Zoekresultaten voor "home OR automation OR projects OR with OR arduino"

Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! Für Augen und Ohren Videoausgabe mit MikrocontrollernTeil 1: Composite Video electronica 2022Neues von der Weltleitmesse ESP32-KameraSo einfach, dass sie nicht einmal WLAN braucht ATX-Netzteil für Raspberry Pi 32-?-KopfhörerverstärkerEinfache, aber hochqualitative 3-Chip-Lösung SDR-FunkuhrenFünf Zeitzeichen, sechs Anzeigen Aller Anfang ...muss nicht schwer sein: Spezielle Dioden Aus dem Leben gegriffenÜber die Qualität der Dinge Reverse-Engineering eines LED-Displays mit Bluetooth Low EnergyWie man ein BLE-Gerät mit einem Python-Skript steuert MakePython ESP32 Development KitAlles in einer Box THD-Messung mit Oszilloskop und FFTDen Klirrfaktor einfach berechnen Allsehende MaschinenDie Technologie hinter modernen industriellen Bildverarbeitungssystemen Infografik Die Entwicklung der Sprach- und Audiosteuerung für elektronische Geräte WEEF 2022 im Rückblick Im Rückblick: FFWD electronica 2022Innovatoren beeindrucken weiterhin! The TubeEin Röhrenverstärker der anderen Art Biomaterialien in der Elektronik: Bereit oder nicht? Opera-Cake-Antennenumschalter für HackRF OneSchließen Sie bis zu acht Antennen an Ihr SDR an Technik mit Arduino und mehrEin Interview mit Autor Ashwin Pajankar LiDAR-PräzisionsmetermaßMisst bis zu zwölf Meter Audio mit dem ESP32Das Framework ESP-ADF in der Praxis Elektor-Leistungsverstärker-Bausatz Fortissimo-100 Licht für Klangeffekte nutzenLDR-basiertes spannungsgesteuertes 24 dB/Okt.-Synthesizer-Filter Hochleistungsverstärker GigantDer Lauteste von allen!! Betreten für Unbefugte verboten!Ein volumetrisches Display Made in Canada Projekt 2.0Korrekturen, Updates und Leserbriefe Hexadoku

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De FNIRSI GC-03 is een multifunctionele stralingsdetector, ontworpen voor professionele metingen van nucleaire straling in alledaagse omgevingen zoals thuis, op kantoor, in de auto en buitenshuis. Het apparaat is voorzien van een 2,4-inch high-definition kleurendisplay en maakt real-time monitoring mogelijk van zowel nucleaire straling als de sterkte van elektrische en magnetische velden. Voor extra veiligheid beschikt het toestel over drie alarmmodi: een geluidssignaal, trillingen en een visuele lichtwaarschuwing. Kenmerken 3-in-1 detectie: Meet elektrische, magnetische en nucleaire straling met één enkel apparaat. Uiterst nauwkeurige GM-buis: Detecteert nauwkeurig gamma-, röntgen- en harde bètastraling bij een laag energieverbruik. Realtime grafiek + 50 alarmmeldingen: Volgt stralingstrends en slaat de alarmgeschiedenis op voor eenvoudige controle. Aanpasbare drievoudige alarmen: Ondersteunt visuele, akoestische en trilwaarschuwingen met instelbare drempelwaarden. Lange batterijduur: 1500 mAh-accu voor langdurig en betrouwbaar gebruik in het veld. Specificaties Kernstraling Bereik: 0,01 μSv/u - 999,99 μSv/u Nauwkeurigheid: 0,01 μSv/u Elektrisch veld Bereik: 1 V/m - 1999 V/m Nauwkeurigheid: 1 V/m Magnetisch veld Bereik: 0,01 μT - 99,99 μT Nauwkeurigheid: 0,01 μT Stralingsvermogen 0,2 - 1000 mW/m² Type gedetecteerde straling Ioniserende straling (gammastraling, enz.) Detector GM-buis met energiecompensatie (Geigertellerbuis) Dosisdebiet 0,00 - 10000 μSv/u (10 mSv/u) Cumulatief dosis-equivalent 0,00 μSv - 500,0 mSv Energiebereik 48 keV - 1,5 MeV ≤ ±30% (voor 137Cs) Gevoeligheid 80 CPM/μSv Dosis-eenheid μSv/u, μGy/u, mR/u, CPS, CPM Alarmmodus Licht, trilling, geluid Display 2,4-inch kleurenscherm Achtergrondverlichting Helderheid instelbaar Voeding USB-C (5 V/1 A) Batterij 1500 mAh Talen Engels, Chinees Afmetingen 138 x 63 x 32 mm Gewicht 141 g Inbegrepen 1x FNIRSI GC-03 stralingsdetector 1x USB-kabel 1x Manual Downloads Manual Firmware v1.0.4

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Contents Projects PicoVoiceVoice alienation and sound effects with the Raspberry Pi Pico Navigation with Vibration Feedback POV Display Pulse Width Modulation (PWM) with the Raspberry Pi Pico Wi-Fi with the Raspberry Pi Pico 'Hello World' from the Raspberry Pi Pico and RP2040A look at the Raspberry Pi Foundation’s first microcontroller Simple On-Off Temperature Controller with Raspberry Pi HAT Multitasking with the Raspberry PiShowcase: a traffic lights controller The Raspberry Pi Ruler GadgetFun with a time-of-flight sensor Raspberry Pi Buffer Board (Mk. 1)Never blow up the I/O again FM radio with RDSA top HAT project for the Raspberry Pi LoRa with the Raspberry Pi PicoFun with MicroPython! Tutorials Qt for the Raspberry Pi Raspberry Pi Pico Programmingwith MicroPython and Thonny Raspberry Pi Full StackRPi and RF24 at the heart of a sensor network Raspberry Pi Bash Command Cheat Sheet Community Java on the Raspberry PiAn interview with Frank Delporte Reviews Introducing the New Raspberry Pi Pico W, H, and WH Secure Boot Solution for Raspberry PiRetrofit security at a reasonable price Review: SmartPi – Smart Meter Extension for Raspberry Pi Review: The Enviro+ Raspberry Pi HATMeasuring environmental data with Raspberry Pi and the HAT Enviro+ Review: Meet the Raspberry Pi 4All new but still good? Raspberry Pi Gets a Fast 3.5' Touch DisplayMore power at no extra charge Book Launch: Raspberry Pi for Radio Amateurs

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This book is about teaching the Python programming language using the Raspberry Pi 4 computer. The book makes an introduction to Raspberry Pi 4 and then teaches Python with the topics: variables, strings, arrays, matrices, tuples, lists, dictionaries, user functions, flow of control, printing, keyboard input, graphics, GUI, object oriented programming and many more topics. The book is aimed for beginners, students, practising engineers, hobbyists, and for anyone else who may want to learn to program in Python. The book includes many example programs and case studies. All the example programs and case studies have been tested fully by the author and are all working. The example programs aim to teach the various programming concepts of Python. The case studies cover the use of Python in the analysis and design of electronic circuits. Some of the case study topics are: Resistor colour code identification Resistive potential divider circuits Resistive attenuator design Zener diode voltage regulator design RC and RLC transient circuits Circuit frequency response Saving data on external memory stick Mesh and node circuit analysis using matrices Resonance in RLC circuits Transistor Biasing analysis Transistor amplifier design Design of active filters Interfacing hardware with GPIO, I²C and SPI Using Wi-Fi with Python and TCP/IP and UDP programs Using Bluetooth from Python Full program listings of all the programs used in the book are available at the Elektor website of the book. Readers should be able just to copy and use these programs in their Raspberry Pi projects without any modifications.

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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 en GOLD leden kunnen deze uitgave hier downloaden. Nog geen lid? Klik hier om een lidmaatschap af te sluiten. De open-source processorarchitectuur RISC-V16 boards en MCU's die je moet kennen Een FPGA-gebaseerde audiospeler met equalizer (1)Digitaal audio mixen met een Arduino MKR Vidor 4000 Laserkop voor pico-gebaseerde zandklokTekenen met licht Doe mee aan de STM32 Edge AI Contest Een multi-sensor plantenmonitor-systeemdraadloze meting van watertoevoer en lichtomstandigheden Maixduino AI-gestuurde automatische portiergezichtsdetectie met een camera Embedded Electronics 2024AI gaat de industrie opnieuw vormgeven Lading-gebaseerde in-Memory computing bij EnCharge AI AI-Inferentie met 10 Keer Lager Energieverbruik en 20 Keer Lagere Kosten Click board ondersteunt het ontwikkelen en trainen van ML-modellen voor trillingsanalyse De Elektor Mini-WheelieEen kit voor een zelfbalancerende robot MCU, ik zie jeMCUViewer: open-source multiplatform debugging-tool USB 2.0-isolatorelektrisch geïsoleerde USB-aansluiting Voorkomen is betervoorspellend onderhoud in de praktijk SPoE – Elektromagnetische compatibiliteitSingle pair met Power-over-Ethernet door de ogen van EMC Retro techEen nieuwe wereld met kleurentelevisie ECG-monitorimplementatie met Hexabitz-modules en een STM32CubeMonitor De strijd om AI aan de edge Met HaLow Wi-Fi is een record afstand bereikt van 16 km op 900 MHz Eerste CHERI RISC-V Embedded Chip en Early Access programma Derde generatie bosbranddetectie maakt gebruik van satellietverbindingen Uit het leven gegrepenkeuzestress Alle begin......filtert verder en regelt tonen Quasi-analoog uurwerkwedergeboorte van een Elektor-klassieker Een modulaire sensortesterSensor-evaluatieboard met ESP32-S3 2025: Een AI-OdysseeDe opkomst van foundation modellen en hun rol in het democratiseren van AI Raspberry Pi standalone MIDI-synthesizer (1)voorbereiding van een platform voor enkele edge-AI-experimenten Err-lectronicsCorrecties, updates en brieven van lezers Universele AI RISC-V processor doet ze allemaal - CPU, GPU, DSP, FPGA Interview met de CEO: Ventiva's dunne en coole technologie Dual-core programmeren met een Raspberry Pi Picoduik in de wereld van parallel programmeren

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. ESP32 Audio Transceiver Board (Part 2)Wireless Audio Transmission Inductive AM TransmitterUses Pico’s PIO in an Arduino Sketch Navigating Wireless ProtocolsA Technical Guide Satellite Tracking Using LoRaThe TinyGS Network Bringing Space Data to Earth 4G-Compatible SMS Remote ControlRemotely Control Your Equipment High-Speed ProbeHigh-Impedance Inputs for Signals up to 200 MHz From Life’s ExperienceKafka KrakenSDR Performance Tests with the RP2350Is an Upgrade from Raspberry Pi Pico 1 to Pico 2 Worthwhile? Contact-Free E-Field Measurements (2)A Laser Vibrometer for Assessing the Membrane's Vibrations Crystals and OscillatorsImproving Crystal Accuracy Through Capacitor Selection Starting Out in ElectronicsSpecial Audio ICs Getting Started with Coding a DIY Project SPECTRAN® V6 MobileModular, Configurable Real-Time Spectrum Analyzer for Reliable Measurements Across All Frequency Ranges The Future of AI Is Forged in SiliconAn Interview with Anastasiia Nosova Autonomous Sensor Node v2.0 (System Architecture)Solar-Powered Sensing Platform with Integrated GPS, LoRaWAN, and More Precise PositioningBluetooth Channel Sounding Tested Powering the Future of Wireless CommunicationBTRY’s Ultra-Thin Solid-State Batteries Test-Driven Development in Firmware Writing Phone-Controlled Model CarWi-Fi + ESP32 + Smartphone = Remote Control 2025: An AI OdysseyAI Reasoning Models: The Chain-of-Thought Revolution Solar Charge Controller with MPP Tracking (3)Software and Commissioning Raspberry Pi Zero Web Streaming CameraUsing the ZeroTier VPN

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Diese Ausgabe steht allen GOLD- und GREEN-Mitgliedern auf der ElektorMagazine-Website zum Download bereit! Sie sind noch kein Mitglied? Hier klicken! Beschleunigung der IoT-Innovation Ein WLAN-Bilderrahmen mit farbigem E-Ink-Display Tutorial ESP-LaunchpadVon Null auf Flash in wenigen Minuten ESP32 und ChatGPTAuf dem Weg zu einem selbst-programmierenden System Walkie-Talkie mit ESP-NOWNicht ganz WLAN, nicht ganz Bluetooth, aber... Von der Idee zur Schaltung mit dem ESP32-S3Ein Leitfaden für die Prototypentwicklung mit Espressif-Chips AIoT-Chip-InnovationEin Interview mit Espressif-CEO Teo Swee-Ann ESP32 mit Wokwi simulierenDer virtuelle Zwilling Ihres Projekts Ausprobiert: die ESP32-S3-BOX-3Eine umfassende AIoT-Entwicklungsplattform Mein Elektronik-ArbeitsplatzEinblicke und Tipps von Espressif-Ingenieuren Die ESP-RainMaker-StoryWie wir „Ihre“ IoT-Cloud entwickelten Zusammenbau des Elektor-Kits Cloc 2.0Ein Elektor-Produkt, ausprobiert von Espressif Ausgepackt: der ESP32-P4Die nächste Ära der Mikrocontroller Rust + EmbeddedEin Power-Duo für die Entwicklung Wer sind die Rust-begeisterten Embedded-Entwickler?Wie Espressif Embedded Rust für den ESP32 kultiviert Zeitleiste der SoC-Reihe von Espressif Aufbau einer SPS mit Espressif-LösungenMit den Fähigkeiten und Funktionen des ISOBUS-Protokolls Das ESP32-S3-VGA-BoardBitlunis aufregende Reise in die Produktentwicklung Akustischer Fingerabdruck mit ESP32Songerkennung mit dem Open-Source-Projekt Olaf Zirkularer Weihnachtsbaum 2023Weihnachtszeit, eine High-Tech-Annäherung Für ein einfacheres und komfortableres LebenEin Amateurprojekt basierend auf dem ESP8266-Modul von Espressif Wie man IoT-Apps ohne Software-Expertise erstelltMit der Blynk IoT-Plattform und Espressif-Hardware Erstellung einer intelligenten Benutzeroberfläche auf ESP32 Schnelle und einfache IoT-Entwicklung mit M5Stack Prototyping eines Energiezählers mit ESP32 Ein Distributor für IoT und mehr – mit Mehrwert Tiefe Einblicke: Ein Interview mit Arduino über den Nano ESP32Alessandro Ranellucci und Martino Facchin diskutieren über die Zusammenarbeit mit Expressif IoT-Chip-InnovationenEinblicke von und in Espressif Rationelle MCU-Programmierung dank ESP Privilege Separation Ein Open-Source-Spracherkennungsserver...und die ESP-BOX Das mitdenkende AugeGesichtserkennung und mehr mit ESP32-S3-EYE Knopfzellen-Sender mit ESP32-C2Entwurf und Leistungsbewertung Matter – ein Meilenstein für das Smart HomeSo schalten Sie das IoT-Potenzial von Smart Home frei Tech the Future: Wohin steuert Smart Home IoT?

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The Siglent SPD4121X is a 4-channel DC Linear Programmable Power Supply equipped with a 4.3-inch TFT-LCD display, friendly human-machine interface, and excellent performance indicators. Real-time waveform display provides engineers with an informative user interface. SPD4121X offers a total output power of 285 W with a resolution of 1 mV/1 mA. The maximum voltage and current for each channel are as follows: CH1: 15 V/1.5 A CH2: 12 V/10 A CH3: 12 V/10 A CH4: 15 V/1.5 A Kenmerken Rated output power: 285 W Rated voltage: 32 V, 12 V, 30 V Up to four high-precision power supplies with independent controllable outputs, supporting CH2 and CH3 series and parallel connections Clear graphical interface with waveform and timer display modes 5-digit voltage and current display with minimum resolution of 1 mV, 1 mA Fast output response time: <50us The high current channel support remote voltage compensation sense function. The maximum compensation voltage is 0.6 V Overvoltage protection and overcurrent protection or safe and accurate operation Equipped with a 4.3-inch TFT-LCD display (480 x 272 resolution) USB and LAN standard communication USB-GPIB module is optional Excellent channel density with up to 4 channels in a 3U half rack package Internal data storage for setups and parameters Embedded Web Server with instrument communication that doesn’t require software installation Fully SCPI programming command set support as well as a LabView driver for remote control and system automation Specificaties SPD4323X SPD4121X SPD4306X Channel Output CH1: Voltage 0 to 6 V Current 0 to 3.2 ACH2: Voltage 0 to 32 V Current 0 to 3.2 ACH3: Voltage 0 to 32 V Current 0 to 3.2 ACH4: Voltage 0 to 6 V Current 0 to 3.2 A CH1: Voltage 0 to 15 V Current 0 to 1.5 ACH2: Voltage 0 to 12 V Current 0 to 10 ACH3: Voltage 0 to 12 V Current 0 to 10 ACH4: Voltage 0 to 15 V Current 0 to 1.5 A CH1: Voltage 0 to 15 V Current 0 to 1.5 ACH2: Voltage 0 to 30 V Current 0 to 6 ACH3: Voltage 0 to 30 V Current 0 to 6 ACH4: Voltage 0 to 15 V Current 0 to 1 A Resolution 1 mV, 1 mA 1 mV, 1 mA 1 mV, 1 mA Setting Accuracy Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Readback Accuracy Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Voltage: ±(0.03% of reading+10) mV, Current: ±(0.3% of reading+10) mA Display 4.3" TFT-LCD 5-digit voltage and current display 4.3" TFT-LCD 5-digit voltage and current display 4.3" TFT-LCD 5-digit voltage and current display Output power 240 W 285 W 400 W Inbegrepen 1x Siglent SPD4121X Power Supply 1x Power cord (EU) 1x Output test cord (3 A) 1x USB cable 1x Quick start guide Downloads Datasheet Manual Quick start

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The ESP8266 from Espressif is a Wi-Fi microchip with full TCP/IP stack and microcontroller capability. It has made waves in the maker community with its low price. But many developers were unhappy with ESP8266's high power consumption. The ESP32, equipped with a ULP (Ultra Low Power) coprocessor, offers a remedy for this. This e-book features a number of projects featuring ESP32 & ESP8266 as well as an interview with the CEO of Espressif Teo Swee Ann. Articles ESP32 for Use in Industry 4.0 Equipment Scrolling Message Display, 512 LEDs controlled over Wi-Fi via an ESP-12F The Connected Greenhouse IoT demonstration project using MQTT and Node-RED VFD-tube Clock with ESP32 with an accurate Internet-derived time ESP32 Low Power DCF77 Emulator with ESP8266 ESP8266 on the Elektor Android I/O Board The Reason Behind the Hugely Popular ESP8266? Wi-Fi Desktop Thermostat Timers for the Wi-Fi Desktop Thermostat PlatformIO, the Universal Programming Tool Weather Display, Visualize current weather data on an LC display GoNotify, a Flexible IoT Sensor Interface ESP32 for Power Users USB Programming Adaptor for ESP8266 Getting started with ESP32 and the Arduino IDE MicroPython, Python for small systems RGBDigit Clock WLAN for Microcontrollers Return of the Wi-Fi Controller Board Compact and Self-contained WLAN

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Le téléchargement intégral de ce numéro est disponible pour nos membres GOLD et GREEN sur le site Elektor Magazine ! Pas encore membre ? Cliquez ici. source de courant pour tester les diodes ZTest des diodes Z de 1 à 54 V sous 1 à 50 mA testeur de bracelet antistatiqueUn testeur de référence à trois états : réussite, limite ou échec testeur de réponse transitoire pour alimentationGénérateur d'échelon de charge répétable pour alimentations de labo séquenceur euclidien sans microcontrôleurMotifs de déclenchement et séquences CV avec une simple logique CMOS lampe clignotante à LED pour portails avec alerte sonore Besoin de circuits imprimés ? Le service PCB d'Elektor est fait pour vous. minuterie pour brosse à dentsAvec un petit PIC verrou combiné magnétique sans contactAvec le capteur de position angulaire AS5600 préampli à faible bruit sur pilePour micros dynamiques Arduino Nano TestLabMesure, contrôle et régulation effet lumineux au rythme des bassesAccentuez le rythme musical filtre coupe-basAucun risque d'effet larsen dans votre système audio générateur précis d’ondes carrées à 1 Hz pour plaque d’essaiA Reliable CMOS-Based Clock Source 555 à l’enversRapports cycliques jusqu’à zéro Du Halfgeleidergids aux Circuit Specials65 ans d'innovation en électronique isolation électriqueInterface CAN avec isolateur numérique et module d’alimentation isolé spongillatorUn oscillateur à éponge True Random Number GeneratorAvec test du khi carré intégré visionneuse 3D pour pages HTMLSimple, et presque sans programmation programmation avec TLScriptUn langage de script pour la mesure, les tests et le contrôle conception de circuits : conseils d'experts rétroactionqu'est-ce que c'est et pourquoi est-ce important ? une carte, des idées infinies : Arduino UNO QDu jeu rétro à la surveillance environnementale en temps réel réparation d'une antenne « donut » Standby KillerUn vrai interrupteur marche/arrêt pour votre téléviseur test d'accusMesurer les capacités de batteries avec l'Arduino Nano alimentation pour ampli audio de puissanceSans bruit secteur cartes de prototypage RFMontages rapides avec des cartes de prototypage pour RF protection contre les surtensions T3Un parafoudre de type 3 pour vos équipements sensibles thermostat d'ambiance IdO Avec le module MCU Xiao basé sur ESP32-C3/S3 du rigide au smartÉlectronique flexible et imprimée : entre vision et réalité industrielle

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Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field. The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied. In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a “talking eye” will also be created. The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information 'I see a car!' is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

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