The EC200U-EU C4-P01 development board features the EC200U-EU LTE Cat 1 wireless communication module, offering a maximum data rate of up to 10 Mbps for downlink and 5 Mbps for uplink. It supports multi-mode and multi-band communication, making it a cost-effective solution. The board is designed in a compact and unified form factor, compatible with the Quectel multi-mode LTE Standard EC20-CE. It includes an onboard USB-C port, allowing for easy development with just a USB-C cable. Additionally, the board is equipped with a 40-pin GPIO header that is compatible with most Raspberry Pi HATs. Features Equipped with EC200U-EU LTE Cat 1 wireless communication module, multi-mode & multi-band support Onboard 40-Pin GPIO header, compatible with most Raspberry Pi HATs 5 LEDs for indicating module operating status Supports TCP, UDP, PPP, NITZ, PING, FILE, MQTT, NTP, HTTP, HTTPS, SSL, FTP, FTPS, CMUX, MMS protocols, etc. Supports GNSS positioning (GPS, GLONASS, BDS, Galileo, QZSS) Onboard Nano SIM card slot and eSIM card slot, dual card single standby Onboard MIPI connector for connecting MIPI screen and is fully compatible with Raspberry Pi peripherals Onboard camera connector, supports customized SPI cameras with a maximum of 300,000 pixels Provides tools such as QPYcom, Thonny IDE plugin, and VSCode plugin, etc. for easy learning and development Comes with online development resources and manual (example in QuecPython) Specifications Applicable Regions Europe, Middle East, Africa, Australia, New Zealand, Brazil LTE-FDD B1, B3, B5, B7, B8, B20, B28 LTE-TDD B38, B40, B41 GSM / GPRS / EDGE GSM: B2, B3, B5, B8 GNSS GPS, GLONASS, BDS, Galileo, QZSS Bluetooth Bluetooth 4.2 (BR/EDR) Wi-Fi Scan 2.4 GHz 11b (Rx) CAT 1 LTE-FDD: DL 10 Mbps; UL 5 Mbps LTE-TDD: DL 8.96 Mbps; UL 3.1 Mbps GSM / GPRS / EDGE GSM: DL 85.6 Kbps; UL 85.6 Kbps USB-C Port Supports AT commands testing, GNSS positioning, firmware upgrading, etc. Communication Protocol TCP, UDP, PPP, NITZ, PING, FILE, MQTT, NTP, HTTP, HTTPS, SSL, FTP, FTPS, CMUX, MMS SIM Card Nano SIM and eSIM, dual card single standby Indicator P01: Module Pin 1, default as EC200A-XX PWM0 P05: Module Pin 5, NET_MODE indicator SCK1: SIM1 detection indicator, lights up when SIM1 card is inserted SCK2: SIM2 detection indicator, lights up when SIM2 card is inserted PWR: Power indicator Buttons PWK: Power ON/OFF RST: Reset BOOT: Forcing into firmware burning mode USB ON/OFF: USB power consumption detection switch Antenna Connectors LTE main antenna + DIV / WiFi (scanning only) / Bluetooth antenna + GNSS antenna Operating Temperature −30~+75°C Storage Temperature −45~+90°C Downloads Wiki Quectel Resources

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This is a long-wave IR thermal imaging camera that adopts the hybrid technology of microbolometer and thermopile pixel, features 80x62 array pixels. It will detect the IR1 distribution of objects in the field of view, turn the data into surface temperature of the objects by calculation, and then generate thermal images, for easy integration into miscellaneous industrial or intelligent control applications. Features Adopts the hybrid technology of microbolometer and thermopile, 80x62 array pixels Continuous operation and thermal imaging video stream due to shutterless design Noise Equivalent Temperature Difference (NETD) 150mK RMS@1 Hz refresh rate Up to 25 fps (Max) thermal imaging video stream output Comes with online resources and manuals (Python demo for Raspberry Pi, Android/Windows host computer and user manual, etc.) Applications High precision long-term non-contact temperature online monitoring IR thermal imaging devices, IR thermometers Smart home, intelligent building, intelligent lighting Industrial temperature control, security & safety, intrude/motion detection Small Target Thermal Analysis, Heat Trend Analysis and Solutions Specifications Power supply 5 V Operating current 61 mA@5 V Wavelength range 8~14 μm Operating temperature -20~85°C Target temperature -20~400°C Refresh rate 25 fps (Max) FOV 45° x 45° (H x V) Noise equivalentTemperature diffenerence 150 mK Measuring accuracy ±2°C (ambient temp. 10~70°C) Dimensions 65.0 x 30.5 mm Included 1x Thermal Camera HAT 1x 40-pin female header 1x FPC 15-pin cable 0.3 mm pitch (100 mm) 1x Screws pack Downloads Wiki

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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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Grove 3-Axis Digital Accelerometer (LIS3DHTR) is a low-cost 3-Axis accelerometer in a bundle of Grove products. It is based on the LIS3DHTR chip which provides multiple ranges and interfaces selection. You can never believe that such a tiny 3-Axis accelerometer can support I²C, SPI, and ADC GPIO interfaces, which means you can choose any way to connect with your development board. Besides, this accelerometer can also monitor the surrounding temperature to tune the error caused by it. Features Measurement range: ±2g, ±4g, ±8g, ±16g, multiple ranges selection. Multiple interfaces option: Grove I²C interface, SPI interface, ADC interface. Temperature adjustable: able to adjust and tune the error caused by temperature. 3/5V power supply Specifications Power Supply 3/5V Interfaces IC/SPI/GPIO ADC I²C address Default 0x19, can be changed to 0x18 when connecting SDO Pin with GND ADC GPIO Power input 0-3.3V Interruption An interruption Pin reserved SPI Mode set up Connect the CS Pin with GND Included 1x Grove 3-Axis Digital Accelerometer (LIS3DHTR) 1x Grove cable Downloads LIS3DHTR Datasheet Hardware schematic Arduino Library

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This kit contains everything needed to start learning about connecting electronics to the micro:bit in an accessible and easy manner. Everything is connected using the supplied alligator clips, so no soldering required. Included MonkMakes Speaker for micro:bit MonkMakes Switch for micro:bit MonkMakes Sensor Board for micro:bit Set of alligator clip leads (10 leads) Small motor with fan Single AA battery box (battery not included) Light bulb and holder Booklet (A5) Downloads Instructions Datasheet Lesson Plans

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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

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The Intelligent Digital Thermostat Temperature Controller is a small switch controller (77x51mm) which allows you to create your own thermostat. With its NTC Sensor and its LED displays, you are able to switch up to 10A 220V depending on the measured temperature.

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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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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The AlertAlfred AI Security SystemPowered by a Raspberry Pi 5 and the Hailo 8L Module AI in Electronics DevelopmentAn Update After Only One Year Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Single-Board Computers for Artificial Intelligence ProjectsBackground and Overview From Sensor Data to Machine Learning ModelsGesture Detection with an Accelerometer and Edge Impulse Build a Leaky Integrate-and-Fire Spiking NeuronArtificial Intelligence Without Software ChatGPT for Electronic DesignDoes GPT-4o Do It Any Better? Bringing AI to the Edge with ESP32-P4 Exploring Speech Functions on Raspberry Pi ZeroWhen Overclocking Gives Freedom of Speech The Growing Role of Edge AIA Trend Shaping the Future Unlocking the Power of Edge AIA Conversation with François de Rochebouët of STMicroelectronics A VHDL Clock Made with ChatGPT AI’s Real ImpactSayash Kapoor on “AI Snake Oil” and More The Latest Stuff From BeagleBoardBeagleY-AI, BeagleV-Fire, BeagleMod, BeaglePlay and BeagleConnect Freedom Mosquito Detection Using Open Datasets and Arduino Nicla Vision AI Today and Tomorrow: Insights from Espressif, Arduino, and SparkFun Artificial Intelligence Timeline BeagleY-AIThe Latest SBC for AI Applications AI in FocusPerspectives from the Elektor Community Machine Vision with OpenMVCreate a Soda Can Detector A Conversation with the Digital MindChatGPT vs Gemini Skilling Me Softly with This Bot?Is the AI Revolution in the Electronic Field Failing Due to a Lack of Social Precision?

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Learn the basics of electronics by assembling manually your Arduino Uno, become familiar with soldering by mounting every single component, and then unleash your creativity with the only kit that becomes a synth! The Arduino Make-Your-Uno kit is really the best way to learn how to solder. And when you are done, the packaging allows you to build a synth and make your music. A kit with all the components to build your very own Arduino Uno and audio synthesizer shield. The Make-Your-Uno kit comes with a complete set of instructions in a dedicated content platform. This includes video material, a 3D interactive viewer for following detailed instructions, and how to program your board once it is finished. This kit contains: Arduino Make-Your-Uno 1x Make-Your-Uno PCB 1x USB C Serial adapter Board 7x Resistors 1k Ohm 2x Resistors 10k Ohm 2x Resistors 1M Ohm 1x Diode (1N4007) 1x 16 MHz Crystal 4x Yellow LEDs 1x Green LED 1x Push-Button 1x MOSFET 1x LDO (3.3 V) 1x LDO (5 V) 3x Ceramic capacitors (22pF) 3x Electrolytic capacitors (47uF) 7x Polyester capacitors (100nF) 1x Socket for ATMega 328p 2x I/O Connectors 1x Connector header 6 pins 1x Barrel jack connector 1x ATmega 328p Microcontroller Arduino Audio Synth 1x Audio Synth PCB 1x Resistor 100k Ohm 1x Resistor 10 Ohm 1x Audio amplifier (LM386) 1x Ceramic capacitors (47nF) 1x Electrolytic capacitors (47uF) 1x Electrolytic capacitors (220uF) 1x Polyester capacitor (100nF) 4x connectors pin header 6x potentiometer 10k Ohm with plastic knobs Spare parts 2x Electrolytic capacitors (47uF) 2x Polyester capacitor (100nF) 2x Ceramic capacitors (22pF) 1x Push-Button 1x Yellow LEDs 1x Green LED Mechanical parts 5x Spacers 12 mm 11x Spacers 6 mm 5x screw nuts 2x screws 12 mm

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Quickly and easily get started with learning electronics using the Arduino Uno Starter Kit, which have a universal appeal to fans at home, businesses, and schools alike. No prior experience is required, as the kits introduce both coding and electronics through fun, engaging, and hands-on projects. You can use the starter kit to teach students about current, voltage, and digital logic as well as the fundamentals of programming. There’s an introduction to sensors and actuators and how to understand both digital and analog signals. Within all this, you’ll be teaching students how to think critically, learn collaboratively, and solve problems. Projects Book GET TO KNOW YOUR TOOLS an introduction to the basics SPACESHIP INTERFACE design the control panel for your starship LOVE-O-METER measure how hot-blooded you are COLOR MIXING LAMP produce any colour with a lamp that uses light as an input MOOD CUE clue people into how you're doing LIGHT THEREMIN create a musical instrument you play by waving your hands KEYBOARD INSTRUMENT play music and make some noise with this keyboard DIGITAL HOURGLASS a light-up hourglass that can stop you from working too much MOTORIZED PINWHEEL a coloured wheel that will make your head spin ZOETROPE create a mechanical animation you can play forward or reverse CRYSTAL BALL a mystical tour to answer all your tough questions KNOCK LOCK tap out the secret code to open the door TOUCHY-FEEL LAMP a lamp that responds to your touch TWEAK THE ARDUINO LOGO control your personal computer from your Arduino HACKING BUTTONS create a master control for all your devices! Included 1x Projects Book (170 pages) 1x Arduino Uno 1x USB cable 1x Breadboard 400 points 70x Solid core jumper wires 1x Easy-to-assemble wooden base 1x 9 V battery snap 1x Stranded jumper wires (black) 1x Stranded jumper wires (red) 6x Phototransistor 3x Potentiometer 10 kΩ 10x Pushbuttons 1x Temperature sensor [TMP36] 1x Tilt sensor 1x alphanumeric LCD (16x2 characters) 1x LED (bright white) 1x LED (RGB) 8x LEDs (red) 8x LEDs (green) 8x LEDs (yellow) 3x LEDs (blue) 1x Small DC motor 6/9 V 1x Small servo motor 1x Piezo capsule 1x H-bridge motor driver 1x Optocouplers 2x Mosfet transistors 3x Capacitors 100 uF 5x Diodes 3x Transparent gels 1x Male pins strip (40x1) 20x Resistors 220 Ω 5x Resistors 560 Ω 5x Resistors 1 kΩ 5x Resistors 4.7 kΩ 20x Resistors 10 kΩ 5x Resistors 1 MΩ 5x Resistors 10 MΩ

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The Arduino Pro Portenta Vision Shield brings industry-rated features to your Portenta. This hardware add-on will let you run embedded computer vision applications, connect wirelessly or via Ethernet to the Arduino Cloud or your own infrastructure, and activate your system upon the detection of sound events. Features 324x324 pixels camera sensor: use one of the cores in Portenta to run image recognition algorithms using the OpenMV for Arduino editor 100 Mbps Ethernet connector: get your Portenta H7 connected to the wired Internet 2 onboard microphones for directional sound detection: capture and analyse sound in real-time JTAG connector: perform low-level debugging of your Portenta board or special firmware updates using an external programmer SD-Card connector: store your captured data in the card, or read configuration files The Vision Shield has been designed to fit on top of the Arduino Portenta family. The Portenta boards feature multicore 32-bit ARM Cortex processors running at hundreds of megahertz, with megabytes of program memory and RAM. Portenta boards come with WiFi and Bluetooth. Embedded Computer Vision Made Easy Arduino has teamed up with OpenMV to offer you a free license to the OpenMV IDE, an easy way into computer vision using MicroPython as a programming paradigm. Download the OpenMV for Arduino Editor from our professional tutorials site and browse through the examples we have prepared for you inside the OpenMV IDE. Companies across the whole world are already building their commercial products based on this simple-yet-powerful approach to detect, filter, and classify images, QR codes, and others. Debugging With Professional Tools Connect your Portenta H7 to a professional debugger through the JTAG connector. Use professional software tools like the ones from Lauterbach or Segger on top of your board to debug your code step by step. The Vision Shield exposes the required pins for you to plug in your external JTAG. Camera Himax HM-01B0 camera module Resolution 320 x 320 active pixel resolution with support for QVGA Image sensor High sensitivity 3.6μ BrightSense pixel technology Microphone 2 x MP34DT05 Length 66 mm Width 25 mm Weight 11 gr For more information, check out the tutorials provided by Arduino here.

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Temporary Delay in the Delivery of Unitree Robots Like many other suppliers, we are currently experiencing delays in the delivery of Unitree robots. A shipment from our supplier is currently held in customs, which has unfortunately led to later-than-planned deliveries for previously placed orders. We are actively working with our supplier to resolve this issue and expect more clarity soon, but at this time, we cannot provide any guarantees. Additionally, a new shipment is already on its way, though it will take some time to arrive. Since other suppliers are facing similar challenges, switching to a different provider is unlikely to result in a faster solution. Our top priority remains fulfilling existing orders. If you have any questions or would like to update your order, please do not hesitate to contact our customer service team. We will keep you informed of any further developments. Unitree Go2 series consists of quadruped robots for the research & development of autonomous systems in the fields of human-robot interaction (HRI), SLAM & transportation. Due to the four legs, as well as the 12DOF, this robot can handle a variety of different terrains. The Go2 comes with a perfected drive & power management system, which enables a speed (depending on the version) of up to 3.7 m/s or 11.88 km/h with an operating time of up to 4 hours. Furthermore, the motors have a torque of 45 N.m at the body/thighs and at the knees, which also allow jumps or backflips. Features Super Recognition System: 4D LIDAR L1 Max Running Speed: approx. 5 m/s Peak Joint Torque: approx. 45 N.m Wireless Module: WiFi 6/Bluetooth/4G Ultra-long battery Endurance: approx. 2-4 h (long battery life measured in real life) Intelligent Side-follow System: ISS 2.0 Specifications Tracking module: Remote-controlled or automatic tracking Front camera: Image tansmission Resolution 1280x720, FOV 120°, Ultra wide angle lens deliver rich clarity Front lamp: Brightly lights the way ahead 4D LiDAR L1: 360°x90° omnidirectional ultra-wide-angle scanning allows automatic avoidance with small blind spot and stable operation 12 knee joint motors: Strong and powerful, Beautiful and simple, Brandy new visual experience Intercom microphone: Effective communication with no scenario restrictions Self-retracting strap: Easy to carry and load things More stable, more powerful with advanced devices: 3D LiDAR, 4G ESIM Card, WiFi 6 with Dual-band, Bluetooth 5.2 for stable connection and remote control Powerful Computing Core: Motion controller, High-performance ARM processor, Improved Al algorithm processor, External ORIN NX/NANO Smart battery: Standard 8000 mAh battery, Long-endurance 15000 mAh battery, Protection from over-temp, overcharge and short-circuit Speaker for music play: Listen to music as your pleasure Unitree Go2 Variants The Go2 impresses not only with its technical capabilities, but also with a modern and slim design that gives it a futuristic look and makes it a real eye-catcher. The Go2 Air is specially designed for demos and presentations. With its basic features, it offers a solid basis for demonstrating the movement capabilities and functionality of a four-legged robot. Important: The Go2 Air is delivered without a controller. This can be purchased optionally. With a powerful 8-core high-performance CPU, the Pro and Edu offer impressive computing power required for complex tasks and demanding calculations. This enables faster and more efficient data processing and makes the Pro and Edu a reliable partner for your projects. From the Edu version onwards, the Go2 is programmable and opens up endless possibilities for developing and researching your own robotics applications. The Go2 is also able to handle a step height of up to 14 cm. This makes it an ideal tool for research, education and entry into the world of robotics. The Go2 Edu comes with a remote controller that gives you easy and intuitive control. You also get a docking station with impressive computing power of 100 TOPS, which is equipped with powerful AI algorithms and offers you technical support. Go2 Edu is equipped with a powerful 15000 mAh battery that gives it an impressive runtime of up to 4 hours. This long operating time allows the robot to carry out longer exploration missions and complete demanding tasks. Model Comparison Air Pro Edu/Edu Plus Dimensions (standing) 70 x 31 x 40 cm 70 x 31 x 40 cm 70 x 31 x 40 cm Dimensions (crouching) 76 x 31 x 20 cm 76 x 31 x 20 cm 76 x 31 x 20 cm Material Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Aluminium alloy + High strength engineering plastic Weight (with battery) about 15 kg about 15 kg about 15 kg Voltage 28~33.6 V 28~33.6 V 28~33.6 V Peaking capacity about 3000 W about 3000 W about 3000 W Payload ≈7 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 10 kg) ≈8 kg (MAX ~ 12 kg) Speed 0~2.5 m/s 0~3.5 m/s 0~3.7 m/s (MAX ~ 5 m/s) Max Climb Drop Height about 15 cm about 16 cm about 16 cm Max Climb Angle 30° 40° 40° Basic Computing Power N/A 8-core High-performance CPU 8-core High-performance CPU Aluminum knee joint motor 12 set 12 set 12 set Intra-joint circuit (knee) ✓ ✓ ✓ Joint Heat Pipe Cooler ✓ ✓ ✓ Range of Motion Body: −48~48° Body: −48~48° Body: −48~48° Thigh: −200°~90° Thigh: −200°~90° Thigh: −200°~90° Shank: −156°~−48° Shank: −156°~−48° Shank: −156°~−48° Max Torque N/A about 45 N.m about 45 N.m Super-wide-angle 3D LiDAR ✓ ✓ ✓ Wireless Vector Positioning Tracking Module N/A ✓ ✓ HD Wide-angle Camera ✓ ✓ ✓ Foot-end force sensor N/A N/A ✓ Basic Action ✓ ✓ ✓ Auto-scaling strap N/A ✓ N/A Upgraded Intelligent OTA ✓ ✓ ✓ RTT 2.0 Image Transmission ✓ ✓ ✓ App Basic Remote Control ✓ ✓ ✓ App Data Viewing ✓ ✓ ✓ App Graphical Programme ✓ ✓ ✓ Front Lamp (3 W) ✓ ✓ ✓ WiFi 6 with Dual-band ✓ ✓ ✓ Bluetooth 5.2/4.2/2.1 ✓ ✓ ✓ 4G Module N/A CN/GB CN/GB Voice Function N/A ✓ ✓ Music Playback N/A ✓ ✓ ISS 2.0 Intelligent side-follow system N/A ✓ ✓ Intelligent detection and avoidance ✓ ✓ ✓ Secondary development N/A N/A ✓ Manual controller Optional Optional ✓ High computing power module N/A N/A Edu: 40 TOPS computing power Edu Plus: 100 TOPS computing power NVIDIA Jetson Orin (optional) Smart Battery Standard (8000 mAh) Standard (8000 mAh) Long endurance (15000 mAh) Battery Life 1-2 h 1-2 h 2-4 h Charger Standard (33.6 V, 3.5 A) Standard (33.6 V, 3.5 A) Fast charge (33.6 V, 9 A) Included 1x Unitree Go2 Pro 1x Unitree Go2 Battery (8000 mAh) Downloads Documentation iOS/Android apps GitHub

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The Soldered CONNECT Programmer is designed to make programming boards based on ESP8266 and ESP32 microcontrollers extremely simple. It contains all the necessary electronics and logic, allowing programming to be done by simply plugging a USB cable into the CONNECT Programmer and connecting it to the programming header. The onboard circuitry handles timing and signal sequencing automatically, placing the ESP microcontroller into bootloader mode without the need for manual intervention. Features IC: CH340 Pin layout: GPIO0, RESET, RX, TX, 3V3, GND LEDs: RX, TX, power Interface: USB-C Dimensions: 38 x 22 mm Downloads Datasheet GitHub

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Are you tired of all the different Arduino boards, and having to choose which features you need? Wouldn't it be much simpler to have all the best features on the same board and not have to compromise? That is precisely what the people at SparkFun thought and delivered the fantastic SparkFun RedBoard Programmed with Arduino. Features ATmega328 microcontroller with Optiboot (UNO) Bootloader Input voltage: 7-15 V 0-5 V outputs with 3.3 V compatible inputs 6 Analog Inputs 14 Digital I/O Pins (6 PWM outputs) ISP Header 16 MHz Clock Spee 32 k Flash Memory R3 Shield Compatible All SMD Construction USB Programming Facilitated by the Ubiquitous FTDI FT231X Red PCB The SparkFun RedBoard combines the stability of the FTDI, the simplicity of the Uno's Optiboot bootloader, and the R3 shield compatibility of the Uno R3. RedBoard has the hardware peripherals you are used to: 6 Analog Inputs 14 Digital I/O pins (6 PWM pins) SPI UART External interrupts Downloads Drivers GitHub

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Specifications Operating Voltage: 3.3 V ESP-12E MCU Display Size: 1.28 inch USB Port for Power & Data Transmission Interface Pins: 4 GPIO, 1 GND, 1 Power Driver: GC9A01 Resolution240 x 240 Pixel Color: 65 K RGB Interface: SPI Downloads STEP File Dimensions 3D File Schematic GitHub

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Want to make a UV detector to know the UV index when you are under the sun? Grove Sunlight Sensor is a multi-channel digital light sensor, which has the ability to detect UV-light, visible light and infrared light. This device is based on SI1151, a new sensor from SiLabs. The Si1151 is a low-power, reflectance-based, infrared proximity, UV index and ambient light sensor with I²C digital interface and programmable-event interrupt output. This device offers excellent performance under a wide dynamic range and a variety of light sources including direct sunlight. Grove Sunlight Sensor includes an on-board Grove connector, which helps you to connect it to your Arduino easily. You can use this device for making some projects which need to detect the light, such as a simple UV detector for your Raspberry Pi weather station, or a smart irrigation system using Arduino if you need to monitor the visible spectrum. Features Multi-channel digital light sensor: can detect UV-light, visible light and infrared light Wide spectrum detection range: 280-950 nm Easy to use: I²C Interface (7-bit), compatible with Grove port, just plug-and-play Programmable configuration: Versatile for various applications 3.3/5 V Supply, suitable for many microcontrollers and SBCs Applications Light detection Smart irrigation system DIY weather station Included 1x Grove Sunlight Sensor 1x Grove Cable Downloads Schematic in PDF Schematic in Eagle File Si1145 Datasheet GitHub Repositoriy for Grove Sunlight Sensor Spectrum Lumen (unit) Ultraviolet index

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The Raspberry Pi AI HAT+ is an expansion board designed for the Raspberry Pi 5, featuring an integrated Hailo AI accelerator. This add-on offers a cost-effective, efficient, and accessible approach to incorporating high-performance AI capabilities, with applications spanning process control, security, home automation, and robotics. Available in models offering 13 or 26 tera-operations per second (TOPS), the AI HAT+ is based on the Hailo-8L and Hailo-8 neural network accelerators. This 13 TOPS model efficiently supports neural networks for tasks like object detection, semantic and instance segmentation, pose estimation, and more. The 26 TOPS variant accommodates larger networks, enables faster processing, and is optimized for running multiple networks simultaneously. The AI HAT+ connects via the Raspberry Pi 5’s PCIe Gen3 interface. When the Raspberry Pi 5 is running a current version of the Raspberry Pi OS, it automatically detects the onboard Hailo accelerator, making the neural processing unit (NPU) available for AI tasks. Additionally, the rpicam-apps camera applications included in Raspberry Pi OS seamlessly support the AI module, automatically using the NPU for compatible post-processing functions. Included Raspberry Pi AI HAT+ (13 TOPS) Mounting hardware kit (spacers, screws) 16 mm GPIO stacking header Downloads Datasheet

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