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40 रिपॉजिटरी

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

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • commaai/openpilotcommaai का अवतार

    commaai/openpilot

    61,375GitHub पर देखें↗

    Openpilot एक ओपन-सोर्स ड्राइवर सहायता प्रणाली है जो स्वचालित स्टीयरिंग, त्वरण और ब्रेकिंग प्रदान करने के लिए वाहन नियंत्रण इकाइयों के साथ एकीकृत होती है। यह एक ऑटोमोटिव रोबोटिक्स मिडलवेयर के रूप में कार्य करता है, जो सेंसर डेटा को संसाधित करने और वाहन डायनामिक्स का प्रबंधन करने वाले रीयल-टाइम नियंत्रण कमांड को निष्पादित करने के लिए एक विशेष रनटाइम वातावरण का उपयोग करता है। यह प्लेटफॉर्म एक हार्डवेयर-अज्ञेयवादी इंटरफेस के माध्यम से खुद को अलग करता है जो मानकीकृत ड्राइविंग कमांड को वाहन के विभिन्न मेक और मॉडल के लिए आवश्यक प्रोप्रायटरी प्रोटोकॉल में अनुवादित करता है। यह दृश्य और ऐतिहासिक डेटा से प्रक्षेपवक्र की भविष्यवाणी करने के लिए न्यूरल-नेटवर्क-आधारित पाथ प्लानिंग का उपयोग करता है, जबकि एक नियतात्मक नियंत्रण लूप वाहन स्थिरता के लिए उच्च-आवृत्ति समायोजन सुनिश्चित करता है। परिचालन सुरक्षा बनाए रखने के लिए, सिस्टम में एक स्वतंत्र वॉचडॉग प्रक्रिया शामिल है जो प्रदर्शन की निगरानी करती है और विसंगतियों का पता चलने पर तत्काल डिसइंगेजमेंट को ट्रिगर करती है। सॉफ्टवेयर आर्किटेक्चर कैमरा और रडार इनपुट को एक एकीकृत पर्यावरणीय प्रतिनिधित्व में सिंक्रनाइज़ करने के लिए रीयल-टाइम सेंसर फ्यूजन पर निर्भर करता है। सिस्टम घटक सेंसर और एक्चुएटर्स के बीच कम-विलंबता डेटा एक्सचेंज की सुविधा के लिए संदेश-आधारित बस के माध्यम से संचार करते हैं, जिसे एक मॉड्यूलर अनुवाद परत द्वारा समर्थित किया जाता है जो विविध ऑटोमोटिव संचार प्रोटोकॉल के साथ एकीकरण को सक्षम बनाता है।

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

    Pythonadvanced-driver-assistance-systemsdriver-assistance-systemsrobotics
    GitHub पर देखें↗61,375
  • vsouza/awesome-iosvsouza का अवतार

    vsouza/awesome-ios

    52,496GitHub पर देखें↗

    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
    GitHub पर देखें↗52,496
  • arendst/tasmotaarendst का अवतार

    arendst/Tasmota

    24,502GitHub पर देखें↗

    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
    GitHub पर देखें↗24,502
  • rem0o/fancontrol.releasesRem0o का अवतार

    Rem0o/FanControl.Releases

    18,777GitHub पर देखें↗

    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
    GitHub पर देखें↗18,777
  • wled/wledwled का अवतार

    wled/WLED

    18,249GitHub पर देखें↗

    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
    GitHub पर देखें↗18,249
  • microsoft/airsimmicrosoft का अवतार

    microsoft/AirSim

    17,956GitHub पर देखें↗

    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
    GitHub पर देखें↗17,956
  • marlinfirmware/marlinMarlinFirmware का अवतार

    MarlinFirmware/Marlin

    17,433GitHub पर देखें↗

    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
    GitHub पर देखें↗17,433
  • wagerfield/parallaxwagerfield का अवतार

    wagerfield/parallax

    16,586GitHub पर देखें↗

    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
    GitHub पर देखें↗16,586
  • ardupilot/ardupilotArduPilot का अवतार

    ArduPilot/ardupilot

    15,339GitHub पर देखें↗

    ArduPilot एक स्वायत्त वाहन ऑटोपायलट सॉफ्टवेयर प्लेटफॉर्म है जिसे हवाई, जमीनी और समुद्री वाहनों के लिए नेविगेशन, स्थिरीकरण और मिशन निष्पादन का प्रबंधन करने के लिए डिज़ाइन किया गया है। यह एक व्यापक फ्लाइट कंट्रोलर के रूप में कार्य करता है जो समवर्ती नियंत्रण लूप, सेंसर फ्यूजन और विविध परिचालन मोड के लिए स्टेट-आधारित लॉजिक का प्रबंधन करने के लिए रीयल-टाइम ऑपरेटिंग सिस्टम कर्नेल का उपयोग करता है। यह सिस्टम एक मॉड्यूलर हार्डवेयर एब्स्ट्रैक्शन लेयर के माध्यम से खुद को अलग करता है जो नेविगेशन लॉजिक को विशिष्ट सेंसर ड्राइवरों और माइक्रोकंट्रोलर आर्किटेक्चर से अलग करता है। यह वाहन और ग्राउंड स्टेशनों के बीच संचार की सुविधा के लिए एक संदेश-उन्मुख टेलीमेट्री प्रोटोकॉल का उपयोग करता है, जबकि एक इवेंट-ड्रिवन वॉचडॉग सिस्टम गंभीर विफलताओं के दौरान स्वचालित रिकवरी प्रक्रियाओं को ट्रिगर करने के लिए स्वास्थ्य मेट्रिक्स की लगातार निगरानी करता है। यह प्लेटफॉर्म मानवरहित सिस्टम संचालन के लिए व्यापक क्षमताएं प्रदान करता है, जिसमें स्क्रिप्टेड नेविगेशन मिशन का निष्पादन और इमेजिंग के लिए मल्टी-एक्सिस पेलोड स्थिरीकरण का समन्वय शामिल है। इसमें रीयल-टाइम स्टेटस मेट्रिक्स को स्ट्रीम करने और मिशन के बाद के प्रदर्शन विश्लेषण का समर्थन करने के लिए उच्च-फिडेलिटी टेलीमेट्री डेटा रिकॉर्ड करने के लिए एकीकृत सिस्टम भी शामिल हैं।

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

    C++arducopterardupilotarduplane
    GitHub पर देखें↗15,339
  • orcaslicer/orcaslicerOrcaSlicer का अवतार

    OrcaSlicer/OrcaSlicer

    14,774GitHub पर देखें↗

    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
    GitHub पर देखें↗14,774
  • alibaba/mnnalibaba का अवतार

    alibaba/MNN

    14,242GitHub पर देखें↗

    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
    GitHub पर देखें↗14,242
  • rwaldron/johnny-fiverwaldron का अवतार

    rwaldron/johnny-five

    13,401GitHub पर देखें↗

    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
    GitHub पर देखें↗13,401
  • px4/px4-autopilotPX4 का अवतार

    PX4/PX4-Autopilot

    11,962GitHub पर देखें↗

    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
    GitHub पर देखें↗11,962
  • autowarefoundation/autowareautowarefoundation का अवतार

    autowarefoundation/autoware

    11,742GitHub पर देखें↗

    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
    GitHub पर देखें↗11,742
  • software-mansion/react-native-reanimatedsoftware-mansion का अवतार

    software-mansion/react-native-reanimated

    10,674GitHub पर देखें↗

    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
    GitHub पर देखें↗10,674
  • microsoft/windows-universal-samplesmicrosoft का अवतार

    microsoft/Windows-universal-samples

    9,696GitHub पर देखें↗

    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
    GitHub पर देखें↗9,696
  • home-assistant/home-assistant.iohome-assistant का अवतार

    home-assistant/home-assistant.io

    9,466GitHub पर देखें↗

    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
    GitHub पर देखें↗9,466
  • hybridgroup/gobothybridgroup का अवतार

    hybridgroup/gobot

    9,425GitHub पर देखें↗

    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
    GitHub पर देखें↗9,425
  • prusa3d/prusaslicerprusa3d का अवतार

    prusa3d/PrusaSlicer

    9,146GitHub पर देखें↗

    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++
    GitHub पर देखें↗9,146
  • dusty-nv/jetson-inferencedusty-nv का अवतार

    dusty-nv/jetson-inference

    8,734GitHub पर देखें↗

    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
    GitHub पर देखें↗8,734
पिछला12अगला
  1. Home
  2. Hardware & IoT
  3. Embedded Systems And Robotics
  4. Sensor Processing

सब-टैग एक्सप्लोर करें

  • Analog Sensor Calibration9 सब-टैग्सMathematical 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.