# adapt **Repository Path**: mirrors_Kitware/adapt ## Basic Information - **Project Name**: adapt - **Description**: An open source platform for deploying state of the art deep-neural-network computer vision in real time on small unmanned aircraft systems (sUAS) - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-08-08 - **Last Updated**: 2026-03-21 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # ADAPT Multi-Mission Payload ### An open source platform for deploying state of the art deep-neural-network computer vision in real time on small unmanned aircraft systems (sUAS). ![Payload CAD Rendering](docs/img/adapt_payload_assembly.png) ![sUAS](docs/img/snow_img.png) * Optimized drone-based collection of imagery and geospatial metadata with live feedback to maintain quality control. * 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. * Upload your models for aerial deployment with real-time, georegistered analytics wirelessly transmitted to a ground station computer and beyond for rapid dissemination. * 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 ## Supports a variety of unique missions * [Sea and River Ice Monitoring](https://kitware.github.io/adapt/ice_monitor) * [Monitoring Arctic Mammal Populations](https://kitware.github.io/adapt/ice_seal) * [Person Search and Rescue](https://kitware.github.io/adapt/search_and_rescue) * [Wild Fire Monitoring](https://kitware.github.io/adapt/fire_monitoring) * [Coastline Erosion Monitoring](https://kitware.github.io/adapt/coastline_monitoring) Ongoing 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). ## Source Code The ADAPT payload source code is hosted here: [https://gitlab.kitware.com/adapt/adapt_ros_ws](https://gitlab.kitware.com/adapt/adapt_ros_ws) or [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/). ## License This repository is under the Apache 2.0 license, see NOTICE and LICENSE file. ## Documentation Documentation: [https://kitware.github.io/adapt/](https://kitware.github.io/adapt/) ## Events * [Kitware and ACUASI September 2021 data collection in Fairbanks Alaska](https://kitware.github.io/adapt/sept_2021_collects). * [The 3rd NOAA Workshop on Leveraging AI in Environmental Sciences](https://2021noaaaiworkshop.sched.com/info) ## Papers / Presentations * (2022) National Innovation Center Seminar: [Slides](https://docs.google.com/presentation/d/1Z0FEdAjt3vTNZYKwsOXEP_GBd8f6RWV7H0KD1kT_Cfg/edit?usp=sharing) * (2022) Ocean Sciences Meeting: [Slides](https://docs.google.com/presentation/d/15Ib9vKES6aAzlCuejUdRuDkyPnBcADa_OHr9GyepWBY/edit?usp=sharing) * (2022) 1st International Workshop on Practical Deep Learning in the Wild at AAAI Conference on Artificial Intelligence: [Paper](https://arxiv.org/abs/2201.10366) * (2021) NOAA Innovators Series: [Slides](https://docs.google.com/presentation/d/1Bp65DTJMgateIyRNzrCvjfHrLshqS3AUaba3lLGbTts/edit?usp=sharing), [Recording](https://www.youtube.com/watch?v=eD95Di6B5wo&t=1735s) * (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) ## Site For more information go to [https://kitware.github.io/adapt/](https://kitware.github.io/adapt/)