2-layer Raspberry Pi 4 HAT for a smart audio translation system with I2S microphone, I2S amplifier, speaker terminal, buttons, LEDs, protected 5V input, and test points.

Custom base PCB for a Blue AI figurine with ESP32-S3 Wi‑Fi/BLE, I2S microphone and speaker audio, LiPo battery charging, eye LEDs, and expansion wiring into the figure.

Portable ESP32-S3 smart hardware companion with USB Audio microphone, display, alerts, and LiPo power

Low-voltage logic-only CERILUME Phase 1 LED controller using an Arduino Nano ESP32 plug-in module, 5V logic level shifting for WS2812/SK6812 data, microphone input header, and labeled test pads. LED power distribution and high-current switching are intentionally out of scope.

Battery-less 2 mm cube audio node concept powered by inductive/RF harvesting, with MEMS microphone capture, RF SoC burst transmission, rectification, and ceramic buffer storage.

Low-power ESP32 audio/radio device with SA828 walkie-talkie module, MAX9814 microphone, PAM8403-driven GD14 bone-conduction output, and single-cell Li-ion charging, power-path, 3.3 V regulation, and battery monitoring.

Misty Pink Replicator schematic finalized for layout handoff with ESP32-S3, USB-C battery charging, T5838 always-on wake microphone, CI1302 backup ASR analog microphone front end, HTEW0154T8 SPI e-ink display, standardized power/test nets, and final ERC-clean baseline.

3.3 V acoustic sensor analog front-end using ZTS6216 MEMS microphone and TLV9062 gain/filter stages, tuned for 2.5 kHz response with ADC-ready output, test points, analog grounding, and manufacturable PCB rules.

ESP32-S3 CAM Audio-Visual Controller with I2S MEMS Microphone, Class-D Amplifier, SPI Display, Servos, Capacitive Touch and Integrated USB-C Power-Only Sink (VBUS via J6 -> 5V_IN -> SW1:P1 -> 5V_SW, CC1/CC2 5.1 kOhm to GND, VBUS TVS Surge Protection) + Added optional bulk electrolytic caps on 5V_SW near servo headers

ESP32-S3 CAM Audio-Visual Controller with I2S MEMS Microphone, Class-D Amplifier, SPI Display, Servos, Capacitive Touch and Integrated USB-C Power-Only Sink (VBUS via J6 → 5V_IN → SW1:P1 → 5V_SW, CC1/CC2 5.1 kΩ to GND, VBUS TVS Surge Protection) #USB_C #PowerManagement #5V

ESP32-S3 Audio Logger with Real-time Ambient Capture using I2S MEMS Microphone

Introducing our advanced RC Receiver Recorder with integrated 433MHz RF and PS4 controller support. This innovative device features 8 servo connections, enabling precise recording of movement routines directly onto an SD card for autonomous playback. With a built-in microphone input and dedicated audio output, it's perfect for synchronizing sound with motion for captivating animatronic and robotics projects. Elevate your creative projects with seamless control and dynamic performance. #RCReceiverRecorder #433MHzRF #PS4Controller #ServoControl #Animatronics #Robotics #SDCardRecording #AudioSync

XIAO MG24 Sense is an ultra-low-power wireless development board based on Silicon Labs' EFR32MG24 SoC, featuring a high-performance 78MHz ARM Cortex®-M33 core. It‘s Matter® native over Thread® and Bluetooth® Low Energy 5.3, all supported by the Arduino® Core. With 4MB Flash onboard, 19 GPIOs, LED, and charging circuit onboard, it boasts extremely low operating current and ultra-low-power modes, making it an ideal choice for IoT applications, especially battery-powered projects utilizing Matter® protocols. Additionally, the onboard analog microphone and six-axis IMU sensors make XIAO MG24 Sense a great fit for TinyML applications such as posture detection

Highly integrated single chip USB audio solution. All essential analog modules are embedded in CM108, including dual DAC and earphone driver, ADC, microphone booster, PLL, regulator, and USB transceiver.

Highly integrated single chip USB audio solution. All essential analog modules are embedded in CM108, including dual DAC and earphone driver, ADC, microphone booster, PLL, regulator, and USB transceiver.

Class AB Audio Amp with Aux and microphone inputs and adjustable volume control using potentiometers.

MIC_KMM3526982664DMB None KMM3526982664DMB Kingstate \nMEMS Microphone, High SNR, High AOP, SMD, 3.50*2.65*0.98mm, -26~±1dB, 1.8VDC, 100~10KHz, 64dBA\n In Stock None

Using the Raspberry Pi Pico microcontroller, I was able to design a hearing aid with volume control. The components and a description of why they were used: MCP3008 - CONVERTS ANALOG AUDIO SIGNALS INTO DIGITAL DATA CONVERTED BY THE MICROCONTROLLER MCP4725 - CONVERTS DIGITAL AUDIO SIGNALS TO ANALOG SO THE AUDIO CAN BE OUTPUTTED THROUGH A SPEAKER LM358 - USED TO AMPLIFY WEAK SIGNALS IN THE HEARING AID, REMOVES UNWANTED FREQUENCIES SPU0410LR5HQB - THIS COMPONENT IS A MICROPHONE, SPECIFICALLY CHOSEN BECAUSE IT IS OMNIDIRECTIONAL AND CAN CAPTURE AMBIENT SOUNDS, IT IS A SMALL COMPONENT PERFECTLY USED FOR NOISE REDUCTION, ASSISTING IN CAPTURING CLEAR AUDIO PAM8302AASCR - EFFICIENTLY AMPLIFIES AUDIO, AUDIO SIGNAL FROM DAC (VOUT) IS FED INTO THE INPUT OF THE AUDIO AMPLIFIER, WHICH OUTPUTS IDEAL FREQUENCY AUDIO CEM-1203(42) - SPEAKER WHICH OUTPUTS THE AUDIO AMPLIFIER MODIFIED FEATURE: POTENTIOMETER - WITH THE CCW CONNECTED TO GND, CW CONNECTED TO VDD, WIPER CONNECTED TO PIN 27 OF THE MICROCONTROLLER, THIS FEATURE IS A VOLUME ADJUSTER, WE ARE ABLE TO FULLY TURN OFF AND ON THE VOLUME BY ADJUSTING THE HEARING AID FOR THE IDEAL AUDIO OUTPUT

1. Overview: The Biskuit pendant is a wearable AI transcription assistant. An innovative device designed to seamlessly integrate into daily activities, providing real-time transcription and note-taking capabilities. Combining advanced AI algorithms with state-of-the-art hardware components, the device offers crystal clear audio recording, durable construction, and convenient features such as cloud synchronization, weatherproofing, and a vibrant display for animations and expressions. 2. Hardware Specifications: * Rechargeable Battery: Lithium-ion battery providing up to 150 hours of continuous operation. * Construction: Durable aluminum body ensuring longevity and protection against wear and tear. * Audio Quality: High-fidelity microphone array for clear and accurate transcription, with noise cancellation technology. * Weatherproofing: Sealed construction to withstand various weather conditions, making it suitable for outdoor use. * Versatile Mounting: Equipped with a magnetic clasp for easy attachment to clothing or accessories. * Connectivity: Wi-Fi and Bluetooth connectivity for seamless data transfer and integration with other devices. * Charging: USB-C port for fast and convenient charging, with support for various power sources. * Input Microphone Array: Multiple microphones strategically placed for optimal audio capture and transcription accuracy. * Display: Colorful screen for displaying animations, expressions, and status indicators, enhancing user interaction and personalization. 3. Software Features: * Real-time Transcription: Utilizes AI algorithms for instant transcription of spoken words into text, with high accuracy. * Note-taking: Automatically creates and organizes notes based on conversations, timestamps, and contextual cues. * Audio Recording: One-touch button for initiating audio recording, with options for manual or automatic saving. * Cloud Synchronization: Syncs transcription data to the cloud for easy access and retrieval from any device. * Speech Recognition: Advanced speech recognition technology for identifying speakers and distinguishing between multiple voices. * Language Support: Multilingual support for transcription and note-taking in various languages. * Customization: User-configurable settings for adjusting transcription preferences, language models, and display animations. * Security: Encryption and authentication protocols to ensure the privacy and security of transcription data. 4. Dimensions and Weight: * Dimensions: Compact and lightweight design for comfortable wearability. * Weight: Minimal weight to prevent discomfort during prolonged use. 5. Compatibility: * Operating Systems: Compatible with iOS, Android, and other major operating systems. * Applications: Integration with popular productivity and communication apps for seamless workflow management. 6. Warranty and Support: * Warranty: Manufacturer's warranty covering defects in materials and workmanship. * Support: Dedicated customer support for technical assistance, troubleshooting, and software updates. 7. Target Market: * Professionals: Ideal for professionals in various industries, including journalists, researchers, students, and business professionals. * Outdoor Enthusiasts: Suitable for outdoor activities such as hiking, camping, and fieldwork where reliable transcription and note-taking are essential. * Everyday Users: Provides convenience and efficiency for everyday tasks, such as meetings, lectures, and personal reminders. 8. Conclusion: The Wearable AI Transcription Assistant sets a new standard for wearable technology, offering unmatched transcription and note-taking capabilities in a compact and durable package. With its advanced features, seamless connectivity, vibrant display, and user-friendly design, it is poised to revolutionize how we capture and manage information in our daily lives while adding a touch of personality and fun with customizable animations and expressions.

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.

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.

The board consists of 16 LEDs arranged in a circle and 3 microphones, which are connected to the RPI Pico. The RPI Pico reads the sound input from the microphones, calculates the location of the sound, and turns on the corresponding LED(s) in the circle.

Left-ear prototype for Project Aura: a BLE hearing-device/IEM concept with nRF5340 compute, rechargeable LiPo power, digital microphones, flash storage, USB-C, and a multi-driver in-ear body. Current status: requirements captured; schematic capture is blocked pending audio/flex architecture correction.

Four-layer ESP32-S3 robotic leak-detection and pipe-marking controller with protected 12 V distribution, high-current 5 V power, microphones, servos, marker motor driver, TB6600 control, and myRIO UART.

Portable ESP32-S3 AI voice assistant development board with USB-C programming, LiPo charging, OLED, I2S microphone/amplifier, SPI flash, and microSD expansion.