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 Smart Thermostat design using an ESP32 module for WiFi connectivity and a BME680 sensor for environmental monitoring. The user interface includes an E-ink display and an encoder for settings adjustment. Power is managed through a USB-C connector with a 3.3V regulator. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #thermostat #referenceDesign #edge-computing #edgeComputing #espressif #template #reference-design

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #Seeed #XIOA #LoRa #RP2040 #IoT

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #Seeed #XIOA #LoRa #RP2040 #IoT

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #Seeed #XIOA #LoRa #RP2040 #IoT

This bee hotel version is an intermediary version that implements some featuresets. The main feature that we are leaving out is Matter support over Zigbee (for a wider range in the backyard). In this version, we are implmenting: -Legacy WiFi/BT connectivity. -Camera with flash capability -Solar Charging -Energy Storage -Humidity and Temp Sensor

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #Seeed #XIOA #LoRa #RP2040 #IoT

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #SeeedStudio #XIAO #LoRa #RP2040 #IoT

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #SeeedStudio #XIAO #LoRa #RP2040 #IoT

This is a WiFi Soil Monitor reference design based on ESP32-S3 microcontroller for WiFi connectivity, a Type-C USB for power #referenceDesign #simple-embedded #espressif #template #reference-design

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

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.

Template for STM32 Nucleo-32 development board with STM32F303K8 MCU, supports Arduino nano connectivity #project-template #template #stm32

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

This is a motion detector circuit using an ESP32 microcontroller and PIR sensor. It features USB-C connectivity, RGB LED indication, push buttons and is powered by a 3.3V supply. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #PIR #esp32 #reference-design

Introducing my USB-C to 4 USB-A Hub V1, a compact and efficient solution for expanding your device's connectivity. Easily connect multiple USB-A peripherals to a single USB-C port. The USB-C and USB-A high speed differential pairs were done with the help of Flux Automated Impedance Control. #USBCHub #Connectivity #project

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #internetOfThings #smartHomeDevices #SeeedStudio #XIAO #LoRa #RP2040 #IoT

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 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.

The Coffee Waker is a unique, full-featured coffee maker alarm clock designed to brighten your morning routine with the irresistible aroma of freshly brewed coffee. By seamlessly integrating multiple high-performance components onto a single main board, the Coffee Waker delivers both functionality and innovation: - **Processing & Connectivity:** Powered by an ESP32-S3, it offers built-in WiFi and Bluetooth, enabling smart scheduling, remote control, and over-the-air updates. - **Precision Sensing:** A 16-bit load cell ADC provides accurate measurements, ensuring precise weight sensing for coffee bean dosing or liquid volume monitoring. - **Quality Audio Output:** The onboard 16-bit MP3 DAC guarantees clear audio playback, from alarm sounds to any custom wake-up messages you program. - **Robust Power Handling:** With a 120V heater cartridge relay and a 12V wakeup light converter integrated, the board safely manages high voltage switching and provides a visually soothing light routine. - **Thoughtful Integration:** Designed with automotive-grade components, precision regulators, and careful signal routing, the Coffee Waker Main Board combines performance with reliability while keeping a compact footprint. Overall, the Coffee Waker transcends the ordinary alarm clock, merging daily utility with modern connectivity and a touch of luxury—making it the perfect addition to any nightstand. #CoffeeWaker #SmartHome #CoffeeMaker #AlarmClock #MorningRoutine #Technology #Innovation

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

This project is an IoT development board based on the ESP32-H2-WROOM-03 module, featuring USB-C connectivity for power and communication. The board also includes two buttons, several decoupling capacitors, and a couple of connectors for peripheral connections. The onboard USB-to-UART bridge facilitates communication with a host device. #referenceDesign #esp32 #iot #esp32-h2 #project #template #reference-design

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

THIS IS A TEST PROJECT DON'T COPY THE CONNECTIVITY I HAVEN'T TESTED ANYTHING OR THOUGHT VERY HARD AT ALL ABOUT IT

This project is an IoT development board based on the ESP32-H2-WROOM-03 module, featuring USB-C connectivity for power and communication. The board also includes two buttons, several decoupling capacitors, and a couple of connectors for peripheral connections. The onboard USB-to-UART bridge facilitates communication with a host device. #referenceDesign #esp32 #iot #esp32-h2 #project #template #reference-design

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 is a playground project based on the AvocAudio board which 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. #raspberryPi #rp2040 #lorawan #iot #solar

This project is a Smart Thermostat design using an ESP32 module for WiFi connectivity and a BME680 sensor for environmental monitoring. The user interface includes an E-ink display and an encoder for settings adjustment. Power is managed through a USB-C connector with a 3.3V regulator. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #thermostat #referenceDesign #edge-computing #edgeComputing #espressif #template #reference-design

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

Small, inexpensive AI pendant. Records sound after user presses a button. Indicate behavior with RGB LED. Onboard processing and cloud connectivity through mobile phone tethering.

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

This is a motion detector circuit using an ESP32 microcontroller and PIR sensor. It features USB-C connectivity, RGB LED indication, push buttons and is powered by a 3.3V supply. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #PIR #esp32 #reference-design

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. #raspberryPi #rp2040 #lorawan #iot #solar

The "Green Dot 2040E5" Board is a Node that interfaces RS485 Sensor probes and can log information to the cloud using LoRa Connectivity. It uses the XIAO RP2040 and the LoRa-E5 (STM32WLE5JC) modules from Seeed Studio to do its magic. It also has amazing power management capabilities (Solar charging, Battery protection, etc) that make it very useful for IoT applications #SeeedStudio #XIAO #LoRa #RP2040 #IoT

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. #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. #raspberryPi #rp2040 #lorawan #iot #solar

This project is a Smart Thermostat design using an ESP32 module for WiFi connectivity and a BME680 sensor for environmental monitoring. The user interface includes an E-ink display and an encoder for settings adjustment. Power is managed through a USB-C connector with a 3.3V regulator. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #thermostat #referenceDesign #edge-computing #edgeComputing #espressif #template #reference-design

This is a WiFi to Infrared (IR) gateway reference design leveraging an ESP32-S3 microcontroller for WiFi connectivity. It also incorporates a Type-C USB interface for data and power, 3 LEDs (red, green, & IR), and voltage regulation. It facilitates wireless control of IR devices, suitable for home automation projects. #referenceDesign #edge-computing #espressif #template #IR #project #reference-design

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a WiFi RF-ID Lock, which uses a Espressif ESP-8684 microcontroller for WiFi connectivity and a Handson Technology RC522 for RF-ID functionality. It also includes an OLED display and user control via a switch. A step-up power converter ensures consistent 3.3V power. #WiFi #MCU #ReferenceDesign #project #ESP8684 #lock #OLED #referenceDesign #simple-embedded #espressif #template #reference-design

This is a motion detector circuit using an ESP32 microcontroller and PIR sensor. It features USB-C connectivity, RGB LED indication, push buttons and is powered by a 3.3V supply. #referenceDesign #edge-computing #edgeComputing #espressif #template #iot #PIR #esp32 #reference-design

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. #raspberryPi #rp2040 #lorawan #iot #solar

This bee hotel version is an intermediary version that implements some featuresets. The main feature that we are leaving out is Matter support over Zigbee (for a wider range in the backyard). In this version, we are implmenting: -Legacy WiFi/BT connectivity. -Camera with flash capability -Solar Charging -Energy Storage -Humidity and Temp Sensor

This project is a Smart Thermostat design using an ESP32 module for WiFi connectivity and a BME680 sensor for environmental monitoring. The user interface includes an E-ink display and an encoder for settings adjustment. Power is managed through a USB-C connector with a 3.3V regulator. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #thermostat #referenceDesign #edge-computing #edgeComputing #espressif #template #reference-design

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. #raspberryPi #rp2040 #lorawan #iot #solar