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Tags: Hardware and IoT
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121–144 of 425 · Most stars

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

The ultimate distributed MQTT broker. Handles 100M+ connections and 10M msg/sec with ease. Built on Kafka to provide industrial-grade persistence and eliminate data loss.

Turn Amazon Echos (Echo Dot 3, Echo Dot 2, Echo 2) into local Home Assistant voice satellites. Keeps Amazon's mic processing and wake word engine, replaces Alexa with a small C daemon speaking ESPHome or Wyoming. Multiroom music via Music Assistant, Bluetooth speaker and proxy, no cloud.

Free SDR receiver for macOS, Windows and Linux: digital TV (DVB-T/T2, DVB-C, DVB-S/S2, ATSC, ISDB-T, DTMB), DAB+, FM, DRM, aviation (ADS-B, ACARS, VDL2), satellites, GNSS, ham modes (FT8, PSK31, CW), digital voice, cell towers and a spectrum analyser. HackRF, RTL-SDR, Airspy, SDRplay, BladeRF, LimeSDR, Pluto, USRP.

  • atsc
  • dab
  • digital-tv
  • dvb-t

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

  • ros-kinetic
  • camera-calibration
  • lidar-camera-calibration
  • point-cloud

Linux service to collect and transfer Xiaomi Mi Flora plant sensor data via MQTT to your smart home system, with cluster support 🌱🌼🥀🏡🌳

  • xiaomi
  • xiaomi-smart-home
  • miflora
  • python3

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

Professional Standalone Music Production Center with 7" Touch Screen, Sampler, Touch Strip and Music Tribe JAM DAW

  • behringer
  • kick
  • music-tribe
  • open-source-hardware

Raspberry PI-TIMOLO ( PI-TImelapse, MOtion, LOwLight ) uses RPI picamera and OpenCV for Remote Headless Security Monitoring using Motion Tracking, Rclone Auto Sync files with remote storage services. Auto Twilight Transitions and Low Light Camera Settings. Panoramic images using PanTiltHat and More. This project is featured on GitHub Awesome software.