{"id":20400008,"url":"https://github.com/kitware/adapt","last_synced_at":"2025-09-01T21:33:32.493Z","repository":{"id":137029242,"uuid":"393462329","full_name":"Kitware/adapt","owner":"Kitware","description":"An open source platform for deploying state of the art deep-neural-network computer vision in real time on small unmanned aircraft systems 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ADAPT Multi-Mission Payload\n\n### An open source platform for deploying state of the art deep-neural-network computer vision in real time on small unmanned aircraft systems (sUAS).\n\n![Payload CAD Rendering](docs/img/adapt_payload_assembly.png)\n![sUAS](docs/img/snow_img.png)\n\n* Optimized drone-based collection of imagery and geospatial metadata with live feedback to maintain quality control.\n\n* Integration with the open source do-it-yourself AI toolkit [VIAME](https://www.viametoolkit.org/) to annotate data and train mission-specific image-processing models.\n\n* Upload your models for aerial deployment with real-time, georegistered analytics wirelessly transmitted to a ground station computer and beyond for rapid dissemination.\n\n* Commodity [hardware components](https://kitware.github.io/adapt/parts), [CAD models](https://github.com/Kitware/adapt/tree/main/cad), and [open-source software](https://gitlab.kitware.com/adapt/adapt_ros_ws) allows organizations to cheaply and easily build their own payloads\n\n## Supports a variety of unique missions\n\n* [Sea and River Ice Monitoring](https://kitware.github.io/adapt/ice_monitor)\n* [Monitoring Arctic Mammal Populations](https://kitware.github.io/adapt/ice_seal)\n* [Person Search and Rescue](https://kitware.github.io/adapt/search_and_rescue)\n* [Wild Fire Monitoring](https://kitware.github.io/adapt/fire_monitoring)\n* [Coastline Erosion Monitoring](https://kitware.github.io/adapt/coastline_monitoring)\n\nOngoing work on the ADAPT project is funded by [NOAA](https://www.noaa.gov/) to support [key missions](https://uas.noaa.gov/Portals/5/Docs/NOAA%20UAS%20Program%20Overview%2019Apr2019.pdf?ver=2019-04-22-144716-137).\n\n## Source Code\nThe ADAPT payload source code is hosted here: [https://gitlab.kitware.com/adapt/adapt_ros_ws](https://gitlab.kitware.com/adapt/adapt_ros_ws) or\n[Try the simulator with docker](https://gitlab.kitware.com/adapt/adapt/-/tree/master/AirSim). Please use the Issue Tracker on Gitlab or contact us [here](https://kitware.github.io/adapt/contact/).\n\n## License\nThis repository is under the Apache 2.0 license, see NOTICE and LICENSE file.\n\n## Documentation\nDocumentation: [https://kitware.github.io/adapt/](https://kitware.github.io/adapt/)\n\n## Events\n* [Kitware and ACUASI September 2021 data collection in Fairbanks Alaska](https://kitware.github.io/adapt/sept_2021_collects).\n* [The 3rd NOAA Workshop on Leveraging AI in Environmental Sciences](https://2021noaaaiworkshop.sched.com/info)\n\n## Papers / Presentations\n* (2022) National Innovation Center Seminar: [Slides](https://docs.google.com/presentation/d/1Z0FEdAjt3vTNZYKwsOXEP_GBd8f6RWV7H0KD1kT_Cfg/edit?usp=sharing)\n\n* (2022) Ocean Sciences Meeting: [Slides](https://docs.google.com/presentation/d/15Ib9vKES6aAzlCuejUdRuDkyPnBcADa_OHr9GyepWBY/edit?usp=sharing)\n\n* (2022) 1st International Workshop on Practical Deep Learning in the Wild at AAAI Conference on Artificial Intelligence: [Paper](https://arxiv.org/abs/2201.10366)\n\n* (2021) NOAA Innovators Series: [Slides](https://docs.google.com/presentation/d/1Bp65DTJMgateIyRNzrCvjfHrLshqS3AUaba3lLGbTts/edit?usp=sharing), [Recording](https://www.youtube.com/watch?v=eD95Di6B5wo\u0026t=1735s)\n* (2021) The 3rd NOAA Workshop on Leveraging AI in Environmental Sciences: [Slides](https://docs.google.com/presentation/d/1PMgJrYxrqMtuJYR-xiAdFsjSSQt90_XOcYZ5pRXP4sk/edit#slide=id.p), [Recording](https://drive.google.com/file/d/1BI0qeIOw7TK262lNJzK_m3XIJd-RSvQn/view?usp=sharing)\n\n## Site\nFor more information go to [https://kitware.github.io/adapt/](https://kitware.github.io/adapt/)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkitware%2Fadapt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkitware%2Fadapt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkitware%2Fadapt/lists"}