This design implements a USB security token powered by an STM32 microcontroller. The device is engineered for compactness and efficient PCB integration while ensuring robust security features. Key elements of the design include: - **Microcontroller Core:** A STM32F103T8U6 serves as the primary processing unit, handling USB communication and security protocols. - **USB Interface:** A USB-A plug provides connectivity to the host. Dedicated net portals ensure proper routing of the VBUS, D+, D–, and ground signals. - **Power Regulation:** A low-dropout regulator supplies a stable 3.3V operating voltage, ensuring low noise and proper current supply to the microcontroller and peripherals. - **Signal Conditioning and EMI Filtering:** An EMI filter is used to maintain signal integrity and reduce interference while preserving the security token’s functionality. - **Synchronous Elements:** A ceramic resonator is incorporated to provide a precise clock source for USB data transfer and microcontroller operations. - **Additional Components:** Surface-mount resistors, capacitors, and LED indicators are deployed to ensure proper conditioning, decoupling, and status feedback. Their compact 0402 packages facilitate a highly integrated design. - **Connectivity and Net Portals:** Custom net portals are used throughout the schematic to streamline connectivity and PCB layout, keeping the design modular and easy to modify. This USB security token is designed with industry-standard components and robust connectivity to ensure secure, reliable operation in portable security applications. #USBToken #STM32 #PCBDesign #SecurityTechnology #PortableSecurity #Microcontrollers #USBInterface #PowerRegulation #EMIProtection #CompactDesign

This project is a reference design for an ESP32-WROOM-32E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #simpleEmbedded #espressif #template .

This is a Pet Tracker Reference Design based on STM32L4. Tracker connects with network by SIM800L module connected to the STM. Also MCU connected to the GPS by uart and send data to server #STM32 #GPS #G4 #G3 #LTE #IoT #Tracker #smartHomeDevices #referenceDesign #edge-computing #edgeComputing #stm #template #referenceDesign

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

Overview: BME280 Sensor data -> uSD card Click on the bubble comments to see copilot design this project! Very impressed copilot routed all the SPI buses accurately for me. TODO: Just realized that there is no footprint for the SD Card holder, gotta add that Also, there needs to be a way to program the ATTINY841, Probably over UART?

3D Camera Module is a scalable SPI enabled 4 camera array pinout for 3D photogrammetry reconstruction which uses I2C to connect between each module to expand camera capacity while keeping capture sequences in sync. It uses ATMega32U4 with its built in USB 2.0 for data transfer and camera array adjustments and capture as well as a micro SD card slot for local image storage. An interrupt logic pinout should be used on the SPI master module as capture command. Each module is powered via USB-C (5V) or barrel jack (12V regulated to 5V).

This Weather Station Logger project employs the versatile ESP32 microcontroller board, integrated with an SD card slot for data storage. It features a USB interface for easy programming and is efficiently powered by a single 18650 battery, complete with a protection circuit for safe operation. #iot #esp32 #lora #weather #edgecomputing

sEMG-DAQ is a wearable 6 channel data acquisition unit for capturing surface electromyographic (sEMG) signals from human arm muscles using SJ2-3593D jack connectors while conditioning, digitizing, processing and transmitting them as sEMG data to an external AI accelerated board through an SM12B-SRSS IDC connector where AI models are run for various applications including robotic control, muscle signals medical assessment and gesture recognition. The board leverages an INA125P instrumentation amplifier together with filter stages utilizing LM324QT op-amps for conditioning and an STM32G4A1VET6 microcontroller for the digitization, processing and data transmission of the signals. Since AI models can only be as good as the data, the design of such a DAQ is necessary to ensure clean, reliable and real-time data for AI applications requiring sEMG data. The board also has USB-FS and JTAG to cater for debugging. The power (5V) is fed through a screw terminal and is regulated by two LDK320AM LDO regulators to offer 5V, 3.3V and 1.8V to meet the requirements of various components on the board.

This is a reference design for TJA1059TKJ Dual high-speed CAN transceiver with Standby mode. It offers advanced features, such as wake-up capability and high-speed data rates, making it suitable for automotive and industrial applications. #MCP25612FD #CANbus #transceiver #highspeed #automotive #referenceDesign #project #CANbus #interface #transceiverCircuit #TJA1059TKJ #referenceDesign #canbus #nxp #template #reference-design

This project is a reference design for an ESP32-S2-MINI-1U based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32S2 #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a LoRa data logger implementing the i.MX RT1010 microcontroller. It collects and logs data through the LoRa-E5 module and stores the data via a TF card. Capacitors and resistors are used to construct the necessary circuits, ensuring proper functionality. This system is ideal for long-distance, low-power IoT applications. #project #LoRa #RT1010 #SDCARD

This project is a controller module that uses the ESP32-WROOM-32E and the MAX3485 to communicate with Modbus devices. It has a USB-C port for power and data, a voltage regulator for stable operation, and headers for connecting sensors and actuators. It also has a CH340C chip for USB to serial conversion. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #MAX3485 #RS485 #maximintegrated #reference-design #polygon

This project is a reference design for an ESP- WROOM-02U based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP8266 #WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design #polygon

OctoPower is a monitoring hardware, it provides an end-to-end electricity monitoring solution perfect for monitoring home consumption, solar generation or any AC electrical circuit for that matter. Key features : - 8x clip-on CT current sensor - Full Real/Active power measurement & continuous sampling. - Cumulative energy persisted on reboot. - Wifi (with WPS) and Ethernet support - It send all data on mqtt topic - It can be configurable mqtt topics, calibration, enable/disable wifi over a mqtt api - Upgrade firmware over local network

This is an AI camera board for FPV drones based on the ESP32-S3. ESP32 processes all the data using AI and sends commands to the controller via UART. #FPV #AI #uart #ESP32 #S3 #arduino #drone

This project is a reference design for an ESP32-WROOM-32E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a reference design for an ESP32-S2-MINI-2 based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32S2 #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design #polygon

CT Scanner DAS board design based on DDC232 ADC, iCE40 UltraPlus FPGA, and STM32F745 MCU integration. Designed for efficient data acquisition and processing #scanner #ice40 #computedTomography #STM32F745

The Pico-Environment-Sensor gives Raspberry Pi Pico the ability to collect environment data like temperature & humidity, air pressure, ambient light #RaspberryPi #Raspberry #Pi #RPi #Pico #template #project #project-template #hat

Turn a PC or Raspberry Pi into a radar lab. Plug-and-play USB-C, protected data lines, dual serial channels, and full access to reset/boot/I2C/UART/SWD for demos, evaluation, and algorithm prototyping.

This project is a reference design for an ESP32-WROOM-32E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a Gesture Light Switch Relay Reference Design. It involves an STM32 microcontroller (STMicroelectronics) that interacts with an APDS-9960 sensor (Broadcom) to detect hand gestures. The gesture data is used to control a Toshiba TLP175A relay and an Everlight tri-color LED to switch the light and change colors, respectively. Power is supplied by a Diodes Incorporated's AP2112K-3.3TRG1 regulator. #referenceDesign #edge-computing #edgeComputing #stm #relay #sensors #reference-design

This project is a LoRa to WiFi Gateway using an ESP32 microcontroller. The design incorporates a LoRa transceiver and a WiFi module to facilitate data transfer between LoRa and WiFi protocols. This gateway can be directly implemented in IoT-based applications where field devices using LoRa need to communicate with WiFi-enabled devices. #referenceDesign #project #ESP32 #LoRa #lora #hub #gateway #ESP32WROOM #RF #WIFI #MCU #referenceDesign #edge-computing #espressif #seeed #seeed-technology #reference-design

PCB that sends ambient temperature and high resolution analog data over a CAN bus for a FSAE electric car. Runs off a Teensy 4.0 and has connection pins for separate external analog sensors.

This project is a Gesture Light Switch Relay Reference Design. It involves an STM32 microcontroller (STMicroelectronics) that interacts with an APDS-9960 sensor (Broadcom) to detect hand gestures. The gesture data is used to control a Toshiba TLP175A relay and an Everlight tri-color LED to switch the light and change colors, respectively. Power is supplied by a Diodes Incorporated's AP2112K-3.3TRG1 regulator. #referenceDesign #edge-computing #edgeComputing #stm #relay #sensors #reference-design

The SparkFun ZOE-M8Q GPS Breakout is a high accuracy, miniaturized, GPS board that is perfect for applications that don't possess a lot of space. The on-board ZOE-M8Q is a 72-channel GNSS receiver, meaning it can receive signals from the GPS, GLONASS, BeiDou, and Galileo constellations. This increases precision and decreases lock time and thanks to the onboard rechargable battery you'll have backup power enabling the GPS to get a hot lock within seconds! Additionally, this u-blox receiver supports I2C (u-blox calls this Display Data Channel) which made it perfect for the Qwiic compatibility so we don't have to use up our precious UART ports. Utilizing our handy Qwiic system, no soldering is required to connect it to the rest of your system. However, we still have broken out 0.1"-spaced pins in case you prefer to use a breadboard.

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

A simple 3DO in-game reset mod. MCU sniffs controller data and fires a reset signal to the console when L+R+X+P buttons are pressed.

This is the project template for the Raspberry Pi Pico 2, the latest addition and update to Pi Pico line up. Raspberry pi pico 2 is equipped with the RP2350, a cutting-edge, high-performance microcontroller designed with enhanced security and versatility in mind. Every element of its design has been upgraded, from the advanced CPU cores to the innovative PIO (Programmable I/O) interfacing subsystem. The Raspberry Pi Foundation has integrated a robust security architecture centered around Arm TrustZone for Cortex-M, ensuring data protection and integrity. Additionally, new low-power states and expanded package options broaden the range of applications, making the Pico 2 an ideal choice for diverse, power-sensitive projects. To learn more about what's the key differences between the original Pi Pico and the new Pi Pico 2, read our blog https://www.flux.ai/p/blog/whats-new-in-the-raspberry-pi-pico-2-a-showdown-with-the-original-raspberry-pi-pico #project-template #template #raspberry #pi #pico2 #newpico

The LoSS - ST LoRa Data Logger project is designed to collect and log data using LoRa connectivity. It includes interfaces for JTAG and UART communication. Key components include multiple capacitors, resistors, a crystal oscillator, and an NXP MCU. The device interacts with various sensors and transmits data periodically using LoRa technology. Interface elements include buttons and a display for user interaction.

This is used on machinery to collect data points. The opto isolator board is 24 vdc to 3.3vdc. when 24 volts applied to board, it will be a zero on the RPI GPIO so you must 'not' every test. We order the opto board from Amazon.com along with the RPI.

This project is a reference design for an ESP32-WROOM-32E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

The Smart Hospital Bed is designed to enhance the care and comfort of patients with limited mobility by streamlining repositioning and maintaining detailed health records. It features automated repositioning options via an intuitive control interface, along with a rotating mechanism that allows the bed to transform into a chair for better comfort and adaptability. Additionally, its health data recording system provides real-time data base record on vital signs and posture, accessible remotely by healthcare providers helps them with decision making.

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.

This project is a reference design for an ESP32-WROOM-32E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #simpleEmbedded #espressif #template

This ADM3054BRWZ-RL7-based reference design is a CAN bus transceiver circuit, providing reliable data communication over the CAN network. The design features a range of capacitors and resistors to ensure signal integrity, and a NUP2105L for voltage protection. It's ideal for applications requiring reliable data communication in an automotive or industrial environment. #referenceDesign #project #CANbus #interface #transceiverCircuit #ADM3054 #ADM3054BRWZ-RL7 #referenceDesign #canbus #texas-instruments #template #reference-design #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 reference design for an ESP32-WROOM-32E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a reference design for an ESP32-PICO-MINI-02 based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32PICO #ESP32PICOMINI #RF #WIFI #MCU #referenceDesign #simple-embedded #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

This project is a reference design for an ESP32-WROVER-E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROVER #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design #polygon

This project is a reference design for an ESP-WROOM-02D based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP8266 #WROOM #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a reference design for an ESP32-S2-MINI-2U based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32S2 #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

This is a reference design for TJA1059TKJ Dual high-speed CAN transceiver with Standby mode. It offers advanced features, such as wake-up capability and high-speed data rates, making it suitable for automotive and industrial applications. #MCP25612FD #CANbus #transceiver #highspeed #automotive #referenceDesign #project #CANbus #interface #transceiverCircuit #TJA1059TKJ #referenceDesign #canbus #nxp #template #reference-design

The semgdaq board is a wearable 6 channel data acquisition unit for capturing surface electromyographic (sEMG) signals from human arm muscles using SJ2-3593D jack connectors while conditioning, digitizing, processing and feature extracting them then transmitting the feature data as vectors to an external AI accelerated board through an SM12B-SRSS IDC connector using 12C and UART communication protocals where AI models are run for various applications including robotic control, muscle signals medical assessment and gesture recognition. The feature vectors are comprised of onset detection, slope sign changes, autoregression coefficients and Short Time Fourier Transform magnitude spectrum data for each segment or window of the signals in real time. This vectors can be used as the basis for further feature extraction on more computationally resourceful hardware where machine learning algorthms can be employed for descision making in the applications mentioned earlier. The board leverages INA125P instrumentation amplifiers together with filter stages utilizing LM324QT op-amps for conditioning and an STM32G4A1VET6 microcontroller for the digitization, processing, feature extraction and data transmission. Since AI models can only be as good as the data, the design of such a DAQ is necessary to ensure clean, reliable and real-time data for AI applications requiring sEMG feature data. The board also has USB-FS and JTAG to cater for debugging and external flash memory to extend its data storage and processing capability. The power (5V) is fed through a screw terminal and is regulated by two LDK320AM LDO regulators to offer 5V, 3.3V and 1.8V to meet the requirements of various components on the board.

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

This project is a reference design for an ESP32-WROVER-E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROVER #RF #WIFI #MCU #referenceDesign #simple-embedded #espressif #template #reference-design

This project is a reference design for an ESP32-WROOM-32E based device. It features USB-C for power and data transfer, onboard voltage regulation, and multiple peripheral connections. It also includes a CH340C for USB to serial conversion #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #simpleEmbedded #espressif #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