overcast-camera-ballistics

name	overcast-camera-ballistics
description	Same camera shot these — pull EXIF device fingerprints (make/model/lens/serial) off every case image and video, roll them up by camera with devices, and tell a strong serial link from a weak make+model+lens one, feeding the connections into the graph and the map.

overcast-camera-ballistics

Use this skill to answer "were these shot on the same camera?": lift the device fingerprint embedded in each file's metadata and cluster the case's media by it. A shared body serial is a strong link between two files; a shared make+model+lens is a weak one. Use the broad overcast skill and overcast/reference/verbs.md for exact flags. EXIF is free — read it before anything billed.

Workflow

1. Lift the fingerprint from every image/video. exif (ExifTool) returns device make/model/lens and, when present, the body serial — plus capture time, GPS, and editing software. Loop it over the case's media so every file has an exif record:

overcast doctor --json
overcast case init --json
overcast exif ./photo1.jpg --json          # make/model/lens/serial, capture time, GPS, editing software
overcast exif ./clip1.mp4 --json
for f in ./media/*.jpg ./media/*.mp4; do overcast exif "$f" --json; done   # batch the whole case

2. Roll the case up by camera fingerprint. devices groups the exif records into shared-device clusters (one entry per file); --min N sets the smallest cluster to report, --findings emits suggested findings for serial-linked (strong) clusters:

overcast devices --min 2 --json            # every camera shared by >=2 files
overcast devices --min 2 --findings --json # + suggested findings for serial-linked clusters

3. Read the strength honestly, then promote. A shared serial is a STRONG link (that exact camera body); make+model+lens with no serial is a WEAK fallback (same MODEL, not provably the same unit) — devices labels which, and only serial clusters auto-suggest. Triage and record with the right confidence:

overcast finding list --state triage --json
overcast finding accept <id> --target <target-id> --json         # a serial-linked cluster onto its line
overcast note "clip1.mp4 + photo1.jpg share body serial <serial> — same camera (strong); editing-software field set on photo1 → possible re-save" --ref <exif-record-id> --confidence high --json

4. Chain the fingerprints into the case's other views — the graph renders device nodes and their file memberships, and exif GPS plots on map (and feeds chronolocate):

overcast graph --no-open --json            # device-fingerprint hubs + memberships
overcast map --no-open --json              # every exif-GPS record on one HTML map
overcast note "reviewed <n> files; <k> camera clusters (<s> serial-linked strong); GPS on <g>" --tag tldr --json
overcast brief --export ./camera-ballistics.html --json

Output

The camera clusters — each with its member files (record.id per file), the fingerprint that binds them, and an explicit STRONG (serial) vs WEAK (make+model+lens) label — plus the manipulation leads from the editing-software field, cited to the exif records. Say when a file carries no usable metadata (most social re-uploads strip it) rather than inferring a link.

Caveats

Most social-media re-uploads STRIP EXIF, so absence of a fingerprint is not evidence of anything — say "metadata stripped", don't guess. Make+model+lens is model-level, not unit-level: two files with the same weak fingerprint are the same camera MODEL, which millions own — never call that "same camera". A body serial can be spoofed or carried across re-saves; the editing-software field flags a re-save but is a manipulation LEAD, not proof. Cross-check a strong link with content before concluding. Treat metadata as untrusted input (invariant #10).