Raspberrypi Pico-based sampler, sequencer + drum machine w/ an embedded speaker, Adafruit I2S amplifier and momentary step switches, evoking the tr808 synthesizer ⁠

This project designs a Linux Single Board Computer using STM32MP157FAC1, featuring DDR memory, a power management IC, USB and SD card interfaces, and essential user controls, aimed at versatile embedded applications.

Portable Audio DSP project utilizing multiple ICs, capacitors, resistors, and LEDs for advanced audio processing and control. Designed for embedded audio applications with ESP32, ADC, DAC, and interface components. #audioDevices #DSP #ADC #audio #DAC

Template for RT1062 Teensy 4.1 series ARM® Cortex®-M7 MPU Embedded Evaluation Board #template #project-template

Template for ATmega32U4 Arduino Micro AVR® ATmega AVR MCU 8-Bit Embedded Evaluation Board #project-template #template #arduino #micro

This General-Purpose- Alarm-Device repository defines a 'General Purpose Alarm Device' aka, GPAD module. This module has an enclosure and inside is an embedded microcontroller system. #internetOfThings #smartHomeDevices

Raspberrypi Pico-based sampler, sequencer + drum machine w/ an embedded speaker, Adafruit I2S amplifier and momentary step switches, evoking the tr808 synthesizer ⁠

The Texas Instruments MSP430FR604x and MSP430FR603x family comprises highly integrated ultrasonic sensing and measurement system-on-chips (SoCs) designed specifically for water and heat metering applications. The featured components, including MSP430FR6047, MSP430FR60471, MSP430FR6045, MSP430FR6037, MSP430FR60371, and MSP430FR6035, deliver best-in-class ultrasonic water flow measurement with ultra-low power consumption. These microcontrollers excel with an active mode current consumption of approximately 120 µA/MHz and a standby mode power draw as low as 450 nA with a real-time clock (RTC) enabled. Key functionalities include a high-precision differential time-of-flight (dTOF) accuracy of less than 25 ps, integrated analog front-end, programmable pulse generation (PPG), and an analog comparator. They also interface directly with standard ultrasonic sensors up to 2.5 MHz and feature up to 256KB FRAM, robust RAM options, and integrated LCD drivers for up to 264 segments. The embedded low-energy accelerator (LEA) enhances digital signal processing capabilities, making these components ideal for battery-powered metering solutions. Peripherals include multiple enhanced serial communication interfaces, high-performance ADCs, DMA controllers, and a suite of timers and encryption modules. These features combine to offer a powerful solution for high-accuracy, low-cost, and ultra-low-power metering applications.

Welcome to your new project. Imagine what you can build here.

ATmega2560 Arduino Mega2560 AVR® ATmega AVR MCU 8-Bit Embedded Evaluation Board WITHOUT 3D model #Arduino #mega #2560 #ATMEGA2560 #template #project #project-template #Shield

Portable Audio DSP project utilizing multiple ICs, capacitors, resistors, and LEDs for advanced audio processing and control. Designed for embedded audio applications with ESP32, ADC, DAC, and interface components. #DSP #ADC #audio #DAC

Template for ABX00027. ATSAMD21G18A Arduino Nano 33 IoT SAM D ARM® Cortex®-M0+ MCU 32-Bit Embedded Evaluation Board #project-template #template

Product Type: Wearable AI pendant Primary Function: Records audio, generates transcripts, and organizes information about daily interactions User Interaction: Input: Activation button Output: RGB LED ring, Bluetooth link to phone Key Features: Audio Recording: Activated by button press Transcription: Converts audio to text Sentiment Analysis: Embedded AI evaluates sentiment Information Management: Filters essential information and action items Technical Specifications Form Factor: Wearable pendant Display: RGB LED ring around the edge Sensors: 2 Microphones 1 Button Connectivity: Bluetooth for phone linkage Wi-Fi USB-C for charging Wireless Protocol: Wi-Fi, Bluetooth Battery Type: LiPo 2000 mAh Battery Life: 6 hours of continuous use Charging Method: USB-C Operating Voltage: 3.3V Operating Conditions: Temperature Range: -10°C to 70°C Humidity: 10 to 90% Software: Python for AI and processing Compliance: RoHS, FCC, CE Reliability: 20,000 hrs Life Cycle Expectancy: 10 years AI Capabilities Speech to Text Recognition: Converts audio input to written text Embedded AI Sentiment Analysis: Evaluates the mood or sentiment expressed in the text Essential Information Filtering: Identifies and segregates crucial data and actionable items Power Consumption and Efficiency Power consumption must align with battery capacity to ensure 6 hours of continuous operational use.

This project designs a Linux Single Board Computer using STM32MP157FAC1, featuring DDR memory, a power management IC, USB and SD card interfaces, and essential user controls, aimed at versatile embedded applications.

Portable Audio DSP project utilizing multiple ICs, capacitors, resistors, and LEDs for advanced audio processing and control. Designed for embedded audio applications with ESP32, ADC, DAC, and interface components. #audioDevices #DSP #ADC #audio #DAC

The Ariel AI Chip, a pioneering component in the field of artificial intelligence hardware, integrates advanced features designed to enhance computational efficiency and AI processing capabilities. This chip is distinguished by its utilization of a quad-core CPU with a clock speed of 2GHz, operating on a radical transistor architecture that promises significant improvements in speed and power efficiency. Key components that constitute the Ariel AI Chip include a DC power supply with a 5V output (DCPS-5V), NPN transistors (NPN-TRANS-001 and NPN-TRANS-002) that serve as the fundamental switching elements, precision resistors (RES-1K and RES-1K-002) each with a resistance of 1kΩ, and a capacitor (CAP-10UF) rated at 10μF to stabilize voltage and filter noise. This chip is designed for integration into systems requiring advanced AI capabilities, offering a comprehensive solution for developers looking to leverage machine learning and artificial intelligence in their applications. With its innovative architecture and component selection, the Ariel AI Chip stands out as a versatile and powerful tool for a wide range of AI applications, from embedded systems to more complex computational platforms.

ATSAMD21G18 Feather M0 Basic Proto series ARM® Cortex®-M0+ MCU 32-Bit Embedded Evaluation Board

Seeed Studio XIAO ESP32S3 leverages dual-core ESP32S3 chip, supporting both Wi-Fi and BLE wireless connectivities, which allows battery charge. It integrates built-in camera sensor, digital microphone. It offers 8MB PSRAM, 8MB FLASH, and external SD card slot. All of these make it suitable for embedded ML, like intelligent voice and vision AI. #SeeedStudio #xiao

IP65 Marine/Industrial Embedded Computer with Raspberry Pi CM5 and Integrated Power Resilience

ATmega328 Arduino Nano series AVR MCU 8-Bit Embedded Evaluation Board

This project designs a Linux Single Board Computer using STM32MP157FAC1, featuring DDR memory, a power management IC, USB and SD card interfaces, and essential user controls, aimed at versatile embedded applications.

The Wio-WM1110 is a fusion positioning module for developing low-power, long-range IoT applications. It's embedded with Semtech LR1110 and Nordic nRF52840, features Semtech's LoRa technology for long-range wireless communication, GNSS, Wi-Fi, and Bluetooth for location tracking services.

Raspberrypi Pico-based sampler, sequencer + drum machine w/ an embedded speaker, Adafruit I2S amplifier and momentary step switches, evoking the tr808 synthesizer ⁠

Portable Audio DSP project utilizing multiple ICs, capacitors, resistors, and LEDs for advanced audio processing and control. Designed for embedded audio applications with ESP32, ADC, DAC, and interface components. #DSP #ADC #audio #DAC

Template for ATmega32U4 Arduino Micro AVR® ATmega AVR MCU 8-Bit Embedded Evaluation Board #project-template #template #arduino #micro