New Open-Source Tool Uses Photogrammetry to Analyze UFO Sightings

A new open-source tool called PHODAR is making waves in the UFO research community by offering a comprehensive way to analyze photos and videos of unidentified flying objects (UFOs). The software, which can be accessed for free, leverages photogrammetry techniques to determine the size, distance, speed, and even G-forces experienced by potential UFO sightings.

PHODAR works by taking multiple images or video clips from different angles and locations. By inputting this data into the tool, users can triangulate the exact position of an object in question, providing a level of accuracy that single-image analyses cannot achieve. The software automatically extracts metadata such as camera angles and positions to ensure precise calculations.

One of PHODAR's standout features is its ability to simulate radar-like precision using just photographs or video footage. This capability allows researchers to estimate the size and distance of objects with high reliability, even when dealing with blurry or unclear images. Additionally, the tool offers automatic object tracking in videos, stabilizing shaky handheld footage to provide a clearer analysis.

Developers behind PHODAR emphasize its potential utility for various scenarios within UFO research communities. For instance, planned watch events where multiple observers capture footage from different vantage points can benefit significantly from this tool's triangulation capabilities. Similarly, mass sightings involving numerous witnesses photographing the same object from diverse locations present ideal datasets for PHODAR to analyze.

In solo sighting cases, PHODAR helps individuals validate their initial impressions about an observed UFO’s size and distance using geometric principles derived from a single image. This feature is particularly useful for those who may have captured what they believe to be a UFO but lack the means to verify its characteristics scientifically.

The software also includes advanced features such as automatic video stabilization, object tracking through entire clips, and exporting stabilized videos alongside detailed reports. These functionalities make PHODAR not only a powerful analytical tool but also an educational resource for enthusiasts seeking to understand complex photographic evidence more deeply.

Currently optimized primarily for iPhone users due to the developer's primary device usage, PHODAR is browser-based and should theoretically work across various platforms. However, there may be compatibility issues with Android devices that need addressing through community feedback and collaboration.

The tool’s GitHub repository invites contributions from interested developers looking to enhance its functionalities further or integrate it into existing UFO research databases. Potential upgrades include refining the user interface for better usability and developing specific workflows tailored for drone footage analysis and satellite imagery interpretation.

With PHODAR, UFO researchers now have a robust new resource at their disposal to scrutinize photographic evidence with unprecedented detail and accuracy.