A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication.

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication. #smartHomeDevices

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

Charger IC Lithium Ion/Polymer I2C Controlled, 1- to 4-Cell, 3-A Buck Battery Charger with Dual-Input Selector, MPPT for Solar Panels and Integrated ADC 29-VQFN-HR (4x4)

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication.

The HOTCHIP HT4936S is a sophisticated mobile power management integrated circuit designed by Hotchip, optimized for portable power solutions that require efficient charging and power management capabilities. This advanced component integrates features for charging and discharging through a common port, automatic load detection for boost startup and shutdown, four-light battery level indication, and a low battery alert functionality. The HT4936S stands out for its ability to manage 1A input/output with minimal external components, leveraging synchronous rectification to enhance efficiency and reduce thermal footprint. Additionally, it supports a versatile charging protocol accommodating both 4.20V and 4.35V batteries, and is packaged in a compact SOP16 form factor, ensuring a low-cost, space-efficient solution for a wide range of mobile power applications including power banks, backup power supplies, and lithium battery chargers. It incorporates protection features against battery overcharge, over-discharge, and thermal overload, thereby ensuring reliable operation across a range of conditions. Furthermore, the HT4936S facilitates direct LED drive and includes an NTC thermistor input for temperature monitoring, making it an all-encompassing solution for power management in consumer electronics.

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication.

TP5100 is an integrated Lithium battery charger that has a switch mode buck topology. It has all the integrated functions to charge a single or dual cell Lithium battery, along with a few peripheral components #bms

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

TP5100 is an integrated Lithium battery charger that has a switch mode buck topology. It has all the integrated functions to charge a single or dual cell Lithium battery, along with a few peripheral components #bms

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication.

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication. Inspired by the open-source project diyBMS by Stuart Pittaway #smartHomeDevices #esp32 #iot

Charger IC Lithium Ion 16-VQFN (3x3) #charger #lithium #part

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication. Inspired by the open-source project diyBMS by Stuart Pittaway #smartHomeDevices #esp32 #iot

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication. Inspired by the open-source project diyBMS by Stuart Pittaway #smartHomeDevices #esp32 #iot

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication. #smartHomeDevices

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication.

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication.

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication.

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

A WIP power connector interface (i.e. even smaller than mito) to make small rechargeable Lithium cells easily swappable

A smart ESP32-based battery management system controller board for Lithium ion battery packs/cells. Capable of communicating to wide varieties of hybrid-smart inverters with CANbus, RS485 and UART communication.

Environmental exposure risk measuring device based on ESP32, ultraviolet light (UV) and CO2 gas sensor modules. It has a voltage booster based on MT3608 chip and a solar panel lithium battery charger with MPPT based on CN3791 chip.

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

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.

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

This project is a Lithium-ion battery charger circuit utilizing the LTC4054 integrated circuit. It includes input and output connectors, a charging current programming resistor, decoupling capacitors, and a charge status indicator LED. The design can deliver up to 800mA charge current. #project #Template #charger #referenceDesign #batterycharger #template #bms #analog #reference-design #polygon

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 Lithium-ion battery charger circuit utilizing the STC4054 integrated circuit. It includes input and output connectors, a charging current programming resistor, decoupling capacitors, and a charge status indicator LED. The design can deliver up to 800mA charge current. #project #Template #charger #reusable #module #batterycharger #template #bms #STC4054 #stm

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 Advanced Dual Cell Lithium-Ion/Lithium-Polymer Charge Management Controllers utilizing the MCP73844 integrated circuit. It includes input and output connectors, a charging current programming resistor, decoupling capacitors, and a charge status indicator LED. #project #Template #charger #MCP73844 #2cell #referenceDesign #batterycharger #template #bms #microchip #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. #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

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 Lithium-ion battery charger circuit based on LTC4007 IC. The design incorporates n-channel power MOSFETs and extensive protection features for overcurrent, overvoltage, undervoltage, and overtemperature conditions. It is ideal for portable, battery-powered systems. #project #LTC4007 #ReferenceDesign #charger #BatteryManagement #reusable #module #bms #analog #template

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 Lithium-ion battery charger circuit based on LTC4007 IC. The design incorporates n-channel power MOSFETs and extensive protection features for overcurrent, overvoltage, undervoltage, and overtemperature conditions. It is ideal for portable, battery-powered systems. #project #LTC4007 #ReferenceDesign #charger #BatteryManagement #reusable #module #bms #analog #template

This project is a Lithium-ion battery charger circuit utilizing the LTC4054 integrated circuit. It includes input and output connectors, a charging current programming resistor, decoupling capacitors, and a charge status indicator LED. The design can deliver up to 800mA charge current. #project #Template #charger #reusable #module #batterycharger #template #bms #analog

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

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 Lithium-ion battery charger circuit based on LTC4007 IC. The design incorporates n-channel power MOSFETs and extensive protection features for overcurrent, overvoltage, undervoltage, and overtemperature conditions. It is ideal for portable, battery-powered systems. #project #LTC4007 #ReferenceDesign #charger #BatteryManagement #reusable #module #bms #analog #template

This project is a Lithium-ion battery charger circuit based on LTC4007 IC. The design incorporates n-channel power MOSFETs and extensive protection features for overcurrent, overvoltage, undervoltage, and overtemperature conditions. It is ideal for portable, battery-powered systems. #project #LTC4007 #ReferenceDesign #charger #BatteryManagement #reusable #module #bms #analog #template