{"id":16017586,"url":"https://github.com/tentone/webkinect","last_synced_at":"2025-09-18T21:31:55.042Z","repository":{"id":97242973,"uuid":"202903689","full_name":"tentone/webkinect","owner":"tentone","description":"Provides access to Microsoft kinect sensor data (skeleton, color camera and depth camera) from HTTP using WebSockets..","archived":false,"fork":false,"pushed_at":"2020-07-08T11:01:37.000Z","size":360,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-11-12T18:11:52.978Z","etag":null,"topics":["kinect-sensor","websockets"],"latest_commit_sha":null,"homepage":"","language":"C#","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tentone.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-08-17T16:09:14.000Z","updated_at":"2024-11-09T07:02:09.000Z","dependencies_parsed_at":"2023-03-12T21:00:16.851Z","dependency_job_id":null,"html_url":"https://github.com/tentone/webkinect","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tentone%2Fwebkinect","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tentone%2Fwebkinect/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tentone%2Fwebkinect/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tentone%2Fwebkinect/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tentone","download_url":"https://codeload.github.com/tentone/webkinect/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":233524730,"owners_count":18689177,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["kinect-sensor","websockets"],"created_at":"2024-10-08T16:20:40.107Z","updated_at":"2025-09-18T21:31:49.686Z","avatar_url":"https://github.com/tentone.png","language":"C#","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Web Kinect\n - HTTP Web server to allow using Microsoft Kinect in web pages trough [WebSockets](https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API).\n    - Works with Kinect 1.0 only should be easily adaptable to work with Kinect 2.0 but I do not have access to one for testing.\n - Allows raw access to the Kinect cameras information (Depth and Color image) and access to the human skeleton generated by the [Kinect SDK](https://www.microsoft.com/en-us/download/details.aspx?id=44561).\n - The server runs by default in the `localhost` at port `8181` the browser should be able to communicate with the server without additional configurations even on HTTPS.\n - A compiled version of the program is available on the `bin` folder in the root of the Git repository.\n\n\n\n### Usage Example\n\n- There is a usage example available in the example page intended to be used alongside with [three.js](https://threejs.org/)\n- The communication with the server is performed using  `JSON` encoded messages for the skeleton data and `Blob` encoded binary data for the images captured from the cameras.\n- Here is a basic example of how we can exchange information with the Kinect server.\n- The URL of the image could be easily placed inside of an `img` element for visualization. Its also possible to copy the blob data to a `WebGL` texture for processing.\n\n```javascript\nvar socket = new WebSocket(\"ws://127.0.0.1:8181\");\nvar connected = false;\n\nsocket.onopen = function() {\n\tconnected = true;\n};\n\nsocket.onclose = function() {\n\tconnected = false;\n};\n\nsocket.onmessage = function(event) {\n\t// Skeleton data\n\tif(typeof event.data === \"string\") {\n\t\tvar data = JSON.parse(event.data);\n\t\t// ...\n\t}\n\t// Camera feed\n\telse if(event.data instanceof Blob) {\n\t\tvar camera = event.data;\n\t\tvar url = URL.createObjectURL(event.data);\n\t\t// ...\n\t}\n};\n```\n\n\n\n### License\n\n- Project uses a MIT license that allow for commercial usage of the platform without any cost.\n- The license is available on the project GitHub page\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftentone%2Fwebkinect","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftentone%2Fwebkinect","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftentone%2Fwebkinect/lists"}