Search results for "embedded or pi"

This hands-on bundle lets you build real Edge AI applications with the Raspberry Pi Raspberry Pi AI HAT+ (13 TOPS) The Raspberry Pi AI HAT+ (13 TOPS) 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. 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. Raspberry Pi Camera Module 3 Raspberry Pi Camera Module 3 is a compact camera from Raspberry Pi. It offers an IMX708 12-megapixel sensor with HDR, and features phase detection autofocus. Camera Module 3 is available in standard and wide-angle variants, both of which are available with or without an infrared cut filter. Camera Module 3 can be used to take full HD video as well as stills photographs, and features an HDR mode up to 3 megapixels. Its operation is fully supported by the libcamera library, including Camera Module 3’s rapid autofocus feature: this makes it easy for beginners to use, while offering plenty for advanced users. Camera Module 3 is compatible with all Raspberry Pi computers. Book: Edge AI Made Practical – AI Projects for the Raspberry Pi with the AI HAT+ Edge AI is transforming everyday devices by putting intelligence where it matters most: directly inside the hardware. With on-device inference, a camera can recognize a visitor instantly, a phone can translate speech without streaming audio to the cloud, and a wearable can detect anomalies in real time—fast, private, and reliable even when the network disappears. This book is your practical guide to building exactly those kinds of systems with the Raspberry Pi AI HAT+ and the Hailo-8L accelerator. You’ll start with clear foundations: core AI and machine-learning concepts, how neural networks work, and what truly distinguishes Edge AI from cloud AI—plus an honest look at ethical considerations and future impacts. This bundle contains: Book: Edge AI Made Practical Raspberry Pi AI HAT+ (13 TOPS) Raspberry Pi Camera Module 3 Active Cooler for Raspberry Pi 5 FPC Display Cable for Raspberry Pi 5 (300 mm) Elektor Component Kit 40-pin GPIO Header Traffic Light Module LED red 5 V with built-in resistor LED yellow 5 V with built-in resistor LED green 5 V with built-in resistor LED blue 5 V with built-in resistor Breadboard (400 Tie-points) 10 Dupont wires male-female DHT22 sensor module Servo motor Required Raspberry Pi 5

Read (+) (–)

Elektor Juillet/Août 2021 (PDF)

Read (+) (–)

This bundle includes the Arduino UNO Q (2 GB) and the book "Arduino UNO Q and AI". The Arduino UNO Q is the first UNO board with a hybrid dual-brain architecture, combining a powerful Linux processor with a real-time microcontroller – bringing advanced computing and precise control together on one board. Powered by a Qualcomm Dragonwing QRB2210 MPU running Debian Linux and a STM32U585 MCU for real-time tasks, the UNO Q is built for next-generation applications. From Edge Computing and AI to robotics and automation, it delivers high performance without sacrificing ease of use. Simply connect your peripherals and get started – no extra hardware required. Features Dual-core architecture: Linux MPU + real-time MCU Qualcomm Dragonwing QRB2210 with Debian Linux support STM32U585 microcontroller for deterministic control Runs Arduino sketches via Zephyr OS Ideal for AI, IoT, robotics, and industrial projects Specifications Microprocessor (MPU) Qualcomm Dragonwing QRB2210:Quad-core Arm Cortex-A53 @ 2.0 GHzAdreno GPU 3D graphics accelerator2× ISP (13 MP + 13 MP or 25 MP) @ 30 fps Microcontroller (MCU) STM32U585Arm Cortex-M33 up to 160 MHz2 MB flash memory786 KB SRAM RAM 2 GB LPDDR4 Power Supply From USB-C connector 5 V max at 3 AInput Voltage (VIN): 7-24 V Storage 16 GB eMMC USB 1× USB-C port with host/device role switching, power role switch and video output Connectivity Wi-Fi 5 (2.4/5 GHz) with onboard antennaBluetooth 5.1 with onboard antenna Interfaces I²C/I³CSPIPWMCANUARTPSSIGPIOJTAGADC Video Video output support via USB-CMIPI DSI pins on JMEDIA header Extra 4× RGB user-controllable LEDs8×13 Blue LED Matrix1× Qwiic connector voltage 3V3, I²C1× User push-buttonJCTL: MPU Remote Debug connector Audio Microphone IN / Headphone OUT / Line OUT on JMISC MPU Operating System Linux Debian OS with upstream support Real-time Operating System Arduino Core on Zephyr OS Containerization Docker and Docker Compose support Support Operating Systems for Arduino App Lab Windows: Windows 10 or later (64-bit)macOS: macOS 11 or later (64-bit)Linux: Ubuntu 22.04 or later, and Debian Trixie (64-bit) Dimensions 68.85 × 53.34 mm (UNO form factor) Downloads Datasheet User Manual Pinout Schematics Book: Arduino UNO Q and AI – Learn to Build Intelligent Embedded Systems Build smarter embedded systems with Arduino UNO Q. This book gives you the tools, knowledge, and confidence to turn ideas into intelligent, working solutions using the Arduino UNO Q platform. Discover how to build intelligent embedded systems with the Arduino UNO Q and AI. Unlock the full potential of the Arduino UNO Q, a next-generation platform that combines the real-time power of the STM32U585 microcontroller with the flexibility of a Qualcomm Dragonwing QRB2210 microprocessor. Learn how to rapidly prototype real-world applications using the Arduino IDE for low-level embedded control and Python in Arduino App Lab for high-level development. Build confidence through hands-on projects that guide you step by step from basic board features to complete working systems. Explore ready-to-use, AI based Arduino App Lab examples and see how they can jump-start your development and reduce time to deployment. Step into the world of Edge AI with a clear, practical introduction to Edge Impulse Studio—no prior AI experience required. Follow a complete, real-world workflow to create a Keyword Spotting AI application, covering data collection, model training, optimization, and on-device inference using the Edge Impulse Studio. Bridge the gap between embedded systems and machine learning and learn how to bring intelligence directly onto your hardware. Perfect for embedded engineers, educators, students, and makers looking to stay ahead in AI-enabled product development. This bundle contains: Arduino UNO Q (2 GB) (normal price: €50) Book: Arduino UNO Q and AI (normal price: €35)

Read (+) (–)

Elektor GREEN en GOLD leden kunnen deze uitgave hier downloaden. Nog geen lid? Klik hier om een lidmaatschap af te sluiten. ESP32 Audio Transceiver Board (Deel 2)Draadloze audio-overdracht Inductieve AM-zenderGebruikt Pico's PIO in een Arduino-sketch Navigeren door draadloze protocollen navigerenEen technische gids Satelliettracking met behulp van LoRaHet TinyGS-netwerk brengt gegevens uit de ruimte naar de aarde. 4G-Compatibele SMS afstandsbedieningBedien je apparatuur op afstand Hogesnelheids-probeIngangen met hoge impedantie voor signalen tot 200 MHz Uit het leven gegrepenKafka KrakenSDR Prestatietests met de RP2350Is een upgrade van Raspberry Pi Pico 1 naar versie 2 de moeite waard? Contactloze E-veldmetingen (2)Een laservibrometer voor het beoordelen van de trillingen van het membraan Kristallen en oscillatorenVerbetering van de kristalnauwkeurigheid door gerichte keuze van condensatoren Alle begin......gaat audio! Zelf firmware coderen voor embedded projecten SPECTRAN® V6 MobileModulaire, configureerbare realtime-spectrumanalyzer voor betrouwbare metingen over alle frequentiebereiken De toekomst van AI wordt gesmeed in siliciumEen interview met Anastasiia Nosova Autonome Sensor-Node v2.0 (Systeemarchitectuur)Zonne-energieplatform met geïntegreerde GPS, LoRaWAN en meer Precieze positioneringBluetooth channel sounding getest Testgestuurd ontwikkelen bij het schrijven van firmware Telefoon gestuurde modelautoWi-Fi + ESP32 + Smartphone = Afstandsbediening 2025: Een AI-odysseeAI-redeneermodellen: De gedachtegang-revolutie Zonne-laadregelaar met MPP-tracking (3)Software en Inbedrijfstelling Raspberry Pi Zero Web Streaming CameraDe ZeroTier VPN gebruiken Beste soldeerder van de Beneluxvakmanschap in de schijnwerpers Seminaroverzicht Electronics & ApplicationsLeer, ontdek en netwerk op E&A 2025 Eurocircuits at E&A 2025 E&A gadget 2025: racen over de beursvloer met slimme printplaat op wielenVijf vragen aan Casper van Doorne, ontwerper van de beursgadget Beursgadget E&A bekendontwerp en bestuur je eigen raceauto Vakbeurs E&A is het elektronicaparadijs van de Benelux“Techneuten blijven kinderen” Rohde & SchwarzPioneering Innovation in Test & Measurement Diederik Jekel opent Electronics & Applications

Read (+) (–)

Over 40 Fully Tested ESP32 Projects Using Arduino IDE and the LVGL Graphics Library This bundle includes the ESP32 Cheap Yellow Display (CYD) – a compact development board combining a standard ESP32 microcontroller with a 320x240 pixel TFT color display. The board also features multiple connectors for GPIO, serial communication (TX/RX), power, and ground. The built-in display is a major advantage, allowing users to create complex, graphics-based projects without the need for external LCDs or displays. The accompanying book introduces the CYD board's hardware and on-board connectors in detail. It provides a range of beginner to intermediate-level projects developed using the popular Arduino IDE 2.0. Both basic graphics functions and the powerful LVGL graphics library are covered, with practical projects illustrating each approach. All included projects have been fully tested and are ready to use. The book provides block diagrams, circuit schematics, complete code listings, and step-by-step explanations. With the LVGL library, readers can create modern, full-color graphical interfaces using widgets such as buttons, labels, sliders, calendars, keyboards, charts, tables, menus, animations, and more. ESP32 Cheap Yellow Display Board This development board (also known as "Cheap Yellow Display") is powered by the ESP-WROOM-32, a dual-core MCU with integrated Wi-Fi and Bluetooth capabilities. It operates at a main frequency of up to 240 MHz, with 520 KB SRAM, 448 KBROM, and a 4 MB Flash memory. The board features a 2.8-inch display with a resolution of 240x320 and resistive touch. Furthermore, the board includes a backlight control circuit, touch control circuit, speaker drive circuit, photosensitive circuit, and RGB-LED control circuit. It also provides a TF card slot, serial interface, DHT11 temperature and humidity sensor interface, and additional IO ports. The module supports development in Arduino IDE, ESP-IDE, MicroPython, and Mixly. Applications Image transmission for Smart Home device Wireless monitoring Smart agriculture QR wireless recognition Wireless positioning system signal And other IoT applications Specifications Microcontroller ESP-WROOM-32 (Dual-core MCU with integrated Wi-Fi and Bluetooth) Frequency Up to 240 MHz (computing power is up to 600 DMIPS) SRAM 520 KB ROM 448 KB Flash 4 MB Operating voltage 5 V Power consumption approx. 115 mA Display 2.8-inch color TFT screen (240 x 320) Touch Resistive Touch Driver chip ILI9341 Dimensions 50 x 86 mm Weight 50 g Downloads GitHub This bundle contains: The ESP32 Cheap Yellow Display Book (normal price: €35) ESP32 Cheap Yellow Display Board (normal price: €25) 1x ESP32 Dev Board with 2.8" Display and acrylic Shell 1x Touch pen 1x Connector cable 1x USB cable

Read (+) (–)

Program, build, and master 60+ projects with the Wireless RP2040 The Raspberry Pi Pico and Pico W are based on the fast, efficient, and low-cost dual-core ARM Cortex M0+ RP2040 microcontroller chip running at up to 133 MHz and sporting 264 KB of SRAM and 2 MB of Flash memory. Besides spacious memory, the Pico and Pico W offer many GPIO pins, and popular peripheral interface modules like ADC, SPI, I²C, UART, PWM, timing modules, a hardware debug interface, and an internal temperature sensor. The Raspberry Pi Pico W additionally includes an on-board Infineon CYW43439 Bluetooth and Wi-Fi chipset. At the time of writing this book, the Bluetooth firmware was not yet available. Wi-Fi is however fully supported at 2.4 GHz using the 802.11b/g/n protocols. This book is an introduction to using the Raspberry Pi Pico W in conjunction with the MicroPython programming language. The Thonny development environment (IDE) is used in all of the 60+ working and tested projects covering the following topics: Installing the MicroPython on Raspberry Pi Pico using a Raspberry Pi or a PC Timer interrupts and external interrupts Analogue-to-digital converter (ADC) projects Using the internal temperature sensor and external sensor chips Using the internal temperature sensor and external temperature sensor chips Datalogging projects PWM, UART, I²C, and SPI projects Using Bluetooth, WiFi, and apps to communicate with smartphones Digital-to-analogue converter (DAC) projects All projects are tried & tested. They can be implemented on both the Raspberry Pi Pico and Raspberry Pi Pico W, although the Wi-Fi-based subjects will run on the Pico W only. Basic programming and electronics experience are required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full MicroPython program listings are given for all projects.

Read (+) (–)

This collection features the best of Elektor Magazine's articles on embedded systems and artificial intelligence. From hands-on programming guides to innovative AI experiments, these pieces offer valuable insights and practical knowledge for engineers, developers, and enthusiasts exploring the evolving intersection of hardware design, software innovation, and intelligent technology. Contents Programming PICs from the Ground UpAssembler routine to output a sine wave Object-Oriented ProgrammingA Short Primer Using C++ Programming an FPGA Tracking Down Microcontroller Buffer Overflows with 0xDEADBEEF Too Quick to Code and Too Slow to Test? Understanding the Neurons in Neural NetworksEmbedded Neurons MAUI Programming for PC, Tablet, and SmartphoneThe New Framework in Theory and Practice USB Killer DetectorBetter Safe Than Sorry Understanding the Neurons in Neural NetworksArtificial Neurons A Bare-Metal Programming Guide Part 1: For STM32 and Other Controllers Part 2: Accurate Timing, the UART, and Debugging Part 3: CMSIS Headers, Automatic Testing, and a Web Server Introduction to TinyMLBig Is Not Always Better Microprocessors for Embedded SystemsPeculiar Parts, the Series FPGAs for BeginnersThe Path From MCU to FPGA Programming AI in Electronics DevelopmentAn Update After Only One Year AI in the Electronics LabGoogle Bard and Flux Copilot Put to the Test ESP32 and ChatGPTOn the Way to a Self-Programming System… Audio DSP FX Processor Board Part 1: Features and Design Part 2: Creating Applications Rust + EmbeddedA Development Power Duo A Smart Object CounterImage Recognition Made Easy with Edge Impulse Universal Garden LoggerA Step Towards AI Gardening A VHDL ClockMade with ChatGPT TensorFlow Lite on Small MicrocontrollersA (Very) Beginner’s Point of View Mosquito DetectionUsing Open Datasets and Arduino Nicla Vision Artificial Intelligence Timeline Intro to AI AlgorithmsPrompt: Which Algorithms Implement Each AI Tool? Bringing AI to the Edgewith ESP32-P4 The Growing Role of Edge AIA Trend Shaping the Future

Read (+) (–)

Program, build, and master over 50 projects with MicroPython and the RP2040 microprocessor The Raspberry Pi Pico is a high-performance microcontroller module designed especially for physical computing. Microcontrollers differ from single-board computers, like the Raspberry Pi 4, in not having an operating system. The Raspberry Pi Pico can be programmed to run a single task very efficiently within real-time control and monitoring applications requiring speed. The ‘Pico’ as we call it, is based on the fast, efficient, and low-cost dual-core ARM Cortex-M0+ RP2040 microcontroller chip running at up to 133 MHz and sporting 264 KB of SRAM, and 2 MB of Flash memory. Besides its large memory, the Pico has even more attractive features including a vast number of GPIO pins, and popular interface modules like ADC, SPI, I²C, UART, and PWM. To cap it all, the chip offers fast and accurate timing modules, a hardware debug interface, and an internal temperature sensor. The Raspberry Pi Pico is easily programmed using popular high-level languages such as MicroPython and or C/C++. This book is an introduction to using the Raspberry Pi Pico microcontroller in conjunction with the MicroPython programming language. The Thonny development environment (IDE) is used in all the projects described. There are over 50 working and tested projects in the book, covering the following topics: Installing the MicroPython on Raspberry Pi Pico using a Raspberry Pi or a PC Timer interrupts and external interrupts Analogue-to-digital converter (ADC) projects Using the internal temperature sensor and external temperature sensor chips Datalogging projects PWM, UART, I²C, and SPI projects Using Wi-Fi and apps to communicate with smartphones Using Bluetooth and apps to communicate with smartphones Digital-to-analogue converter (DAC) projects All projects given in the book have been fully tested and are working. Only basic programming and electronics experience is required to follow the projects. Brief descriptions, block diagrams, detailed circuit diagrams, and full MicroPython program listings are given for all projects described. Readers can find the program listings on the Elektor web page created to support the book.

Read (+) (–)

Bouw uw eigen RISC-V-controllerEerste stappen met de NEORV32 RISC-V softcore voor goedkope FPGA’s Het gebruik van Arduino’s seriële plotterGrafieken plotten met Arduino is gemakkelijk CLUE van AdafruitEen slimme oplossing voor IoT-projecten Bufferboard voor de Raspberry Pi 400Bescherm uw I/O’s Raspberry Pi RP2040-boards in overvloed Een handboek voor DHZ elektronische beveiliging en spionageSRAM – gebakken of diepgevroren Onderdelen identificerenTips & trucs, vakkunstigheden en andere nuttige informatie DHZ aanraakloze lichtschakelaar Alle begin......gaat compenseren en transformeren Nieuwe embedded-ontwikkelingenRust en het up-to-date houden van IoT-implementaties Infographics Hoe de industrie- en automobielsector zullen profiteren van 5G Relais met bewegende spoelVreemde onderdelen Oost West Lab BestAlles draait om de bank... Kennismaking met neuronen in neurale netwerkenDeel 4: embedded neuronen Magnetische levitatie “the very easy way”De derde en meest compacte versie PLC-programmering met de Raspberry Pi en het OpenPLC-projectVisualisatie van PLC-programma’s met AdvancedHMI Uit het leven gegrepenInpakken en wegwezen Onder de radarMicrocontrollers die u zou moeten kennen Draadloos monitoren en debuggenvoor Arduino, ESP32 en co. Draagbare temperatuur- en vochtigheidsmetermet gebruiksklare modules Lithium-accupacks reparerenSpaart geld + geeft meer kracht! GUI's maken met PythonMeme-Generator De drie grote vraagtekensWaarom wat wie Hexadoku

Read (+) (–)

Enhance your Raspberry Pi 5 with the Pironman 5, built with sturdy aluminum, superior cooling, NVMe M.2 SSD support, OLED display, RGB lighting, standard HDMI ports x2, and a secure power switch. It is perfect for NAS, Home Assistant, Media and Game Centers. The Pironman 5 is not just a case; it’s an upgrade that transforms your Raspberry Pi 5 into a powerful, efficient, and stylish device. The Pironman 5 includes the Pi 5 NVMe PIP (PCIe Peripheral Board), a PCIe adapter board specifically designed for NVMe solid-state drives. This board supports four sizes of NVMe SSDs: 2230, 2242, 2260, and 2280, all of which can be installed in an M.2 M key slot. The connection is certified for Gen 2.0 speeds (5 GT/sec), but can be forced to Gen 3.0 (10 GT/sec) for faster performance. Expandable NVMe M.2 SSD Slot Boost your Raspberry Pi 5's performance with the Pironman 5's NVMe M.2 SSD slot, supporting multiple sizes (2230, 2242, 2260, 2280) for increased storage and faster system response. Advanced Cooling System Keep your Raspberry Pi 5 cool and stylish with the Pironman 5's tower cooler and dual RGB fans, featuring dust filters for durable, low-maintenance operation. OLED Display for Instant Insights The Pironman 5 includes a 0.96" OLED display, providing immediate updates on CPU and RAM usage, temperature, IP address, and more. Enhanced Functionality and Safety The Pironman 5 secures your Raspberry Pi 5 with features like safe shutdown, customizable RGB LEDs, HDMI ports, an IR receiver, and an external GPIO extender, enhancing functionality and connectivity. Features Raspberry Pi 5 mini PC 0.96" OLED Display showing Raspberry Pi’s CPU usage, temperature, disk usage, IP address, RAM usage etc. Tower cooler can cool a 100% CPU load Pi to 39°C at 25°C room temperature 2 RGB Fans, with GPIO control 1 PWM Fan on the Tower Cooler is controlled by the Raspberry Pi system. Supports four (PCIe Gen 2.0 / PCIe Gen 3.0) NVMe M.2 SSD sizes: 2230, 2242, 2260, and 2280. 4 WS2812 Addressable RGB LED light up the whole case with cool light effect IR Receiver for multi-media center like Kodi or Volumio Retro metal power button for safe shut down External GPIO extender with pin name label, for easy access Equipped with a spring-loaded socket for easy card removal Aluminum main body with clear Acrylic side panel Features two standard HDMI ports Downloads Documentation

Read (+) (–)

Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. CaptureCountAn Object Detector and Counter on the Raspberry Pi 5 Voltage Reference With Arduino Pro MiniLinearize and Calibrate Your Analog Inputs FPGAs for BeginnersThe Path From MCU to FPGA Programming Update: STM32 Wireless Innovation Design Contest 2024 Bluetooth LE With MAUIControl Apps for Android & Co. Port-Expanding Breakout BoardIncrease the Number of I/Os on Your Dev Board AI SpecialistMachine Learning with the Jetson Nano 2024: An AI OdysseyFirst Forays Into TensorFlow 262,144 Ways to Play The Game of LifeA Reader’s Project in Brief From Life’s ExperienceThe Chinese Dragon Get Your (Brushed DC) Motor Running!Sample Projects from the Elektor Motor Control Development Bundle ESP32-RS-232 AdapterA Wireless Link for Classic Test Equipment Starting Out in Electronics……More About Opamps ESP Library Recommendations Piezoelectric DevicesPeculiar Parts, the Series A Smart Object CounterImage Recognition Made Easy with Edge Impulse Resolve Your Trickiest Embedded Development Challenges ESP32 TerminalA Handheld Device with a Touch-Capable Display Getting Started With the Zephyr RTOSAs Powerful as It Is Hard to Master Award-Winning EthicsA Dialog with CTO Alexander Gerfer of Würth Elektronik eiSos on Enabling Innovation and Mindful Behavior Err-lectronicsCorrections, Updates, and Readers’ Letters Infographics: Embedded and AI Square Wave Generation BenchmarksExploring ESP32, Pico, and Other Microcontrollers

Read (+) (–)

Elektor GREEN and GOLD members can download their digital edition here. Not a member yet? Click here. PbMonitor v1.0A Battery-Monitoring System for UPS and Energy Storage Applications Solar Charge Controller with MPPT (1)Basic Principles of a Solar Controller for Stand-Alone Systems B-Field Integration Magnetometer With Home-Made Sensors Precise or Accurate?Your Instruments Need to Be Both! AD7124 A Precision ADC in PracticeFeatures for Sensor Signal Conditioning PID Control ToolOptimize Your Parameters Easily embedded world 2025 Starting Out in Electronics……Continues with Tone Control Academy Pro BoxBook + Online Course + Hardware Milliohmmeter AdapterUses the Precision of Your Multimeter The Next Leap in SemiconductorsOnward Toward 1.4 nm Through-Hole Technology ConnectorsThe Best of Two Worlds: THR Frequency CounterPortable and Auto-Calibrating Via GPS Analog MetersPeculiar Parts, the Series Stand-Alone Crystal TesterHow Accurate Is Your Clock Source? Low-Cost I²C TesterConnect I²C Devices Directly to Your PC From Life’s ExperienceWho Doesn’t Honor the Small Things? 2025: An AI OdysseyThe Transformative Impact on Software Development Err-lectronicsCorrections, Updates, and Readers’ Letters Raspberry Pi Standalone MIDI Synthesizer (2)Enhancing Our Setup with Intelligence Nortonized Wien Bridge OscillatorSmall Changes Yield Significant Improvements Putting a $0.10 Controller to the TestThe CH32V003 RISC-V Microcontroller and MounRiver Studio in Practice An FPGA-Based Audio Player with Equalizer (2)Adding Volume Control, Advanced Mixing, and a Web Interface

Read (+) (–)