r9cam/codemeta.json at main · CMLPlatform/r9cam · GitHub

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{
  "@context": "https://w3id.org/codemeta/4.0",
  "@type": "SoftwareSourceCode",
  "name": "r9cam",
  "description": "Device-side software for automated image capture on Raspberry Pi, integrated with the R9lab platform. A FastAPI service captures still images with per-capture camera metadata, serves a live preview, pairs to R9lab over an outbound WebSocket relay with device-signed tokens, and uploads captures with a disk-backed retry queue.",
  "version": "0.6.2",
  "datePublished": "2026-09-07",
  "license": "https://spdx.org/licenses/AGPL-3.0-or-later",
  "codeRepository": "https://github.com/CMLPlatform/r9cam",
  "issueTracker": "https://github.com/CMLPlatform/r9cam/issues",
  "url": "https://r9lab.io",
  "programmingLanguage": "Python 3.13",
  "runtimePlatform": "Python 3.13",
  "operatingSystem": "Raspberry Pi OS (64-bit)",
  "developmentStatus": "active",
  "author": [
    {
      "@type": "Person",
      "@id": "https://orcid.org/0009-0006-6953-909X",
      "givenName": "Simon",
      "familyName": "van Lierde",
      "email": "s.n.van.lierde@cml.leidenuniv.nl",
      "affiliation": {
        "@type": "Organization",
        "name": "Department of Industrial Ecology, Institute of Environmental Sciences (CML), Leiden University"
      }
    }
  ],
  "keywords": [
    "Raspberry Pi",
    "image capture",
    "computer vision",
    "research software",
    "circular economy",
    "industrial ecology"
  ]
}