Zoekresultaten voor "sparkfun OR jetbot OR ai OR kit OR v2 OR 1 OR incl OR nvidia OR jetson OR nano OR developer OR kit"

Features ATmega328 microcontroller met Optiboot Bootloader R3 Shield Compatible CH340C serieel-USB-converter 3.3 V tot 5 V Spanningsniveau Jumper A4 / A5 jumpers AP2112 spanningsregelaar ISP-kopje Ingangsspanning: 7 V - 15 V 1 Qwiic aansluiting 16 MHz kloksnelheid 32 k Flash-geheugen Alle SMD constructie verbeterde resetknop

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De Arduino Pro Mini is een microcontroller board gebaseerd op de ATmega328P. Het heeft 14 digitale in-/uitgangspinnen (waarvan er 6 kunnen worden gebruikt als PWM-uitgangen), 6 analoge ingangen, een on-board resonator, een reset-knop, en gaten voor het monteren van pin headers. Een six-pin header kan worden aangesloten op een FTDI-kabel of Sparkfun breakout board om USB-voeding en communicatie te bieden aan de board. De Arduino Pro Mini is bedoeld voor semi-permanente installatie in voorwerpen of tentoonstellingen. Het board komt zonder pre-gemonteerde headers, waardoor het gebruik van diverse types van schakelaars of het directe solderen van draden is toegestaan. De pin lay-out is compatibel met Arduino Mini. Specificaties Microcontroller ATmega328P Boord Stroomvoorziening 5-12 V Circuit Werkspanning 5 V Digitale I/O Pinnen 14 PWM Pennen 6 UART 1 SPI 1 I²C 1 Analoge ingangspinnen 6 Externe Onderbrekingen 2 DC stroom per I/O Pin 40 mA Flash Geheugen 32 KB waarvan 2 KB gebruikt door bootloader SRAM 2 KB EEPROM 1 KB Kloksnelheid 16 MHz Afmetingen 18 x 33,3 mm Downloads Eagle files Schematics

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The X500 V2 ARF Kit is an affordable, lightweight, and robust carbon fiber professional drone kit that is easy to assemble (less than 15 minutes). It comes with the X500 V2 Frame Kit and motors, ESCs, power distribution boards and propellers preinstalled. It is perfectly compatible with various flight controllers such as the Holybro Pixhawk series, Durandal, Pix32 V5, etc. There are numerous improvements compared the previous model. Specifications Wheelbase: 500 mm Motor mount pattern: 16x16 mm Frame body: 144x144 mm, 2 mm thick Landing gear height: 215 mm Space between top and bottom plates: 28 mm Weight: 610 g Flight time: ~18 minutes hover with no additional payload. Tested with 5000 mAh battery. Payload: 1500 g (without battery, 70% throttle) Battery recommendation: 4S 3000-5000 mAh 20C+ with XT60 Lipo battery (not Included) Included X500 V2 Frame Kit With Preinstalled Items: 4x Motors: Holybro 2216 KV920 Motor (4 pcs) with XT30 Plug 4x ESCs (BLHeli S ESC 20A) 6x 1045 Propellers Power Distribution Board – XT60 plug for battery & XT30 plug for ESCs & peripherals Note: Depth camera mount is sold separately.

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Leer hoe je de ESP32 Microcontroller en het programmeren met MicroPython in je toekomstige projecten kunt gebruiken! Het (Engelstalige) projectboek, geschreven door de bekende Elektor auteur Dogan Ibrahim, bevat vele software- en hardware-gebaseerde projecten die speciaal voor de MakePython ESP32 ontwikkelkit ontwikkeld zijn. De kit wordt geleverd met verschillende LED's, sensoren, en actuatoren. De kit helpt je de basiskennis op te doen om eigen IoT projecten te maken. Alle volledig geëvalueerde projecten in het boek zijn voorzien van de bijgeleverde componenten. Elk project bevat een blokschema, een schakelschema, een volledige programmalijst, en een volledige programma beschrijving. Inbegrepen in de kit 1x MakePython ESP32 ontwikkelingsboard met LCD 1x Ultrasone afstandsmeter 1x Temperatuur- en luchtvochtigheidssensor 1x Zoemer module 1x DS18B20 module 1x Infrarood module 1x Potentiometer 1x WS2812 module 1x Geluidssensor 1x Trilsensor 1x Module met lichtgevoelige weerstand 1x Puls sensor 1x Servo motor 1x USB kabel 2x Knop 2x Breadboard 45x Schakeldraad 10x Weerstand 330R 10x LED (Rood) 10x LED (Groen) 1x Projectboek (Engelstalig, 206 pagina's) Boek met 46 projecten LED Projecten Knipperende LED SOS knipperende LED Knipperende LED – met behulp van een timer Afwisselend knipperende LEDs Knopbediening De knippersnelheid van de LED's veranderen met drukknop onderbrekingen Chasing-LEDs Binaire teller met LEDs Kerstverlichting (willekeurig-knipperende 8 LEDs) Elektronische dobbelsteen Geluksdag van het week Projecten voor Pulsewidth Modulation (PWM) Genereer een PWM golfvorm van 1000 Hz met 50% duty cycle LED helderheid regelen Meten van de frequentie en duty cycle van een PWM golfvorm Melodieën maker Eenvoudig elektronisch orgel Servo motor besturing Servo motor DS18B20 thermometer Projecten voor analoog naar digitaal converteren (ADC) Voltmeter Plotten van de analoge ingangsspanning Interne temperatuursensor van de ESP32 Ohmmeter Lichtgevoelige weerstandsmodule Projecten voor digitaal naar analoog converteren (DAC) Opwekken van vaste spanningen Opwekken van een zaagtand-golf signaal Opwekken van een driehoek-golf signaal Golfvorm met willekeurige periode Genereren van een sinus-golf signaal Genereren van een nauwkeurig sinus-golf signaal met behulp van een timer interrupts Gebruik van het OLED Display Seconden teller Gebeurtenisteller DS18B20 digitale thermometer met OLED ON-OFF temperatuur regelaar Meten van temperatuur en luchtvochtigheid Ultrasone afstandsmeting Hoogte van een persoon (stadiometer) Hartslag (polsslag) meten Andere bij de set geleverde sensoren Diefstal alarm Met geluid geactiveerd licht Infrarood obstakel-vermijding met zoemer WS2812 RGB LED ring Tijdregistratie van temperatuur en luchtvochtigheid Netwerkprogrammering Wi-Fi scanner Bediening op afstand vanuit de Internet browser (met een smartphone of PC) – Webserver Temperatuur- en luchtvochtigheidsgegevens opslaan in de Cloud Werking met Low-Power Gebruik een timer om de processor te laten ontwaken

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A Beginner's Guide to AI and Edge Computing Artificial Intelligence (AI) is now part of our daily lives. With companies developing low-cost AI-powered hardware into their products, it is now becoming a reality to purchase AI accelerator hardware at comparatively very low costs. One such hardware accelerator is the Hailo module which is fully compatible with the Raspberry Pi 5. The Raspberry Pi AI Kit is a cleverly designed hardware as it bundles an M.2-based Hailo-8L accelerator with the Raspberry Pi M.2 HAT+ to offer high speed inferencing on the Raspberry Pi 5. Using the Raspberry Pi AI Kit, you can build complex AI-based vision applications, running in real-time, such as object detection, pose estimation, instance segmentation, home automation, security, robotics, and many more neural network-based applications. This book is an introduction to the Raspberry Pi AI Kit, and it is aimed to provide some help to readers who are new to the kit and wanting to run some simple AI-based visual models on their Raspberry Pi 5 computers. The book is not meant to cover the detailed process of model creation and compilation, which is done on an Ubuntu computer with massive disk space and 32 GB memory. Examples of pre-trained and custom object detection are given in the book. Two fully tested and working projects are given in the book. The first project explains how a person can be detected and how an LED can be activated after the detection, and how the detection can be acknowledged by pressing an external button. The second project illustrates how a person can be detected, and how this information can be passed to a smart phone over a Wi-Fi link, as well as how the detection can be acknowledged by sending a message from the smartphone to your Raspberry Pi 5.

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A Practical Guide to AI, Python, and Hardware Projects Welcome to your BeagleY-AI journey! This compact, powerful, and affordable single-board computer is perfect for developers and hobbyists. With its dedicated 4 TOPS AI co-processor and a 1.4 GHz Quad-core Cortex-A53 CPU, the BeagleY-AI is equipped to handle both AI applications and real-time I/O tasks. Powered by the Texas Instruments AM67A processor, it offers DSPs, a 3D graphics unit, and video accelerators. Inside this handbook, you‘ll find over 50 hands-on projects that cover a wide range of topics—from basic circuits with LEDs and sensors to an AI-driven project. Each project is written in Python 3 and includes detailed explanations and full program listings to guide you. Whether you‘re a beginner or more advanced, you can follow these projects as they are or modify them to fit your own creative ideas. Here’s a glimpse of some exciting projects included in this handbook: Morse Code Exerciser with LED or BuzzerType a message and watch it come to life as an LED or buzzer translates your text into Morse code. Ultrasonic Distance MeasurementUse an ultrasonic sensor to measure distances and display the result in real time. Environmental Data Display & VisualizationCollect temperature, pressure, and humidity readings from the BME280 sensor, and display or plot them on a graphical interface. SPI – Voltmeter with ADCLearn how to measure voltage using an external ADC and display the results on your BeagleY-AI. GPS Coordinates DisplayTrack your location with a GPS module and view geographic coordinates on your screen. BeagleY-AI and Raspberry Pi 4 CommunicationDiscover how to make your BeagleY-AI and Raspberry Pi communicate over a serial link and exchange data. AI-Driven Object Detection with TensorFlow LiteSet up and run an object detection model using TensorFlow Lite on the BeagleY-AI platform, with complete hardware and software details provided.

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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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The SQ series of handsfree PCBite probes from Sensepeek are insulated, come with included color-coded cable holders and have a lower point of gravity making them even more stable compared with the original SP series of probes. All the loved features of handsfree measurement, exchangeable fine pitch spring tipped test needle and the minimalistic design is maintained to make traditional sized and handheld probes obsolete. Features All handsfree probes from Sensepeek makes instant measurements or long triggering sessions a breeze. No more soldering wires to connect your probe or complicated tools to setup, just positioning the probe needle on any test point or component in the signal path and release. Saves time and frustration during development, verification and repairs. The minimalist design and the spring-loaded test needle makes it possible to simultaneously measure on fine pitch components and nearby signals. Both length and weight of the SQ probes are perfectly balanced to be used with the included PCB holders and base plate which is a must for handsfree function. The probe holder comes with a powerful magnet in the base, as for all PCBite probes and holders which makes the probe easy to place and reposition. The SQ series of probes can be used handheld without the probe holder as they have an insulated grip but their full potential is used when measuring handsfree. One side of the included baseplate is matte and the other is mirror polished. The mirror polished surface makes it easy to see components on the circuit board underside. For added protection during measurement the included insulation cover can be mounted on one of the surfaces. Included 4x PCBite PCB holders 1x Set of yellow insulation washers for the PCB holders 1x Large Base plate (A4) 1x Insulation cover for the base plate (A4) 1x Micro fiber cloth 4x SQ10 probes and pin tipped test needles (black) 2x Banana to dupont test wires (red/black) 5x Dupont to dupont test wires 1x Set of cable holders (4 colors) 4x Extra test needles Downloads User guide (PCBite kit) User guide (SQ10 probes)

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Het Elektor Arduino Nano MCCAB Training Board bevat alle componenten (incl. Arduino Nano) die nodig zijn voor de oefeningen, zoals LED’s, schakelaars, drukknoppen, buzzer enz. Ook externe sensoren, motoren of modules kunnen worden gecheckt of bestuurd met dit microcontroller-trainingssysteem. Specificaties (Arduino Nano Training Board MCCAB) Voeding Via de USB-aansluiting van de aangesloten pc of een externe voeding (niet inbegrepen) Spanning +5 Vcc Ingangsspanning Alle ingangen 0 V tot +5 V VX1 en VX2 +8 V tot +12 V (alleen bij gebruik van een externe voeding) Hardware LCD 2x16 karakters Potentiometer P1 & P2 JP3: Selectie van de werkspanning van P1 & P2 Verdelers SV4: Verdeler voor de werkspanningenSV5, SV6: Verdelers voor de in-/uitgangen van de microcontroller Schakelaars en knoppen RESET knop op de Arduino Nano module; 6x drukknop schakelaars K1 ... K6; 6x Schuifschakelaars S1 ... S6; JP2: Jumper van de schakelaars met de ingangen van de microcontroller Buzzer Piezo buzzer ‘Buzzer1’ met jumper op JP6 Indicator LED’s 11 x LED: Status indicator voor de ingangen/uitgangen LED L op de Arduino Nano module, aangesloten op GPIO D13 JP6; Aansluiting van LED's LD10 ... LD20 met GPIO's D2 ... D12 Seriële interfacesSPI & I²C JP4: Selectie van het signaal op pin X van de SPI-connector SV12 SV9 naar SV12: SPI-interface (3,3 V/5 V) of I²C-interface Uitgangen voor externe apparaten SV1, SV7: Geschakelde uitgang (maximaal +24 V/160 mA, extern aangesloten) SV2: 2x13 pinnen voor aansluiting van externe modules 3x3 LED matrix(9 rode LED's) SV3: Kolommen van de 3x3 LED matrix (uitgangen D6 ... D8) JP1: Verbinding van de rijen met de GPIO's D3 ... D5 Software MCCABLib library Controle van hardware componenten (schakelaars, knoppen, LED's, 3x3 LED matrix, buzzer) op het MCCAB Training Board Werktemperatuur Tot +40 °C Afmetingen 100 x 100 x 20 mm Specificaties (Arduino Nano) Microcontroller ATmega328P Architectuur AVR Spanning 5 V Flash memory 32 KB, waarvan 2 KB gebruikt door de bootloader SRAM 2 KB Kloksnelheid 16 MHz Analoge IN Pinnen 8 EEPROM 1 KB DC stroom per I/O-pin 40 mA op één I/O-pin, totaal maximaal 200 mA op alle pinnen samen Ingangsspanning 7-12 V Digitale I/O-pinnen 22 (waarvan 6 PWM) PWM Uitgangen 6 Stroomverbruik 19 mA Afmetingen 18 x 45 mm Gewicht 7 g Inbegrepen 1x Elektor Arduino Nano Training Board MCCAB 1x Arduino Nano

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Get Cracking with the Arduino Nano V3, Nano Every, and Nano 33 IoT The seven chapters in this book serve as the first step for novices and microcontroller enthusiasts wishing to make a head start in Arduino programming. The first chapter introduces the Arduino platform, ecosystem, and existing varieties of Arduino Nano boards. It also teaches how to install various tools needed to get started with Arduino Programming. The second chapter kicks off with electronic circuit building and programming around your Arduino. The third chapter explores various buses and analog inputs. In the fourth chapter, you get acquainted with the concept of pulse width modulation (PWM) and working with unipolar stepper motors. In the fifth chapter, you are sure to learn about creating beautiful graphics and basic but useful animation with the aid of an external display. The sixth chapter introduces the readers to the concept of I/O devices such as sensors and the piezo buzzer, exploring their methods of interfacing and programming with the Arduino Nano. The last chapter explores another member of Arduino Nano family, Arduino Nano 33 IoT with its highly interesting capabilities. This chapter employs and deepens many concepts learned from previous chapters to create interesting applications for the vast world of the Internet of Things. The entire book follows a step-by-step approach to explain concepts and the operation of things. Each concept is invariably followed by a to-the-point circuit diagram and code examples. Next come detailed explanations of the syntax and the logic used. By closely following the concepts, you will become comfortable with circuit building, Arduino programming, the workings of the code examples, and the circuit diagrams presented. The book also has plenty of references to external resources wherever needed. An archive file (.zip) comprising the software examples and Fritzing-style circuit diagrams discussed in the book may be downloaded free of charge below.

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This collection features the best of Elektor Magazine's articles on embedded systems and artificial intelligence. From hands-on programming guides to innovative AI experiments, these pieces offer valuable insights and practical knowledge for engineers, developers, and enthusiasts exploring the evolving intersection of hardware design, software innovation, and intelligent technology. Contents Programming PICs from the Ground UpAssembler routine to output a sine wave Object-Oriented ProgrammingA Short Primer Using C++ Programming an FPGA Tracking Down Microcontroller Buffer Overflows with 0xDEADBEEF Too Quick to Code and Too Slow to Test? Understanding the Neurons in Neural NetworksEmbedded Neurons MAUI Programming for PC, Tablet, and SmartphoneThe New Framework in Theory and Practice USB Killer DetectorBetter Safe Than Sorry Understanding the Neurons in Neural NetworksArtificial Neurons A Bare-Metal Programming Guide Part 1: For STM32 and Other Controllers Part 2: Accurate Timing, the UART, and Debugging Part 3: CMSIS Headers, Automatic Testing, and a Web Server Introduction to TinyMLBig Is Not Always Better Microprocessors for Embedded SystemsPeculiar Parts, the Series FPGAs for BeginnersThe Path From MCU to FPGA Programming AI in Electronics DevelopmentAn Update After Only One Year AI in the Electronics LabGoogle Bard and Flux Copilot Put to the Test ESP32 and ChatGPTOn the Way to a Self-Programming System… Audio DSP FX Processor Board Part 1: Features and Design Part 2: Creating Applications Rust + EmbeddedA Development Power Duo A Smart Object CounterImage Recognition Made Easy with Edge Impulse Universal Garden LoggerA Step Towards AI Gardening A VHDL ClockMade with ChatGPT TensorFlow Lite on Small MicrocontrollersA (Very) Beginner’s Point of View Mosquito DetectionUsing Open Datasets and Arduino Nicla Vision Artificial Intelligence Timeline Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Bringing AI to the Edgewith ESP32-P4 The Growing Role of Edge AIA Trend Shaping the Future

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