Components

This kit is based on ESP32 and LoRa. The ESP32 3.5' display is the console for the system, it receives the LoRa message from LoRa moisture sensors (support up to 8 sensors in the default firmware) , and send control commands to LoRa 4-channel MOSFET (2 4-channel MOSFET supported, with totally 8 channels), to control the connected valves open/close, and thus to control the irrigation for multiple points. Features Ready to use: Firmware are pre-programmed for all the modules before shipping, the user can only power them up and set the ID to the console, and start to use. Suitable for none-programmers, in 3 minutes to create filed application. With Lora wireless connection: The monitor & control range can be up to few kilometer, suitable for garden/small farm. Soil moisture sensor with good corrosion resistance, can be used at least half an year with 2 AAA battery. Easy to install: Compares to cheap solution with wires, which is hard to implement in files application, there the connection wires do not needed, the whole installation clean and easy; The valves can be connected Lora MOSFET easily. Hardware & Software Open: To study Lora & FreeRTOS. The ESP32 display console/Lora Soil Moisture Sensor/LoRa MOSFE are all programmed with Arduino. For programmers/engineers, can development further more specialized application. Based on ESP32, with WiFi connection, the console can also access to internet, the create much more applications including the moisture data updating to internet for remote monitor, and remote control with MQTT. Included 1x ESP32 3.5' Display (without camera) 1x Lora Expansion for ESP32 Display 2x Lora Moisture Sensor 1x Lora 4-channel MOSFET 1x 12 V Power Supply Water Pipe (5 m) 1x 1-input & 4-output Pipe Joint Downloads Instructable: Soil Monitoring & Irrigation with LoRa GitHub

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This 14-way MonoDAQ-compatible connector allows the user to create, reuse and archive test fixtures instead of rewiring the connector furnished with the MonoDAQ everytime a measurement or test has to be repeated. Helps the user to build a library of plug-and-play test setups. Features Time saving push-in connection, tools not required Defined contact force ensures that contact remains stable over the long term Intuitive use through colour coded actuation lever Operation and conductor connection from one direction enable integration into front of device All necessary technical data can be found here.

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This ESP32 S3 7-inch IPS 5-point capacitive touch display with an ultra-high resolution of 1024 x 600 pixels is ideal for IoT applications. It is ideal for applications such as home automation. An integrated SD card enables recording/playback of stored data. There are also two Mabee/Grove connectors to connect various sensors to this board to create personal prototype projects in no time. Specifications Controller: ESP32-S3-WROOM-1, PCB antenna, 16 MB Flash, 8 MB PSRAM, ESP32-S3-WROOM-1-N16R8 Wireless: Wifi & Bluetooth 5.0 LCD: 7-inch High Lightness IPS FPS: >30 Resolution: 1024 x 600 LCD interface: RGB 565 Touch panel: Capacitive 5-point touch Touch panel driver: GT911 USB: Dual USB-C (one for USB-to-UART and one for native USB) UART to UART chip: CP2104 Power supply: USB-C 5.0 V (4.0 V~5.25 V) Button: Flash button and reset button Mabee interface: 1x I²C, 1x GPIO MicroSD: Yes Arduino support: Yes Type-C Power Delivery: Not supported Operation temperature: −40 to +85°C Downloads Wiki GitHub ESP32-S3 Datasheet Screen touch coordinates calibration

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CrowVision 11.6-inch touch screen is designed for all-in-one machines. It features a 1366 x 768 high-resolution screen and IPS panel, providing a superior visual experience. The industrial design-style rear-fixed metal structure is compatible with various single-board computers (SBCs), with a reasonable layout and neat wiring, making it easy to power up and use with simple operations. The screen uses HDMI-compatible communication and supports capacitive multi-touch. It has reserved interfaces and buttons for speakers and other accessories, making it adaptable to different usage scenarios. It can be used with a variety of commonly available single-board computers such as Raspberry Pi, Jetson Nano, and is plug-and-play, while also being fully compatible with the operating systems of single-board computers (such as Raspbian, Ubuntu, Windows, Android, Mac OS, and Chrome OS, etc.). This screen can be widely used in automation application control system displays, personal DIY projects, secondary screen/second window displays, single-board computer audio-video display equipment, HDMI communication devices, game console expansion screens, and other scenarios. Features 11.6-inch high-resolution screen with 1366 x 768 resolution, IPS panel, and 178° wide viewing angle provides a better visual experience Unique rear fixing structure with sliding fixing pillars, compatible with most single-board computer models, easy to assemble Wide compatibility, compatible with multiple operating systems (Raspbian, Ubuntu, Windows, Android, Mac OS, and Chrome OS) Supports audio, video, and capacitive touch, plug and play Integrates a variety of peripheral interfaces (such as speakers, headphones, keypads, touchscreens) and onboard OSD adjustment keys The mainboard is equipped with power conversion function of output 5 V/3 A, not need to separately connect an external power supply for the single-board computer. Specifications Display size: 11.6 inch Touch type: 5-point Capacitive Touch Resolution: 1366 x 768 Color depth: 16M Viewing angle: 178° wide viewing angle Display type: IPS Panel Screen type: TFT-LCD External power supply: 12 V/2 A Digital input: HDMI-compatible interface Interfaces: 1x Keypad interface, 1x power supply 5 V output, 1x Mini HD interface, 1x touch interface, 1x speaker interface, 1x headphone socket, 1x power supply 12 V input Compatibility system: Raspbian, Ubuntu, Windows, Android, Mac OS, and Chrome OS, etc. Active Area: 256.13 x 144 mm Dimensions: 290.8 x 184.2 mm Included 1x 11.6-inch capacitive touch ccreen 1x USB-A to USB-C cable 1x USB-A to micro B cable 1x HD to mini HD cable 1x Micro HD to mini HD cable 1x OSD control board 1x Power adapter 1x Screwdriver 2x Ribbon 1x Manual Downloads Manual Wiki

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Time-of-flight ranging technology Using time-of-flight ranging technology, the distance is measured according to the flight time of the laser pulse. Within the effective detection range of 12 m, the radar ranging accuracy will not change with the distance, and the average ranging accuracy of ±45 mm can be achieved. With the first-class algorithm logic of LDROBOT, it can realize the robot's 360-degree environmental detection, autonomous mapping and obstacle detection. Long lasting Brushless Motor, high speed wireless data transmission, life time up to 10,000 hours of use. Resistant to bright light The rigorous optical design and powerful chip capability ensure that the STL-19P is resistant to strong light, and can effectively avoid strong light interference, and can resist 30,000 Lux of strong light, It is able to achieve high frequency and high precision distance measurement and accurate map building indoors and outdoors. 360° all-round laser-scanning The STL-19P rotates clockwise in the rangefinder core, enabling 360 degree scanning and range detection of the surrounding environment. This results in a contour map of the surrounding environment and a point cloud of information on the location of obstacles. Distance measurement up to 12 m radius The longer range allows the robot to perceive environmental information over a longer range, ensuring the robot's ability to cruise and build maps over a large area. Compact and stylish The compact structure design, with its stylish appearance, smaller size and lower power consumption, can be built into the machine, reducing the overall size and improving the robot's passability. Applications Home service robot Commercial service robot Special robot Drone Industrial robot Specifications Distance measuring range 0.02-12 m Scanning frequency 5-13 Hz Ranging accuracy ±45 mm Ranging frequency 4500 Hz Scanning angle 360° Size 38.6 x 38.6 x 34.8 mm Included 1x Lidar STL-19P 1x Serial line 1x Interface adapter 1x USB cable 1x User manual Downloads GitHub

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CrowBot BOLT is an ESP32-controlled, intelligent, simple and easy-to-use open source robot car. It is compatible with the Arduino and MicroPython environments, with graphical programming via Letscode. 16 learning courses with interesting experiments are available. Features 16 lessons in three languages (Letscode, Arduino, Micropython), fast learning and fun experiments Compatible with Arduino, MicroPython development environment, using Letscode graphical programming, easy to use Strong scalability, with a variety of interfaces, can be expanded and used with Crowtail modules A variety of remote control modes, you can use the infrared remote control and joystick to control the car Specifications Processor ESP32-Wrover-B (8 MB) Programming Letscode, Arduino, Micropython Control method Bluetooth Remote Control/Infrared Remote Control Input Button, Light sensor, Infrared Receiving Module, Ultrasonic Sensor, Line Tracking Sensor Output Buzzer, Programmable RGB Light, Motor Wifi & Bluetooth Yes Light sensor Can realize the function of chasing light or avoiding light Ultrasonic Sensor When an obstacle is detected, the driving route of the car can be corrected to avoid the obstacle Line Tracking Sensor Can make the car move along the dark/black lines, intelligently judge and correct the driving path Buzzer Can make the car sound/whistle, bringing a more direct sensory experience Programmable RGB Light Through programming, it can show colorful lights in different scenes Infrared receiver Receive infrared remote control signals to realize remote control Interfaces 1x USB-C, 1x I²C, 1x A/D Motor type GA12-N20 Micro DC Gear Motor Operating temperature -10℃~+55℃ Power supply 4x 1.5 V batteries (not included) Battery life 1.5 hours Dimensions 128 x 92 x 64 mm Weight 900 g Included 1x Chassis 1x Ultrasonic Sensor 1x Battery Holder 2x Wheels 4x M3x8 mm Screws 2x M3x5 mm Copper Column 2x Side Acrylic Plates 1x Front Acrylic Plates 1x Screwdriver 2x 4 Pin Crowtail Cable 1x USB-C Cable 1x Infrared remote control 1x Instructions & Line Track Map 1x Joystick Downloads Wiki CrowBot-BOLT_Assembly-Instruction Joystick-for-CrowBot-BOLT_Assembly-Instruction CrowBot_BOLT_Beginner’s_Guide Designing Documents of CrowBot Designing Documents of Joystick Lesson Code 3D Model Factory Source Code

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YDLIDAR X4PRO is a 360 degrees two-dimensional rangefinder. Based on the principle of triangulation, it is equipped with related optics, electricity, and algorithm design to achieve high-frequency and high- accuracy distance measurement. The mechanical structure rotates 360 degrees to continuously output the angle information as well as the point cloud data of the scanning environment while ranging. Features 360 degrees omnidirectional scanning ranging distance measurement Small distance error, stable performance and high accuracy Wide ranging distance Strong resistance to ambient light interference Low power consumption, small size and long service life Laser power meets Class I laser safety standards Adjustable motor speed, scanning frequency is 6~12 Hz High-speed ranging, ranging frequency up to 5 kHz Applications Robot navigation and obstacle avoidance Robot ROS teaching and research Regional security Environmental scanning and 3D reconstruction Navigation and obstacle avoidance of robot vacuum cleaner/ROS Learning robot Specifications Range Frequency 5000 Hz Scan Frequency 6-12 Hz Range Distance 0.12 10 m Scan Angle 360° Angle Resolution 0.43-0.85° Dimensions 110.6 x 71.1 x 52.3 mm Downloads Datasheet User Manual Development Manual SDK Tool ROS

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Inkplate 6COLOR continues the tradition of the well-known, user-friendly Inkplate series which is compatible with Arduino and Micropython. Inkplate 6COLOR offers a unique innovation – the ability to display colors on the screen. Inkplate 6COLOR has a 5.85" folded e-paper that displays a total of 7 different colors (Black, White, Red, Yellow, Blue, Green, and Orange). Considering the built-in dithering capability, the results you can get on the screen are really impressive. Powered by ESP32, you will have strong microcontroller with WiFi and Bluetooth on your disposal. It’s super-low-power (18 uA) so you can use it for days, weeks, or months out of a single battery charge. Using our Arduino library (100% compatible with Adafruit GFX), it’s 5 minute work to get the board running for you. The Micropython module is available as well. It’s 100% open-source for both software and hardware. What is especially interesting is that Inkplate uses recycled screens taken from old e-book readers, which is very environmentally friendly, but you have to keep in mind that some screens may have small scratches because of this. All screens with large scratches and damages are not used at all. Features 5.85-inch, 600x448 pixel electronic paper with the ability to display 7 different colors Powered by an ESP32 microcontroller with built-in WiFi and Bluetooth 4.0 (BLE) Consumes extremely small amount of power, whether powered by a lithium battery or USB, in deep sleep mode it consumes only 18 µA, so it will run on one battery for years, and there is also a battery charger located on the board! MicroSD card reader from which Inkplate 6COLOR can extract images to display on its display Additional GPIO lines available, easyC/Qwiic compatibility and I²C and SPI support Arduino library ready (100% compatible with Adafruit GFX) and micropython that enable display of text, images and geometric shapes Dimensions: 131.5 x 105.5 x 10 mm Downloads Arduino library Inkplate documentation Getting started with Inkplate

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Waveshare Core3S500E is an FPGA core board that features an XC3S500E device onboard supporting further expansion. Features Onboard 1x XCF04S Integrated FPGA basic circuit, such as clock circuit Onboard nCONFIG button, RESET button, 4x LEDs All the I/O ports are accessible on the pin headers Onboard JTAG debugging/programming interface 2.0 mm header pitch design, suitable for being plugged-in your application system Downloads Wiki

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This IPS 7.9-inch HDMI touch display with 400 x 1280 resolution, 170° wide viewing angle and built-in ferrite Hi-Fi speaker can be used as a secondary screen for chassis and also supports Raspberry Pi and Jetson Nano. Features 7.9-inch IPS display with a hardware resolution of 400 x 1280. Zinc alloy case, toughened glass panel with up to 6H hardness. When working as a computer monitor, it supports Windows without a driver. When working with Raspberry Pi, it supports Raspberry Pi OS / Ubuntu / Kali and Retropie, driver-free. When working with Jetson Nano, it supports Ubuntu, driver-free. Support backlight control for power saving. Support 5-point capacitive touch control. Specifications Display size 7.9" Viewing angle 170° Resolution 400 x 1280 pixels Display area 191.08 x 60.40 mm IPS version solor gamut 62% NTSC Max brightness 550 cd/m² Backlight adjustment Adjusted by the key/HID software Contrast 900:1 Color depth 16.7M Refresh rate 60 Hz Power port USB-C Display port HDMI interface Dimensions 211 x 73 x 20 mm Included 1x 7.9-inch Side Monitor 1x HDMI to Micro HDMI adapter 1x USB Type-A to Type-C cable (1 m) 1x HDMI flat cable (1 m) 2x Nonskid rubber feet Downloads Wiki

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As an updated version of Grove Light Sensor 1.0, the Grove Light Sensor v1.2 is an analog module and can output various electrical signals which can be converted to different ranges (It depends on the Analog-to-Digital-Converter on your controller board. For example, it can output 0-255 for an 8-bit ADC). It is a perfect LDR sensor module for light measurement, light detection, and light-controlled switch. Compared with Grove Light Sensor 1.0, the Grove Light Sensor v1.2 is also aimed at measuring light levels, however with higher reliability and sensibility. It replaced the traditional LDR GL5528(light dependent resistor) with LS06-S photoresistor, a high-sensitive and reliable photodiode, to detect the intensity of light in the environment. The resistance of photoresistor decreases when the intensity of light increases. Also, a dual OpAmp chip LM358 on board produces a voltage corresponding to the intensity of light(i.e based on resistance value). The output signal from this module will be HIGH in bright light and LOW in the dark. And just like other grove modules, it is interfaced with Grove port which can save you a lot of work in the wiring. It will be a perfect choice if you are looking for a plug-and-play Arduino light sensor apart from the traditional LDR Arduino sensor and Arduino photocell sensor. Features Easy to use: Interfaced with Grove port, just plug-and-play Higher reliability and sensibility compared with Grove light sensor 1.0 Short response time: 20 ~ 30 milliseconds Small footprint Recognize wider spectrum Applications Light measurement Light detector Light-controlled switch Smart home device Specifications Dimensions 20 x 20 x 18 mm Weight 8 g Battery Exclude Operating voltage(V) 3-5 V Operating current(mA) 0.5-3 mA Response time 20 ~ 30 milliseconds Peak Wavelength 540 nm Phototriode GL5528 (datasheet) Included 1x Grove Light Sensor V1.2 1x Grove Cable Documentation Wiki

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The R301T fingerprint sensor module is capable of image collection and algorithm calculation due to this integrated chip. Another remarkable function of the sensor is, that it can recognize the fingerprint in different conditions, for example humidity, light texture or changes of the skin. This offers a very wide range of possible applications to secure locks and doors among others. The chip can send data via UART, TTL serial and USB to the connected controller. Specifications Model JP2000 sensor Chip 32 Bit ARM Cortex-M3 Chip storage 96 kB RAM, 1 MB Flash Power supply 4.2 - 6.0 V Working current Typical: 40 mAPeak: 50 mA Logic level 3,3 / 5 V TTL Logic Fingerprint storage capacity 3000 Prints Matching mode 1:N Identification1:1 Verification Adjustable security level 1 - 5 levels(default security level: 3) False acceptance rate < 0.001%(on security level 3) False acceptance rate < 0.1%(on security level 3) Response time Pre-treatment: < 0.45 sMatch: < 1.5 s Baud rate support 9600 - 921600 UART communication No parity, Stop Bit: 1 Dimensions 42 x 19 x 8 mm Included 1x Fingerprint sensor COM-FP-R301T 1x Cable Downloads • Datasheet Manual

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Excellent quality, high-torque 'NEMA 17' bipolar stepper motor for all of your motion control needs. Features a 5 mm precision ground shaft with a machined flat. Wiring harness included, various wire lengths available. Useful for all kinds of robotics projects! For example, this is the same stepper motor used in the EggBot kit and AxiDraw. Specifications Motor type: Bipolar stepper motor (4-wire) 1.8 degree step angle (200 steps per revolution) 5 mm output shaft, w/ machined flat 24 mm (0.95 inches) shaft length from screw face plate NEMA 17 form factor 31 mm (1.22 inches) mounting hole distance Mounting screw type: M3 with 3.5 mm min. thread depth 42 mm (1.65 inch) square body size Coil voltage 3.1 V Current 1 A per phase Winding resistance 3.1 ohms per phase Holding torque 1440 g*cm Leads are tinned, wrapped in heat shrink tubing (black or gray) Wire colors: Red and Yellow for the first coil, green and gray for the second coil. Downloads Datasheet

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The matte-black circuit board is extra thick and has subtle white markings, including an alphanumeric grid and PIN labels. The wiring pattern — that of classic breadboards — is easy to see by looking at the exposed traces on the bottom of the board.The kit comes complete with the 'Integrated Circuit Leg' stand and 8 colour-coded thumbscrew terminal posts. Using the terminal posts and solder points, you can hook up to your 'IC' with bare wires, lugs, alligator clips, and/or solder joints. Connections to the 8 terminal posts are through the three-position strips on the PCB; each is labelled with the corresponding PIN.Features Anodized aluminium stand 8-32 size press-fit threaded inserts (8 pieces) pre-installed in the protoboard All materials (including the circuit board and stand) are RoHS compliant (lead-free) Tri lobular thread forming screws (6 pieces, black, 6-32 thread size) and spacers for mounting the stand. Dimensions: 13.25 cm × 8.06 cm x 2.54 mm Dimensions assembled: 13.25 cm × 9.9 cm × 4.3 cm

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Features 32GB High-performance MicroSD card 5 V 4 A power supply with 2.1mm DC barrel connector 2-pin jumper Raspberry Pi camera module V2 Micro-B To Type-A USB cable with DATA enabled

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The LED Strip Driver with 4-pin Grove interface provides easy connectivity to your standard Arduino device or Seeed Stalker. It can help you control the luminance of a single-color LED strip, as well as the color and the luminance of an RGB LED strip through Arduino or Seeeduino. It has 2 terminals and 2 Grove interfaces. The power for the LED strip comes in through the 2-pin terminal. And the LED controlling voltages output through the 4-pin terminal. The 2 Grove interfaces are respectively screen-printed “IN” (for controlling data input) and “OUT” (for controlling data shared with the next strip driver). It can drive an LED strip 1 to 2 meters long with 9 V, while 1 to 5 meters long with 12 V. The driver in conjunction with the colorful LED strips can add a wonderful effect to indoor or outdoor usages. Features Grove compatible interface Can be cascaded for a larger display Best results achieved with LED strips 5 meters long or shorter Outputs PWM signals 256 gray-levels are adjustable via programming Arduino and MEGA compatible Screw Terminals (power input and control signal output interface) Downloads Schematic V1.1 in PDF Schematic V1.2 in PDF Suli Library LED Strip Driver library LED Strip driver eagle files V1.1 LED Strip driver eagle files V1.2 N-MOSFET DMN3016LK3 Datasheet P9813 Datasheet

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The Arduino MKR Zero is a development board for music makers! With an SD card holder and dedicated SPI interfaces (SPI1), you are able to play music files without extra hardware. The MKR Zero brings you the power of a Zero in the smaller format established by the MKR form factor. The MKR Zero board acts as a great educational tool for learning about 32-bit application development. It has an on-board SD connector with dedicated SPI interfaces (SPI1) that allows you to play with MUSIC files with no extra hardware! The board is powered by Atmel’s SAMD21 MCU, which features a 32-bit ARM Cortex M0+ core. The board contains everything needed to support the microcontroller; simply connect it to a computer with a micro-USB cable or power it by a LiPo battery. The battery voltage can also be monitored since a connection between the battery and the analog converter of the board exists. Specifications Microcontroller SAMD21 ARM Cortex-M0+ 32-bit low power Board power supply (USB/VIN) 5 V Supported battery Li-Po single cell, 3.7 V, 700 mAh minimum DC current for 3.3 V pin 600 mA DC current for 5 V pin 600 mA Circuit operating voltage 3.3 V Digital I/O pins 22 PWM pins 12 (0, 1, 2, 3, 4, 5, 6, 7, 8, 10, A3 - or 18 -, A4 -or 19) UART 1 SPI 1 I²C 1 Analog input pins 7 (ADC 8/10/12 bit) Analog output pins 1 (DAC 10 bit) External interrupts 10 (0, 1, 4, 5, 6, 7, 8, A1 -or 16-, A2 - or 17) DC current per I/O pin 7 mA Flash memory 256 KB Flash memory for bootloader 8 KB SRAM 32 KB EEPROM No Clock speed 32.768 kHz (RTC), 48 MHz LED_BUILTIN 32 Downloads Datasheet Eagle Files Schematics Fritzing Pinout

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Portenta H7 Lite allows you to build your next smart project. Ever wanted an automated house? Or a smart garden? Well, now it’s easy with the Arduino IoT Cloud compatible boards. It means: you can connect devices, visualize data, control and share your projects from anywhere in the world. The Portenta H7 Lite is very similar to the Portenta H7, that simultaneously can run high level code along with real time tasks thanks to its two processors. It is, for example, possible to execute Arduino compiled code along with MicroPython one and have both cores to communicate with one another. However, the H7 Lite is a low-cost board with H7 functionalities that can be configured to specific use cases. Features Dual Core – Two best-in-class processors in one, running parallel tasks AI on the edge – So powerful it can run AI state machines Customization – The board is highly customizable in volumes High-level programming language support (Micropython) The Portenta H7 Lite offers twofold functionality: it can run either like any other embedded microcontroller board, or as the main processor of an embedded computer. For example, use the Portenta Vision Shield to transform your H7 Lite into an industrial camera capable of performing real-time machine learning algorithms on live video feeds. As the H7 Lite can easily run processes created with TensorFlow Lite, you could have one of the cores computing a computer vision algorithm on the fly, while the other carries out low-level operations like controlling a motor or acting as a user interface. Solutions High-end industrial machinery Laboratory equipment Computer vision PLCs Robotics controllers Mission-critical devices High-speed booting computation (ms) Two Parallel Cores The Portenta H7 Lite’s main processor is the STM32H747 dual core including a Cortex-M7 running at 480 MHz and a Cortex-M4 running at 240 MHz. The two cores communicate via a Remote Procedure Call mechanism that allows calling functions on the other processor seamlessly. Both processors share all the in-chip peripherals and can run: Arduino sketches on top of the ARM Mbed OS Native Mbed applications MicroPython / JavaScript via an interpreter TensorFlow Lite A New Standard for Pinouts The Portenta family adds two 80-pin high-density connectors at the bottom of the board. This ensures scalability for a wide range of applications: simply upgrade your Portenta board to the one suiting your needs. USB-C Multipurpose Connector The board’s programming connector is a USB-C port that can also be used to power the board, as a USB Hub, or to deliver power to OTG connected devices. Arduino IoT Cloud Use your Portenta board on Arduino’s IoT Cloud, a simple and fast way to ensure secure communication for all of your connected Things. Specifications Microcontroller STM32H747XI Dual Cortex-M7+M4 32-bit low power ARM MCU (datasheet) Secure element (default) Microchip ATECC608 Board power supply (USB/VIN) 5 V Supported battery Li-Po Single Cell, 3.7 V, 700 mAh Minimum (integrated charger) Circuit operating voltage 3.3 V Current consumption 2.95 μA in Standby mode (Backup SRAM OFF, RTC/LSE ON) Timers 22x timers and watchdogs UART 4x ports (2 with flow control) Ethernet PHY 10 / 100 Mbps (through expansion port only) SD card Interface for SD card connector (through expansion port only) Operational temperature -40 °C to +85 °C MKR headers Use any of the existing industrial MKR shields on it High-density connectors Two 80-pin connectors will expose all of the board's peripherals to other devices Camera interface 8-bit, up to 80 MHz ADC 3x ADCs with 16-bit max. resolution (up to 36 channels, up to 3.6 MSPS) DAC 2x 12-bit DAC (1 MHz) USB-C Host / Device, High / Full Speed, Power delivery Downloads Datasheet Schematics

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Inky Frame 4.0' features a vibrant E Ink display with 640 x 400 pixels of tightly packed seven colour goodness – that's almost as many pixels as on the 5.7' Inky Frame, but squished tidily into a smaller footprint. There's five buttons with LED indicators for interacting with the display, two Qw/ST connectors for plugging in breakouts and a micro SD card slot for storage of capybara photos or other vital files. Every Inky Frame comes with a pair of sleek little metal legs so you can stand it up on your desk. There's also a battery connector so you can power it without annoying trailing wires, and some neato power saving features that mean you can run it from batteries for ages. Inky Frame 4.0' is great for: An ultra readable, low power consumption home automation dashboard Displaying stylised photos, pop art images or favourite comic panels. Showing cute graphs and readouts from local or wirelessly connected sensors Displaying fascinating data from online APIs. Features Raspberry Pi Pico W Aboard Dual Arm Cortex M0+ running at up to 133 Mhz with 264 kB of SRAM 2 MB of QSPI flash supporting XiP Powered and programmable by USB micro-B 2.4 GHz wireless 4.01' EPD display (640 x 400 pixels) E Ink Gallery Palette 4000 ePaper ACeP (Advanced Color ePaper) 7-color with black, white, red, green, blue, yellow, orange. Ultra wide viewing angles Ultra low power consumption Dot pitch – 0.135 x 0.135 mm 5x Tactile buttons with LED indicators Two Qw/ST connectors for attaching breakouts microSD card slot Dedicated RTC chip (PCF85063A) for deep sleep/wake Fully assembled (no soldering required) C/C++ and MicroPython libraries Schematic Included 1x Inky Frame 4.0' (incl. Pico W) 2x Metal legs Downloads MicroPython (Learn) Getting Started with Inky Frame (Readme) Installing MicroPython (Readme) MicroPython FAQs (and troubleshooting) Download pirate-brand MicroPython (you'll want the Inky Frame.uf2) MicroPython examples PicoGraphics function reference C/C++ C examples Picographics function reference

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This 5.83-inch 3-color e-paper e-ink display module for Raspberry Pi Pico offers a resolution of 648 × 480 pixels, an SPI interface, low power consumption, wide viewing angle and a paper-like effect without electricity. Features No backlight, keeps displaying last content for a long time even when power down Ultra low power consumption, basically power is only required for refreshing SPI interface, requires minimal I/O pins 2x user buttons and 1x reset button for easy interacting Comes with development resources and manual (Raspberry Pi Pico C/C++ and MicroPython examples) Specifications Operating voltage 3.3 V Display color Red, black, white Resolution 648 × 480 pixels Gray scale 2 Interface 3-wire SPI, 4-wire SPI Viewing angle >170° Partial refresh time N/A Full refresh time 5s Outline dimensions 125.4 × 99.5 mm Display size 119.232 × 88.320 mm Refresh power 26.4 mW (typ.) Standby current <0.01 uA (almost none) Dot pitch 0.184 × 0.184 mm Applications Suitable For Price Tags Asset/Equipment Tags Shelf Labels Conference Name Tag Included 1x 5.83-inch e-Paper (B) 1x Pico-ePaper-Driver-Board 1x Standoff pack Downloads Wiki

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This camera module adopts a SmartSens SC3336 sensor chip with 3 MP resolution. It features high sensitivity, high SNR, and low light performance and it is capable of a more delicate and vivid night vision imaging effect, and can better adapt to ambient light changes. Also, it is compatible with Luckfox Pico series boards. Specifications Sensor Sensor: SC3336 CMOS size: 1/2.8" Pixels: 3 MP Static resolution: 2304x1296 Maximum video frame rate: 30fps Shutter: Rolling shutter Lens Focal length: 3.95 mm Aperture: F2.0 FOV: 98.3° (diagonal) Distortion: <33% Focusing: Manual focus Downloads Wiki

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Arduino MKR NB 1500 allows you to build your next smart project. Ever wanted an automated house? Or a smart garden? Well, now it’s easy with the Arduino IoT Cloud compatible boards. It means: you can connect devices, visualize data, control and share your projects from anywhere in the world. Whether you’re a beginner or a pro, we have a wide range of plans to make sure you get the features you need. Add Narrowband communication to your project with the MKR NB 1500. It's the perfect choice for devices in remote locations without an Internet connection, or in situations in which power isn't available like on-field deployments, remote metering systems, solar-powered devices, or other extreme scenarios. The board's main processor is a low power ARM Cortex-M0 32-bit SAMD21, like in the other boards within the Arduino MKR family. The Narrowband connectivity is performed with a module from u-blox, the SARA-R410M-02B, a low power chipset operating in the de different bands of the IoT LTE cellular range. On top of those, secure communication is ensured through the Microchip ECC508 crypto chip. Besides that, the pcb includes a battery charger, and a connector for an external antenna. This board is designed for global use, providing connectivity on LTE's Cat M1/NB1 bands 1, 2, 3, 4, 5, 8, 12, 13, 18, 19, 20, 25, 26, 28. Operators offering service in that part of the spectrum include: Vodafone, AT&T, T-Mobile USA, Telstra, and Verizon, among others. Specifications The Arduino MKR NB 1500 is based on the SAMD21 microcontroller. Microcontroller SAMD21 Cortex-M0+ 32-bit low power ARM MCU (datasheet) Radio module u-blox SARA-R410M-02B (datasheet summary) Secure element ATECC508 (datasheet) Board power supply (USB/VIN) 5 V Supported battery Li-Po Single Cell, 3.7 V, 1500 mAh Minimum Circuit operating voltage 3.3 V Digital I/O pins 8 PWM pins 13 (0 .. 8, 10, 12, 18 / A3, 19 / A4) UART 1 SPI 1 I²C 1 Analog input pins 7 (ADC 8/10/12 bit) Analog output pins 1 (DAC 10 bit) External interrupts 8 (0, 1, 4, 5, 6, 7, 8, 16 / A1, 17 / A2) DC current per I/O pin 7 mA Flash memory 256 KB (internal) SRAM 32 KB EEPROM No Clock speed 32.768 kHz (RTC), 48 MHz LED_BUILTIN 6 USB Full-speed USB device and embedded host Antenna gain 2 dB Carrier frequency LTE bands 1, 2, 3, 4, 5, 8, 12, 13, 18, 19, 20, 25, 26, 28 Power class (radio) LTE Cat M1 / NB1: Class 3 (23 dBm) Data rate (LTE M1 halp-duplex) UL 375 kbps / DL 300 kbps Data rate (LTE NB1 full-duplex) UL 62.5 kbps / DL 27.2 kbps Working region Multiregion Device location GNSS via modem Power consumption (LTE M1) min 100 mA / max 190 mA Power consumption (LTE NB1) min 60 mA / max 140 mA SIM card MicroSIM (not included with the board) Dimensions 67.6 x 25 mm Weight 32 g Downloads Eagle Files Schematics Pinout

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The Waveshare Jetson Nano Development Kit, based on AI computers Jetson Nano (with 16 GB eMMC) and Jetson Xavier NX, provides almost the same IOs, size, and thickness as the Jetson Nano Developer Kit (B01), more convenient for upgrading the core module. By utilizing the power of the core module, it is qualified for fields like image classification, object detection, segmentation, speech processing, etc., and can be used in sorts of AI projects. Specifications GPU 128-core Maxwell CPU Quad-core ARM A57 @ 1.43 GHz RAM 4 GB 64-bit LPDDR4 25.6 GB/s Storage 16 GB eMMC + 64 GB TF Card Video encoder 250 MP/s 1x 4K @ 30 (HEVC) 2x 1080p @ 60 (HEVC) 4x 1080p @ 30 (HEVC) Video decoder 500 MP/s 1x 4K @ 60 (HEVC) 2x 4K @ 30 (HEVC) 4x 1080p @ 60 (HEVC) 8x 1080p @ 30 (HEVC) Camera 1x MIPI CSI-2 D-PHY lanes Connectivity Gigabit Ethernet, M.2 Key E expansion connector Display HDMI USB 1x USB 3.2 Gen 1 Type A 2x USB 2.0 Type A 1x USB 2.0 Micro-B Interfaces GPIO, I²C, I²S, SPI, UART Dimensions 100 x 80 x 29 mm Included 1x JETSON-NANO-LITE-DEV-KIT (carrier + Nano + heatsink) 1x AC8265 dual-mode NIC 1x Cooling fan 1x USB cable (1.2 m) 1x Ethernet cable (1.5 m) 1x 5 V/3 A power adapter (EU) 1x 64 GB TF Card 1x Card reader Documentation Wiki

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This AI Edge Computing Development Kit is based on the Jetson Orin Nano Module providing rich peripheral interfaces such as M.2, DP, USB, etc. This kit also comes with a pre-installed AW-CB375NF wireless network card that supports Bluetooth 5.0 and dual-band WIFI, with two additional PCB antennas, for providing high-speed and reliable wireless network connection and Bluetooth communication. Specifications AI performance 40 TOPS GPU 1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores GPU frequency 625 MHz (max) CPU 6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5 MB L2 + 4 MB L3 CPU frequency 1.5 GHz (max) RAM 8 GB 128-bit LPDDR5, 68 GB/s Storage 128 GB NVMe Solid State Drive Power 7~15 W PCIE M.2 Key M slot with x4 PCIe Gen3 M.2 Key M slot with x2 PCIe Gen3 M.2 Key E slot USB USB Type-A: 4x USB 3.2 Gen2 USB Type-C (UFP) CSI camera 2x MIPI CSI-2 camera connector Video encode 1080p30 supported by 1-2 CPU cores Video decode 1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265) Display 1x DisplayPort 1.2 (+MST) connector Interfaces 40-Pin Expansion Header (UART, SPI, I²S, I²C, GPIO), 12-pin button header, 4-pin fan header, DC power jack Networking 1x GbE connector Dimensions 103 x 90.5 x 34 mm Included Waveshare Orin Nano development kit 1x Jetson Orin Nano Module (8 GB) 1x JETSON-ORIN-IO-BASE 1x Cooling Fan 1x 128 GB NVMe Solid State Drive (assembled) 1x Wireless network card (assembled) 1x USB Type A to Type-C cable (1 m) 1x Ethernet cable (1.5 m) 1x Jumper 1x Power adapter (EU) Documentation Wiki

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