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 WiFi and Bluetooth connectivity is performed with a module from u-blox, the NINA-W10, a low-power chipset operating in the 2.4 GHz range. On top of that, secure communication is ensured through the Microchip ECC508 crypto chip. Besides that, you can find a battery charger, and an RGB LED on-board.
Official Arduino WiFi Library
You can get your board to connect to any kind of existing WiFi network, or use it to create your own Arduino Access Point. The specific set of examples we provide for the MKR WiFi 1010 can be consulted at the WiFiNINA library reference page.
Compatible with other Cloud Services
It is also possible to connect your board to different Cloud services, Arduino's own among others. Here are some examples of how to get the MKR WiFi 1010 to connect to:
Blynk: a simple project from the Arduino community connecting to Blynk to operate your board from a phone with little code
IFTTT: in-depth case of building a smart plug connected to IFTTT
AWS IoT Core: Arduino made this example on how to connect to Amazon Web Services
Azure: visit this GitHub repository explaining how to connect a temperature sensor to Azure's Cloud
Firebase: you want to connect to Google's Firebase, this Arduino library will show you how
Specifications
Microcontroller
SAMD21 Cortex-M0+ 32bit low power ARM MCU
Radio Module
u-blox NINA-W102
Power Supply
5 V
Secure Element
ATECC508
Supported Battery
Li-Po Single Cell, 3.7 V, 1024 mAh Minimum
Operating Voltage
3.3 V
Digital I/O Pins
8
PWM Pins
13
UART
1
SPI
1
I2C
1
Analog Input Pins
7
Analog Output Pins
1
External Interrupts
10
Flash Memory
256 KB
SRAM
32 KB
EEPROM
no
Clock Speed
32.768 kHz, 48 MHz
LED_Builtin
6
USB
Full-Speed USB Device and embedded Host
Length
61.5 mm
Width
25 mm
Weight
32 g
These are some of our favourite sensors from each category. But wait, there's more! The SparkFun Sensor Kit now includes several of our sensor boards that feature the Qwiic Connect System for rapid prototyping!
This version of the kit has received a complete overhaul!
This huge assortment of sensors makes an amazing gift for that exceptional electronics enthusiast in your life!
Included
Large Piezo Vibration Sensor (With Mass): A flexible film able to sense for vibration, touch, shock, etc. When the film moves back and forth an AC wave is created, with a voltage of up to ±90.
Reed Switch: Senses magnetic fields, makes for a great non-contact switch.
0.25' Magnet Square: Plays nicely with the reed switch. Embed the magnet into stuffed animals or inside a box to create a hidden actuator to the reed switch.
0.5' Force Sensitive Resistor: A force-sensing resistor with a 0.5' diameter sensing area. Great for sensing pressure (i.e., if it's being squeezed).
Flex Sensor (2.2'): As the sensor is flexed, the resistance across the sensor increases. Useful for sensing motion or positioning.
SoftPot: These are very thin variable potentiometers. By pressing on various positions along the strip, you vary the resistance.
Mini Photocell: The photocell will vary its resistance based on how much light it's exposed to. Will vary from 1kΩ in the light to 10kΩ in the dark.
PIR Motion Sensor: Easy-to-use motion detector with an analog interface. Power it with 5-12VDC, and you'll be alerted of any movement.
QRD1114 Optical Detector/Phototransistor: An all-in-one infrared emitter and detector. Ideal for sensing black-to-white transitions or can be used to detect nearby objects.
IR Diode: This LED can handle up to 50mA of current and outputs in the 940-950nm IR spectrum. Use to send signal to talk to the included IR receiver diode or just turn off your neighbor's TV.
IR Receiver Diode: This simple IR receiver will detect an IR signal coming from a standard IR remote control or the IR diode included in the kit.
Resistor 1.0M Ohm 1/4 Watt PTH: Two 1/4 Watt, +/- 5% tolerance PTH resistors. Commonly used in breadboards and perf boards. The large resistor helps dampen any voltage spikes when using the large piezo vibration sensor with a microcontroller.
Resistor 10K Ohm 1/4 Watt PTH – 20 pack (Thick Leads): 1/4 Watt, +/- 5% tolerance PTH resistors. Commonly used in breadboards and perf boards, these 10KΩ resistors make excellent pullups, pulldowns, and current limiters.
Resistor 330 Ohm 1/4 Watt PTH – 20 pack (Thick Leads): 1/4 Watt +/- 5% tolerance PTH resistors. Commonly used in breadboards and perf boards, these 330Ω resistors make excellent current-limiting resistors for LEDs.
SparkFun 9DoF IMU Breakout – ISM330DHCX, MMC5983MA (Qwiic): This breakout board includes a 3-axis accelerometer, 3-axis gyroscope, and 3-axis magnetometer. Connect this board over I2C using a Qwiic cable or solder wires or headers to the SPI pins to get started using one of the three sensors or using all three together to determine 3D orientation.
SparkFun Atmospheric Sensor Breakout – BME280 (Qwiic): The SparkFun BME280 Atmospheric Sensor Breakout is an easy way to measure barometric pressure, humidity, and temperature readings, all without taking up too much space.
SparkFun Indoor Air Quality Sensor – ENS160 (Qwiic): The SparkFun ENS160 Indoor Air Quality Sensor is a digital multi-gas sensor solution with four sensor elements that can be used in a wide range of applications including building automation, smart home, and HVAC.
SparkFun Capacitive Touch Slider – CAP1203 (Qwiic): This little board acts great as a non-mechanical button. Use the three pads on the board or connect your own input for a great touch button or slider with no moving parts.
Flexible Qwiic Cable (100 mm): Use these to connect up to four Qwiic boards in your kit.
RGB and Gesture Sensor (APDS-9960): This board does a little bit of everything. You can measure ambient light or color as well as detect proximity and do gesture sensing all over I2C.
Soil Moisture Sensor (with screw terminals): Ever wonder if your plant needs water? This sensor outputs an analog signal based on the resistance of the soil. Since water is conductive, the soil water content will be reflected in the soil resistance.
Sound Detector: Ever need to know if there is noise in an area? This board will not only tell you, but it will also output amplitude as well as the full audio signal.
Break Away Headers (Straight): Solder these pins to any of the breakouts to prototype on a breadboard. You'll want to solder these to boards that do not have Qwiic connectors such as the gesture sensor and sound detector.
The servo control is based on the SparkFun servo pHAT, and thanks to its I2C capabilities, this PWM add-on saves the Raspberry Pi's GPIO pins, allowing you to use them for other purposes. We have also provided a Qwiic connector for easy interfacing with the I²C bus using the Qwiic system. Whether you use the Auto pHAT with a Raspberry Pi, NVIDIA, Jetson Nano, Google Coral, or other SBC, it makes for a unique robotics addition and board with a 2x20 GPIO.
The DC motor control comes from the same 4245 PSOC and 2-channel motor ports system used on the SparkFun Qwiic Motor Driver. This provides 1.2A steady-state drive per channel (1.5A peak) and 127 levels of DC drive strength. The SparkFun Auto pHAT also supports up to two motor encoders thanks to the onboard ATTINY84A to provide more precise movement to your creation!
Additionally, the Auto pHAT has an on-board ICM-20948 9DOF IMU for all your motion-sensing needs. This enables your robot to access the 3-Axis Gyroscope with four selectable ranges, 3-Axis Accelerometer, again with four selectable ranges, and 3-axis magnetometer with an FSR of ±4900µT.
Power to the SparkFun Auto pHAT can be supplied through a USB-C connector or external power. This will power either the motors only or power the motors and the Raspberry Pi that is connected to the HAT. We've even added power protection circuits to the design to avoid damage to power sources.
Features
4245 PSOC and 2-channel motor ports programmable using Qwiic library
Onboard ATTINY84A supports up to two DC motor encoders
5V pass-through from RPi
Onboard ICM-20948 9DOF IMU for motion sensing accessible via Qwiic library
PWM control for up to four servos
Qwiic connector for expansion to full SparkFun Qwiic ecosystem
Designed for stacking, full header support & can use additional pHATs on top of it
Uninhibited access to the RPi camera connector & display connector.
USB-C for powering 5V rail (Motors/Servos/back powering Pi)
External power inputs broken out to PTH headers
The JLINK V9 USB-JTAG Arm Emulator/Debugger is a high-performance and reliable tool for programming and debugging ARM Cortex-M, Cortex-A/R, and other supported microcontrollers via JTAG and SWD interfaces.
Features
Universal Compatibility: Supports a wide range of ARM-based MCUs and cores including Cortex-M0, M3, M4, M7, A5, A7, A9, and R4.
High-Speed Performance: Fast data throughput for both flash programming and real-time debugging with minimal latency.
Multi-Interface Support: Offers both JTAG and SWD modes, enabling flexible use in different development environments.
Plug & Play via USB: Easy connection to your PC with USB 2.0 interface; no external power supply required.
Robust Software Support: Fully compatible with SEGGER J-Link software tools and supported by major IDEs including Keil MDK, IAR EWARM, SEGGER Embedded Studio, and others.
Included
1x JLINK V9 USB-JTAG Arm Emulator/Debugger
1x USB Cable
1x Connector Cable
Looking to dispense materials with a lower viscosity? These are the nozzles for you. Don't use this with our standard ink or solder paste... that will result in poor performance.
This pack contains 4 extra fine nozzles with an internal diameter of 0.100 mm (4 mil).
The software simulation of gauges, control-knobs, meters and indicators which behave just like real hardware components on a PC’s screen is known as virtual instrumentation.
In this book, the Delphi program is used to create these mimics and PIC based external sensors are connected via a USB/RS232 converter communication link to a PC.
Detailed case studies in this Book include a virtual compass displayed on the PC’s screen, a virtual digital storage oscilloscope, virtual -50 to +125 degree C thermometer, and FFT sound analyser, a joystick mouse and many examples detailing virtual instrumentation Delphi components. Arizona’s embedded microcontrollers – the PIC's are used in the projects and include PIC16F84A, PIC16C71, DSPIC30F6012A, PIC16F877, PIC12F629 and the PIC16F887. Much use is made of Microchip’s 44 pin development board (a virtual instrument ‘engine)’, equipped with a PIC16F887 with an onboard potentiometer in conjunction with the PIC’s ADC to simulate the generation of a variable voltage from a sensor/transducer, a UART to enable PC RS232 communications and a bank of 8 LED's to monitor received data is also equipped with an ISP connector to which the ‘PICKIT 2’ programmer may easily be connected.
Full source code examples are provided both for several different PIC’s, both in assembler and C, together with the Pascal code for the Delphi programs which use different 3rd party Delphi virtual components.
This ebook is about the Raspberry Pi 3 computer and its use in various control and monitoring applications. The book explains in simple terms and with tested and working example projects, how to configure the Raspberry Pi 3 computer, how to install and use the Linux operating system, and how to write hardware based applications programs using the Python programming language.
The nice feature of this book is that it covers many Raspberry Pi 3 based hardware projects using the latest hardware modules such as the Sense HAT, Swiss Pi, MotoPi, Camera module, and many other state of the art analog and digital sensors. An important feature of the Raspberry Pi 3 is that it contains on-board Bluetooth and Wi-Fi modules. Example projects are given in the book on using the Wi-Fi and the Bluetooth modules to show how real-data can be sent to the Cloud using the Wi-Fi module, and also how to communicate with an Android based mobile phone using the Bluetooth module.
The book is ideal for self-study, and is intended for electronic/electrical engineering students, practising engineers, research students, and for hobbyists. It is recommended that the book should be followed in the given Chapter order.
Over 30 projects are given in the book. All the projects in the book are based on the Python programming language and they have been fully tested. Full program listings of every project are given in the book with comments and full descriptions. Experienced programmers should find it easy to modify and update the programs to suit their needs.
The following sub-headings are given for each project to make it as easy as possible for the readers to follow the projects:
Project title
Description
Aim of the project
Raspberry Pi type
Block diagram
Circuit diagram
Program listing
The LILYGO T-Display-S3 Long is a versatile development board powered by the ESP32-S3R8 dual-core LX7 microprocessor. It features a 3.4-inch capacitive touch TFT LCD with a resolution of 180x640 pixels, providing a responsive interface for various applications.
This board is ideal for developers seeking a compact yet powerful solution for projects requiring touch input and wireless communication. Its compatibility with popular programming environments ensures a smooth development experience.
Specifications
MCU
ESP32-S3R8 Dual-core LX7 microprocessor
Wireless Connectivity
Wi-Fi 802.11, BLE 5 + BT Mesh
Programming Platform
Arduino IDE, VS Code
Flash
16 MB
PSRAM
8 MB
Bat voltage detection
IO02
Onboard functions
Boot + Reset Button, Battery Switch
Display
3.4" Capacitive Touch TFT LCD
Color depth
565, 666
Resolution
180 x 640 (RGB)
Working power supply
3.3 V
Interface
QSPI
Included
1x T-Display S3 Long
1x Power cable
2x STEMMA QT/Qwiic interface cable (P352)
1x Female pin (double row)
Downloads
GitHub
Features Integrated Cold-Junction Compensation Supported Types (designated by NIST ITS-90): Type K, J, T, N, S, E, B and R Four Programmable Temperature Alert Outputs: Monitor Hot- or Cold-Junction Temperatures Detect rising or falling temperatures Up to 255°C of Programmable Hysteresis Programmable Digital Filter for Temperature Low Power Dimensions: 20 mm x 40 mm x 18 mm Weight: 18 g Application Petrochemical Thermal Management Hand-Held Measurement Equipment Industrial Equipment Thermal Management Ovens Industrial Engine Thermal Monitor Temperature Detection Racks Downloads Eagle Files Github library Datasheet
Lo-Fi (ESP32 + LoRa combination) is the perfect solution for anyone looking to establish long-range wireless communication in a variety of applications with WiFi capabilities. LoRa offers exceptional range and easy connectivity, it allows you to seamlessly communicate with devices up to 5 km away.
Devices provide an efficient and trustworthy choice for long-range wireless communication in addition to WiFi access to link internet clouds best suited for Internet of Things applications, enabling connectivity in remote and challenging settings.
Features
Device powered by powerful ESP32 S3 WROOM-1 which is having Xtensa dual-core 32-bit LX7 microprocessor, up to 240 MHz
Inbuilt Wi-Fi & Bluetooth LE for wireless connectivity
Type C interface for Programming/Power
1.14" TFT display for visual interactions
GPIO breakouts for interfacing additional peripherals
Breadboard compatible for easy DIY breadboarding projects
2 separate user programmable buttons along with Reset and Boot buttons
3.7 V Lithium Battery connector for a portable use case with an onboard charging option
Use new generation LoRa spread spectrum to ensure stable communication
For LoRa, faster speed and a longer data transmission range of up to 5 km
Applications
Internet of Things (IoT)
Smart Home Automation
Agricultural Automation
Emergency Services
Environmental Monitoring
Industrial Automation
Specifications
Microcontroller: ESP32 S3 WROOM-1
Wireless Interface: WiFi, BLE, LoRa
Protocol: 802.11b/g/n, Bluetooth 5.0
Memory Size: 16 MB Flash, 384 kB ROM, 8 MB SRAM
Supply Voltage: 5 V
Operating Voltage: 3.3 V
Display Size: 1.14”
Display Type: TFT
Display resolution: 135 x 240 pixels
Display driver: ST7789V
Display Appearance: RGB
Display color: 4k/65k/252k
Display Luminance: 400 Cd/m²
Operating Temperature: -20 to 70°C
Storage Temperature: -30 to 80°C
LoRa Module Specs:
Carrier Frequency (License Free ISM): 868 MHz
Chip: Based on SX1262 RF chip
Range: 5Km
Transmitting Power: 22 dBm
Receiving Sensitivity: -147 dbm
Data Rate: Up to 62.5 kbps
Communication Port: UART serial
Downloads
Getting started guide
Hardware design files
Included
1x Lo-Fi Board
1x Antenna (868 MHz)
The Raspberry Pi USB-C power supply is designed specifically to power the latest Raspberry Pi 4 Model B computers.
The power supply features a USB-C cable and is available in four different models to suit different international power sockets, and in two colors.
Specifications
Output
Output voltage
+5.1 V DC
Minimum load current
0 A
Nominal load current
3.0 A
Maximum power
15.3 W
Load regulation
±5 %
Line regulation
±2 %
Ripple & noise
120 mVp-p
Rise time
100 ms maximum to regulation limits for DC outputs
Turn-on delay
3000 ms maximum at nominal input AC voltage and full load
Protection
Short circuit protectionOvercurrent protectionOver temperature protection
Efficiency
81% minimum (output current from 100%, 75%, 50%, 25%)72% minimum at 10% load
Output cable
1.5 m 18AWG
Output connector
USB Type-C
Input
Voltage range
100-240 VAC (rated)96-264 VAC (operating)
Frequency
50/60 Hz ±3 Hz
Current
0.5 A maximum
Power consumption (no load)
0.075 W maximum
Inrush current
No damage shall occur, and the input fuse shall not blow
Operating ambient temperature
0-40°C
Ever wanted an automated house? Or a smart garden? The Arduino IoT Cloud compatible board Nicla Vision allows you to build your next smart project. You can connect devices, visualize data, control and share your projects from anywhere in the world.
Nicla Vision combines a powerful STM32H747AII6 Dual ARM Cortex M7/M4 IC processor with a 2 MP color camera that supports TinyML, as well as a smart 6-axis motion sensor, integrated microphone and distance sensor. You can easily include it into any project because it’s designed to be compatible with all Arduino Portenta and MKR products, fully integrates with OpenMV, supports MicroPython and also offers both WiFi and Bluetooth Low Energy connectivity. It’s so compact – with its 22.86 x 22.86 mm form factor – it can physically fit into most scenarios, and requires so little energy it can be powered by battery for standalone applications.
All of this makes Nicla Vision the ideal solution to develop or prototype with on-device image processing and machine vision at the edge, for asset tracking, object recognition, predictive maintenance and more – easier and faster than ever. Train it to spot details, so you can focus on the big picture.
Automate anything
Check every product is labeled before it leaves the production line; unlock doors only for authorized personnel, and only if they are wearing PPE correctly; use AI to train Nicla Vision to regularly check analog meters and beam readings to the Cloud; teach it to recognize thirsty crops and turn the irrigation on when needed.Anytime you need to act or make a decision depending on what you see, let Nicla Vision watch, decide and act for you.
Feel seen
Interact with kiosks with simple gestures, create immersive experiences, work with cobots at your side. Nicla Vision allows computers and smart devices to see you, recognize you, understand your movements and make your life easier, safer, more efficient, better.
Keep an eye out
Let Nicla Vision be your eyes: detecting animals on the other side of the farm, letting you answer your doorbell from the beach, constantly checking on the vibrations or wear of your industrial machinery. It’s your always-on, always precise lookout, anywhere you need it to be.
Downloads
Schematics
Datasheet
Grove Piezo Vibration Sensor is suitable for measurements of flexibility, vibration, impact and touch. The module is based on PZT film sensor LDT0-028. When the sensor moves back and forth, a certain voltage will be created by the voltage comparator inside of it.
Therefore, outputs high & low levels. In spite of the fact that it has a high receptivity for strong impacts, a wide dynamic range (0.001 Hz~1000 MHz) also guarantees excellent measuring performance. Finally, you can adjust its sensitivity by adjusting the potentiometer with a screw.
Features
Standard grove socket
Wide dynamic range:0.001 Hz~1000 MHz
Adjustable sensitivity
High receptivity for strong impact
Applications
Vibration Sensing in Washing Machine
Low Power Wake-up Switch
Low-Cost Vibration Sensing
Car Alarms
Body Movement
Security Systems
Downloads
Download Wiki PDF
Grove - Piezo Vibration Sensor Eagle File
Grove - Piezo Vibration Sensor Schematic PDF File
Grove - Piezo Vibration Sensor PCB PDF File
Piezo Vibration Sensor Datasheet
The GrovePi+ is an easy-to-use and modular system for hardware hacking with the Raspberry Pi, no need for soldering or breadboards: plug in your Grove sensors and start programming directly.
Grove is an easy-to-use collection of more than 100 inexpensive plug-and-play modules that sense and control the physical world. By connecting Grove Sensors to Raspberry Pi, it empowers your Pi in the physical world. With hundreds of sensors to choose from Grove families, the possibilities for interaction are endless.
Set-up in 4 simple steps
Slip the GrovePi+ board over your Raspberry Pi
Connect the Grove modules to the GrovePi+ board
Upload your program to Raspberry Pi
Begin taking in the world data
Grove is a modular electronic platform for quick prototyping. Every module has one function, such as touch sensing, creating audio effect and so on. Just plug the modules you need to the base shield, then you are ready to test your idea buds.
This Grove Starter Kit for Arduino is upgraded version of our Grove Starter Kit plus. Frequently used modules have been included in this kit to help you create your concept.
The changes
Optimize the internal slot structure, using technology to make our products inside plastic boxes more regularized, more protective.
Upgrade Instructions for creative poster form, more streamlined and intuitive description for each Grove-Sensor.
Grove-LED increased from three separate PCBA into a. But will still provide three different colors of LED light bulbs for you.
To consider the overall playability of the product experience, we optimized the two Grove-Sensors. Grove-Sound Sensor upgrade to V1.2; Grove-Temperature Sensor upgrade to the new SMD V1.1.
Data line upgrade from 24AWG Grove Cable is 26 AWG Grove Cable, wire length is adjusted to the length of 200mm unified model, the number was adjusted to 10.
Screen perfect upgrade for the Grove-LCD RGB Backlight, color screen makes further enhanced playability experience.
Included
1x Base Shield
1x Grove LCD RGB Backlight
1x Grove Smart Relay
1x Grove Buzzer
1x Grove Sound Sensor
1x Grove Touch Sensor
1x Grove Rotary Angle Sensor
1x Grove Temperature Sensor
1x Grove LED
1x Grove Light Sensor
1x Grove Button
1x DIP LED Blue-Blue
1x DIP LED Green-Green
1x DIP LED Red-Red
1x Mini Servo
10x Grove Cables
1x 9 V to Barrel Jack Adapter
1x Grove starter kit Manual
1x Green Plastic Box
Downloads
Schematic (PDF)
Schematic (Eagle)
Grove Button Source File
Grove LED Source File
Grove Buzzer Source File
Grove Rotary Angle Sensor Source File
Grove Relay Source File
Base Shield Source File
Grove Sound Sensor Source File
Grove Buzzer Source File
The LuckFox Pico Ultra is a compact single-board computer (SBC) powered by the Rockchip RV1106G3 chipset, designed for AI processing, multimedia, and low-power embedded applications.
It comes equipped with a built-in 1 TOPS NPU, making it ideal for edge AI workloads. With 256 MB RAM, 8 GB onboard eMMC storage, integrated WiFi, and support for the LuckFox PoE module, the board delivers both performance and versatility across a wide range of use cases.
Running Linux, the LuckFox Pico Ultra supports a variety of interfaces – including MIPI CSI, RGB LCD, GPIO, UART, SPI, I²C, and USB – providing a simple and efficient development platform for applications in smart home, industrial control, and IoT.
Specifications
Chip
Rockchip RV1106G3
Processor
Cortex-A7 1.2 GHz
Neural Network Processor (NPU)
1 TOPS, supports int4, int8, int16
Image Processor (ISP)
Max input 5M @30fps
Memory
256 MB DDR3L
WiFi + Bluetooth
2.4GHz WiFi-6 Bluetooth 5.2/BLE
Camera Interface
MIPI CSI 2-lane
DPI Interface
RGB666
PoE Interface
IEEE 802.3af PoE
Speaker interface
MX1.25 mm
USB
USB 2.0 Host/Device
GPIO
30 GPIO pins
Ethernet
10/100M Ethernet controller and embedded PHY
Default Storage Medium
eMMC (8 GB)
Included
1x LuckFox Pico Ultra W
1x LuckFox PoE module
1x IPX 2.4G 2 db antenna
1x USB-A to USB-C cable
1x Screws pack
Downloads
Wiki
This book is about advanced programming of the Raspberry Pi computer using the Python programming language. The book explains in simple terms and with examples:
How to configure the Raspberry Pi computer;
How to install and use the Linux operating system and the desktop;
How to write advanced programs using the Python programming language;
How to use graphics in our programs;
How to develop hardware based projects using the Raspberry Pi.
The book starts with an introduction to the Raspberry Pi computer and covers the topics of purchasing all the necessary accessories and installing and operating the Linux operating system in command mode. The network interface of the RPi is explained in simple steps, demonstrating how the computer can be accessed remotely from a desktop or a laptop computer.
The remaining parts of the book cover the Python programming language in detail, including advanced topics such as operating system calls, multitasking, interprocess synchronization and interprocess communication techniques. The important topic of network programming using UDP and TCP protocols is described with working examples. The Tkinter graphical user interface module (GUI) is described in detail with example widgets and programs.
The last part of the book includes hardware projects based on using the advanced programming topics such as multitasking and interprocess communication techniques. All the projects given in the book have been fully tested and are working. Complete program listings of all projects are provided with detailed explanations.
The HT-M00 is a dual-channel gateway that is specifically designed to cater to smart family LoRa applications that work with less than 30 LoRa nodes. The gateway has been built around two SX1276 chips that are driven by ESP32. To enable monitoring of 125 KHz SF7~SF12 spreading factor, a software mixer has been developed, which is commonly referred to as a baseband simulation program.
The software mixer is a critical component that enables the HT-M00 gateway to operate with high efficiency. It is designed to simulate baseband signals, which are then mixed with the radio frequency signals to produce the desired output. The software mixer has been developed with great care and precision, and has undergone rigorous testing to ensure that it is capable of delivering accurate and reliable results.
Features
ESP32 + SX1276
Emulates LoRa demodulators
Automatic adaptive spread spectrum factor, SF7 to SF12 for each channel is optional
Maximum output: 18 ±1dBm
Support for LoRaWAN Class A, Class C protocol
Specifications
MCU
ESP32-D0WDQ6
LoRa Chipset
SX1276
LoRa Band
863~870 MHz
Power Supply Voltage
5 V
Receiving Sensitivity
-110 dBm @ 300 bps
Interface
USB-C
Max. TX Power
17dB ±1dB
Operating Temperature
−20~70°C
Dimensions
30 x 76 x 14 mm
Included
1x HT-M00 Dual Channel LoRa Gateway
1x Wall bracket
1x USB-C cable
Downloads
Manual
Software
Documentation
THSER102 is a plug-and-play cable extension kit for Raspberry Pi Camera Modules. The kit is compatible with Raspberry Pi Camera Module 3, in addition to Camera V2 (version 2.1), HQ/Global Shutter Camera, and defined modes of the Raspberry Pi Camera Module V1.3. The THSER102 extends the cable length for >10 meters between the Raspberry Pi Camera Module and the Computer with a standard LAN Cable. There is no need for software or coding. THSER102 works as if the Raspberry Pi Camera were directly connected to the computer. The THSER102 also supports advanced applications. HAT on HAT support allows to use another HAT board on top of THSER102 Rx Board. 3ch GPIO Extension allows extending GPIO communication between the camera location and the computer. Features Supporting all Raspberry Pi Camera Modules including Camera Module 3 >10-meter Cable Extension Plug and Play No software configuration is needed. Camera works as if THSER102 not exists. Advanced Applications Supported HAT on HAT 3ch GPIO Extension Included 1x Tx Board 1x Rx Board 1x LAN Cable (2 m) 2x Flat Flex Cables 1x Pin Header 6x Mounting Screws for Rx Board 3x Longer Spacers for Rx Board 4x Mounting screws for Tx Board (for Camera V2 only) 4x Shorter Spacers for Tx Board (for Camera V2 only) 4x Mounting Nuts for Tx Board (for Camera V2 only) Downloads Datasheet
The JOY-iT 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
The MKR IoT Carrier comes equipped with 5 RGB LEDs, 5 capacitive touch buttons, a colored display, IMU and a variety of quality sensors. It also features a battery holder for a 18650 Li-Ion battery, SD card holder and Grove connectors.
Data Capture: Map the environment around the carrier using the integrated temperature, humidity, and pressure sensors and collect data about movement using the 6 axis IMU and light, gesture, and proximity sensors. Easily add more external sensors to capture more data from more sources via the on-board Grove connectors (x3).
Data Storage: Capture and store all the data locally on an SD card, or connect to the Arduino IoT Cloud for real-time data capture, storage, and visualization.
Data Visualisation: Locally view real-time sensor readings on the built-in OLED Color Display and create visual or sound prompts using the embedded LEDs and buzzer.
Total Control: Directly control small-voltage electronic appliances using the onboard relays and the five tactile buttons, with the integrated display providing a handy on-device interface for immediate control.