Elektor Magazine EN May/June 2021 (PDF)

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This expansion board allows you to add an RS485 and a CAN interface to a Raspberry Pi Pico. The board also offers the option of operating it either via a standard USB-C connection with 5 V or via a screw terminal that accepts a voltage of 6 to 12 V. The voltage applied to the screw terminal is reduced to 5 V by a voltage converter integrated on the board. Features Power can be supplied via a USB-C connection with 5 V or via a screw terminal that draws between 6 and 12 V. In the latter case, a built-in voltage converter reduces the voltage to 5 V. To increase the versatility and range of functions, the connection pins of the Raspberry Pi Pico have been routed to the outside. The expansion board also offers the option of communication via the RS485 and CAN interfaces. Specifications CAN Interface SPI, CAN RS485 Interface Serial, RS485 Power supply 5 V DC (USB-C) Screw terminal 6-12 V DC Logic level 3.3 V Terminating resistor CAN 120 Ω (can be activated and deactivated as required) Terminating resistor RS485 120 Ω (can be activated and deactivated as required)

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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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This air monitor is specifically used for monitoring greenhouses. It detects: Air temperature & Humidity CO2 concentration Light intensity Then transmit the data via LoRa P2P to the LoRa receiver (on your desk in the room) so that the user can monitor the field status or have it recorded for long-term analysis. This module monitors the greenhouse field status and sends all sensor data regularly via LoRa P2P in Jason format. This LoRa signal can be received by the Makerfabs LoRa receiver and thus displayed/recorded/analyzed on the PC. The monitoring name/data cycle can be set with a phone, so it can be easily implemented into the file. This air monitor is powered by an internal LiPo battery charged by a solar panel and can be used for at least 1 year with the default setting (cycle 1 hour). Features ESP32S3 module onboard with the WiFi and Bluetooth Ready to use: Power it on directly to use Module name/signal interval settable easily by phone IP68 water-proof Temperature: -40°C~80°C, ±0.3 Humidity: 0~100% moisture CO2: 0~1000 ppm Light intensity: 1-65535 lx Communication distance: Lora: >3 km 1000 mAh battery, charger IC onboard Solar panel 6 W, ensure system works Downloads Manual BH1750 Datasheet SGP30 Datasheet

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Project Update: ESP32-Based Energy MeterNext Steps in Prototyping Optimizing Balcony Power PlantsConsiderations, Interesting Facts, and Calculations ESP32 With OpenDTU for Balcony Power PlantsRead Data from Small Inverters Via MCUs Variable Linear Power Supply Ensemble0…50 V / 0…2 A + Dual Symmetrical Supply Energy Storage Today and TomorrowAn Interview With Simon Engelke 2024: An AI OdysseyIt’s Not Letting Up Bluetooth LE on the STM32A Way to Read Measurements Remotely Human-Centric Smart Kitchen Grocery Container MAUI: Programming for PC, Tablet, and SmartphoneThe New Framework in Theory and Practice ChatMagLevThe AI Way of Levitation Simple PV Power RegulatorBuild Your First, Fully Functional PV Energy Management System Cold-Cathode DevicesPeculiar Parts, the Series From Life’s ExperienceNostalgia Starting Out in Electronics……Looking at FETs CAN Bus Tutorial for the Arduino UNO R4Two UNO R4s Hop on the Bus! Infographics: Power & Energy Comprehensive Design and Development SupportArrow Engineering Services Comparing Power Density and Power Efficiency Aluminium Electrolytic CapacitorsInterference Potential in Audio Technology USB Test and MeasurementThe Fnirsi FNB58 The Pixel Pump Pick-and-Place ToolSimplifying Manual SMT Board Assembly HomeLab ToursNot So Long Ago, in a Far-Away Country... “In the world of ethics in electronics, even small steps can make a significant impact.” Ethics in ElectronicsThe OECD Guidelines and Germany’s Supply Chain Due Diligence Act Chadèche: Smart Ni-MH Charger/DischargerA Reader’s Project in Brief Err-lectronicsCorrections, Updates and Readers’ Letters

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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Ardi32 is the ultimate Arduino Uno alternative packed with powerful specs and exciting features in the Arduino Uno form factor. Ardi32 is powered by the latest ESP32-S3-WROOM-1. The built-in Wi-Fi and Bluetooth connectivity makes the board ideal for IoT projects or projects requiring wireless communication. Features Powered by powerful ESP32-S3-WROOM-1 module with inbuild WiFi and BLE support. Arduino Uno form factor, so you can connect 3.3 V compatible Arduino shields SD card slot for storage and data transfer The facility of USB-C interface for programming and to the power board Boot and Reset buttons are available to operate in various modes. Multifunction GPIO breakout supporting general I/O, UART, I²C, SPI, ADC & PWM functions. Multi-tune Buzzer to add audio alert into the project Multi-platform support like Arduino IDE, Espressif IDF, and MicroPython/CircuitPython Comes with HID support, so the device can simulate a mouse or keyboard Specifications ESP32-S3 series of SoCs having Xtensa dual-core 32-bit LX7 microprocessor 4 GHz Wi-Fi (802.11 b/g/n) and Bluetooth 5 (LE) Flash up to 16 MB, PSRAM up to 8 MB Board supply 5 V and GPIO pins operating voltage 3.3 V 22 multipurpose GPIOs breakout in Arduino style for easy peripheral and shield interfacing I²C, SPI, and UART communications protocol support Cross-platform development and multiple programming language support

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The SparkFun DataLogger IoT (9DoF) is a data logger that comes preprogrammed to automatically log IMU, GPS, and various pressure, humidity, and distance sensors. All without writing a single line of code! The DataLogger automatically detects, configures, and logs Qwiic sensors. It was specifically designed for users who just need to capture a lot of data to a CSV or JSON file and get back to their larger project. Save the data to a microSD card or send it wirelessly to your preferred Internet of Things (IoT) service! Included on every DataLogger IoT is an IMU for built-in logging of a triple-axis accelerometer, gyro, and magnetometer. Whereas the original 9DOF Razor used the old MPU-9250, the DataLogger IoT uses the ISM330DHCX from STMicroelectronics and MMC5983MA from MEMSIC. Simply power up the DataLogger IoT, configure the board to record readings from supported devices, and begin logging! Data can be time-stamped when the time is synced to NTP, GNSS, or RTC. The DataLogger IoT is highly configurable over an easy-to-use serial interface. Simply plug in a USB-C cable and open a serial terminal at 115200 baud. The logging output is automatically streamed to both the terminal and the microSD card. Pressing any key in the terminal window will open the configuration menu. The DataLogger IoT (9DoF) automatically scans, detects, configures, and logs various Qwiic sensors plugged into the board (no soldering, no programming!). Specifications ESP32-WROOM-32E Module Integrated 802.11b/g/n WiFi 2.4 GHz transceiver Configurable via CH340C Operating voltage range 3.3 V to 6.0 V (via VIN) 5 V with USB (via 5 V or USB type C) 3.6 V to 4.2 V with LiPo battery (via BATT or 2-pin JST) Built-in MCP73831 single cell LiPo charger Minimum 500 mA charge rate 3.3 V (via 3V3) MAX17048 LiPo Fuel Gauge Ports 1x USB-C 1x JST style connector for LiPo battery 2x Qwiic enabled I²C 1x microSD socket Support for 4-bit SDIO and microSD cards formatted to FAT32 9-axis IMU Accelerometer & Gyro (ISM330DHCX) Magnetometer (MMC5983MA) LEDs Charge (CHG) Status (STAT) WS2812-2020 Addressable RGB Jumpers IMU interrupt Magnetometer interrupt RGB LED Status LED Charge LED I²C pull-up resistors USB Shield Buttons Reset Boot Dimensions: 1.66 x 2.0' (4.2 x 5.1 cm) Weight: 10.7 g Downloads Schematic Eagle Files Board Dimensions Hookup Guide CH340 Drivers Firmware GitHub Hardware Repo

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The Arduino Micro contains everything needed to support the microcontroller; simply connect it to a computer with a micro USB cable to get started. It has a form factor that enables it to be easily placed on a breadboard. The Micro board is similar to the Arduino Leonardo in that the ATmega32U4 has built-in USB communication, eliminating the need for a secondary processor. This allows the Micro to appear to a connected computer as a mouse and keyboard, in addition to a virtual (CDC) serial / COM port. Specifications Microcontroller ATmega32U4 Operating Voltage 5 V Input Voltage 7 V - 12 V Analog Input Pins 12 PWM Pins 7 DC I/O Pin 20 DC Current per I/O Pin 20 mA DC Current for 3.3 V Pin 50 mA Flash Memory 32 KB of which 4 KB used by the bootloader SRAM 2.5 KB EEPROM 1 KB Clock Speed 16 MHz LED_Builtin 13 Length 45 mm Width 18 mm Weight 13 g

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Specifications Size 23.2 x 12.5 x 22 mm Weight 9 g Gear type Plastic Gear (Nylon & POM) Limit angle 120 Bearing No Ball bearings Horn gear spline 20T (4.8 mm) Horn type Plastic, POM Case Nylon & Fiberglass Connector wire 200 mm Motor Metal brush motor Spalsh water resistance No Included 1x FeeTech FS90 Servo 1x Straight single ended servo horn 1x Straight double ended servo horn 1x Winged straight double ended servo horn 1x Four-pointed star servo horn 1x Round servo horn 1x Servo horn screw 2x FS90 servo mounting screws Downloads User Guide

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Can you use the SparkFun Top pHAT to prototype machine learning on your Raspberry Pi 4, NVIDIA Jetson, Google Coral or another single-board computer? Indubitably! The SparkFun Top pHAT supports machine learning interactions, including voice control with onboard microphones & speaker, graphical display for camera control feedback, and uninhibited access to the RPi camera connector. Additionally, you can use the programmable buttons, joystick, and RGB LED for user-defined I/O, dynamic system interaction, or system status displays. Can you use it as an interface to introduce your project to the SparkFun Qwiic ecosystem? Indeed! In addition to all the previous features, we have also included a Qwiic connector to allow easy integration over I²C. Billions of combinations of Qwiic-enabled boards are available to you to expand upon the capabilities of the SparkFun Top pHAT. With all the I/O interaction on this board and the lack of soldering needed to get up and running, the SparkFun Top pHAT is the fundamental machine learning add-on for Raspberry Pi or any 2x20 GPIO SBC! Features A Raspberry Pi pHAT that focuses on user interaction with an SBC/RPi. Support for machine learning interactions Voice control (microphones, speaker) Graphical display on 2.4' colour TFT Two Programmable buttons for user-defined I/O Programmable Joystick – for dynamic/interaction with the system (GUI menus, robot driving). Programmable RGB LEDs – for system status, display. Does not inhibit access to RPi camera or display connector On/Off switch for RPi. Supports access to the SparkFun Qwiic ecosystem Intended to be at the top of a pHAT stack - no pins for stacking on top of this board. It’s the Top pHAT!

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The Power Delivery Board uses a standalone controller to negotiate with the power adapters and switch to a higher voltage other than just 5V. This uses the same power adapter for different projects rather than relying on multiple power adapters to provide different output; it can deliver the board as part of SparkFun’s Qwiic connect system, so you won’t have to do any soldering to figure out how things are oriented. The SparkFun Power Delivery Board takes advantage of the power delivery standard using a standalone controller from STMicroelectronics, the STUSB4500. The STUSB4500 is a USB power delivery controller that addresses sink devices. It implements a proprietary algorithm to negotiate a power delivery contract with a source (i.e. a power delivery wall wart or power adapter) without the need for an external microcontroller. However, you will need a microcontroller to configure the board. PDO profiles are configured in an integrated non-volatile memory. The controller does all the heavy lifting of power negotiation and provides an easy way to configure over I²C. To configure the board, you will need an I²C bus. The Qwiic system makes it easy to connect the Power Delivery board to a microcontroller. Depending on your application, you can also connect to the I²C bus via the plated through SDA and SCL holes. Features Input and output voltage range of 5-20V Output current up to 5A Three configurable power delivery profiles Auto-run Type-C™ and USB PD sink controller Certified USB Type-C™ rev 1.2 and USB PD rev 2.0 (TID #1000133) Integrated VBUS voltage monitoring Integrated VBUS switch gate drivers (PMOS)

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Maker Line is a line sensor with 5 x IR sensors array that is able to track line from 13 mm to 30 mm width. The sensor calibration is also simplified. There is no need to adjust the potentiometer for each IR sensor. You just have to press the calibrate button for 2 seconds to enter calibration mode. Afterwards you need to sweep the sensors array across the line, press the button again and you are good to go. The calibration data is saved in EEPROM and it will stay intact even if the sensor has been powered off. Thus, calibration only needs to be carried out once unless the sensor height, line color or background color has changed. Maker Line also supports dual outputs: 5 x digital outputs for the state of each sensor independently, which is similar to conventional IR sensor, but you get the benefit of easy calibration, and also one analog output, where its voltage represents the line position. Analog output also offers higher resolution compared to individual digital outputs. This is especially useful when high accuracy is required while building a line following robot with PID control. Features Operating Voltage: DC 3.3 V and 5 V compatible (with reverse polarity protection) Recommended Line Width: 13 mm to 30 mm Selectable line color (light or dark) Sensing Distance (Height): 4 mm to 40 mm (Vcc = 5 V, Black line on white surface) Sensor Refresh Rate: 200 Hz Easy calibration process Dual Output Types: 5 x digital outputs represent each IR sensor state, 1 x analog output represents line position. Support wide range of controllers such as Arduino, Raspberry Pi etc. Documentation Datasheet Tutorial: Building A Low-Cost Line Following Robot

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After power on, YDLIDAR G4 start rotating and scanning the environment around it. The scanning distance is 16 m and the device offers a scanning rate of 9,000 times per second. It makes detailed examinations of its environment and can locate the smallest of objects surrounding it. Featuring a high-precision brushless motor and encoder disc mounted on bearings, it rotates smoothly and has a service life of up to 500,000 hours of operation. The G4 is an inexpensive solution for projects that require obstacle detection, obstacle avoidance, and/or simultaneous localization and mapping (SLAM). All YDLIDAR products are ROS ready. Features 360 degree 2D range scanning Stable performance, high precision 16 m range Strong resistance to environmental light interference Brushless motor drive, stable performance FDA Laser safety standard Class I 360 degree omnidirectional scanning, 5-12 Hz adaptive scanning frequency OptoMagnetic technology Wireless data communication Scanning rate of 9000 Hz Downloads Datasheet User Manual Development Manual SDK Tool ROS

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The Motorino board is an extension-board to control and use up to 16 PWM-controlled 5V-Servo-motors. The included clock generator ensures a very precise PWM signal and a very precise positioning. The board has 2 inputs for voltage from 4.8 V to 6 V which can be used for up to 11 A. With this input, a perfect power supply is always guaranteed and even bigger projects are no problem. The supply runs directly over the Motorino which provides a connection for voltage, ground and control. With the build in capacitor, the voltage is buffered which prevents a sudden voltage-drop at a high load. But there is also the possibility to connect another capacitor. The control and the programing can be done, as usual, with the Arduino. Manuals and code examples allows a quick introduction for beginners. Special features 16 Channels, own clock generator Input 1 Coaxial power connector 5.5 / 2.1 mm, 4.8-6 V / 5 A max Input 2 Screw-terminal, 4.8-6 V / 6 A max Communication 16 x PWM Compatible with Arduino Uno, Mega and may more microcontroller with Arduino compatible pinout Dimensions 69 x 24 x 56 mm Scope of supply Board, Manual, Retail package

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Learn KiCad with Peter Dalmaris The Academy Pro Box "Design PCBs like a Pro" offers a complete, structured training programme in PCB design, combining online learning with practical application. Based on Peter Dalmaris’ KiCad course, the 15-week programme integrates video lessons, printed materials (2 books), and hands-on projects to ensure participants not only understand the theory but also develop the skills to apply it in practice. Unlike standard courses, the Academy Pro Box provides a guided learning path with weekly milestones and physical components to design, test, and produce working PCBs. This approach supports a deeper learning experience and better knowledge retention. The box is ideal for engineers, students, and professionals who want to develop practical PCB design expertise using open-source tools. With the added option to have their final project manufactured, participants complete the programme with real results – ready for use, testing, or further development. Learn by doing Build skills. Design real boards. Generate Gerbers. Place your first order. This isn’t just a course – it’s a complete project journey from idea to product. You’ll walk away with: Working knowledge of KiCad’s tools Confidence designing your own PCBs A fully manufacturable circuit board – made by you What's inside the Box (Course)? Both volumes of "KiCad Like a Pro" (valued at €105) Vol 1: Fundamentals and Projects Vol 2: Advanced Projects and Recipes Coupon code to join the bestselling KiCad 9 online course by Peter Dalmaris on Udemy, featuring 20+ hours of video training. You'll complete three full design projects: Breadboard Power Supply Tiny Solar Power Supply Datalogger with EEPROM and Clock Voucher from Eurocircuits for the production of PCBs (worth €85 excl. VAT) Learning Material (of this Box/Course) 15-Week Learning Program ▶  Click here to open Week 1: Setup, Fundamentals, and First Steps in PCB Design Week 2: Starting Your First PCB Project – Schematic Capture Week 3: PCB Layout – From Netlist to Board Design Week 4: Design Principles, Libraries, and Workflow Week 5: Your First Real-World PCB Project Week 6: Custom Libraries – Symbols, Footprints, and Workflow Week 7: Advanced Tools – Net Classes, Rules, Zones, Routing Week 8: Manufacturing Files, BOMs, and PCB Ordering Week 9: Advanced Finishing Techniques – Graphics, Refinement, and Production Quality Week 10: Tiny Solar Power Supply – From Schematic to Layout Week 11: Tiny Solar Power Supply – PCB Layout and Production Prep Week 12: ESP32 Clone Project – Schematic Design and Layout Prep Week 13: ESP32 Clone – PCB Layout and Manufacturing Prep Week 14: Final Improvements and Advanced Features Week 15: Productivity Tools, Simulation, and Automation KiCad Course with 18 Lessons on Udemy (by Peter Dalmaris) ▶  Click here to open Introduction Getting started with PCB design Getting started with KiCad Project: A hands-on tour of KiCad (Schematic Design) Project: A hands-on tour of KiCad (Layout) Design principles and PCB terms Design workflow and considerations Fundamental KiCad how-to: Symbols and Eeschema Fundamental KiCad how-to: Footprints and Pcbnew Project: Design a simple breadboard power supply PCB Project: Tiny Solar Power Supply Project: MCU datalogger with build-in 512K EEPROM and clock Recipes KiCad 9 new features and improvements Legacy (from previous versions of KiCad) KiCad 7 update (Legacy) (Legacy) Gettings started with KiCad Bonus lecture About the Author Dr. Peter Dalmaris, PhD is an educator, an electrical engineer and Maker. Creator of online video courses on DIY electronics and author of several technical books. As a Chief Tech Explorer since 2013 at Tech Explorations, the company he founded in Sydney, Australia, Peter's mission is to explore technology and help educate the world. What is Elektor Academy Pro? Elektor Academy Pro delivers specialized learning solutions designed for professionals, engineering teams, and technical experts in the electronics and embedded systems industry. It enables individuals and organizations to expand their practical knowledge, enhance their skills, and stay ahead of the curve through high-quality resources and hands-on training tools. From real-world projects and expert-led courses to in-depth technical insights, Elektor empowers engineers to tackle today’s electronics and embedded systems challenges. Our educational offerings include Academy Books, Pro Boxes, Webinars, Conferences, and industry-focused B2B magazines – all created with professional development in mind. Whether you're an engineer, R&D specialist, or technical decision-maker, Elektor Academy Pro bridges the gap between theory and practice, helping you master emerging technologies and drive innovation within your organization.

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Like its predecessors in the 300 series of electronics projects books, 303 Circuits is aimed at the active electronics enthusiast, professional or amateur. Since the series was started in the early 1980s, many thousands of readers have found in these books that new approach, new concept, or new circuit they were looking for. In 303 Circuits you will find new ideas, new concepts and new circuits covering the gamut of electronics. The book is arranged in subject sections to make it easier for you to find the circuit or idea you are looking for.

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This book covers a series of exciting and fun projects for the Arduino, such as a silent alarm, people sensor, light sensor, motor control, internet and wireless control (using a radio link). Contrary to many free projects on the internet all projects in this book have been extensively tested and are guaranteed to work! You can use it as a projects book and build more than 45 projects for your own use. The clear explanations, schematics, and pictures of each project make this a fun activity. The pictures are taken of a working project, so you know for sure that they are correct. You can combine the projects in this book to make your own projects. To facilitate this, clear explanations are provided on how the project works and why it has been designed the way it has That way you will learn a lot about the project and the parts used, knowledge that you can use in your own projects. Apart from that, the book can be used as a reference guide. Using the index, you can easily locate projects that serve as examples for the C++ commands and Arduino functionality. Even after you’ve built all the projects in this book, it will still be a valuable reference guide to keep next to your PC.

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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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The Grove SCD30 is an Arduino-compatible 3-in-1 environmental sensor for precise CO₂, temperature, and humidity measurements. Powered by the Sensirion SCD30 and advanced Non-Dispersive Infrared (NDIR) technology, it delivers high accuracy across a wide measurement range. The sensor also determines humidity and temperature through smart algorithms that model and compensate for external heat sources. Features NDIR CO2 sensor technology: embedded with Sensirion SCD30 Multi-function: Integrates temperature and humidity sensor on the same sensor module High precision and wide measurement accuracy: ±(30 ppm + 3%) between 400 ppm to 10000 ppm Superior stability: Dual-channel detection Easy project operation: Digital interface I²C, Breadboard-friendly, Grove-compatible Best performance-to-price ratio Application Ideas Air Purifier Environmental Monitoring Plant Environmental Monitoring system Arduino weather station

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Raspberry Pi 5 provides two four-lane MIPI connectors, each of which can support either a camera or a display. These connectors use the same 22-way, 0.5 mm-pitch “mini” FPC format as the Compute Module Development Kit, and require adapter cables to connect to the 15-way, 1 mm-pitch “standard” format connectors on current Raspbery Pi camera and display products.These mini-to-standard adapter cables for cameras and displays (note that a camera cable should not be used with a display, and vice versa) are available in 200 mm, 300 mm and 500 mm lengths.

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If you are looking for a simple way to learn soldering, or just want to make a small gadget that you can carry, this set is a great opportunity. Stop me game is an educational kit which teaches you how to solder, and in the end, you get to have your own small game. The LEDs go up and down, and your goal is to press the button as soon as the green LED turns on. With every correct answer, the game gets a bit harder – the time you have to press the button shortens. How many correct answers can you get? It’s based on ATtiny404 microcontroller, programmed in Arduino. At its back, you’ll find CR2032 battery which makes the kit portable. There’s keychain holder as well. Soldering process is easy enough based on the mark on the PCB. Included 1x PCB 1x ATtiny404 microcontroller 7x LEDs 1x Pushbutton 1x Switch 7x Resistors (330 ohm) 1x CR2032 battery holder 1x Battery CR2032 1x Keychain holder

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The Grove Capacitive Fingerprint Scanner/Sensor is based on the KCT203 Semiconductor fingerprint recognition module, including a high-performance MCU, a vertical RF push-type fingerprint sensor, and a touch sensing device. This module features many advantages such as small size, small fingerprint template, low power consumption, high reliability, fast fingerprint recognition, etc. In addition, it is worth mentioning that there is a lovely RGB light around this module to indicate whether the fingerprint recognition is successful. The system is equipped with a high-performance fingerprint algorithm, and the self-learning function is remarkable. After each successful fingerprint recognition, the latest challenge feature values can be integrated into the fingerprint database to continuously improve the fingerprint features, making the experience better. Applications Fingerprint lock devices: door locks, safes, steering wheel locks, padlocks, gun locks, etc. Fingerprint sign-in, access control system Specifications CPU GD32 Fingerprint Template Storage Max. 100 Connector Grove UART Sensor Resolution 508 DPI Sensor Pixel 160x160 False Rejection Rate <1% False Acceptance Rate <0.005% Match Response Time(1:N Mode) <350ms Match Response Time(1:1 Mode) <7ms Sensor Size Φ14.9mm Frame Size Φ 19mm Power Consumption Full speed: ≤40 mA; Sleep: ≤12 uA Operating Voltage 3.3 V / 5 V Operating Temperature -20 ~ 70 ℃ ESD Protection Non-contact 15 KV, contact 8 KV Included 1x KCT203 Semiconductor fingerprint recognition module 1x Sensor cable 1x Grove cable 1x Grove driver board Documentations Grove Capacitive Fingerprint Scanner/Sensor eagle file Grove Capacitive Fingerprint Scanner/Sensor code Wiki

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At the core of this module is ESP32-S2, an Xtensa® 32-bit LX7 CPU that operates at up to 240 MHz. The chip has a low-power co-processor that can be used instead of the CPU to save power while performing tasks that do not require much computing power, such as monitoring of peripherals. ESP32-S2 integrates a rich set of peripherals, ranging from SPI, I²S, UART, I²C, LED PWM, TWAITM, LCD, Camera interface, ADC, DAC, touch sensor, temperature sensor, as well as up to 43 GPIOs. It also includes a full-speed USB On-The-Go (OTG) interface to enable USB communication.FeaturesMCU ESP32-S2 embedded, Xtensa® single-core 32-bit LX7 microprocessor, up to 240 MHz 128 KB ROM 320 KB SRAM 16 KB SRAM in RTC Wi­Fi 802.11 b/g/n Bit rate: 802.11n up to 150 Mbps A-MPDU and A-MSDU aggregation 0.4 µs guard interval support Center frequency range of operating channel: 2412 ~ 2484 MHz Hardware Interfaces: GPIO, SPI, LCD, UART, I²C, I²S, Camera interface, IR, pulse counter, LED PWM, TWAI (compatible with ISO 11898-1), USB OTG 1.1, ADC, DAC, touch sensor, temperature sensor 40 MHz crystal oscillator 4 MB SPI flash Operating voltage/Power supply: 3.0 ~ 3.6 V Operating temperature range: –40 ~ 85 °C Dimensions: 18 × 31 × 3.3 mm Applications Generic Low-power IoT Sensor Hub Generic Low-power IoT Data Loggers Cameras for Video Streaming Over-the-top (OTT) Devices USB Devices Speech Recognition Image Recognition Mesh Network Home Automation Smart Home Control Panel Smart Building Industrial Automation Smart Agriculture Audio Applications Health Care Applications Wi-Fi-enabled Toys Wearable Electronics Retail & Catering Applications Smart POS Machines

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