Search Results for "sensor"
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Showing 571 open source projects for "sensor"
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Adafruit Unified Sensor Driver
Common sensor library
...By reducing all data to a single sensors_event_t 'type' and settling on specific, standardized SI units for each sensor family the same sensor types return values that are comparable with any other similar sensor. This enables you to switch sensor models with very little impact on the rest of the system, which can help mitigate some of the risks and problems of sensor availability. -
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Fan Control
Highly customizable fan controlling software for Windows
Fan Control is a Windows utility designed to give users fine-grained, customizable control over system fans (CPU, GPU, case, etc.) based on temperature and sensor inputs. Rather than relying solely on BIOS fan curves, it allows dynamic adjustment of fan behaviour at the operating-system level — letting you react to real-time load, mix multiple sensors (CPU, GPU, motherboard, drives, etc.), and define custom fan-speed curves for different situations. The tool supports both manual mode (user directly sets fan speeds) and automated mode (fans follow sensor-driven graphs), enabling flexible tradeoffs between noise, cooling, and performance. ... -
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kapture
Tools for manipulating datasets
Kapture is a pivot file format, based on text and binary files, used to describe SfM (Structure From Motion) and more generally sensor-acquired data. -
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OpenHardwareMonitor
Free open source tool for real-time PC hardware sensor monitoring
...It provides real-time insights into key system metrics such as temperatures, fan speeds, voltages, load percentages, and clock speeds by reading directly from sensors embedded in CPUs, GPUs, motherboards, and storage devices. The tool supports a wide range of sensor hardware found on modern systems, including Intel and AMD processors, NVIDIA and AMD graphics cards, SMART temperature sensors on storage drives, and many motherboard monitoring chips. Users can view monitored data directly within the application, as customizable desktop gadgets, or through a system tray interface, making it easy to keep an eye on system health at a glance. ... -
Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA Isaac Sim
...It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). GPU-accelerated, high-fidelity physics and sensor simulation suitable for complex learning tasks. Offers a variety of robotic environment simulations on both Linux and Windows. -
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FanCtrl
FanCtrl allows you to automatically control the fan speed
...It combines monitoring and control in one place, letting you view temperatures, fan RPM, and control percentages while you tune how aggressively each fan responds. The project supports a range of control backends and integrations, including motherboard fan headers and several popular cooling ecosystems, and it can also pull sensor data from common monitoring tools so your fan logic can react to the readings you trust. A core concept is “auto fan control” profiles where you pick a target temperature sensor, select which fans should follow it, and then shape the curve via a graph-like interface. It also includes quality-of-life options like renaming items, choosing units (including Fahrenheit), and starting minimized for a set-it-and-forget-it setup. -
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CARLA Simulator
Open-source simulator for autonomous driving research.
...Users can configure diverse sensor suites including LIDARs, multiple cameras, depth sensors and GPS among others. Users can easily create their own maps following the OpenDrive standard via tools like RoadRunner. -
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CapFrameX
Frametime capture and analysis tool
CapFrameX is a performance capture and analysis tool designed for PC gamers and benchmarking enthusiasts, which records frametimes, frame-rates and various sensor data during game or application execution. It uses backend tools like PresentMon to log data and then exposes a comprehensive UI for analyzing the results: you can view charts of frametimes, historic graphing, stuttering analysis, L-shape graphs, input-lag overlays, and compare multiple capture runs side by side. Importantly, the tool also integrates with sensor inputs (CPU, GPU, VRAM, temps, etc.) and overlays statistics in-game via Rivatuner Statistics Server, so you get in-situ feedback while you run. ... -
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Monitorian
A Windows tool to easily adjust brightness of multiple monitors
...It supports both built-in laptop screens and external monitors, allowing adjustments either on a per-monitor basis or all together at once, making it especially useful for multi-monitor setups. The app displays sliders for each connected monitor, and on systems with ambient light sensors it can show both the configured brightness and the sensor-adjusted brightness to help you fine-tune lighting according to your environment. Monitorian also lets you adjust the range of brightness and contrast values for each monitor so you can set custom limits that better match your preferences. Usability features include gesture support on precision touchpads and easy renaming of monitors to keep them organized in the UI. ... -
Outbound sales softwareAdversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
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Segments.ai
Segments.ai Python SDK
Multi-sensor labeling platform for robotics and autonomous vehicles. The platform for fast and accurate multi-sensor data annotation. Label in-house or with an external workforce. Intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Obtain segmentation labels, vector labels, and more. Our labeling interfaces are set up to label fast and precise. -
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RF24
OSI Layer 2 driver for nRF24L01 on Arduino & Raspberry Pi/Linux
...Easy for beginners to use, with well-documented examples and features. Consumed with a public interface that's similar to other Arduino standard libraries. OSI Network Layer for multi-device communication. Create a home sensor network. -
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RuView
Turn WiFi signals into real-time human sensing and spatial awareness.
...Unlike traditional vision systems, RuView operates without cameras, wearables, or cloud connectivity, making it a privacy-first sensing solution. The system runs on low-cost hardware such as ESP32 sensor meshes and performs signal processing and machine learning directly at the edge. By learning the RF signature of each environment over time, RuView adapts automatically to different spaces and improves its sensing accuracy. Designed for applications ranging from healthcare monitoring to disaster response, it enables spaces to gain spatial awareness using the radio signals already present in the environment. -
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FarmBot OS
The operating system and all related software
...Communicate with the web application over WiFi or ethernet so that it can synchronize (download) sequences, regimens, farm designs, events, and more; upload logs and sensor data; and accept real-time commands. Communicate with the Farmduino to send G and F commands and receive sensor and encoder data. Take photos with a USB or Raspberry Pi camera, and upload the photos to the web application. You must use a .img writing tool to write FarmBot OS onto the microSD card. We recommend downloading and installing balenaEtcher for this purpose. -
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open-source application on NVIDIA Omniverse
...It supports a wide array of robotics formats (URDF, MJCF, CAD), includes GPU-accelerated physics, and features immersive RTX rendering and multisensory simulation. Realistic physics via GPU-accelerated engines and RTX ray tracing. Multi-sensor simulation (RGB-D cameras, Lidar, Radar, IMU, contact sensors). Extensible via platform APIs and can integrate into custom USD-based simulators. -
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Maltrail
Malicious traffic detection system
Maltrail is a malicious traffic detection system, utilizing publicly available (black)lists containing malicious and/or generally suspicious trails, along with static trails compiled from various AV reports and custom user-defined lists, where trail can be anything from domain name, URL, IP address (e.g. 185.130.5.231 for the known attacker) or HTTP User-Agent header value (e.g. sqlmap for automatic SQL injection and database takeover tool). Also, it uses (optional) advanced heuristic mechanisms that can help in the discovery of unknown threats (e.g. new malware). Sensor(s) is a standalone component running on the monitoring node (e.g. Linux platform connected passively to the SPAN/mirroring port or transparently inline on a Linux bridge) or at the standalone machine (e.g. Honeypot) where it "monitors" the passing Traffic for blacklisted items/trails (i.e. domain names, URLs and/or IPs). -
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Arduino core for the ESP32
Arduino core for the ESP32
...It features all the state-of-the-art characteristics of low-power chips, including fine-grained clock gating, multiple power modes,and dynamic power scaling. For instance, in a low-power IoT sensor hub application scenario, ESP32 is woken-up periodically and only when a specified condition is detected. The low-duty cycle is used to minimize the amount of energy that the chip expends. The output of the power amplifier is also adjustable, thus contributing to an optimal trade-off between communication range, data rate and power consumption. ... -
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Rerun
Visualize streams of multimodal data
Rerun is an open-source tool that helps developers visualize real-time multimodal data streams, such as images, point clouds, and tensors, for debugging and understanding ML and robotics systems. Designed for use with Python and Rust, it captures logged data and renders it through an interactive desktop interface, making it easier to understand how complex systems behave over time. -
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OpenMQTTGateway
MQTT gateway for ESP8266, ESP32, Sonoff RF Bridge or Arduino
OpenMQTTGateway project goal is to concentrate in one firmware different technologies and protocols, decreasing, by the way, the number of physical bridges needed, and hiding the different technologies singularity behind a simple & widespread communication protocol; MQTT. MQTT gateway for ESP8266, ESP32, Sonoff RF Bridge or Arduino with bidirectional 433mhz/315mhz/868mhz, Infrared communications, BLE, Bluetooth, beacons detection, mi flora, mi jia, LYWSD02, LYWSD03MMC, Mi Scale, TPMS, BBQ... -
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KCloud‑Platform‑IoT
KCloud-Platform-IoT
KCloud-Platform-IoT is a comprehensive open-source IoT management platform built with Spring Cloud and Vue.js. It supports device registration, data collection, rule-based processing, and dashboard visualization. Designed for scalability and modularity, the platform is ideal for managing large IoT fleets in industrial or smart city environments. -
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Seamless Communication
Foundational Models for State-of-the-Art Speech and Text Translation
...The motivation is to move beyond “text in, text out” and enable direct, live, multi-turn exchange involving language, gesture, gaze, vision, and modality switching without user friction. The system architecture includes a real-time multimodal signal pipeline for audio, video, and sensor data, a dialog manager that can decide when to act (speak, gesture, point) or query, and a cross-modal reasoning layer that fuses perception with semantic context. The research prototype includes components for visual grounding (understanding when a user references something in view), gesture recognition and synthesis, and turn-taking mechanisms that mirror human conversational timing. ... -
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
...MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance-critical for live experiences. Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control. ... -
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Open Wearables
Self-hosted platform to unify wearable health data
Open Wearables is an open-source initiative that aims to provide a community-driven ecosystem for wearable device software and interoperability by connecting sensor data, activity tracking, and health insights across multiple platforms and devices. Instead of relying on closed vendor ecosystems, the project provides standardized data models and APIs that let developers and hobbyists collect, sync, and analyze biometric and environmental data from wearables, DIY sensors, and open hardware projects. ... -
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Eagleye
Precise localization based on GNSS and IMU
Eagleye is an open-source software for vehicle localization utilizing GNSS and IMU[1]. Eagleye provides highly accurate and stable vehicle position and orientation by using GNSS Doppler[2][3][4][5][6]. The flowchart of the algorithm is shown in the figure below. The algorithms in this software are based on the outcome of the research undertaken by the Machinery Information Systems Lab (Meguro Lab) at Meijo University. -
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ESPectre
Motion detection system based on Wi-Fi spectre analysis (CSI)
ESPectre is an open-source motion detection system that transforms ordinary Wi-Fi signals into an ambient sensor capable of detecting movement without using cameras, microphones, or additional radio hardware, making it a privacy-preserving and cost-effective alternative for presence sensing and smart home automation. At its core, it analyzes Wi-Fi Channel State Information (CSI) — detailed measurements of how Wi-Fi waves change as they propagate — to mathematically detect disturbances caused by human movement between a Wi-Fi router and an ESP32 microcontroller, eliminating the need for machine learning or training data to operate effectively. ...
