The M12 Mount Lens (5 MP, 25 mm) is ideal for use with the Raspberry Pi HQ Camera Module, offering sharp and detailed imaging for a wide range of applications.

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The M12 mount lens (12 MP, 2.7 mm) is ideal for use with the Raspberry Pi HQ Camera Module, offering sharp and detailed imaging for a wide range of applications.

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M5Atom Joystick is a versatile programmable dual-joystick remote controller featuring the AtomS3 as the main controller, with an STM32 handling co-processing functions. It is equipped with two 5-way joysticks with hall sensors, two function buttons, and built-in RGB LEDs for human-machine interaction and status indication. The device includes two high-voltage battery charging circuits. It comes pre-loaded with the Stamp Fly control firmware and communicates with Stamp Fly via the ESP-NOW protocol. The firmware source code is open-source. This product is suitable for drone control, robot control, smart cars, and various DIY projects. Applications Drone control Robot control Smart cars DIY projects Features STM32F030F4P6 Equipped with M5AtomS3 Compatible with Atom Lite, Atom Matrix, AtomS3 Lite, AtomS3 Dual joysticks, dual buttons, toggle switch WS2812 RGB LEDs Dual high-voltage lithium battery charging circuits Battery detection Specifications MCU STM32F030F4P6 RGB WS2812C Charging IC TP4067 @ 4.35 V Battery 300 mAh Charging Current 500 mA Button Left/Right Button Buzzer Built-in Passive Buzzer @ 5020 Operating temperature 0-40°C Dimensions 84 x 60 x 31.5 mm Weight 63.5 g Included 1x Atom JoyStick 1x 300 mAh high-voltage Lithium battery Downloads Documentation

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ATOM U is a compact low-power consumption speech recognition IoT development kit. It adopts an ESP32 chipset, equipped with 2 low-power Xtensa 32-bit LX6 microprocessors with the main frequency of up to 240 MHz. Built-in USB-A interface, IR emitter, programmable RGB LED. Plug-and-play, easy to upload and download programs. Integrated Wi-Fi and digital microphone SPM1423 (I2S) for the clear sound record. suitable for HMI, Speech-to-Text (STT). Low-code development ATOM U supports UIFlow graphical programming platform, scripting-free, cloud push; Fully compatible with Arduino, MicroPython, ESP32-IDF, and other mainstream development platforms, to quickly build various applications. High integration ATOM U contains a USB-A port for programming/power supply, IR emitter, programmable RGB LED x1, button x1; Finely tuned RF circuit, providing stable and reliable wireless communication. Strong expandability ATOM U is easy access to M5Stack's hardware and software system. Features ESP32-PICO-D4 (2.4GHz Wi-Fi dual mode) Integrated programmable RGB LED and button Compact design Built-in IR emitter Expandable pinout and GROVE port Development platform: UIFlow MicroPython Arduino Specifications ESP32-PICO-D4 240MHz dual core, 600 DMIPS, 520KB SRAM, 2.4G Wi-Fi Microphone SPM1423 Microphone sensitivity 94 dB SPL@1 KHz Typical value: -22 dBFS Microphone signal-to-noise ratio 94 dB SPL@1 KHz, A-weighted Typical value: 61.4 dB Standby working current 40.4 mA Support input sound frequency 100 Hz ~ 10 KHz Support PDM clock frequency 1.0 ~ 3.25 MHz Weight 8.4 g Product size 52 x 20 x 10 mm Downloads Documentation

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The M5Stack Core Ink Development Kit is a new E-Ink display that uses an ESP32-Pico-D4 to take advantage of the benefits of the E-Ink technology. E-Ink displays are easier on the eyes, have extremely low power consumption and can retain an image even after they have run out of power. Features ESP32 Standard wireless functions WiFi, Bluetooth Internal 4M Flash Low Power Display 180-degree viewing angle Expansion ports Built-in Magnet Internal Battery Multi-function button Status LED Buzzer Deep Sleep functionality Applications IoT Terminal E-Book Industrial Control Panel Electronic Tag Included 1x CoreInk 1x LiPo 390 mAh 1x Type-C USB(20cm) Please note: avoid long-time high-frequency refresh when using it. The recommended refresh interval is (15s/time). Do not expose to ultraviolet rays for a long time, otherwise, it may cause irreversible damage to the ink screen.

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The M5Stack Proto Board is used as a Core Extensions feature. Suitable with Arduino and ESP32.

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OV7740 is a AI Camera powered by Kendryte K210, an edge computing system-on-chip(SoC) with a dual-core 64bit RISC-V CPU and state-of-art neural network processor. Features Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal) Dual Independent Double Precision FPU 8MiB 64bit width On-Chip SRAM Neural Network Processor(KPU) / 0.8Tops Field-Programmable IO Array (FPIOA) AES, SHA256 Accelerator Direct Memory Access Controller (DMAC) Micropython Support Firmware encryption support On-board Hardware: Flash: 16M Camera :OV7740 2x Buttons Status Indicator LED External storage: TF card/Micro SD Interface: HY2.0/compatible GROVE Applications Face recognition/detection Object detection/classification Obtain the size and coordinates of the target in real-time Obtain the type of detected target in real-time Shape recognition Video recorder Included 1x UNIT-V(include 20cm 4P cable and USB-C cable)

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The M5Stack Watering Unit integrates water pump and measuring plates for soil moisture detection and pump water control. It can be used for intelligent plant breeding scenarios and can easily achieve humidity detection and Irrigation control. The measurement electrode plate uses the capacitive design, which can effectively avoid the corrosion problem of the electrode plate in actual use compared with the resistive electrode plate. Features Capacitive measuring plate (corrosion resistant) Integrated 5 W power water pump LEGO compatible holes Applications Plant cultivation Soil moisture detection Smart irrigation Included 1x Watering Unit 2x Suction pipe 1x HY2.0-4P cable Pump power 5 W Weight 78 g Dimensions 192.5 x 24 x 33 mm

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M5Stamp Fly is a programmable open-source quadcopter, featuring the StampS3 as the main controller. It integrates a BMI270 6-axis gyroscope and a BMM150 3-axis magnetometer for attitude and direction detection. The BMP280 barometric pressure sensor and two VL53L3 distance sensors enable precise altitude hold and obstacle avoidance. The PMW3901MB-TXQT optical flow sensor provides displacement detection. The kit includes a buzzer, a reset button, and WS2812 RGB LEDs for interaction and status indication. It is equipped with a 300 mAh high-voltage battery and four high-speed coreless motors. The PCB features an INA3221AIRGVR for real-time current/voltage monitoring and has two Grove connectors for additional sensors and peripherals. Preloaded with debugging firmware, the Stamp Fly can be controlled using an Atom Joystick via the ESP-NOW protocol. Users can choose between automatic and manual modes, allowing for easy implementation of functions like precise hovering and flips. The firmware source code is open-source, making the product suitable for education, research, and various drone development projects. Applications Education Research Drone development DIY projects Features M5StampS3 as the main controller BMP280 for barometric pressure detection VL53L3 distance sensors for altitude hold and obstacle avoidance 6-axis attitude sensor 3-axis magnetometer for direction detection Optical flow detection for hovering and displacement detection Buzzer 300 mAh high-voltage battery Current and voltage detection Grove connector expansion Specifications M5StampS3 ESP32-S3@Xtensa LX7, 8 MB Flash, WiFi, OTG\CDC support Motor 716-17600kv Distance Sensor VL53L3CXV0DH/1 (0x52) @ max 3 m Optical Flow Sensor PMW3901MB-TXQT Barometric Sensor BMP280 (0x76) @ 300-1100hPa 3-axis Magnetometer BMM150 (0x10) 6-axis IMU Sensor BMI270 Grove I²C+UART Battery 300mAh 1S high-voltage lithium battery Current/Voltage Detection INA3221AIRGVR (0x40) Buzzer Built-in Passive Buzzer @ 5020 Operating temperature 0-40°C Dimensions 81.5 x 81.5 x 31 mm Weight 36.8 g Included 1x Stamp Fly 1x 300 mAh high-voltage Lithium battery Downloads Documentation

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Most people are increasingly confronted with the applications of Artificial Intelligence (AI). Music or video ratings, navigation systems, shopping advice, etc. are based on methods that can be attributed to this field. The term Artificial Intelligence was coined in 1956 at an international conference known as the Dartmouth Summer Research Project. One basic approach was to model the functioning of the human brain and to construct advanced computer systems based on this. Soon it should be clear how the human mind works. Transferring it to a machine was considered only a small step. This notion proved to be a bit too optimistic. Nevertheless, the progress of modern AI, or rather its subspecialty called Machine Learning (ML), can no longer be denied. In this book, several different systems will be used to get to know the methods of machine learning in more detail. In addition to the PC, both the Raspberry Pi and the Maixduino will demonstrate their capabilities in the individual projects. In addition to applications such as object and facial recognition, practical systems such as bottle detectors, person counters, or a “talking eye” will also be created. The latter is capable of acoustically describing objects or faces that are detected automatically. For example, if a vehicle is in the field of view of the connected camera, the information 'I see a car!' is output via electronically generated speech. Such devices are highly interesting examples of how, for example, blind or severely visually impaired people can also benefit from AI systems.

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This is a set of five magnetic, telescopic whip antennas – with 100 MHz to 1 GHz tuning range – that can be used with KrakenSDR for direction finding. The magnets are strong and will be secure on the roof of a moving car. It includes a set of five two-meter, LMR100-equivalent coax cables that have been length matched for better performance.

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If you’re looking for a simple way to start soldering or just want to make your own Dasduino, this soldering set is a great opportunity. "Make your own Dasduino CORE" is an educational set for learning the skill of soldering, with which you end up with a functional microcontroller board. As with the other SMD versions of the Dasduino CORE boards we offer, the possibilities are endless. It is based on the ATmega328P microcontroller, and all SMD components are already soldered on the board. The set also includes a THT socket for the microcontroller, which simplifies the replacement of the microcontroller should it ever become necessary. Included 1x PCB 7x Capacitors (100nF) 4x Capacitors (2.2uF) 2x Capacitors (22pF) 5x Resistors (2.2 kOhm) 5x Resistors (10 kOhm) 3x Resistors (1 kOhm) 1x Resistor (100 kOhm) 1x Resistor (100 ohm) 1x JST battery connector 1x LED (purple) 1x LED (white) 1x LED (blue) 1x LED (red) 1x LED (orange) 1x Socket for ATmega328P 1x ATmega328P microcontroller

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Learn how to use the ESP32 Microcontroller and MicroPython programming in your future projects! The project book, written by well-known Elektor author Dogan Ibrahim, holds many software- and hardware-based projects especially developed for the MakePython ESP32 Development Kit. The kit comes with several LEDs, sensors, and actuators. The kit will help you acquire the basic knowledge to create IoT projects. The book’s fully evaluated projects feature all the supplied components. Each project includes a block diagram, a circuit diagram, a full program listing, and a complete program description. Included in the kit 1x MakePython ESP32 development board with color LCD 1x Ultrasonic ranging module 1x Temperature and humidity sensor 1x Buzzer module 1x DS18B20 module 1x Infrared module 1x Potentiometer 1x WS2812 module 1x Sound sensor 1x Vibration sensor 1x Photosensitive resistance module 1x Pulse sensor 1x Servo motor 1x USB cable 2x Button 2x Breadboard 45x Jumper wire 10x Resistor 330R 10x LED (Red) 10x LED (Green) 1x Project book (206 pages) 46 Projects in the Book LED Projects Blinking LED Flashing SOS Blinking LED – using a timer Alternately flashing LEDs Button control Changing the LED flashing rate using pushbutton interrupts Chasing-LEDs Binary-counting LEDs Christmas lights (random-flashing 8 LEDs) Electronic dice Lucky day of the week Pulsewidth Modulation (PWM) Projects Generate a 1000-Hz PWM waveform with 50% duty cycle LED brightness control Measuring the frequency and duty cycle of a PWM waveform Melody maker Simple electronic organ Servo motor control Servo motor DS18B20 thermometer Analog To Digital Converter (ADC) Projects Voltmeter Plotting the analog input voltage ESP32 internal temperature sensor Ohmmeter Photosensitive resistance module Digital To Analog Converter (DAC) Projects Generating fixed voltages Generating a sawtooth-wave signal Generating a triangular-wave signal Arbitrary periodic waveform Generating a sinewave signal Generating accurate sinewave signal using timer interrupts Using The OLED Display Seconds counter Event counter DS18B20 OLED based digital thermometer ON-OFF temperature controller Measuring the temperature and humidity Ultrasonic distance measurement Height of a person (stadiometer) Heart rate (pulse) measurement Other Sensors Supplied with the Kit Theft alarm Sound-activated light Infrared obstacle avoidance with buzzer WS2812 RGB LED ring Timestamping temperature and humidity readings Network Programming Wi-Fi scanner Remote control from the Internet browser (using a smartphone or PC) – Web Server Storing temperature and humidity data in the Cloud Low-Power Operation Using a timer to wake up the processor

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This NVMe M.2 2242 SSD (128 GB) is already pre-installed with Raspberry Pi OS for immediate use with the Raspberry Pi 5 M.2 HAT+. Features Form factor: M.2 2242 M-Key NVMe SSD Pre-loaded with Raspberry Pi OS High level of ability to endure shock, vibration, and high temperature SMART TRIM support PCIe Interface: PCIe Gen3 x2 Compliance: NVMe 1.3, PCI Express Base 3.1 Capacity: 128 GB Speed: Read: Up to 1700 MB/s Write: Up to 600 MB/s Shock: 1500 G/0.5 ms Operation temperature: 0°C-70°C Up to 30x faster than a typical hard disk drive Boosts burst write performance, making it ideal for typical computer workloads Faster boot-up, shutdown, application load, and response for Raspberry Pi Downloads Datasheet

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Use your Raspberry Pi with LTE Cat-4 4G/3G/2G Communication & GNSS Positioning, for remote data transmission/phone/SMS, suitable for remote area monitoring/alarming. This 4G hat is based on the Maduino Zero 4G LTE, but without any controller. It needs to work with Raspberry Pi (2x20 connector and USB). The Raspberry communicate with this HAT with simple AT commands (via the TX/RX Pins in the 2X20 connector) for simple controls, such as SMS/Phone/GNSS; with the USB connecting and proper Linux driver installed, the 4G hat act as a 4G network adapter, that can access to the Internet and transmit data with 4G protocol. Compares to normal USB 4G dongle, this Raspberry Pi 4G Hat has the following advantages: Onboard Audio codec, that you can have a call directly with your RPI, or auto broadcasting with a loudspeaker; Hardware UART communication, hardware controlling of Power(by 2s pulse of PI GPIO or POWERKEY button), hardware controlling of flight mode; Dual LTE 4G antenna, plus GPS antenna Features LTE Cat-4, with uplink rate 50 Mbps and downlink rate 150 Mbps GNSS Positioning Audio Driver NAU8810 Supports dial-up, phone, SMS, TCP, UDP, DTMF, HTTP, FTP, and so on Supports GPS, BeiDou, Glonass, LBS base station positioning SIM card slot, supports 1.8V/3V SIM card Onboard audio jack and audio decoder for making a telephone call 2x LED indicators, easy to monitor the working status Supports SIM application toolkit: SAT Class 3, GSM 11.14 Release 99, USAT Included 1x 4G LTE Hat For Raspberry Pi 1x GPS antenna 2x 4G LTE antenna 2x Standoff Downloads GitHub

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Raspberry Pi Pico is a great solution for servo control. With the hardware PIO, the Pico can control the servos by hardware, without usage of times/ interrupts, and limit the usage of the MCU. Driving the six servos on this robotic arm takes very little MCU capacity, so the MCU can deal with other tasks easily. This 6 DOF robotic arm is a handy tool for teaching and learning robotics and Pico usage. There are five MG996s (four are needed in the assembly and one for backup) and three 25-kg servos (two needed in the assembly and one for backup). Note that for the servos the angle ranges from 0° to 180°. All the servos need to be preset to 90° (with logic HIGH 1.5 ms duty) before the assembly to avoid servo damage during movement. This product includes all the necessary items needed to create a robotic arm based on Pico and Micropython. Included 1x Raspberry Pi Pico 1x Raspberry Pi Pico Servo Driver 1x Set '6 DOF Robot Arm' 1x 5 V/5 A Power Supply 2x Backup Servo Downloads GitHub Wiki Assembly Guide Assembly Video

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This is a simple DIY kit using Makerfabs' ESP32-S3 3.5" Parallel TFT with Touch (320x480) and Mabee MLX90640 module to monitor the temperature and display on the screen or save to SD card. It is a nice tool for circuit testing and non-contact temperature sensing. Features Based on ESP32-S3, 3.5-inch TFT with capacitive touch Auto check the highest temperature point Temperature accuracy: <1°C Suitable for applications such as human temperature checking or electronic boards debugging All hardware & software are open, users can modify & add more functions, such WiFi/Bluetooth data transmitting Downloads Default firmware New remote monitoring firmware Blog

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With these jumper wires (length: 20 cm) you can connect a Raspberry Pi or an Arduino with breadboards. Each cable consists of 40 individual wires/pins which can also be separated. Included 1x 40-pins female to female 1x 40-pins male to male 1x 40-pins male to female

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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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