Metadata-Version: 2.4
Name: djicot
Version: 1.1.2
Summary: Geolocate, detect, track & identify DJI Drone sUAS data with TAK.
Home-page: https://github.com/snstac/djicot
Maintainer: Greg Albrecht <oss@undef.net>
Maintainer-email: oss@undef.net
License: Apache 2.0
Project-URL: CI: GitHub Actions, https://github.com/snstac/djicot/actions
Project-URL: GitHub: issues, https://github.com/snstac/djicot/issues
Project-URL: GitHub: repo, https://github.com/snstac/djicot
Keywords: Cursor on Target,CoT,ATAK,TAK,WinTAK,TAK,TAK Server,DJI,UAS,UAV,Drones,Drone ID,OcuSync
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: OS Independent
Requires-Python: <4,>=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pytak>=5.4.0
Provides-Extra: with-takproto
Requires-Dist: takproto>=2.0.0; extra == "with-takproto"
Provides-Extra: test
Requires-Dist: pytest-asyncio; extra == "test"
Requires-Dist: pytest-cov; extra == "test"
Requires-Dist: pylint; extra == "test"
Requires-Dist: flake8; extra == "test"
Requires-Dist: black; extra == "test"
Requires-Dist: pytak; extra == "test"
Dynamic: license-file

# DJI Counter-UAS Intelligence Platform for Public Safety Operations

![DJICOT Screenshot in ATAK showing a DJI Mini 3 Pro UAS, Home & Operator (GCS)](https://djicot.readthedocs.io/en/latest/media/screenshot_1737061493_642.png)

## Overview

DJICOT is a specialized Counter-Unmanned Aircraft System (C-UAS) tool designed for public safety operations. It provides real-time detection, tracking, and identification of DJI drones through passive RF monitoring of OcuSync Drone ID transmissions. The system integrates directly into the Team Awareness Kit (TAK) ecosystem, enabling seamless integration with existing command and control infrastructure for enhanced situational awareness and threat assessment.

[Read the full documentation here.](https://djicot.rtfd.io)

## Key Capabilities

- **Passive RF Detection**: Real-time drone detection and geolocation using commercial off-the-shelf (COTS) equipment
- **Target Identification**: Decodes DJI OcuSync Drone ID for positive identification and serial number extraction
- **Multi-Platform Integration**: Native TAK ecosystem support for C2 systems and common operating picture displays
- **Operational Intelligence**: Displays drone, operator (GCS), and home point positions with flight vectors including speed, heading, and altitude
- **Dual-Band Coverage**: Monitors both 2.4 GHz and 5.8 GHz frequency bands
- **Extended Range**: Detection capability exceeding 2 miles for enhanced perimeter security
- **Rapid Deployment**: Purpose-built for quick integration into existing C-UAS processing chains
- **Electronic Support Measures (ESM)**: Employs passive RF collection methods for covert operations

## Copyright & License

Copyright Sensors & Signals LLC https://www.snstac.com

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
