Search results for "sparkfun"

The Arduino Pro Mini is a microcontroller board based on the ATmega328P. It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, an on-board resonator, a reset button, and holes for mounting pin headers. A six pin header can be connected to an FTDI cable or SparkFun breakout board to provide USB power and communication to the board. The Arduino Pro Mini is intended for semi-permanent installation in objects or exhibitions. The board comes without pre-mounted headers, allowing the use of various types of connectors or direct soldering of wires. The pin layout is compatible with the Arduino Mini. The Arduino Pro Mini was designed and is manufactured by SparkFun Electronics. Specifications Microcontroller ATmega328P Board Power Supply 5-12 V Circuit Operating Voltage 5 V Digital I/O Pins 14 PWM Pins 6 UART 1 SPI 1 I²C 1 Analog Input Pins 6 External Interrupts 2 DC Current per I/O Pin 40 mA Flash Memory 32 KB of which 2 KB used by bootloader SRAM 2 KB EEPROM 1 KB Clock Speed 16 MHz Dimensions 18 x 33.3 mm (0.7 x 1.3") Downloads Eagle files Schematics

Read (+) (–)

What's with the silkscreen labels? They're all over the place. We decided to label the pins as they are assigned on the Apollo3 IC itself. This makes finding the pin with the function you desire a lot easier. Have a look at the full pin map from the Apollo3 datasheet. If you really need to test out the 4-bit SPI functionality of the Artemis, you're going to need to access pins 4, 22, 23, and 26. Need to try out the differential ADC port 1? Pins 14 and 15. The RedBoard Artemis ATP will allow you to flex the impressive capabilities of the Artemis module. The RedBoard Artemis ATP has the improved power conditioning and USB to serial that we've refined over the years on our RedBoard line of products. A modern USB-C connector makes programming easy. A Qwiic connector makes I²C easy. The ATP is fully compatible with SparkFun's Arduino core and can be programmed easily under the Arduino IDE. We've exposed the JTAG connector for more advanced users who prefer to use the power and speed of professional tools. If you need a lot of a GPIO with a simple program, ready to go to the market module, the ATP is the fix you need. We've added a digital MEMS microphone for folks wanting to experiment with always-on voice commands with TensorFlow and machine learning. We've even added a convenient jumper to measure current consumption for low power testing. With 1 MB flash and 384k RAM, you'll have plenty of room for your sketches. The Artemis module runs at 48 MHz with a 96 MHz turbo mode available and with Bluetooth to boot! Features Arduino Mega Footprint 1M Flash / 384k RAM 48MHz / 96MHz turbo available 6uA/MHz (operates less than 5mW at full operation) 48 GPIO - all interrupt capable 31 PWM channels Built-in BLE radio 10 ADC channels with 14-bit precision with up to 2.67 million samples per second effective continuous, multi-slot sampling rate 2 channel differential ADC 2 UARTs 6 I²C buses 6 SPI buses 2/4/8-bit SPI bus PDM interface I²S Interface Secure 'Smart Card' interface Qwiic Connector

Read (+) (–)

Plug a reader into the headers, use a Qwiic cable, scan your 125kHz ID tag, and the unique 32-bit ID will be shown on the screen. The unit comes with a read LED and buzzer, but don't worry, there is a jumper you can cut to disable the buzzer if you want. Utilizing SparkFun's handy Qwiic system, no soldering is required to connect it to the rest of your system. However, we still have broken out 0.1"-spaced pins if you prefer to use a breadboard. Utilizing the onboard ATtiny84A, the Qwiic RFID takes the six byte ID tag of your 125kHz RFID card, attaches a timestamp to it, and puts it onto a stack that holds up to 20 unique RFID scans at a time. This information is easy to get at with some simple I²C commands.

Read (+) (–)

This carrier board combines a 2.4" TFT display, six addressable LEDs, onboard voltage regulator, a 6-pin IO connector, and microSD slot with the M.2 pin connector slot so that it can be used with compatible processor boards in our MicroMod ecosystem. We've also populated this carrier board with Atmel's ATtiny84 with 8kb of programmable flash. This little guy is pre-programmed to communicate with the processor over I²C to read button presses. Features M.2 MicroMod Connector 240 x 320 pixel, 2.4" TFT display 6 Addressable APA102 LEDs Magnetic Buzzer USB-C Connector 3.3 V 1 A Voltage Regulator Qwiic Connector Boot/Reset Buttons RTC Backup Battery & Charge Circuit microSD Phillips #0 M2.5 x 3 mm screw included

Read (+) (–)

Reinforcing its commitment to widening the accessibility to and innovation in the area of deep learning, NVIDIA has created a free, self-paced, online Deep Learning Institute (DLI) course, “Getting Started on AI with Jetson Nano.” The course's goal is to build foundational skills to enable anyone to get creative with the Jetson Developer Kit. Please be aware that this kit is for those who already own a Jetson Nano Developer Kit and want to join the DLI Course. A Jetson Nano is not included in this kit. Included in this kit is everything you will need to get started in the “Getting Started on AI with Jetson Nano” (except for a Jetson Nano, of course), and you will learn how to Set up your Jetson Nano and camera Collect image data for classification models Annotate image data for regression models Train a neural network on your data to create your own models Run inference on the Jetson Nano with the models you create The NVIDIA Deep Learning Institute offers hands-on training in AI and accelerated computing to solve real-world problems. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud and earn a competency certificate to support professional growth. They offer self-paced, online training for individuals, instructor-led workshops for teams, and downloadable course materials for university educators. Included 32 GB microSD Card Logitech C270 Webcam Power Supply 5 V, 4 A USB Cable - microB (Reversible) 2-Pin Jumper Please note: Jetson Nano Developer Kit not included.

Read (+) (–)

Onboard each moto:bit are multiple I/O pins, as well as a vertical Qwiic connector, capable of hooking up servos, sensors and other circuits. At the flip of the switch, you can get your micro:bit moving! The moto:bit connects to the micro:bit via an updated SMD, edge connector at the top of the board, making setup easy. This creates a handy way to swap out micro:bits for programming while still providing reliable connections to all of the different pins on the micro:bit. We have also included a basic barrel jack on the moto:bit that is capable of providing power to anything you connect to the carrier board. Features More reliable Edge connector for easy use with the micro:bit Full H-Bridge for control of two motors Control servo motors Vertical Qwiic Connector I²C port for extending functionality Power and battery management onboard for the micro:bit

Read (+) (–)

The flexibility of the Artemis module starts with SparkFun's Arduino core. You can program and use the Artemis module just like you would an Uno or any other Arduino. The time to first blink is just 5 minutes away! We built the core from the ground up, making it fast and as lightweight as possible. Next is the module itself. Measuring 10 x 15 mm, the Artemis module has all the support circuitry you need to use the fantastic Ambiq Apollo3 processor in your next project. We're proud to say the SparkFun Artemis module is the first open-source hardware module with the design files freely and easily available. We've carefully designed the module so that implementing Artemis into your design can be done with low-cost 2-layer PCBs and 8mil trace/space. Made in the USA at SparkFun's Boulder production line, the Artemis module is designed for consumer-grade products. This truly differentiates the Artemis from its Arduino brethren. Ready to scale your product? The Artemis will grow with you beyond the Uno footprint and Arduino IDE. Additionally, the Artemis has an advanced HAL (hardware abstraction layer), allowing users to push the modern Cortex-M4F architecture to its limit. The SparkFun Artemis Module is fully FCC/IC/CE certified and is available in full tape and reel quantities. With 1M flash and 384k RAM, you'll have plenty of room for your code. The Artemis module runs at 48MHz with a 96MHz turbo mode available and with Bluetooth to boot!

Read (+) (–)

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

Read (+) (–)

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?

Read (+) (–)