13 skills found
rabschi / Awesome BeaconA curated list of awesome Bluetooth beacon software and tools.
dermike / Slide Beacon AppShare links from your Mac using this app to broadcast them as a Physical Web Eddystone URL bluetooth beacon or mDNS.
adriancretu / Beacons AndroidAndroid BLE advertising library
forksociety / PyBeaconPython package for scanning and advertising Eddystone-URL and Eddystone-UID.
yencarnacion / Eddystone Url CalculatorThis a javascript single page app that generates the Linux commands for broadcasting a URL as a Eddystone URL beacon.
chriso0710 / PikioskAutomate Chromium in kiosk mode and Eddystone beacon on Raspberry Pi Raspbian Jessie with Ansible. Use a single command to update the kiosk and Eddystone URLs on all machines.
dermike / Slide BeaconShare URL's in presentational slides from a Physical Web Eddystone beacon, making the current Reveal.js slide link only a tap away for the audience.
roywant / EddystoneBeaconGoogle Open Source image for Eddystone Beacon supporting UID / URL / TLM / EID frames and GATT service
dermike / Eddystone BookmarkletShare links in the office with this Eddystone URL beacon bookmarklet
bneedhamia / CurieEddystoneURL(obsolete) Arduino 101 Sketch to Advertise an Eddystone URL
Green077 / Elevator Traffic MonitorElevator Traffic Monitor collects and analyzes elevator usage data, providing feedback to elevator riders. Elevator riders are informed of decisions about how to reach their destination faster, taking the stairs or elevators. The Elevator Traffic Monitor is divided into three sub-systems: data collection, data analysis, and information distribution. Data Collection: Data collection sub-system consists of a camera connected to a WiFi enabled microcontroller. It takes a snapshot of the elevator bank every 20 seconds, it about the time an elevator spends stopped on one floor and sends it to a server set up on a Google Compute Engine instance. The images are timestamped and saved to a folder on the instance. Data Analysis: Data Analysis system reads the position of the elevator from the images using an SVM model trained to recognize a specific type of elevator. Keep the position and timestamp pair in database and calculate the velocity by time of day. Compare the velocity with the pre-recorded time used to take stairs. So that a decision about taking elevator or stairs could be made. Information distribution: The decision depends on what floors the user is in. Bluetooth low energy (BLE) beacons broadcast Eddystone-URL frames that contain URLs tied to the floor the beacon is located. When a user accesses the webpage tied to the beacon nearest them, they receive relevant travel suggestions from their starting point.
pgaubatz / Node Eddystone Url EncodingEncode and decode Eddystone URLs
jeffprestes / Go Eddystone UrlBroadcasting Eddystone URL using Go
