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Elektor Digital Elektor November/December 2023 (PDF)
Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. The Raspberry Pi 5A Huge Improvement From Its Predecessor AI in the Electronics LabGoogle Bard and Flux Copilot Put to the Test Arduino Nano Waveform GeneratorNano + Code = Function Generator Solar-Powered Christmas GarlandAn Eco-Friendly Solution for Garnishing Your Balcony USB Killer DetectorBetter Safe Than Sorry A Simple CNCed EnclosureWith Autodesk Fusion 360 for Personal Use Low-Volume Board ProductionWith and without Assembly IoT Simulation Simplified with WokwiDeveloper Uri Shaked on Design, Software, and More A Bare-Metal Programming Guide (Part 3)CMSIS Headers, Automatic Testing, and a Web Server LoRa, a Swiss Army Knife (2)The Hardware and Software MEMS Microphone Design and Construction Tools to Try Before You SolderSimulation and 3D Modeling Tools That Can Be Used for Free New Tools From Microchip!PICkit 5 and MPLAB ICD 5 Available Now! Rapid Prototyping of Flexible, Stretchable ElectronicsHow the Voltera NOVA Speeds Up Innovation in Wearable Electronic Systems Galvanic IsolationUsing Phototransistor Optocouplers Successfully The Complex Solution or the Anybus Solution?Embedded Industrial Ethernet in 2 Days Rather Than Many Months Your Essential DFM ChecklistHow to Start Designing for Manufacture 3D Printing FilamentsTypes, Features and Use in Prototyping Specialists for Effective Signal Analysis from ELF to EHF BandAaronia’s latest real-time SPECTRAN® V6 series spectrum analyzers Challenges of DFM Analysis for Flex and Rigid-Flex Design Setting Up an SMT Line The Right Combination for a Reliable Assembly Revolutionizing IndustriesThe Rise of Autonomous Mobile Robots (AMRs) Evolved for More ChallengesRohde & Schwarz Adds Eight-Channel R&S MXO 5 to Next-Generation Oscilloscopes Starting Out in Electronics……Amplifying Differences Mini Reflow PlateFor Assembling or Repairing Small SMD Circuits Don’t Start with a Prototype – Start with a Pretotype!Check That a Market Exists for Your Product Before Warming Your Soldering Iron 2023: An AI OdysseyGetting Help Designing a Physical Project Brussels Is InnovatingSupport for Deep Tech
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Seeed Studio Sipeed MAix BiT for RISC-V AI + IoT
AI is pervasive today, from consumer to enterprise applications. With the explosive growth of connected devices, combined with a demand for privacy/confidentiality, low latency and bandwidth constraints, AI models trained in the cloud increasingly need to be run at the edge.MAix is Sipeed’s purpose-built module designed to run AI at the edge, we called it AIoT. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge, and the competitive price make it possible embed to any IoT devices. As you see, Sipeed MAIX is quite like Google edge TPU, but it act as master controller, not an accelerator like edge TPU, so it is more low cost and low power than AP+edge TPU solution.Features It is twice of M1 size, 1x2 inch size, breadboard-friendly, and also SMT-able It integrate USB2UART chip, auto download circuit, RGB LED, DVP Camera FPC connector(support small FPC camera and standard M12 camera), MCU LCD FPC connector (support our 2.4 inch QVGA LCD), TF card slot. MAix BiT is able to adjust core voltage! you can adjust from 0.8V~1.2V, overclock to 800MHz! Technical Specification CPU: RISC-V Dual Core 64bit, 400MHz adjustable Powerful dual-core 64-bit open architecture-based processor with rich community resources Debugging Support High-speed UART and JTAG interface for debugging GPIO interface All GPIOs connected to header 2*20 2.54mm Micro SD card (TF card) slot Support Self-elastic card holder One-click Download circuit Just connect the USB typeC cable to complete the downloadOnboard CH340, which support 2Mbps baudrate DVP Camera connector 24P 0.5mm FPC connector LCD connector 8bit MCU LCD 24P 0.5mm FPC connector Button RST button and USR button
Google Google AIY Vision Kit for Raspberry Pi
Google AIY Projects brings do-it-yourself artificial intelligence to your maker projects. The Google AIY Vision Kit lets you build an image recognition device that can see and identify objects, powered by TensorFlow’s machine learning models.The kit includes all of the components needed to assemble the basic kit that works with the Google Assistant SDK as well as on-device image & vision recognition with TensorFlow using the Intel Movidius Myriad Vision Processing Unit (VPU) hardware assist.Assembling the kit should take about one hour. There is no-soldering-required, complete AIY kit is an awesome Pi Zero-powered project!Included Vision Bonnet Board with Movidius VPU for Raspberry Pi - fully assembled Raspberry Pi Zero WH (Fully assembled) Raspberry Pi Camera Board Pi Zero Camera flat flex cable CSI flat flex cable to connect to the camera MicroSD card for the operating system 11mm Plastic standoffs Privacy LED Arcade Push Button Button harness Piezo buzzer LED bezel USB cable - A/MicroB Tripod mounting nut External cardboard box Internal cardboard frame
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, by Saad Imtiaz SparkFun Thing Plus Matter (MGM240P): A Versatile Matter-Based IoT Development Board (Review)
The SparkFun Thing Plus Matter (MGM240P) is a versatile and feature-rich development board designed for creating Matter-based IoT devices. Matter, formerly known as Project CHIP...