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23 projects to bring your microcontroller to life! This book contains 23 special and exciting artificial intelligence machine-learning projects, for microcontroller and PC. Learn how to set up a neural network in a microcontroller, and how to make the network self-learning. Discover how you can breed robots, and how changing a fitness function results in a totally different behavior. Find out how a PC program exposes your weak spots in a game, and ruthlessly exploits them. Build a free-will robot, or have one clean your floor! Example projects from the book: A microcontroller that learns what your favourite color is. A robot wandering about the house looking for someone to play with. A bred robot program that is incapable of crossing a black line. A microcontroller that learns how to play a game until You just can't win anymore. A PC that programs a microcontroller all by itself. Complete with free software that you can download containing: All source code for the microcontroller. All sources of compiled PC programs (MS Windows). JAL programming language, with special editor and extension libraries. Robot breed program. Plus a support webpage with links, errata and FAQ. Several artificial intelligence techniques are discussed and used in projects such as expert system, neural network, subsumption, emerging behavior, genetic algorithm, cellular automata and roulette brains. Every project has clear instructions and pictures so you can start immediately. Suggestions and literature links allow you to go way beyond the scope of the book. Even after you have built all the projects contained within, this book will remain a valuable reference guide to keep next to your PC. A unique book for anyone with an interest in artificial intelligence and machine learning.

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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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RFID technology has conquered many areas in which barcodes, magnetic strips and contact smartcards were used previously. Everyday applications, such as electronic ticketing, access cards, debit cards and electronic identity documents would not be possible without this technology. MIFARE is the most widely used RFID technology, and this book provides a practical and comprehensive introduction to it. Among other things, the initial chapters cover physical fundamentals, relevant standards, RFID antenna design, security considerations and cryptography. The complete design of a reader’s hardware and software is described in detail. The reader’s firmware and the associated PC software support programming using any .NET language. The specially developed PC program, “Smart Card Magic.NET”, is a simple development environment that supports sending commands to a card at the click of a mouse, as well as the ability to create C# scripts. Alternatively, one may follow all of the examples using Visual Studio 2010 Express Edition. Finally, the major smart card reader API standards are introduced. The focus is on programming contactless smartcards using standard PC/SC readers using C/C++, Java and C#.

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Elektor 01-02/2021 als PDF (DE)

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Develop your own custom home automation devices Espressif's ESP8266 and ESP32 microcontrollers have brought DIY home automation to the masses. However, not everyone is fluent in programming these microcontrollers with Espressif's C/C++ SDK, the Arduino core, or MicroPython. This is where ESPHome comes into its own: with this project, you don’t program your microcontroller but configure it. This book demonstrates how to create your own home automation devices with ESPHome on an ESP32 microcontroller board. You’ll learn how to combine all kinds of electronic components and automate complex behaviours. Your devices can work completely autonomously, and connect over Wi-Fi to your home automation gateways such as Home Assistant or MQTT broker. By the end of this book, you will be able to create your own custom home automation devices the way you want. Thanks to ESPHome and the ESP32, this is within everyone’s grasp. Set up an ESPHome development environment and create maintainable configurations Use buttons and LEDs Sound a buzzer and play melodies Read measurements from various types of sensors Communicate over a short distance with NFC, infrared light, and Bluetooth Low Energy Show information on various types of displays Downloads Software

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Elektor 09-10/2020 als PDF (DE)

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A Small Basic Approach There are many different PC programming languages available on the market. Some have beautiful names; some have easy to use development tools. Others have incredible power. They all have one thing in common: they assume that you have, or want to have, a knack for technology and difficult to read commands. In this book we take a practical approach to programming. We assume that you simply want to write a PC program, and write it quickly. Not in a professional environment, not in order to start a new career, but for plain and simple fun... or just to get a task done. Therefore we use Small Basic. You will have an application up and running in a matter of minutes. You will understand exactly how it works and be able to write text programs, graphical user interfaces, and advanced drivers. It is so simple; you don't even need to be an adult!

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Steeds vaker komen we op smartphones en tablet-computers het besturingssysteem Android tegen. Het aantal toepassingsprogramma's – de zogenaamde applicaties of kortweg apps - waarmee de apparaten individueel aan de voorkeuren en wensen van de gebruiker kunnen worden aangepast, neemt van dag tot dag toe. En de steeds betere technische uitvoering en uitrusting van de apparaten maken het nu mogelijk toepassingen te 'draaien' waarvoor een paar jaar geleden nog een desktop-PC of speciale hardware vereist was. Inmiddels kan elke smartphone de exacte (geografische) positie bepalen, video's opnemen – en nog veel meer. Maar bij het individualiseren van onze smartphone hoeven we ons niet te beperken tot kant-en-klare applicaties! Het is namelijk helemaal niet zo moeilijk om zelf Android-apparaten te programmeren en eigen apps te schrijven. Dit boek vormt een inleiding tot het programmeren van apps voor Android-apparaten. De werking van het Android-systeem wordt op begrijpelijke manier uitgelegd en we zien stap voor stap hoe applicaties kunnen worden geprogrammeerd. Aan de hand van een groot aantal voorbeelden worden allerlei toepassingsmogelijkheden getoond. Het scala loopt van eenvoudige rekenprogramma's via het uitlezen van sensoren en GPS-data tot het programmeren van applicaties voor internetcommunicatie. Naast het schrijven van applicaties in de programmeertaal Java wordt in dit boek ook besproken hoe apps met behulp van Javascript of PHP-scripts kunnen worden geprogrammeerd.

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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. Het AlertAlfred AI-beveiligingssysteemmet Raspberry Pi 5 en Hailo 8L-module AI in elektronica-ontwikkelingeen update na slechts één jaar AI-algoritmen – een inleidingprompt: welke algoritmen implementeren AI-tools? Single-board computers voor AI-projectenachtergrond en overzicht Van sensordata naar machine learning-modelgebarendetectie met een versnellingsmeter en Edge Impulse Bouw uw eigen lekkend integreer-en-vuur neuronkunstmatige intelligentie zonder software Elektronica ontwerpen met ChatGPTdoet GPT-4o het beter? Breng AI naar de edgemet ESP32-P4 Spraakfuncties verkennen met een Raspberry Pi Zerooverklokken geeft recht van spreken De groeiende rol van Edge-AIeen trend die de toekomst vormgeeft De kracht van Edge-AI ontsluiteneen gesprek met François de Rochebouët van STMicroelectronics Een VHDL-klok gemaakt met ChatGPThoe AI de manier waarop we leren transformeert De werkelijke impact van AISayash Kapoor over ‘Haarlemmer AI-olie’ en meer Het laatste nieuws van BeagleBoardBeagleY-AI, BeagleV-Fire, BeagleMod, BeaglePlay en BeagleConnect Freedom Muggen detecterenmet open datasets en Arduino Nicla Vision AI nu en morgen:gedachten van Espressif, Arduino en SparkFun Tijdlijn kunstmatige intelligentie BeagleY-AIde nieuwste SBC voor AI-toepassingen AI in beeldgedachten uit de Elektor-community Machine vision met OpenMVmaak een frisdrankblik-detector Een gesprek met het digitale breinChatGPT versus Gemini “Skilling Me Softly with This Bot?”mislukt de AI-revolutie op elektronisch gebied door een gebrek aan sociale precisie?

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Der simpel „Stromversorgung“ genannte Schaltungsteil wird sowohl bei der Entwicklung als auch bei der Reparatur von Elektronik enorm unterschätzt. Dabei ist die Vielfalt bei Netzteilen oder neudeutsch „PSU“ enorm. Es gibt sie in den unterschiedlichsten Ausführungen: mit Gleich- oder Wechselspannung, als Generator, Akku oder Batterie, als Solar-Panel, extern oder eingebaut, linear oder „geschaltet“ – um nur einige zu nennen. Auch die Leistungsbereiche sind enorm: von Nano-Ampere bis Kilo-Ampere – dasselbe gilt für Spannungen. Bei der konkreten Umsetzung kann man zwischen ICs oder diskreten Bauteilen, zwischen fertigem Gerät bzw. Modul oder der Realisation aus selbstverlöteten Bauteilen wählen. Dieses Special deckt die wichtigsten Merkmale und Gestaltungsaspekte von Stromversorgungen ab. Inhalt Grundlagen BatteriemanagementWas man beim Einsatz von (Lithium-)Akkus beachten muss. Festspannungsnetzgerät mit LinearreglerDas beste Ergebnis gleich nach den Batterien. Lichtenergie sammelnWie man ein Solarmodul für ein Energy-Harvesting-Projekt verwenden kann. Netzbetriebene VersorgungsgeräteBasis-schaltungen und Tipps für Transformatoren, Gleichrichtung, Siebung und Stabilisierung. SanftanlaufDer hohe Einschaltstrompuls sollte vermieden werden. Steuerbare GleichrichterEinige Vorschläge um die Verlustleistung im Längsregler möglichst gering zu halten. Komponenten Arbeitsblatt: Spannungsreglerserie LM117 / LM217 / LM317 Supercaps Reviews Labornetzteil-Kit Joy-iT RD6006 Elektronische Last Siglent SDL1020X-E Projekte Balkon-KraftwerkSelbst installiert = schnell amortisiert! DIY-LiPo-Supercharger-KitVom Prototyp zum Massenmarkt. Doppelanoden-MOSFET-ThyristorSchneller und effizienter als herkömmliche SCRs. Batterie-EntsafterNicht wegwerfen, ausquetschen! Hochspannungsnetzteil mit KennlinienschreiberSpannungen bis 400 V einstellen und Kennlinien für Röhren und Transistoren erstellen. HochspannungsnetzteilFür RIAA-Röhrenvorverstärker und andere Anwendungen. MicroSupplyEine Laborstromversorgung für universelle Anwendungen. Phantom-Speisung mit geschalteten KondensatorenSpannungsverdreifachung mit zwei ICs. Das SMPS800RE Schaltnetzteil für den Elektor Fortissimo-100Zuverlässig, leicht und erschwinglich. SoftstartSchont das Netzgerät und die Last. UniLab 2Geschaltetes Labornetzteil 0…30 V/3 A Tipps Softstart für Step-Down-Schaltregler Stromabschaltung mit minimalen Verlusten Powerbank-Geheimnisse Künstliche Masse Akku-Erfrischer Akkupack-Entlader Parallelschaltung von Spannungsreglern

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Computer vision is probably the most exciting branch of image processing, and the number of applications in robotics, automation technology and quality control is constantly increasing. Unfortunately entering this research area is, as yet, not simple. Those who are interested must first go through a lot of books, publications and software libraries. With this book, however, the first step is easy. The theoretically founded content is understandable and is supplemented by many practical examples. Source code is provided with the specially developed platform-independent open source library IVT in the programming language C/C++. The use of the IVT is not necessary, but it does make for a much easier entry and allows first developments to be quickly produced. The authorship is made up of research assistants of the chair of Professor Ruediger Dillmann at the Institut für Technische Informatik (ITEC), Universitaet Karlsruhe (TH). Having gained extensive experience in image processing in many research and industrial projects, they are now passing this knowledge on. Among other subjects, the following are dealt with in the fundamentals section of the book: Lighting, optics, camera technology, transfer standards, camera calibration, image enhancement, segmentation, filters, correlation and stereo vision. The practical section provides the efficient implementation of the algorithms, followed by many interesting applications such as interior surveillance, bar code scanning, object recognition, 3-D scanning, 3-D tracking, a stereo camera system and much more.

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Lichtgevende dioden in theorie en praktijk Door verbetering van de lichtopbrengst en goedkopere productiemethoden is het toepassingsgebied van de LED uitgebreid van optische indicator tot energiezuinige lichtbron. Deze speciale Elektor-uitgave biedt niet alleen theoretische informatie, maar laat ook zien hoe en waar LED’s tegenwoordig toegepast worden. Bovendien bevat deze uitgave enkele beproefde elektronische schakelingen voor zelfbouw, zodat elke (aspirant)elektronicus zelf met LED’s aan de slag kan gaan. Een greep uit de inhoud Theorie & Toepassingen Aansturing en koeling van LED-lampen De technologie achter LED-projectoren Constante-stroom-omzetters voor power-LED’s LED-stuur- en vermogenselektronica op één chip Zelfbouwprojecten Ambilight met Bluetooth Artistieke LED-dimmer Microcontrollergestuurde LED-kerstboom Vrij programmeerbare LED-lamp

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