What you are downloading
File: TrailEyeAI-Setup-1.0.0.exe
Version: 1.0.0
Size: 1,737,008,941 bytes (about 1.62 GiB)
Publisher location: official TrailEye AI GitHub release
The installer is large because TrailEye is a local-first Windows desktop application and includes components required for the standard local AI workflow. The download button opens the release asset on GitHub, while this page remains the permanent source for version, integrity and installation information.
System requirements
- 64-bit Windows 10 or Windows 11.
- Enough free disk space for the installer, application components and the media archive you want to analyze.
- A modern Windows PC; analysis speed depends on file size, media type and hardware.
- A compatible GPU can accelerate local inference through DirectML, but compatibility should be tested with the Free edition.
Trail-camera formats and codecs vary by manufacturer. Start with representative photos and short videos from your own cameras before processing a full season.
Verify the installer
After the download finishes, compare the file's SHA-256 checksum with the official value below. A matching checksum confirms that the downloaded bytes are identical to the published installer.
SHA-25678277868d46d80fa86be411403d3db744f2f7849b0e182f1df2e1031a8348efc
On Windows, open Terminal in the download folder and run:
certutil -hashfile TrailEyeAI-Setup-1.0.0.exe SHA256You can also open the plain-text checksum record.
Windows SmartScreen
Windows SmartScreen can warn about a newly published application when it has not yet built broad download reputation. Do not bypass a warning automatically. First confirm that the filename, release source and SHA-256 checksum match this page. If anything differs, cancel the installation and contact TrailEye AI.
Privacy and network use
Standard photo and video detection runs locally on the Windows PC, and the normal workflow does not require uploading the complete camera archive to a hosted gallery. Some optional functions may use network services, including map tiles, licence operations or an optional user-configured cloud search. Read the local-processing explanation before using sensitive field data.