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40 repositorios

Awesome GitHub RepositoriesSensor Processing

Algorithms and software that combine data from multiple sensors to produce accurate real-time environmental information.

Explore 40 awesome GitHub repositories matching hardware & iot · Sensor Processing. Refine with filters or upvote what's useful.

Awesome Sensor Processing GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • commaai/openpilotAvatar de commaai

    commaai/openpilot

    61,375Ver en GitHub↗

    Openpilot es un sistema de asistencia al conductor de código abierto que se integra con las unidades de control del vehículo para proporcionar dirección, aceleración y frenado automatizados. Funciona como un middleware de robótica automotriz, utilizando un entorno de tiempo de ejecución especializado para procesar datos de sensores y ejecutar comandos de control en tiempo real que gestionan la dinámica del vehículo. La plataforma se distingue por una interfaz agnóstica al hardware que traduce comandos de conducción estandarizados a los protocolos propietarios requeridos por una amplia gama de marcas y modelos de vehículos. Emplea planificación de rutas basada en redes neuronales para predecir trayectorias a partir de datos visuales e históricos, mientras que un bucle de control determinista asegura ajustes de alta frecuencia para la estabilidad del vehículo. Para mantener la seguridad operativa, el sistema incorpora un proceso de vigilancia independiente que monitoriza el rendimiento y activa la desconexión inmediata al detectar anomalías. La arquitectura del software se basa en la fusión de sensores en tiempo real para sincronizar las entradas de cámara y radar en una representación ambiental unificada. Los componentes del sistema se comunican a través de un bus basado en mensajes para facilitar el intercambio de datos de baja latencia entre sensores y actuadores, respaldado por una capa de traducción modular que permite la integración con diversos protocolos de comunicación automotriz.

    Synthesizes asynchronous data streams from cameras and radar into a coherent, unified model of the surrounding environment.

    Pythonadvanced-driver-assistance-systemsdriver-assistance-systemsrobotics
    Ver en GitHub↗61,375
  • vsouza/awesome-iosAvatar de vsouza

    vsouza/awesome-ios

    52,496Ver en GitHub↗

    This project is a community-driven directory of software resources, libraries, and tools designed to support iOS application development. It serves as a centralized reference point for developers, organizing a vast ecosystem of third-party components into a searchable, structured index to facilitate discovery and project integration. The repository distinguishes itself through its collaborative curation model, which aggregates disparate utilities into a single, maintainable catalog. By leveraging a flat-file documentation structure, it provides a clear overview of the tools available for nati

    Reads data from hardware sensors to detect device movement and orientation changes.

    Swiftapple-swiftarkitawesome
    Ver en GitHub↗52,496
  • arendst/tasmotaAvatar de arendst

    arendst/Tasmota

    24,502Ver en GitHub↗

    Tasmota is a universal firmware platform for ESP8266 and ESP32 microcontrollers, designed to provide local control and management of smart home hardware. It functions as an event-driven automation controller that replaces proprietary factory firmware, allowing users to manage relays, sensors, and lighting systems without relying on external cloud services. The system is built on a modular driver architecture that enables dynamic hardware configuration and peripheral support through a web-based management interface. The platform distinguishes itself through a template-driven hardware mapping s

    Adjusts raw sensor data using offsets and scaling to ensure accurate reporting for analog and digital inputs.

    Carduinoautomationesp32
    Ver en GitHub↗24,502
  • rem0o/fancontrol.releasesAvatar de Rem0o

    Rem0o/FanControl.Releases

    18,777Ver en GitHub↗

    FanControl is a system utility for Windows that provides comprehensive thermal management and fan speed regulation. It functions as a background service, ensuring that cooling configurations remain active from system boot without requiring an active user session. The software distinguishes itself through a modular plugin architecture that supports proprietary hardware controllers, liquid cooling systems, and third-party sensors. Users can define complex cooling behaviors by mapping multiple temperature inputs to fan outputs using graphical curves and mathematical operations, while incorporati

    Combines multiple temperature inputs from various hardware sources to drive complex cooling logic.

    controlcpucurves
    Ver en GitHub↗18,777
  • wled/wledAvatar de wled

    wled/WLED

    18,249Ver en GitHub↗

    WLED is a web-based firmware designed for ESP8266 and ESP32 microcontrollers to manage addressable LED strips and matrices. It functions as a comprehensive IoT lighting automation system, providing the tools to control individual pixels, define logical segments, and execute dynamic lighting effects. The platform supports a wide range of hardware configurations, including matrix panels and non-addressable LED arrays, while offering granular control over brightness, color palettes, and animation speed. The project distinguishes itself through its extensive support for networked orchestration an

    Reads signals from analog sensors to dynamically adjust lighting properties like brightness and speed.

    C++esp32esp8266hacktoberfest
    Ver en GitHub↗18,249
  • microsoft/airsimAvatar de microsoft

    microsoft/AirSim

    17,956Ver en GitHub↗

    AirSim is a high-fidelity simulation platform designed for the development and testing of autonomous vehicles. Built as a plugin for game engines, it provides a physics-based environment that models vehicle dynamics and sensor data, serving as a foundation for robotics research, computer vision training, and reinforcement learning. The platform distinguishes itself through its support for hardware-in-the-loop and software-in-the-loop testing, allowing developers to validate control logic and firmware against real-world signals or concurrent processes. It offers extensive programmatic control

    Generates synthetic data from onboard hardware components like IMUs, GPS, and barometers to provide environmental feedback to algorithms.

    C++aiairsimartificial-intelligence
    Ver en GitHub↗17,956
  • marlinfirmware/marlinAvatar de MarlinFirmware

    MarlinFirmware/Marlin

    17,433Ver en GitHub↗

    Marlin is a firmware platform designed for 3D printers and CNC machines that translates manufacturing instructions into precise hardware operations. It functions as a G-code interpreter, parsing text-based commands to manage multi-axis motion, thermal regulation, and material delivery systems. By operating independently of a host computer, the system enables a standalone manufacturing workflow through the direct processing of files from local storage. The firmware distinguishes itself through a modular hardware abstraction layer that supports a wide range of microcontroller configurations. It

    Executes sensor-based calibration routines to ensure geometric accuracy and consistent material adhesion across the build surface.

    C++3d-printingarduinoatmel
    Ver en GitHub↗17,433
  • wagerfield/parallaxAvatar de wagerfield

    wagerfield/parallax

    16,586Ver en GitHub↗

    Parallax is a device motion parallax engine and interactive depth effect library. It provides the core logic and interfaces necessary to simulate visual depth by shifting scene layers based on a smart device gyroscope or mouse movement. The system functions as a device orientation controller that maps physical device rotation and cursor position to programmatic offsets. It distinguishes itself through a motion interface that handles relative orientation calibration, allowing the engine to calculate movement based on a cached starting position. The library covers motion behavior configuration

    Calculates movement by comparing current sensor readings against a cached initial starting position.

    JavaScript
    Ver en GitHub↗16,586
  • ardupilot/ardupilotAvatar de ArduPilot

    ArduPilot/ardupilot

    15,339Ver en GitHub↗

    ArduPilot es una plataforma de software de piloto automático para vehículos autónomos diseñada para gestionar la navegación, estabilización y ejecución de misiones para vehículos aéreos, terrestres y marinos. Funciona como un controlador de vuelo integral que utiliza un kernel de sistema operativo en tiempo real para gestionar bucles de control concurrentes, fusión de sensores y lógica basada en estados para diversos modos operativos. El sistema se distingue por una capa de abstracción de hardware modular que desacopla la lógica de navegación de los controladores de sensores específicos y las arquitecturas de microcontroladores. Emplea un protocolo de telemetría orientado a mensajes para facilitar la comunicación entre el vehículo y las estaciones terrestres, mientras que un sistema de vigilancia (watchdog) basado en eventos monitoriza continuamente las métricas de salud para activar procedimientos de recuperación automatizados durante fallos críticos. La plataforma proporciona una amplia superficie de capacidades para operaciones de sistemas no tripulados, incluyendo la ejecución de misiones de navegación programadas y la coordinación de la estabilización de carga útil multieje para imágenes. También incluye sistemas integrados para transmitir métricas de estado en tiempo real y registrar datos de telemetría de alta fidelidad para respaldar el análisis de rendimiento posterior a la misión.

    Combines noisy data from multiple onboard sensors to estimate the precise orientation and position of the vehicle.

    C++arducopterardupilotarduplane
    Ver en GitHub↗15,339
  • orcaslicer/orcaslicerAvatar de OrcaSlicer

    OrcaSlicer/OrcaSlicer

    14,774Ver en GitHub↗

    OrcaSlicer is a 3D printer slicer software designed to convert three-dimensional digital models into precise machine instructions for additive manufacturing. It functions as an end-to-end workflow manager that handles the transformation of geometric data into layer-by-layer movement commands while providing tools to configure print parameters and manage hardware settings. The software distinguishes itself through integrated remote management capabilities, allowing users to submit print jobs, monitor real-time telemetry, and control network-connected hardware from remote locations. It incorpor

    Tests and adjusts material flow, temperature, and retraction settings to ensure optimal print quality.

    C++3d-printer3d-printingmakers
    Ver en GitHub↗14,774
  • alibaba/mnnAvatar de alibaba

    alibaba/MNN

    14,242Ver en GitHub↗

    MNN is a high-performance inference engine and framework designed for on-device machine learning. It provides a comprehensive environment for executing, optimizing, and deploying neural network models directly on mobile and resource-constrained edge devices. The framework distinguishes itself through a robust model optimization toolkit that supports quantization, compression, and structural graph manipulation to minimize memory footprint and maximize execution speed. It features a modular architecture that abstracts hardware-specific backends, allowing models to run efficiently across diverse

    Converts models to integer-8 precision using calibration datasets to optimize speed and memory.

    C++armconvolutiondeep-learning
    Ver en GitHub↗14,242
  • rwaldron/johnny-fiveAvatar de rwaldron

    rwaldron/johnny-five

    13,401Ver en GitHub↗

    Johnny-Five is a JavaScript robotics framework and microcontroller hardware interface designed for programming robots and IoT devices. It provides a standardized library for managing pins, motors, and displays across various microcontroller platforms, allowing developers to control sensors and actuators using a consistent JavaScript API. The framework is distinguished by its use of a plugin-based hardware abstraction system, which enables communication with diverse hardware platforms and protocols. It supports real-time hardware manipulation and debugging through a read-eval-print loop that a

    Captures signal changes from physical sensors and scales the values to a usable numeric range.

    JavaScript1-wireadcarduino
    Ver en GitHub↗13,401
  • px4/px4-autopilotAvatar de PX4

    PX4/PX4-Autopilot

    11,962Ver en GitHub↗

    PX4-Autopilot is a professional-grade flight control software stack designed for autonomous unmanned vehicles, including multicopters, fixed-wing aircraft, and vertical takeoff and landing platforms. It operates as a modular, real-time framework that decouples flight control logic from hardware drivers through a publish-subscribe middleware architecture. The system utilizes a deterministic microkernel runtime to execute time-critical flight control loops and sensor fusion tasks, ensuring stable navigation and vehicle operation. The platform distinguishes itself through a parameter-driven conf

    Integrates multi-sensor data to calculate vehicle orientation, altitude, and position.

    C++autonomousautopilotavoidance
    Ver en GitHub↗11,962
  • autowarefoundation/autowareAvatar de autowarefoundation

    autowarefoundation/autoware

    11,742Ver en GitHub↗

    Autoware is an open-source autonomous driving software platform built on the robotics middleware standard. It provides a comprehensive stack for managing perception, planning, and control, enabling the development and deployment of full-stack autonomous driving software on commercial transport hardware. The platform utilizes a component-based modular architecture that organizes driving functions into isolated, interchangeable nodes. This design is supported by a hardware-abstraction layer and plugin-based sensor integration, which allow the software to interface with diverse hardware configur

    Processes real-time environmental sensor data to ensure high-performance navigation and awareness.

    Dockerfileautonomous-drivingautonomous-vehiclesautoware
    Ver en GitHub↗11,742
  • software-mansion/react-native-reanimatedAvatar de software-mansion

    software-mansion/react-native-reanimated

    10,674Ver en GitHub↗

    This project is a cross-platform animation library for React Native that provides a declarative engine for building high-performance user interfaces. It functions by offloading animation logic and interaction processing to the native UI thread, ensuring that visual transitions remain smooth and responsive even when the main application thread is under heavy load. The library distinguishes itself through a specialized architecture that transforms standard functions into units capable of executing directly on the native thread. It utilizes shared-memory synchronization to maintain consistent da

    Maps real-time hardware sensor data to visual properties for physically reactive interface motion.

    TypeScriptanimationgesturejavascript
    Ver en GitHub↗10,674
  • microsoft/windows-universal-samplesAvatar de microsoft

    microsoft/Windows-universal-samples

    9,696Ver en GitHub↗

    This repository is a comprehensive collection of reference implementations and sample libraries for the Universal Windows Platform. It provides practical examples of how to use Windows Runtime APIs to build cross-device applications, including detailed guidance on XAML-based declarative user interfaces and DirectX-integrated rendering. The project distinguishes itself by providing a wide array of hardware integration suites, covering low-level communication with USB, Serial, I2C, SPI, and GPIO peripherals. It includes specialized implementations for mixed reality holographic rendering, advanc

    Uses proximity sensor data thresholds as system triggers to execute software actions in the background.

    JavaScript
    Ver en GitHub↗9,696
  • home-assistant/home-assistant.ioAvatar de home-assistant

    home-assistant/home-assistant.io

    9,466Ver en GitHub↗

    Home Assistant is a local home automation platform and server that acts as an IoT device orchestrator. It integrates diverse smart home hardware by wrapping third-party APIs into a standardized logic layer and stores all system state and historical statistics on local hardware to eliminate cloud dependencies. The system functions as a Matter IoT controller and an MQTT home automation bridge, allowing for local interoperability between different manufacturers. It features a state-based entity model and an internal event bus that decouple physical device logic from system automation. The platf

    Calculates new sensor values by aggregating data from multiple existing entities using software logic.

    HTMLdocumentationhacktoberfesthass
    Ver en GitHub↗9,466
  • hybridgroup/gobotAvatar de hybridgroup

    hybridgroup/gobot

    9,425Ver en GitHub↗

    Gobot is a robotics framework for the Go programming language designed for developing robotics, drones, and IoT applications. It provides a hardware abstraction layer with standardized drivers to interact with GPIO, I2C, SPI, and PWM interfaces across various single-board computers and microcontrollers. The framework functions as an IoT device orchestrator and BLE device manager, enabling the coordination of multiple sensors, actuators, and Bluetooth Low Energy peripherals. It includes specialized interfaces for drone control, allowing for the management of flight maneuvers and video streams

    Implements standardized interfaces for reading and interacting with various analog hardware components.

    Goarduinobeaglebonebeaglebone-black
    Ver en GitHub↗9,425
  • prusa3d/prusaslicerAvatar de prusa3d

    prusa3d/PrusaSlicer

    9,146Ver en GitHub↗

    PrusaSlicer is a G-code generator that converts 3D models into machine instructions for FFF and mSLA printers, handling slicing, infill, and support generation. It provides a command-line slicing interface for processing models and profiles via terminal commands without a graphical user interface, and includes a G-code customization engine that inserts user-defined macros, variables, and post-processing scripts into generated G-code for tailored machine control. The software also manages multi-material prints by coordinating multiple extruders and filament colors, assigning materials to model

    Assigns a custom SVG or PNG image as the visual representation of the print bed.

    C++
    Ver en GitHub↗9,146
  • dusty-nv/jetson-inferenceAvatar de dusty-nv

    dusty-nv/jetson-inference

    8,734Ver en GitHub↗

    jetson-inference is a set of libraries and tools for executing optimized deep learning models on embedded GPU hardware. Its primary purpose is to enable real-time computer vision and AI inference at the edge with low latency and high throughput. The project distinguishes itself through high-performance streaming analytics and the ability to execute concurrent AI pipelines on auto-grade silicon. It provides specialized support for multi-sensor stream processing, utilizing zero-copy data transport to load camera frames directly into GPU memory. The codebase covers a broad surface of capabiliti

    Builds high-performance sensor-processing pipelines using zero-copy data transport directly into GPU memory.

    C++caffecomputer-visiondeep-learning
    Ver en GitHub↗8,734
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  • Analog Sensor Calibration9 sub-etiquetasMathematical adjustment of raw sensor inputs to ensure accurate data reporting. **Distinct from Sensor Processing:** Distinct from general sensor processing: focuses on the calibration and scaling of raw analog values.
  • Encrypted Sensor DecryptorsUtilities for processing and decrypting secure sensor data packets. **Distinct from Sensor Processing:** Distinct from sensor processing: focuses on the security and decryption layer rather than environmental modeling.
  • Real-Time Sensor FusionAlgorithms that combine multiple asynchronous data streams into a single coherent environmental model.
  • Sensor-to-UI MappersLogic for automatically updating interface elements based on real-time sensor data. **Distinct from Sensor Processing:** Distinct from sensor processing: focuses on UI synchronization rather than environmental modeling.
  • Virtual SensorsSensors whose values are computed through software logic rather than direct hardware measurement. **Distinct from Sensor Processing:** Distinct from Sensor Processing: focuses on the creation of a virtual entity (template sensor) rather than the processing algorithms for physical sensor data.