The Raspberry Pi SSD unlocks outstanding performance for I/O intensive applications on Raspberry Pi 5 and other devices, including super-fast startup when booting from SSD. It is a reliable, responsive, and high-performance PCIe Gen 3-compliant SSD capable of fast data transfer, available also with 256 GB capacity. Features 50k IOPS (4 kB random reads) 90k IOPS (4 kB random writes) Downloads Datasheet

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The Raspberry Pi SSD unlocks outstanding performance for I/O intensive applications on Raspberry Pi 5 and other devices, including super-fast startup when booting from SSD. It is a reliable, responsive, and high-performance PCIe Gen 3-compliant SSD capable of fast data transfer, available also with 512 GB capacity. Features 40k IOPS (4 kB random reads) 70k IOPS (4 kB random writes) Downloads Datasheet

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The Raspberry Pi SSD Kit bundles a Raspberry Pi M.2 HAT+ with a Raspberry Pi NVMe SSD. It unlocks outstanding performance for I/O intensive applications on Raspberry Pi 5, including super-fast startup when booting from SSD. The Raspberry Pi SSD Kit is also available with 512 GB capacity. Features 40k IOPS (4 kB random reads) 70k IOPS (4 kB random writes) Conforms to the Raspberry Pi HAT+ specification Included 256 GB NVMe SSD M.2 HAT+ for Raspberry Pi 5 16 mm GPIO stacking header Mounting hardware kit (spacers, screws) Downloads Datasheet

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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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The Raspberry Pi 500 (based on the Raspberry Pi 5) features a quad-core 64-bit Arm processor, RP1 I/O controller, 8 GB RAM, wireless networking, dual-display output, 4K video playback, and a 40-pin GPIO header. It's a powerful, compact all-in-one computer built into a portable keyboard. The built-in aluminum heatsink provides improved thermal performance, allowing the Raspberry Pi 500 to run quickly and smoothly even under heavy load. Specifications SoC Broadcom BCM2712 CPU ARM Cortex-A76 (ARM v8) 64-bit Clock rate 4x 2.4 GHz GPU VideoCore VII (800 MHz) RAM 8 GB LPDDR4X (4267 MHz) WiFi IEEE 802.11b/g/n/ac (2.4 GHz/5 GHz) Bluetooth Bluetooth 5.0, BLE Ethernet Gigabit Ethernet (with PoE+ support) USB 2x USB-A 3.0 (5 GBit/s)1x USB-A 2.01x USB-C (for power supply) PCI Express 1x PCIe 2.0 GPIO Standard 40-pin GPIO header Video 2x micro-HDMI ports (4K60) Multimedia H.265 (4K60 decode)OpenGL ES 3.1, Vulkan 1.2 SD card microSD Power supply 5 V DC (via USB-C) Keyboard layout US (QWERTY) Dimensions 286 x 122 x 23 mm Included Raspberry Pi 500 (US keyboard layout, QWERTY) Official 27 W Power Supply for Raspberry Pi (EU, white) Official Raspberry Pi Mouse (white) Official Raspberry Pi HDMI Cable (white, 2 m) 32 GB microSD Card with pre-installed Raspberry Pi OS The Official Raspberry Pi Beginner's Guide (5th Edition) Downloads Datasheet

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The Raspberry Pi 500 (based on the Raspberry Pi 5) features a quad-core 64-bit Arm processor, RP1 I/O controller, 8 GB RAM, wireless networking, dual-display output, 4K video playback, and a 40-pin GPIO header. It's a powerful, compact all-in-one computer built into a portable keyboard. The built-in aluminum heatsink provides improved thermal performance, allowing the Raspberry Pi 500 to run quickly and smoothly even under heavy load. Specifications SoC Broadcom BCM2712 CPU ARM Cortex-A76 (ARM v8) 64-bit Clock rate 4x 2.4 GHz GPU VideoCore VII (800 MHz) RAM 8 GB LPDDR4X (4267 MHz) WiFi IEEE 802.11b/g/n/ac (2.4 GHz/5 GHz) Bluetooth Bluetooth 5.0, BLE Ethernet Gigabit Ethernet (with PoE+ support) USB 2x USB-A 3.0 (5 GBit/s)1x USB-A 2.01x USB-C (for power supply) PCI Express 1x PCIe 2.0 GPIO Standard 40-pin GPIO header Video 2x micro-HDMI ports (4K60) Multimedia H.265 (4K60 decode)OpenGL ES 3.1, Vulkan 1.2 SD card microSD Power supply 5 V DC (via USB-C) Keyboard layout US (QWERTY) Dimensions 286 x 122 x 23 mm Downloads Datasheet

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The AD584 4-ch Voltage Reference Module is designed to provide stable and accurate reference voltages of 2.5 V, 5 V, 7.5 V, and 10 V. It incorporates the AD584 integrated circuit, known for its high accuracy and stability. Features Multiple Output Voltages: The module can output four different reference voltages (2.5 V, 5 V, 7.5 V, and 10 V) accessible through a single port. Microcontroller-based Switching: An onboard microcontroller facilitates switching between the four voltage outputs, with LED indicators displaying the active selection. User-Friendly Operation: A single button allows for easy cycling through the available reference voltages. Transparent Housing: The module is encased in a transparent housing, offering protection while allowing users to view the internal components. Power Supply Options: It can be powered via a built-in lithium battery (not included) or through a 5 V DC input. A charging indicator provides status updates during charging. Output Interface: Equipped with 4mm banana sockets for secure and reliable connections. Included 1x AD584 4-ch Voltage Reference Module with Housing Downloads Datasheet

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As demand for solar panel installation has risen sharply, especially for installations larger than balcony power plants, the order books of solar companies are full. If you ask for a quote today, you may have to wait a while, if your request isn't simply postponed indefinitely. Another consequence of the solar boom is that some companies are charging very high prices for installations. Yet there is an obvious and radical solution to the problem of excessive prices: Do it yourself, as the English say. The price of materials is currently affordable, and it's the ideal time for those who do the work themselves. They couldn't save more. Add to this the satisfaction of doing something useful, both economically and ecologically, and the pleasure of building yourself. In this special issue, you'll find a wide selection of Elektor assemblies, from solar panel controllers to solar water heaters and solar panel orientation systems. The issue also contains practical information on solar panel installation and the technology behind them. Finally, there are a number of articles on the subject of balcony power plants, from how to install them to how to connect them to the Internet... Contents BASICS Dimensioning Photovoltaic Panel ArraysAn introduction to photovoltaic energy and the commonest techniques,followed by simplified calculation models and setup guidelines. Light Sensor TechnologyMeasuring daylight using LEDs. Solar Power Made SimpleSolar charging with and without a controller. Cable Cross-sections and Energy Losses in Solar SystemsKey considerations on the minimum values to respect for electricalcurrent in solar panel cabling. Solar ModulesEverything you always wanted to know about solar panels... Ideal Diode ControllerDiode Circuits with Low Power Dissipation. TIPS Tracking for Solar Modules zBot Solar/Battery Power Supply Solar Cell Array Charger with Regulator Solar Cell Voltage Regulator Solar-Powered Night Light Alternative Solar Battery Charger PROJECTS Energy LoggerMeasuring and Recording Power Consumption. Tiny Solar SupplySunlight In, 3.3 V Out. A Do-It-Yourself DTURead Data from Small Inverters by μC. Solar ChargerPortable energy for people on the move. Solar Thermal Energy RegulatorMaximum power point tracking explored. 2-amp Maximum Power Tracking ChargerSolar Power To The Max. Computer-driven HeliostatFollow the sun or the stars. Garden LightingUsing solar cells. Solar Panel Voltage Converter for IoT DevicesYes we CAN exploit indoor lighting. Travel ChargerFree power in the mountains. Solar Cell Battery Charger/MonitorWith protection against deep discharge. Solar-powered Battery ChargerPIC12C671 avoids overcharging and deep charging. Converters for Photovoltaic PanelsContributed by TME (Transfer MultisortElektronik). Solar Charging RegulatorFor panels up to 53 watts. Solar-Powered ChargerFor lead-acid batteries. CAN Bus + Arduino for Solar PV Cell MonitoringDetect and locate serviceable panels in large arrays. Balcony Power Plant 2.0The latest: solar panels, installation and inverters

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The T-Deck is a pocket-sized gadget featuring a 2.8-inch IPS LCD display (320 x 240), a mini keyboard, and an ESP32 dual-core processor. While it’s not quite a smartphone, it offers plenty of potential for tech enthusiasts. With some programming know-how, you can transform it into a standalone messaging device or a portable coding platform. Specifications Microcontroller ESP32-S3FN16R8 Dual-core LX7 microprocessor Wireless Connectivity 2.4 GHz Wi-Fi & Bluetooth 5 (LE) Development Arduino, PlatformlO, MicroPython Flash 16 MB PSRAM 8 MB Battery ADC Pin IO04 Onboard functions Trackball, Microphone, Speaker Display 2.8" ST7789 SPI Interface IPS Resolution 320 x 240 (Full viewing angle) Transmit power +22 dBm SX1262 LoRa Transceiver (Frequency) 868 Mhz Dimensions 100 x 68 x 11 mm Included 1x T-Deck ESP32-S3 LoRa 1x FPC antenna (868 MHz) 1x Male pin (6-pin) 1x Power cable Downloads GitHub

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Kick off with the MAX1000 and VHDPlus Ready to Master FPGA Programming? In this guide, we’re diving into the world of Field Programmable Gate Arrays (FPGAs) – a configurable integrated circuit that can be programmed after manufacturing. Imagine bringing your ideas to life, from simple projects to complete microcontroller systems! Meet the MAX1000: a compact and budget-friendly FPGA development board packed with features like memory, user LEDs, push-buttons, and flexible I/O ports. It’s the ideal starting point for anyone wanting to learn about FPGAs and Hardware Description Languages (HDLs). In this book, you’ll get hands-on with the VHDPlus programming language – a simpler version of VHDL. We’ll work on practical projects using the MAX1000, helping you gain the skills and confidence to unleash your creativity. Get ready for an exciting journey! You’ll explore a variety of projects that highlight the true power of FPGAs. Let’s turn your ideas into reality and embark on your FPGA adventure – your journey starts now! Exciting Projects You’ll Find in This Book Arduino-Driven BCD to 7-Segment Display Decoder Use an Arduino Uno R4 to supply BCD data to the decoder, counting from 0 to 9 with a one-second delay Multiplexed 4-Digit Event Counter Create an event counter that displays the total count on a 4-digit display, incrementing with each button press PWM Waveform with Fixed Duty Cycle Generate a PWM waveform at 1 kHz with a fixed duty cycle of 50% Ultrasonic Distance Measurement Measure distances using an ultrasonic sensor, displaying the results on a 4-digit 7-segment LED Electronic Lock Build a simple electronic lock using combinational logic gates with push buttons and an LED output Temperature Sensor Monitor ambient temperature with a TMP36 sensor and display the readings on a 7-segment LED Downloads Software

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An Illustrated Handbook of Vintage ‘Scopes Repair and Preservation Tektronix oscilloscopes are true masterpieces of electronics and have helped mankind advance in every field of science, wherever a physical phenomenon needed to be observed and studied. They helped man reach the moon, find the cause of plane crashes, and paved the way for thousands of other discoveries. Restoring and collecting these oscilloscopes is an exciting activity; it is really worthwhile to save them from the effects of time and restore them to their original condition. Many parts are quite easy to find, and there are many Internet sites, groups, and videos that can help you. Much of the original documentation is still available, but it is not always sufficient. This book contains a lot of information, descriptions, suggestions, technical notes, photos and schematics that can be of great help to those who want to restore or simply repair these wonderful witnesses of one of the most beautiful eras in the history of technology. Component layouts included! This book includes a nearly complete component layout plan of the original 545 oscilloscope, with relative reference designators. Not found in the original Tektronix manuals, this layout should prove invaluable to the repair technician.

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Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. Audio DSP FX Processor BoardPart 1: Features and Design 50 Years of Elektor in English KiCad 8Top New and Updated Features Elektor MultiCalculator KitAn Arduino-Based Calculator Kit for Electronic Purposes Low-Cost GNSS RTK SystemsWith Centimeter-Level Degree of Accuracy PCB Layout and SafetyHints for a Safe, Long-Life Design of Your Boards Opamp TesterFor Audio and Other Applications Project Update #4: ESP32-Based Energy MeterEnergy Monitoring with MQTT Real-Time Spectrum Analyzer with Waveguide Technology and Multi-Interface PCsAaronia Establishes New Product Segment and Presents First Prototypes at Electronica in Munich Applications of Ynvisible’s E-paper DisplaysTransform Businesses and Shape the Future SMT InductorsCoils and Ferrites — Selection Made Easy Arrow Electronics to Showcase Innovative Technologies at electronica 2024 Using EMI Shielding to Achieve Electromagnetic Compatibility Compliance The Ultimate Tool for Every Electronics EnthusiastUnlock Endless Possibilities with Red Pitaya and 1,000+ Click Boards™ V-LD1 Distance Radar Module Siglent Presents Its New Vector Network Analyzer Platform SNA6000A HDI in the MiddleA New Cost-Effective PCB Pooling Service for Tiny BGAs Remote Access IoT LabOne and Only Solution for Remote Learning and Development in Embedded Industry Challenges of DFM Analysis for Flex and Rigid-Flex Design From Life's ExperienceMicrotechnophobia 3D Christmas TreeA 3D PCB with a Low-Cost, 32-bit Microcontroller Starting Out in Electronics……Continues with the Opamp! An Autonomous Sensor Node (Project Update #1)Reducing Idle Power Consumption with External RTC and Power Switch 2024: An AI OdysseyA Look Back at the Future LED Displays with the MAX7219A Hands-On Approach to a Great Chip Err-lectronicsCorrections, Updates, and Readers’ Letters VibroTactile GlovesA Breakthrough for Parkinson’s Patients

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The Elektor ESP32 Energy Meter is a device designed for real-time energy monitoring and smart home integration. Powered by the ESP32-S3 microcontroller, it offers robust performance with modular and scalable features. The device uses a 220 V-to-12 V step-down transformer for voltage sampling, ensuring galvanic isolation and safety. Its compact PCB layout includes screw-type terminal blocks for secure connections, a Qwiic connector for additional sensors, and a programming header for direct ESP32-S3 configuration. The energy meter is compatible with single-phase and three-phase systems, making it adaptable for various applications. The energy meter is simple to set up and integrates with Home Assistant, offering real-time monitoring, historical analytics, and automation capabilities. It provides accurate measurements of voltage, current, and power, making it a valuable tool for energy management in homes and businesses. Features Comprehensive Energy Monitoring: Get detailed insights into your energy usage for smarter management and cost savings. Customizable Software: Tailor functionality to your needs by programming and integrating custom sensors. Smart Home Ready: Compatible with ESPHome, Home Assistant, and MQTT for full Smart Home integration. Safe & Flexible Design: Operates with a 220 V-to-12 V step-down transformer and features a pre-assembled SMD board. Quick Start: Includes one Current Transformer (CT) sensor and access to free setup resources. Specifications Microcontroller ESP32-S3-WROOM-1-N8R2 Energy Metering IC ATM90E32AS Status Indicators 4x LEDs for power consumption indication2x Programmable LEDs for custom status notifications User Input 2x Push buttons for user control Display Output I²C OLED display for real-time power consumption visualization Input Voltage 110/220 V AC (via step-down transformer) Input Power 12 V (via step-down transformer or DC input) Clamp Current Sensor YHDC SCT013-000 (100 A/50 mA) included Smart Home Integration ESPHome, Home Assistant, and MQTT for seamless connectivity Connectivity Header for programming, Qwiic for sensor expansion Applications Supports single-phase and three-phase energy monitoring systems Dimensions 79.5 x 79.5 mm Included 1x Partly assembled board (SMDs are pre-mounted) 2x Screw terminal block connerctors (not mounted) 1x YHDC SCT013-000 current transformer Required Power transformer not included Downloads Datasheet (ESP32-S3-WROOM-1) Datasheet (ATM90E32AS) Datasheet (SCT013-000) Frequently Asked Questions (FAQ) From Prototype to Finished Product What started as an innovative project to create a reliable and user-friendly energy meter using the ESP32-S3 microcontroller has evolved into a robust product. Initially developed as an open-source project, the ESP32 Energy Meter aimed to provide precise energy monitoring, smart home integration and more. Through meticulous hardware and firmware development, the energy meter now stands as a compact, versatile solution for energy management.

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The Pimoroni Explorer Starter Kit is an electronic adventure playground for physical computing based on the RP2350 chip. It includes a 2.8-inch LCD screen, a speaker, a mini breadboard and much more. It's ideal for tinkering, experiments, and building small prototypes. Features Mini breadboard for wiring up components Servo headers Analog inputs Built-in speaker Plenty of general purpose inputs/outputs Connectors for attaching crocodile leads Qw/ST connectors for attaching I²C breakouts Specifications Powered by RP2350B (Dual Arm Cortex-M33 running at up to 150 MHz with 520 KB of SRAM) 16 MB of QSPI flash supporting XiP 2.8" IPS LCD screen (320 x 240 pixels) Driver IC: ST7789V Luminance: 250 cd/m² Active area: 43.2 x 57.5 mm USB-C connector for programming and power Mini breadboard Piezo speaker 6x user-controllable switches Reset and boot buttons Easy access GPIO headers (6x GPIOs and 3x ADCs, plus 3.3 V power and grounds) 6x Crocodile clip terminals (3x ADCs, plus 3.3 V power and grounds) 4x 3-pin servo outputs 2x Qw/ST (Qwiic/STEMMA QT) connector 2-pin JST-PH connector for adding a battery Lanyard slot! Includes 2x desktop stand feet Fully-assembled (no soldering required) Programmable with C/C++ or MicroPython Included 1x Pimoroni Explorer 1x Multi-Sensor Stick – a fancy new all-in-one super sensor suite for environmental, light and movement sensing Selection of different colored LEDs to get blinky with (including red, yellow, green, blue, white and RGB) 1x Potentiometer (for analog amusements) 3x 12 mm switches with different coloured caps 2x Continuous rotation servos 2x 60 mm wheels for attaching to your servos 1x AAA battery holder (batteries not included) 1x Velcro to stick the battery holder to the back of Explorer 20x Pin to pin and 20x pin to socket jumper wires for making connections on your breadboard 1x Qw/ST cable to plug in the Multi-Sensor Stick 1x Silicon USB-C cable Downloads GitHub Schematic

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The Cytron Motion 2350 Pro is a robust 4-channel DC motor driver (3 A per channel, 3.6-16 V) ideal for building powerful robots, including mecanum wheel designs. It features 8-channel 5 V servo ports, 8-channel GPIO breakouts, 3 Maker Ports, and a USB host for plug-and-play joystick/gamepad support. Powered by Raspberry Pi Pico 2, it integrates seamlessly with the Pico ecosystem, supporting Python (MicroPython, CircuitPython), C/C++, and Arduino IDE. Pre-installed with CircuitPython, it comes with a demo program and quick test buttons for immediate use. Simply connect via USB-C, and start exploring! Included 1x Cytron Motion 2350 Pro Robotics Controller 1x STEMMA QT/Qwiic JST SH 4-pin Cable with Female Sockets (150 mm) 2x Grove to JST-SH Cable (200 mm) 1x Set of Silicone Bumper 4x Building Block Friction Pin 1x Mini Screwdriver

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The Raspberry Pi Monitor is a 15.6-inch Full HD computer display. User-friendly, versatile, compact and affordable, it is the perfect desktop display companion for both Raspberry Pi computers and other devices. With built-in audio via two front-facing speakers, and VESA and screw mounting options as well as an integrated angle-adjustable stand, the Raspberry Pi Monitor is ideal for desktop use or for integration into projects and systems. It can be powered directly from a Raspberry Pi, or by a separate power supply. Features 15.6-inch full HD 1080p IPS display Integrated angle-adjustable stand Built-in audio via two front-facing speakers Audio out via 3.5 mm jack Full-size HDMI input VESA and screw mounting options Volume and brightness control buttons USB-C power cable Specifications Display Screen size: 15.6 inches, 16:9 ratio Panel type: IPS LCD with anti-glare coating Display resolution: 1920 x 1080 Color depth: 16.2M Brightness (typical): 250 nits Color gamut: 45% Viewing angle: 80° Power 1.5 A/5 V Can be powered directly from a Raspberry Pi USB port (max 60% brightness, 50% volume) or by a separate power supply (max 100% brightness, 100% volume) Connectivity Standard HDMI port (1.4 compliant) 3.5 mm stereo headphone jack USB-C (power in) Audio 2x 1.2 W integrated speakers Support for 44.1 kHz, 48 kHz, and 96 kHz sample rates Downloads Datasheet

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The Raspberry Pi Pico 2 W is a microcontroller board based on the RP2350 featuring 2.4 GHz 802.11n wireless LAN and Bluetooth 5.2. It gives you even more flexibility in your IoT or smart product designs and expanding the possibilities for your projects. The RP2350 provides a comprehensive security architecture built around Arm TrustZone for Cortex-M. It incorporates signed boot, 8 KB of antifuse OTP for key storage, SHA-256 acceleration, a hardware TRNG, and fast glitch detectors. The unique dual-core, dual-architecture capability of the RP2350 allows users to choose between a pair of industry-standard Arm Cortex-M33 cores and a pair of open-hardware Hazard3 RISC-V cores. Programmable in C/C++ and Python, and supported by detailed documentation, the Raspberry Pi Pico 2 W is the ideal microcontroller board for both enthusiasts and professional developers. Specifications CPU Dual Arm Cortex-M33 or dual RISC-V Hazard3 processors @ 150 MHz Wireless On-board Infineon CYW43439 single-band 2.4 GHz 802.11n wireless Lan and Bluetooth 5.2 Memory 520 KB on-chip SRAM; 4 MB on-board QSPI flash Interfaces 26 multi-purpose GPIO pins, including 4 that can be used for AD Peripherals 2x UART 2x SPI controllers 2x I²C controllers 24x PWM channels 1x USB 1.1 controller and PHY, with host and device support 12x PIO state machines Input power 1.8-5.5 V DC Dimensions 21 x 51 mm Downloads Datasheet Pinout Schematic

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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. The 13 TOPS model efficiently supports neural networks for tasks like object detection, semantic and instance segmentation, pose estimation, and more. This 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+ (26 TOPS) Mounting hardware kit (spacers, screws) 16 mm GPIO stacking header Downloads Datasheet

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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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The Unitree G1 is a modern humanoid robot that impresses with its remarkable flexibility and advanced technology. With an exceptionally wide range of joint movement and up to 43 joint motors, it exceeds the agility of a typical human. Powered by imitation learning and reinforcement learning, its robotic systems are continuously developed and optimized through artificial intelligence. One of the G1's most impressive features is its ability to autonomously move into a walking position as soon as it touches the ground – no external assistance required! It can immediately start moving, demonstrating a high level of independence and adaptability. The G1 is also equipped with a force-controlled, highly dexterous hand that operates with both sensitivity and precision, thanks to its combination of force and position control. This hand closely mimics human movements, allowing for precise object manipulation. Features Intel RealSense D435 Depth Camera Livox MID-360 3D LiDAR Microphone array (noise and echo cancellation) 5 W stereo speaker Extra large quick release battery Single arm degrees of freedom (shoulder 2 + elbow 2) Hollow joint wiring of the whole machine (no external cables) Maximum torque at joints 120 N.m Single leg degrees of freedom (hip 3, knee 1, ankle 2) Moving speed of 2 m/s Specifications Height, Width and Thickness (Stand) 1320 x 450 x 200 mm Height, Width and Thickness (Fold) 690 x 450 x 300 mm Weight (with Battery) approx. 35 kg Total Degrees of Freedom（Joint Freedom 23 Single Leg Degrees of Freedom 6 Waist Degrees of Freedom 1 Single Arm Degrees of Freedom 5 Joint output bearing Industrial grade crossed roller bearings (high precision, high load capacity) Joint motor Low inertia high-speed internal rotor PMSM (Permanent Magnet Synchronous Motor – better response speed and heat dissipation) Maximum Torque of Knee Joint 90 N.m Arm Maximum Load approx. 2 kg Calf + Thigh Length 0.6 m Arm Span approx. 0.45 m Extra Large Joint Movement Space • Waist joint: Z ±155°• Knee joint: 0~165°• Hip joint: P ±154°, R -30~+170°, Y ±158° Full Joint Hollow Electrical Routing Yes Joint Encoder Dual encoder Cooling System Local air cooling Power Supply 13 string Lithium battery Basic Computing Power 8-core high-performance CPU Sensing Sensor Depth Camera + 3D LiDAR Microphones 4 Microphone Array Speaker 5 W stereo speaker Wireless WiFi 6, Bluetooth 5.2 Smart Battery (Quick Release) 9000 mAh Charger 54 V/5 A Manual Controller Yes Battery Life approx. 2 hours Upgraded Intelligent OTA Yes

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The Raspberry Pi Bumper is a snap-on silicone cover that protects the bottom and edges of the Raspberry Pi 5. Features One-piece flexible silicone rubber bumper Enables easy access to the power button Mounting holes remain accessible underneath the bumper Downloads Datasheet

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A Beginner's Guide to AI and Edge Computing Artificial Intelligence (AI) is now part of our daily lives. With companies developing low-cost AI-powered hardware into their products, it is now becoming a reality to purchase AI accelerator hardware at comparatively very low costs. One such hardware accelerator is the Hailo module which is fully compatible with the Raspberry Pi 5. The Raspberry Pi AI Kit is a cleverly designed hardware as it bundles an M.2-based Hailo-8L accelerator with the Raspberry Pi M.2 HAT+ to offer high speed inferencing on the Raspberry Pi 5. Using the Raspberry Pi AI Kit, you can build complex AI-based vision applications, running in real-time, such as object detection, pose estimation, instance segmentation, home automation, security, robotics, and many more neural network-based applications. This book is an introduction to the Raspberry Pi AI Kit, and it is aimed to provide some help to readers who are new to the kit and wanting to run some simple AI-based visual models on their Raspberry Pi 5 computers. The book is not meant to cover the detailed process of model creation and compilation, which is done on an Ubuntu computer with massive disk space and 32 GB memory. Examples of pre-trained and custom object detection are given in the book. Two fully tested and working projects are given in the book. The first project explains how a person can be detected and how an LED can be activated after the detection, and how the detection can be acknowledged by pressing an external button. The second project illustrates how a person can be detected, and how this information can be passed to a smart phone over a Wi-Fi link, as well as how the detection can be acknowledged by sending a message from the smartphone to your Raspberry Pi 5.

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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 LILYGO T-Panel S3 is a versatile development board designed for IoT applications, featuring a 4-inch IPS LCD with a 480x480 resolution. Powered by the ESP32-S3 microcontroller, it offers 2.4 GHz Wi-Fi and Bluetooth 5 (LE) connectivity, with 16 MB of flash memory and 8 MB of PSRAM. The board supports development environments such as Arduino, PlatformIO-IDE, and MicroPython. Notably, it includes a capacitive touch interface, enhancing user interaction capabilities. Onboard functions comprise Boot (IO00), Reset, and two additional keys, providing flexibility for various applications. This combination of features makes the T-Panel S3 suitable for a wide range of IoT projects and smart device control interfaces. Specifications MCU1 ESP32-S3 Flash 16 MB PSRAM 8 MB Wireless Connectivity 2.4 GHz Wi-Fi + Bluetooth 5 (LE) MCU2 ESP32-H2 Flash 4 MB Wireless Connectivity IEEE 802.15.4 + Bluetooth 5 (LE) Developing Arduino, PlatformIO-IDE, Micropython Display 4.0" 480x480 IPS ST7701S LCD Resolution 480 x 480 (RGB) Interface SPI + RGB Compatibility library Arduino_ GFX, LVGL Onboard functions QWiiCx2 + TF Card + AntennaESP32 4x Button= S3(Boot + RST) + H2(Boot + RST) Transceiver Module RS485 Using bus communication protocol UART Included 1x T-Panel S3 1x Female pin (2x 8x1.27) Downloads GitHub

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