6-inch MIPI screen driver board based on LT6911C

Test video.mp4

Altium_6-inch MIPI screen driver board based on LT6911C

82800

Reference design for eCar and eBus hybrid centralized distributed architecture battery management system in automotive applications

RD33771CNTREVM Flexible BMS Reference Design

RD33771CNTREVM is a reference design for eCar, eBus hybrid centralized distributed architecture battery management system in automotive applications. It includes 4 on-board BCCs controlled by 1 S32K1xx MCU, communicating through transformer isolation or capacitor isolation. Several of the boards can be linked via TPL twisted pair daisy chain and controlled by other battery management units to adapt to more automotive battery management applications.

RD33771CNTREVM Quick Start

RD33771CNTREVM HV Battery management system – User Manual

Battery Management System 101: A Quick Start Guide to NXP System Solutions

83030

ERASynthMicro: USB powered, portable, open source, RF signal generator, supports 12.5MHz - 6.4GHz

ERASynthMicro: USB-Powered, Low-Priced,Open Source,RF Signal Generator

It can be powered via a USB port and has an LCD interface for standalone use without a PC. ERASynth Micro uses a dual-loop PLL architecture to provide fast frequency switching and fine tuning resolution. Frequency, amplitude and pulse modulation capabilities are also available.

ERASynthMicro is an open source analog RF signal generator that can be powered from a USB port and has an LCD interface for standalone use without a PC. It is equipped with an Arduino Micro microcontroller and a touch display. ERASynth Micro uses advanced PLL/VCO technology combined with an internal ultra-low phase noise frequency reference to form a programmable analog signal generator that can generate low phase noise RF signals from 12.5 MHz to 6.4 GHz. ERASynth Micro uses a dual-loop PLL architecture to provide fast frequency switching and fine tuning resolution. ERASynth Micro also provides frequency, amplitude and pulse modulation capabilities. Frequency tuning and control commands are loaded into the instrument through the serial interface or touch display or Windows GUI. Specifications: Architecture: Dual-loop fractional-N PLL driven by a 10 MHz reference. Frequency range: 12.5 MHz to 6.4 GHzAmplitude range: -50 to +15dBmPhase noise: -115 dBc/Hz @ 1GHz output and 10kHz offsetFrequency switching time: <1msReference: Ultra-low noise 50 MHz VCXO locked to ±500 ppb TCXOMCU: ATMEGA32U4-MU (same as Arduino Microboard)Interfaces:• Touch display module (3.2 inch Nextion NX4024T032)• Micro-USB for power input and serial access• REF IN (SMA) for external reference input• REF Out (SMA) for 10 MHz reference output• RF Out (SMA)• Expansion connectors: External trigger input, external modulation input, microphone input, GPIO (I2C) and SPIDimensions: 57mm x 118mm x 23mmWeight: 120gPower input: 5VPower consumption: 2WCasing: Injection molded plastic caseOpen source: Schematics, Embedded Arduino Code, LCD Screen source code and RS-232 command set Modulation: AM, FM, pulse (internal and external) ERASynthMicrois an open source analog RF signal generator featuring an Arduino Micro micro-controller and atouch display. ERASynth Micro uses advanced PLL/VCO technology, coupled with an internal ultra-low phase noise frequency reference to form a programmable analog signal generator capable of generating a low phase noise signals up to 6.4GHz. ERASynth Micro provides fast frequency switching and fine-tuning resolution using a dual loop PLL architecture. ERASynth Micro also offers frequency, amplitude and pulse modulation capabilities. The frequency tuning and control commands are loaded into the instrument via the serial interface or via Touch Displayor Windows GUI. Feature: Architecture: Dual loop Fractional-N PLL driven by a10 MHzreference. Frequency Range: 12.5 MHz to 6.4 GHzAmplitude Range: -50 to +15dBmPhase Noise: -115 dBc/Hz 1 GHz output and 10 kHz offsetFrequency Switching Time: <1msReference: Ultra-low noise 50 MHz VCXO locked to a±500 ppb TCXOMCU: ATMEGA32U4-MU (same as in the Arduino Microboard)Interfaces:•Touch Display Module (3.2” Nextion NX4024T032)•Micro-USB for power input and serial access•REF IN (SMA) for external reference input•REF Out ( SMA) for 10 MHz reference output•RF Out (SMA)•Expansion connector: External trigger input, external modulation input, microphone input, GPIO (I2C) and SPIDimensions: 57mm x 118mm x 23mm Weight: 120gPower Input: 5VPower Consumption:2WEnclosure: Injection molded plastic caseOpen Source: Schematics, embedded Arduino code, LCD screen source code and RS-232 command setModulation: AM, FM, Pulse (Internal and external)

erasynth-micro-firmware-master

erasynth-micro-lcd-gui-master

erasynth-pc-gui-master

erasynth-micro-docs-master

83502

Twonkie: Open Source USB-PD Sniff, a USB-PD sniffer based on Google Twinkie

Supports data monitoring and PD packet injection on CC1 and CC2 lines, and voltage and current detection on VBUS and VCONN.

Twonkie is a USB-PD sniffer/injector/receiver based on Google's Twinkie project, redesigned to be mass-produced in one-off batches by the average person. Twinkie is an excellent and fairly low-cost solution, and it's open source so anyone can make it themselves, but unfortunately the Twinkie design uses a six-layer PCB and all BGA/wafer-level parts - both of which are not usually available to the average hobbyist. So the author designed Twonkie, a slightly weirder brother of the Twinkie. It uses a four-layer PCB, which can be made cheaply by many service bureaus such as OSHPark, and it only uses leaded parts for easier soldering (although the main microcontroller can also be selected as a QFN via dual packaging). The most difficult part was probably the passive components, which are all 0402, and the USB-C connector used in an unconventional way, namely misusing the 90° upright connector as a 1.6mm jumper mount (in line with the unstable concept). Supports data monitoring and PD packet injection on CC1, CC2 lines, voltage and current detection on VBUS and VCONN.

Twonkie-master

83503

Autoware: Open source software project for autonomous driving, including positioning and object detection, route planning and control

Built on Robot Operating System (ROS)

Autoware is an open source software stack for autonomous vehicles, built on the Robot Operating System (ROS). It includes all the necessary functions to drive an autonomous car, from localization and object detection to route planning and control, and is designed to allow as many individuals and organizations as possible to contribute to open innovation in autonomous driving technology. The Autoware Foundation manages the development of Autoware, the world's leading open source software project for autonomous driving, and sponsors Autoware-based projects around the world. Currently, more than 100 companies in more than 20 countries around the world use Autoware on more than 30 types of vehicles. Autoware is an open-source software stack for self-driving vehicles, built on the Robot Operating System (ROS). It includes all of the necessary functions to drive an autonomous vehicles from localization and object detection to route planning and control, and was created with the aim of enabling as many individuals and organizations as possible to contribute to open innovations in autonomous driving technology. The Autoware Foundation manages the development of Autoware, the world's leading open-source software project for autonomous driving, and sponsors Autoware-based projects all over the world. Autoware is currently being used by over 100 companies on more than 30 vehicles in over 20 different countries worldwide.

autoware

Autoware Documentation

83504

Open source desktop two-wheeled legged robot

The circuit board in the project is drawn using Jiali Chuang EDA, and the code uses Arduino IDE, which is very suitable for beginners who are interested in robots.

The software, hardware, and mechanical structure are all open source.

The circuit board in the project is drawn using Jiali Chuang EDA, and the code uses Arduino IDE, which is very suitable for beginners who are interested in robots. The software, hardware, and mechanical structure are all open source.

Micro-Wheeled_leg-Robot-master

Software, hardware and user manual (Chinese)

84267

OpenGlass: AI glasses based on ESP32S3, costing more than 100 yuan to copy

First place in Meta Llama 3 hackathon

​You can record your life anytime and anywhere, remember people's names, calculate food calories, translate in real time, and have intelligent conversations...

You can record your life anytime and anywhere, remember people's names, calculate food calories, translate in real time, and have intelligent conversations... The replica looks very simple. The hardware is mainly a Seeed Studio XIAO ESP32 S3 Sense, plus a lithium battery EEMB LP502030 3.7v 250mAH battery, and then 3D print a shell. The software can be installed according to the instructions.

OpenGlass-main

84268

Openpilot: an open source advanced driver assistance system with 49.2k stars on Github

With features like adaptive cruise control, driver monitoring, automatic lane centering, etc., it is available for Toyota, Hyundai, Honda and many other brands, about 275+ models. openpilot complies with ISO26262 guidelines.

openpilot is an open source advanced driver assistance system for Toyota, Hyundai, Honda and many other brands, with about 275+ models. openpilot adheres to ISO26262 guidelines, detailed information can be downloaded from the reference design and read the relevant documents. Features: - Automatic lane centering - Adaptive cruise control - Lane change assist - Driver monitoring (no steering wheel interference) - Drive for hours without intervention - Open source and developed on GitHub 01 Make driving easy Currently, openpilot can perform the functions of adaptive cruise control (ACC) and automatic lane centering (ALC). openpilot can accelerate, automatically brake for other vehicles, and steer to follow the road/lane. When openpilot is enabled, the driver monitoring system monitors the driver and ensures that the driver is attentive and ready to take over at any time. If used properly, these features can reduce your workload as a driver and can make long-distance driving easy instead of boring. 02 Connect to your car openpilot works by connecting to the CAN network of your car. Modern cars accept electronic steering, throttle and brake commands to allow the use of ADAS functions. Openpilot can use these commands to provide better ADAS features than what the automakers can offer. 03 Modern Machine Learning Openpilot includes a state-of-the-art neural network that can understand road scenes and predict where to drive. This neural network learns to drive by observing millions of miles of driving data recorded by Openpilot. This makes Openpilot very good at handling subtle situations, such as driving in areas with faded lane lines, different countries, etc. 04 Open Source and Community Support Openpilot is developed by comma and users. Comma welcomes pull requests and issues on GitHub. Bug fixes and adding new spots are strongly encouraged. openpilot is an open source advanced driver assistance system that works on 275+ car models of Toyota, Hyundai, Honda, and many other brands. Automated Lane CenteringAdaptive Cruise ControlLane Change AssistDriver Monitoring (no wheel nags) can drive for hours without interventionopen source and developed on GitHub01 makes driving chillCurrently, openpilot performs the functions of Adaptive Cruise Control (ACC) and Automated Lane Centering (ALC). openpilot can accelerate, brake automatically for other vehicles, and steer to follow the road/lane.When openpilot is enabled, a driver monitoring system watches the driver and ensures the driver is attentive and ready to take over at all times.When used correctly, these features reduce your workload as a driver, and can make long drives relaxing instead of tedious.02 connects to your caropenpilot works by connecting to your car's CAN network. Modern cars accept electronic steering, gas, and brake commands to allow for ADAS features. openpilot can use these commands to provide much better ADAS features than the car manufacturers can provide.03 modern machine learningopenpilot contains a state-of-the-art neural network that understands the road scene and predicts where to drive. This neural network has learned to drive by watching the millions of miles of driving data openpilot has recorded. fixes and new car ports are strongly encouraged. Check out the contributing docs.

openpilot-master

89648

ArduPilot: Full-featured, reliable, open source autopilot software that supports a wide range of vehicles

ArduPilot is the most advanced, full-featured and reliable open source autopilot software available. It was developed by a team of engineers and computer scientists of various disciplines who have been developing the product for over 5 years. It is the only autopilot software that can control almost every vehicle system imaginable, from traditional aircraft, multirotors and helicopters to boats and even submarines. It is now being expanded to include support for emerging vehicle types. With over 1,000,000 vehicles installed worldwide and equipped with advanced data logging, analysis and simulation tools, Ardupilot is the most thoroughly tested and validated autopilot software. The open source code base means that it is constantly evolving rapidly, always at the forefront of technology development. With many peripheral vendors creating interfaces, users benefit from a broad ecosystem of sensors, supporting computers and communication systems. Finally, because the source code is open, it can be audited to ensure compliance with security and confidentiality requirements.

ardupilot-master

89962

electronic