Table of Contents
⚠ Disclaimer: This entry may be incomplete, out of date, or inaccurate. It is AI-maintained on a best-effort basis. Do not rely on it as a sole source — verify claims independently using the sources listed below.
Summary
iNTERCEPT is an open-source, self-hosted signal-intelligence platform that unifies a broad set of SDR-based tools behind a single web interface — ADS-B/AIS tracking, pager and satellite decoding, APRS, counter-surveillance (TSCM), and more. Its relevance to drone detection is one module among many: a “Drone Intelligence” feature performing multi-vector UAV detection via ASTM F3411 Remote ID (WiFi/BLE), RTL-SDR scanning at 433/868 MHz, and HackRF scanning at 2.4/5.8 GHz, with a live contact map and risk scoring. Limitation: drone detection is a secondary feature of a general SIGINT platform, not a purpose-built counter-UAS tool — evaluate it primarily if you already want the broader SDR toolkit.
Key Facts
- Author: smittix (GitHub)
- Type: Open-source software (Flask/Python web application)
- License: Apache 2.0
- Status: Very active; 1.9k GitHub stars, 247 forks, releases through v2.27.0 (May 2026)
- Stack: Python (46%), HTML/JS/CSS front end, Docker support (amd64 + arm64), optional PostgreSQL for ADS-B history
- Hardware: RTL-SDR (required baseline, ~$25–35), monitor-mode WiFi adapter, Bluetooth adapter (often built-in), optional HackRF and GPS
How It Works
iNTERCEPT bundles and web-ifies a long list of established open-source SDR tools rather than reimplementing signal processing itself: rtl_fm/multimon-ng for pager decoding, rtl_433 for 433 MHz IoT/sensor traffic, dump1090 for ADS-B, acarsdec/dumpvdl2 for aircraft datalink, direwolf for APRS, aircrack-ng for WiFi monitor-mode scanning, and SatDump for weather satellite imagery, among others. The Drone Intelligence module adds ASTM F3411 Remote ID decoding over WiFi/BLE alongside RTL-SDR-based sub-GHz RF scanning (433/868 MHz, common analog FPV/control bands in some regions) and HackRF-based 2.4/5.8 GHz scanning, correlating detections on a live map with a risk-scoring layer. A guided setup wizard installs tool profiles (Core SIGINT, Maritime & Radio, RF Security, etc.) and the platform can run standalone or in Docker, including distributed “remote agent” sensor nodes.
What Can Be Built With This
For a general-purpose field SIGINT/monitoring station that includes drone awareness as one of several capabilities:
- Deploy on a Raspberry Pi 5 (or x86 host) via the setup wizard or Docker, selecting the “RF Security” and relevant profiles
- Attach an RTL-SDR, monitor-mode WiFi adapter, and optionally a HackRF for 2.4/5.8 GHz coverage
- Enable the Drone Intelligence module alongside ADS-B/AIS tracking for a unified airspace/maritime/RF picture
- Use the distributed remote-agent feature to extend coverage across multiple sites
This is a better fit for users who want one platform covering many SIGINT domains (aircraft, vessels, pagers, weather, drones) than for a dedicated single-purpose drone sensor — compare to Mesh-Mapper or OpenDroneID for narrower, lighter-weight deployments.
Critical Limitation
Drone detection in iNTERCEPT depends on the same constraints as any Remote-ID-based tool for the WiFi/BLE vector, plus whatever RF signatures its 433/868 MHz and 2.4/5.8 GHz scanning modes are tuned to recognize — it does not claim to detect RF-silent, fiber-optic-tethered, or non-compliant drones outside those signatures. As a broad multi-domain SIGINT platform (built partly with AI-assisted coding per the project’s own disclosure), the drone module has had less dedicated scrutiny than single-purpose tools; the README explicitly states the software is for educational and authorized use only.