Check out the winning project at the SF climate hardware hack! This project intends to bring smart IoT capabilities to homes for native bees so that more people can provide them housing and we can all participate in citizen science to gather more information about the bees! Requirements: -Daytime Operation Only -Track Bee Input/Output Directionality -Connects to House via WiFi Features: -MPPT Solar Power Conditioning -96% efficient IR LED Drive Next Version Feature Wants: Microphone!

Simple audio peak detector for electret microphones.

Check out the winning project at the SF climate hardware hack! This project intends to bring smart IoT capabilities to homes for native bees so that more people can provide them housing and we can all participate in citizen science to gather more information about the bees! Requirements: -Daytime Operation Only -Track Bee Input/Output Directionality -Connects to House via WiFi Features: -MPPT Solar Power Conditioning -96% efficient IR LED Drive Next Version Feature Wants: Microphone!

First in the world hands-free Otherside communication device! You need only the board, spirit or ghost don't need to move the ouija anymore. Symbols will light up from the inside so you will be able to read your messages and spirit or ghost just need to turn on a red bottom entry LED. Two MEMS microphones allow your interlocutor to clearly hear your questions. WiFi connectivity gives you an opportunity to "dial" without a Medium anytime anywhere. And it has Bluetooth as well, because: "Everything is better with Bluetooth"! This board is powered by a single 10440(AAA) LiFePO4 battery that gives you up to 2 hours of seance. Designed by Vasyl Skral

Real-time sinewave display using Digispark and microphone input. Visualize sound waves in real-time. #RealTimeVisualization #Digispark #Microphone #Sinewave #AudioVisualization

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

AvocAudio is a compact tinyML community board designed for extensive audio data collection for various tinyML applications. It leverages the Raspberry Pi RP2040 and integrates a LoRa-E5 LoRaWAN Transceiver Module for connectivity. Equipped with an SD card slot for local data storage, the board ensures efficient data collection. The board operates on solar power or a lithium-ion battery, ensuring flexible and efficient energy use. #audioDevices #raspberryPi #rp2040 #lorawan #iot #solar

1. Overview: The Pundit 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.

Rainbow is a pet collar project that would be programmed to send its location alerts whenever your pet is out of a predefined geofence. It also has a microphone and an accelerometer sensor to enable pet owners monitor their pets activities remotely #Pets #geofence #geolocation #collar #template

Requirements: -Daytime Operation Only -Track Bee Input/Output Directionality -Connects to House via WiFi TODO: -Connect EN high or low on MPPT IC -Finish Routing -Check Fill Thing Features: -MPPT Solar Power Conditioning -96% efficient IR LED Drive Next Version Feature Wants: Microphone!

This project involves designing a PCB for the lid assembly of an open-source laptop. The design integrates various sensors, including a microphone, camera, and ambient light sensor, ensuring precise alignment with the display glass. It features touch sensors to control LED lighting, spring-loaded contacts for touch-key interaction, and 3D-printed light diffusers for efficient lighting. Additionally, the PCB includes a power management system with status LEDs and a PFC for connecting to the external laptop PCB. The goal is to create a versatile, upgradeable, and user-friendly component for the laptop's lid. Specific parts of the project include 1. Microphone - Audio input capture 2. Ambient Light Sensor Module - Light intensity measurement 3. Camera - Video capture 4. LDO Regulators (3 TLV74 Series) - Voltage regulation for different components 5. Crystal - Clock generation 6. Touch Sensor Controller - Touch-key interaction 7. Flip-Flop - State keeping in logic circuits 8. LEDs (LTRBR37G Series) - Lighting indication 9. FPC Connector - Interface with main laptop PCB

This is a Kitchen Assistant Reference Design that runs on an ESP32 that connects to the network. The board has a microphone and bazer for communication and a display #referenceDesign #edge-computing #edgeComputing #espressif #template #esp32 #iot #i2s #reference-design

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

A simple walkie-talkie circuit running off an Arduino Nano. Utilizes a BJT to amplify the microphone voltage and transmits the radio signal through a nRF24L01 series Transceiver.

This is a Kitchen Assistant Reference Design that runs on an ESP32 that connects to the network. The board has a microphone and bazer for communication and a display #referenceDesign #edge-computing #edgeComputing #espressif #template #esp32 #iot #i2s #reference-design

This project is a Wearable AI Camera designed to integrate multiple components such as a Murata Bluetooth module, Crypto controller, and various sensors like the STMicroelectronics Time-of-Flight sensor and microphone. It's powered by a diverse set of power nets and connects through different communication protocols. #wearableDevices

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.

Voice Controlled Toy Car powered by the PocketBeagle single board computer and featuring two L293D motor drivers and two SPH0645LM4H-B MEMS microphones, this innovative project allows you to control your toy car's movements with just your voice. Perfect for hobbyists and DIY enthusiasts alike, this project is a must-have for anyone looking to take their electronic skills to the next level. #project #motorControllers

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

Microphone module with volume control and 3.5mm jack return and XLR3 output, in progress

Real-time sinewave display using Digispark and microphone input. Visualize sound waves in real-time. #RealTimeVisualization #Digispark #Microphone #Sinewave #AudioVisualization

This project is a dual channel SPH0645LM4H-B microphone controlled by ESP32 Template #audioDevices #audio #esp32 #recorder #SPH0645LM4H-B #referenceDesign

Design a low-noise microphone preamplifier for an electret condenser mic.

This project is a dual channel SPH0645LM4H-B microphone controlled by ESP32 Template #audioDevices #audio #esp32 #recorder #SPH0645LM4H-B #referenceDesign

This project is a dual channel SPH0645LM4H-B microphone controlled by ESP32 Template #audioDevices #audio #esp32 #recorder #SPH0645LM4H-B #referenceDesign

SSM2167-1RMZ-R7 Microphone Audio mikroBUS™ Click™ Platform Evaluation Expansion Board #EvaluationBoard #SSM2167-1RMZ-R7 #project #template

SSM2167-1RMZ-R7 Microphone Audio mikroBUS™ Click™ Platform Evaluation Expansion Board #EvaluationBoard #SSM2167-1RMZ-R7 #project #template

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

This Gerber file contains the necessary information for fabricating the PCB design of a Bluetooth-enabled headphone. The design includes multiple layers, showcasing the electrical connections and component placements on both the top and bottom layers. Top Layer (Copper traces and components): The top copper layer is primarily responsible for routing the signals from key components such as the ESP32 module, MAX98357A audio amplifier, and the microphone. The ESP32 module, responsible for Bluetooth communication, is positioned centrally to optimize signal flow and minimize interference. Decoupling capacitors (100nF) are placed near critical components to ensure signal stability and noise suppression. Audio signal paths, as well as power distribution, are carefully routed to prevent cross-talk and ensure high-quality sound. Bottom Layer (Copper traces): The bottom layer contains the ground plane and additional routing for power and signal connections. The charging module (TP4056) and voltage regulator (AMS1117) are placed to manage power distribution, ensuring stable battery charging and regulated output for the ESP32 and other components. Connections to external interfaces such as the MicroSD breakout and auxiliary input are routed efficiently to avoid conflicts. Additional Components: All critical components are labeled, including decoupling capacitors (100nF) and resistors where needed, as well as external interfaces like the MicroSD card breakout. Mounting holes are provided for secure installation in a headphone casing, ensuring the board can be integrated seamlessly into the final product. The PCB is designed to minimize noise, with short signal paths and proper grounding for high-fidelity audio performance. This Gerber file ensures accurate manufacturing by containing data for copper layers, silkscreen, solder mask, and drill files.

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.

Rainbow is a pet collar project that would be programmed to send its location alerts whenever your pet is out of a predefined geofence. It also has a microphone and an accelerometer sensor to enable pet owners monitor their pets activities remotely #Pets #geofence #geolocation #collar #template

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.

This project is a Wearable AI Camera designed to integrate multiple components such as a Murata Bluetooth module, Crypto controller, and various sensors like the STMicroelectronics Time-of-Flight sensor and microphone. It's powered by a diverse set of power nets and connects through different communication protocols. #wearableDevices

Rainbow is a pet collar project that would be programmed to send its location alerts whenever your pet is out of a predefined geofence. It also has a microphone and an accelerometer sensor to enable pet owners monitor their pets activities remotely #Pets #geofence #geolocation #collar #template

This project is a cough detector. It has a microphone that captures the sound and the ESP32 process it through a machine learning model, classifying it as a cough or not.

Rainbow is a pet collar project that would be programmed to send its location alerts whenever your pet is out of a predefined geofence. It also has a microphone and an accelerometer sensor to enable pet owners monitor their pets activities remotely #Pets #geofence #geolocation #collar #template

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

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.

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

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.

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.