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

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?

The LoST 3296 board features an Low Power STM32, an RFM95 Module for LoRA connectivity and a connector to interface different sensors. You can hook up a UART module, I2C module and a module using the RS485. The board is powered by the USB-C port

This project comprises a design for an ESP32 based Music Player. It consists of components like ESP32-WROOM-32E for RF/WIFI/MCU functionalities, PCM5102 for audio processing, CH340C for USB to UART communication, and acts as a robust and efficient system for music playback operations. Various supporting components such as capacitors, resistors, LEDs, buttons, etc., further enhance the performance. #referenceDesign #project #ESP32 #ESP32WROOM #RF #WIFI #MCU #music #MP3 #player #referenceDesign #simple-embedded #espressif #reference-design #polygon

This is the SparkFun USB to Serial Breakout for the FT232RL, a small board with a built in USB to serial UART interface. This little breakout is built around the FT232RL IC from FTDI, with an internal oscillator, EEPROM, and a 28-pin SSOP package this is a serious little chip.

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

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.

OBD2 to UART interface dev board. Alternative to deprecated ELM237 Chipset. Documentation: - Power tree: https://drive.google.com/file/d/1oG5_56AuaiLtG3buUaOyhg63TMySnYF3/view?usp=sharing

OBD2 to UART interface dev board. Alternative to deprecated ELM237 Chipset. Documentation: - Power tree: https://drive.google.com/file/d/1oG5_56AuaiLtG3buUaOyhg63TMySnYF3/view?usp=sharing

Never worry about integrating USB connectivity to your microcontroller again! Just drag this layout into your project and get going!

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 the MGM240P template with minimal configuration for operation. There is a 3.3V regulator, a connector for UART and SWD #MGM240P #IoT #template #uart #3V3 #arduino-matter

The RC522 is a 13.56MHz RFID module that is based on the MFRC522 controller from NXP semiconductors. The module can supports I2C, SPI and UART and normally is shipped with a RFID card and key fob. It is commonly used in attendance systems and other person/object identification applications. #RFID #Module

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.

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

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

The Bus Servo Driver Board supports ST/SC series servos with UART and USB dual modes. It features a 2P 3.5mm screw terminal and is compatible with the Seeed Studio XIAO ecosystem. Ideal for robotic arms and multi-legged robots, it ensures rapid prototyping and precise control.

NEO-M9N GPS Breakout with on-board chip antenna is a high quality GPS board with equally impressive configuration options. The NEO-M9N module is a 92-channel u-blox M9 engine GNSS receiver, meaning it can receive signals from the GPS, GLONASS, Galileo, and BeiDou constellations witn ~1.5 meter accuracy. This breakout supports concurrent reception of four GNSS. This maximizes position accuracy in challenging conditions, increasing precision and decreases lock time; and thanks to the onboard rechargeable 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.

OBD2 to UART interface dev board. Alternative to deprecated ELM237 Chipset. Documentation: - Power tree: https://drive.google.com/file/d/1oG5_56AuaiLtG3buUaOyhg63TMySnYF3/view?usp=sharing

OBD2 to UART interface dev board. Alternative to deprecated ELM237 Chipset. Documentation: - Power tree: https://drive.google.com/file/d/1oG5_56AuaiLtG3buUaOyhg63TMySnYF3/view?usp=sharing

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

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

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

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

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