Design challenge: build a new PCB exclusively with Flux Copilot. Each day for 30 days, I'm using a new Copilot prompt to design a board with the RP2040. Follow the Twitter thread: https://twitter.com/ntzova/status/1671868701954519041

Lethal Company Pro Flashlight Broken Features: - U2M cannot be line powered from this circuit so the LED driver does not regulate. [Find the acompanying button board here](https://www.flux.ai/markwuflux/lethal-company-pro-flashlight-button-board) -Ultra bright -Makes click noise from speaker -Wirelessly transmits battery life (maybe use Ubo to receive this) -Drive a SST-40 Chinese LED I want this thing to be super bright! The brighter the better, but keep it simple. These LEDs will draw a lot of power, so we need some sort of CC source. It doesn't have to have high bandwidth. I am thinking about a DIY microcontroller buck converter with PID duty cycle control. Mistakes in this V1 design: - No pullup resistor on PG of Module1

Learn how to design PCBs faster with generative AI in this 20 minute hands-on tutorial. You’ll learn how to use Flux Copilot, an AI-powered hardware design assistant, to research parts, review your design, and even connect components. https://youtu.be/FL7e0OXTLic

Brave is a versatile and efficient power board that can provide 12v, 5v and 3.3v outputs for various applications. It can be powered by battery or solar panel, and the battery can be recharged by solar energy. It can also be powered by a USB port if needed. This board is ideal for IoT projects that require reliable and stable power supply in different environments. #IoT #power #management #usb

An I2C extension shield with 6 shielded ethernet ports and a TCA9548 breakout board. This board is for the target side, any microcontroller with a standard Arduino header can use it. With proper target side hardware and an SSTP ethernet cable, the board provides robust i2c communication over 10ft(could be longer, haven't tested it yet) with a bitrate of 400kHz under a noisy environment( near motors, power cables, switches, etc). The shield board provides power to the target side and can power the i2c device. The board also supports drdy trigger, which is available on many i2c sensors. The TCA9548 breakout board is for a scenario in which all of your i2c devices have the same address. #Arduino #Uno #Shield #Template #project-template #project

Designing a Tractive System Active light(TSAL) circuit for an Electric Vehicle which does the following operations 1. The TSAL itself must have a red light, flashing continuously with a frequency between 2 Hz and 5 Hz and a duty cycle of 50%, active if and only if the LVS is active and the voltage across DC-link capacitors exceeds half the nominal TS voltage 2. The TSAL itself must have a green light, continuously on, active if and only if the LVS is active and ALL of the following conditions are true: ● All AIRs are opened. ● The pre-charge relay is opened. ● The voltage at the vehicle side of the AIRs inside the TSAC does not exceed 60 VDC or 50 VAC RMS. This schematic will include only the Green Light logic. We have to take proper care of High voltage and Low voltage isolation in this schematic because it will have to be implemented on the PCB as well.

@copilot I want to build an Iot device for fish farming which can measure physicochemical variables of the water, the system must be afloat in the water, must have solar panels for power and batteries, must be ultra low power and compact, I need you to recommend me that microcontolador use and other components and ideas that can make this device unique.

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 involves designing a versatile IoT sensor hub using the ESP32-WROOM-32E module. The main objective is to create a platform that enables seamless data collection and transmission from various environmental sensors over a WiFi network. The device will feature USB-C for power and data transfer, and will utilize on-board voltage regulation to ensure stable operation. A CH340C chip is employed for USB to serial conversion, facilitating easy programming and communication with a host computer. Key Features: Wireless Connectivity: Leverage the ESP32's built-in WiFi capabilities for real-time data transmission to cloud-based platforms or local servers. USB-C Interface: Utilize a modern USB-C connector for power and data transfer, providing flexibility and future-proofing the design. On-board Voltage Regulation: Include an AMS1117-3.3 voltage regulator to maintain a stable 3.3V output from the USB input, protecting sensitive components. Support for Multiple Sensors: Integrate various GPIOs to connect multiple sensor types ( temperature, humidity, air quality ) (temperature, humidity, air quality) for comprehensive environmental monitoring. Expandability: Design with additional headers for future expansion, enabling users to customize and extend the hub's capabilities with additional sensors or modules. Applications: Smart Home Automation: Integrating with home systems to monitor and respond to environmental changes. Environmental Monitoring: Providing data for ecological studies or urban environment monitoring. Industrial IoT: Enhancing systems within a factory or industrial setting to track conditions in real-time. With this setup, the device aims to be a robust and adaptable piece of technology, suitable for hobbyists, researchers, and developers interested in the expanding world of IoT.

This project is a wireless wearable glove (smart glove) for sign language translation. It uses Arduino Nano - ATMega328P, Accelerometer - ADXL345 and a Bluetooth module HC -05 to transmit and display the signs on any compatible display device like a mobile phone or a LCD - LM016L. In this project, I have used a 5x8 LCD display - LM016L to display the test converted. (strings, numbers etc.)

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

The Ariel AI Chip, a state-of-the-art integrated circuit designed for high-performance computing applications, incorporates an innovative architecture that leverages radical transistor technology to optimize AI and machine learning tasks. At the heart of this chip lies a quad-core CPU operating at a clock speed of 2GHz, distinguished by its part number CPU-RT-4C-2G. The chip's power management is efficiently handled by a DC power supply, specified as DCPS-5V, ensuring a stable 5V input. Key to its operation are two NPN transistors, identified by part numbers NPN-TRANS-001 and NPN-TRANS-002, which, along with a pair of 1kΩ resistors (RES-1K and RES-1K-002) and a 10µF capacitor (CAP-10UF), form the critical signal processing and conditioning circuitry. This assembly is designed for seamless integration into advanced computing systems, particularly those focused on Flux AI environments, where its performance and efficiency can be fully leveraged. The Ariel AI Chip sets a new benchmark in AI computing, offering unparalleled processing power and efficiency for cutting-edge applications.

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

The Arduino Uno learner's kit with ESP32 is a versatile educational tool for beginners. It combines an Arduino Uno board with additional components like a 2-channel motor driver, 7-segment display, relay outputs, programmable LEDs, push buttons, and analog inputs. This kit enables learners to explore electronics, programming, robotics, home automation, and more. With the ESP32 module, Wi-Fi and Bluetooth connectivity are possible, expanding the range of projects. It's a comprehensive package that fosters creativity and knowledge in the exciting world of electronics and programming. #arduino #esp32

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

Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!

A simple voltage divider to showcase how to make parts. A voltage divider is a simple circuit which turns a large voltage into a smaller one. Using just two series resistors and an input voltage, we can create an output voltage that is a fraction of the input. Voltage dividers are one of the most fundamental circuits in electronics.

"This is what makes time travel possible." —Doc Brown In order to travel through time, the vehicle integrated with the flux capacitor needed to be traveling at 88 mph (140.8 km/h), and required 1.21 gigawatts of power (1,210,000,000 watts)

Fire Alarm circuit project, a thermistor works as the heat sensor. When temperature increases, its resistance decreases, and vice versa. Fire Alarm system works off a 6V-12V regulated power supply. Timer IC NE555 (IC1) is wired as an astable multivibrator oscillating in audio frequency band.

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.

Reference schematic for BM1387 hash chip. ASIC Bitmain Antminer S9 includes 63 BM1387 chips connected in chain according to this diagram Total Hash Rate: 13.5 TH/s SHA-256

Learn how to design PCBs faster with generative AI in this 20 minute hands-on tutorial. You’ll learn how to use Flux Copilot, an AI-powered hardware design assistant, to research parts, review your design, and even connect components. https://youtu.be/FL7e0OXTLic

Brave V2 is a versatile and efficient power board that can provide 12v, 5v and 3.3v outputs for various applications. It can be powered by battery or solar panel (now revised to accepts input voltage of upto 30V), and the battery can be recharged by solar energy. It can also be powered by a USB port if needed. This board is ideal for IoT projects that require reliable and stable power supply in different environments. #IoT #power #management #usb

A simulated circuit that demonstrates how diodes in a bridge configuration convert an AC voltage to DC voltage.