooling, and develop in Python using the Thonny IDE. You’ll learn GPIO basics with lights and servos, mount the AI HAT+ hardware, install and verify the Hailo software stack, and connect the right camera—official modules or USB webcams, even multiple cameras. From your first pipeline to real projects, you’ll run person detection, pose estimation, segmentation, and depth estimation, then level up with YOLO object detection: smart alerts, guest counters, and custom extensions. You’ll even connect vision to motion by combining gesture recognition with servo-driven mechanisms, including a robotic arm. With troubleshooting tips, hardware essentials, and a practical Python refresher, this book turns Edge AI from buzzword into buildable reality.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Digital Load for High-Current TestingFrom Necessity to Innovation Vocal RemoverInstant Karaoke Circuit Audio A/B Selector With Gain ControlSwitches from Microphone to Line Inputs Better Charging for the LIR2032Be Kind to Your Coin Cells Touch Sensing Made SimpleA DIY Guide for Any Microcontroller Universal Infrared Remote SwitchA New Life for Old Remotes Microcontroller-Powered Moo BoxMaking Playful Sounds With a Microcontroller USB Battery Interface Powering Low-Draw Devices With Power BanksA “Stay Alive” Solution Small Class-A Audio Amplifier With Current OutputDrive Speakers with Current Instead of Voltage Pseudo-Balanced ModuleHigh CMRR with Unbalanced Audio Links Ni-MH Cells Automatic ChargerRefill All Your Battery Packs in One Go! Thyristor-Based Power Supply Protection Fingerprint Sensor SwitchA Useful Proof-of-Identity Device DC-DC 3-A Power ConverterUpgrade Your Fixed-Voltage Sources Remote Water Heater MonitorVoltage and Current Detection for AC Lines Attenuators for Audio Signals (1)Adjustable Via Jumpers Pimp My Car Battery Charger (Part 1)Don’t Throw It Away, Mod It! A Board for the Blue OnePCB for Alps Motorized Potentiometer with Feedback 50-Hz Reference from 60-Hz Mains VoltageHow to Use 50-Hz Electronics in 60-Hz Environments Digital IsolatorsRealizing Galvanic Isolation Easily Compact 12-W Hi-Fi Mono AmplifierSmall But Powerful LM386 Ramp Generator Three-Phase GeneratorWith Raspberry Pi Pico Door Opener for the Musically Talented Elektor Classic: Surf SynthesizerOcean Watersports Background Sound Generator (OWBSG) Pimp my Car Battery Charger (Part 2)Don’t Throw It Away, Mod It! Lamp Current MonitorWith a Raspberry Pi Pico Infrared Telegraphy Fnirsi SWM-10Repair Battery Packs With This Portable Intelligent Spot Welding Machine Stereo Audio Codec for the ESP32 and Co.No Need to Be Afraid of Audio Measurement Technology Tin Soldering TechniquesMake Them Well Right Away! Attenuators for Audio Signals (2)Switching Via Relays USB-C PowerDrawing Power from USB-C Power Adapters Three Circuits with Two and Three Counter ICs4017 ICs Working Together Active Components – The Diode A Timer For Ultra-Long DelaysSet It, and Forget It! Jack In and Jack OutA Useful Insert Option for Audio Circuits Power an ESP32 from a Single Li-ion Cell Hexadoku

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Arduino Portenta Machine Control and Arduino Portenta H7A CAN-to-MQTT Gateway Demo Project Unboxing the Elektor LCR Meter with David Cuartielles MicroPython Enters the World of Arduino Connected Projects, SimplifiedDive Into the Arduino Cloud Introduction to TinyMLBig Is Not Always Better Arduino K-Way Writing Arduino Sketches Just Got Better Get to Know Arduino Getting Started with the Portenta X8Manage Software Securely with Containers Build, Deploy, and Maintain Scalable, Secure ApplicationsWith Arduino Portenta X8 Featuring NXP’s i.MX 8M Mini Applications Processor and EdgeLock SE050 Secure Element How I Automated My HomeArduino CEO Fabio Violante Shares Solutions Altair 8800 SimulatorHardware Simulation of a Vintage Computer MS-DOS on the Portenta H7Run Old-School Software on Contemporary Hardware Grow It YourselfA Digitally Controlled, Single-Box Solution for Indoor Farming Save the Planet With Home Automation?MQTT on the Arduino Nano RP2040 Connect Go Professional with Arduino Pro Smart Ovens Take a Leap Into the Future Tagvance Builds Safer Construction Sites with Arduino Santagostino Breathes Easywith Remote Monitoring that Leverages AI for Predictive Maintenance Security Flies High with RIoT Secure’s MKR-Based Solution Open-Source Brings a New Generation of Water Management to the World SensoDetect Deforestation with Sound Analysis The Mozzi Arduino Library for Sound SynthesisInsights from Tim Barrass The New Portenta X8 (with Linux!) and Max Carrier Redefine What’s Possible How Using Arduino Helps Students Build Future Skills Must-Haves for Your Electronics Workspace The Importance of Robotics in Education Dependable IoT Based Upon LoRa Unboxing the Portenta Machine Control 8-Bit Gaming with Arduboy Reducing Water Usage at Horseback Riding TracksAn IoT to Constantly Monitor Soil Humidity and Temperature Levels The Panettone ProjectA sourdough starter management and maintenance system Supporting Arduino Resellers Space Invaders with Arduino Art with ArduinoInspiring Insights from Artists and Designers Arduino Product Catalogue The Future of Arduino

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Elektor GREEN en GOLD leden kunnen deze uitgave hier downloaden. Nog geen lid? Klik hier om een lidmaatschap af te sluiten. Project-update: ESP32-gebaseerde energiemeterwe gaan verder met het prototype Optimalisatie van balkon PV-centralesoverwegingen, interessante feiten en berekeningen ESP32 met OpenDTU voor balkoncentralesgegevens van kleine omvormers via MCU’s uitlezen Regelbare lineaire labvoeding0...50 V / 0...2 A + dubbele symmetrische voeding Energieopslag – vandaag en morgeneen vraaggesprek met Simon Engelke 2024: een AI-odysseehet houdt nog lang niet op Bluetooth LE op de STM32meetwaarden op afstand uitlezen Mensvriendelijk slim keuken-voorraadsysteem MAUI: programmeren voor PC, tablet en smartphonehet nieuwe framework in theorie en praktijk ChatMagLevkunstmatig intelligente levitatie Eenvoudige PV-regelaarbouw je eerste, volledig functionele PV-energiebeheersysteem Koude-kathode-buizenvreemde onderdelen Uit het leven gegrepennostalgie Alle begin......bekijkt de FET CAN-bus voor de Arduino UNO R4: een tutorialtwee UNO R4’s nemen de bus! Elektor infographicvoeding en energie Vergelijking van vermogensdichtheid en vermogensefficiëntie Aluminium elektrolytische condensatorenstoringspotentieel in audiotechnologie USB testen en metenmet de Fnirsi FNB58 De Pixel Pump pick&place-tooleenvoudiger handmatige assemblage van SMT-printen Oost West Lab Bestnog niet zo lang geleden, in een land heel ver van hier... “In de wereld van ethiek in elektronica kunnen zelfs kleine stappen een aanzienlijke invloed hebben.” Ethiek in elektronicade OECD Guidelines en het Lieferkettensorgfaltspflichtengesetz Chadèche: slimme NiMH-(ont)laderlezersproject in het kort Project 2.0correcties, updates en brieven van lezers

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