{"product_id":"acoustic-flyover-geolocation-ai-skill-for-accurate-tracking","title":"Acoustic Flyover Geolocation: AI Skill for Accurate Tracking","description":"\u003ch3\u003eAcoustic Flyover Geolocation: AI Skill for Accurate Tracking\u003c\/h3\u003e\n\n\u003cp\u003eThe Acoustic Flyover Geolocation skill enables AI coding agents such as Claude Code, Cursor, and Codex to pinpoint the location and timing of audio or video recordings. By analyzing near-inaudible Doppler curves from propeller aircraft and helicopters, matched with historical ADS-B tracks, this tool supports accurate geolocation calculation even in complex auditory environments.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eIdentifies and analyzes the blade-passing frequency of aircraft to detect Doppler curves in spectrograms.\u003c\/li\u003e\n  \u003cli\u003eMatches extracted Doppler data against historical ADS-B tracks to estimate location accuracy within approximately 100 meters under favorable conditions.\u003c\/li\u003e\n  \u003cli\u003eSupports geolocation through thunder via lightning-data localization.\u003c\/li\u003e\n  \u003cli\u003eIncludes a pre-publication acoustic privacy self-audit feature.\u003c\/li\u003e\n  \u003cli\u003eDeploys a tested Python pipeline for seamless integration with supported AI agents.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eDevelopers and teams using AI coding agents such as Claude Code, Cursor, and Codex.\u003c\/li\u003e\n  \u003cli\u003eOSINT (Open Source Intelligence) analysts and researchers seeking location verification.\u003c\/li\u003e\n  \u003cli\u003eJournalists and media professionals verifying the authenticity of recorded media.\u003c\/li\u003e\n  \u003cli\u003eCTF (Capture The Flag) participants and educators in cybersecurity contexts.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eAuthenticating the location and timing of video content by analyzing ambient noise and aircraft sounds.\u003c\/li\u003e\n  \u003cli\u003eConducting self-audits to ensure recordings do not inadvertently disclose geolocation data.\u003c\/li\u003e\n  \u003cli\u003eSupporting academic research in acoustics and data-driven geolocation studies.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eEmploys advanced acoustics and audio-flyover-geolocation techniques.\u003c\/li\u003e\n  \u003cli\u003eUtilizes historical ADS-B flight data for matching Doppler-derived curves.\u003c\/li\u003e\n  \u003cli\u003eCompatible with Python programming for adaptable process pipeline integration.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003eFor authorised security testing, defensive research and educational use only. This skill does not infringe upon privacy laws or data protections by adhering to compliance standards and ethical guidelines.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eAlanBacker\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/AlanBacker\/audio-flyover-geolocation\" rel=\"nofollow noopener\" target=\"_blank\"\u003eAlanBacker\/audio-flyover-geolocation\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53528136614199,"sku":"MCP-ALANBACKER-AUDIO-FLYOVER-GEOLOCATION-AUDIO-FLYOVER-GEOLOCATION","price":5.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/QiUSTCZ4rXvQjLyxag6Vp_60e0931f95104061ac4f910110a2d75e.jpg?v=1793877086","url":"https:\/\/mcpcart.com\/products\/acoustic-flyover-geolocation-ai-skill-for-accurate-tracking","provider":"SPF PRO","version":"1.0","type":"link"}