Are Our Skies Being Watched?
“Dandelion Seeds” and fast-moving UAPs challenge conventional terrestrial explanations and raise the possibility of ultraterrestrial or extraterrestrial observation and monitoring…
📸 Observation 38
Location: Perth city area, Western Australia
Date & Time: 25 November 2025 | ~2pm
Weather: Spring with overcast conditions and diffuse cloud cover.
Source: iPhone video, stable; no filters or lens distortion.
Description: This new clip shows multiple fast-moving aerial objects appearing within the same pixel-airspace as an aircraft. The objects were not visible to the naked eye in real time and were only identified through slow-motion playback and freeze-frame review. The geometric annotations in some of the images reflect pixel-space relationships only and are presented as observational patterns (something humans are naturally wired to detect) not interpretations.
🔍 AI-Assisted Visual Observations (non-conclusive):
• Multiple independent objects within one continuous scene
• Repeated traversal of the aircraft’s surrounding pixel-airspace
• Recurrent triangular geometry with shared nodes (“triangulated mesh”)
• Mixed object morphology observed
• Objects detectable only via slow-motion and freeze-frame review
• Autofocus degradation observed, commonly during rapid motion capture.
🛸 AI-Assisted Weighted Open Assessment (non-definitive):
🛰️ Unidentified / anomalous: 34–40%
• Multi-frame persistence, near-linear motion, repeated aircraft pixel-airspace crossings (“clipping / tagging”), and triangulated mesh geometry
• Consistent with prior MEC object classes across independent scenes.
🤖 Artificial (e.g. micro-drones / clutter): 22–26%
• Plausible for isolated objects
• Less consistent with repeated multi-object geometry.
🌬️ Atmospheric / environmental: 14–18%
• May account for some bright point-like objects
• Does not explain all morphology or pixel-space motion.
🐦 Biological (birds / insects): 6–10%
• Considered but discounted due to lack of wingbeat, erratic motion, or parallax
• Weak fit for the primary objects observed.
📸 Camera / compression / autofocus artefacts: 8–12%
• Acknowledged but insufficient to explain persistence, scale consistency, or geometry.
Independently weighted; categories do not sum to 100%.
Repetition across multiple captures is clear; interpretation remains open.
🕵️♂️ AI-Assessed Motion & Behaviour Signatures (non-conclusive):
⭐ Near-linear to subtly curved traversal paths
⭐ Brief but coherent multi-frame persistence
⭐ Independent motion by multiple objects in the same scene
⭐ Recurrent seemingly non-random geometry forming a triangulated mesh
⭐ Repeated crossings of aircraft pixel-airspace (above, below, lateral)
⭐ Temporary masking in high-contrast regions (cloud gradients / autofocus shifts) with coherent re-emergence
⭐ Contrast variability without corresponding scale or motion change.
🧭 Cumulative Working Hypothesis (open, non-conclusive):
Across multiple recordings, small transient objects repeatedly traverse the same pixel-space environments, often near aircraft or birds, used as spatial references.
Collectively, the recordings show recurring motion profiles, multi-frame persistence, repeated pixel-airspace crossings, and apparent non-random geometric relationships (e.g. triangulated mesh).
While individual instances could have conventional explanations in isolation, repetition across independent datasets reduces the likelihood of a single simple cause.
No claim or determination is or can be made regarding origin, intent, or interaction.
📊 Dataset Context (informational only):
This clip forms part of a growing dataset documenting similar transient objects across varied conditions. Comparable motion signatures, pixel-airspace crossings, and geometric relationships have been observed in other scenes, dates, and locations. Context is provided for comparative analysis only, not as proof of anything.
💬 All views and interpretations welcome in the comments below.
👍 If you found this presentation interesting, please review my past videos and if you want to see more please Like • Share • Subscribe.
🤳 If this channel is also sparking your own curiosity, why not get out your camera and start recording the skies.
🎥 More recordings are already in hand, with frame-by-frame analysis under way. Further footage will be released as part of the growing MEC UAP dataset and series.
🐉 For all things “UAP Dragons” be sure to tune into Dr Robert Shiepe's channel @custodianfile.
⚠️ Personal observations only. No claims made, including but not limited to, origin, source, intent, or interaction. AI-assisted tools are used to support visual review and may be subject to error. All footage is shared for documentation, public interest, open analysis and entertainment. Full disclaimer in first post of series. Thanks for your support!
#ufo #uap #uav #nhi #uapdragon #uapresearch #uapanalysis #aianalysis #skywatcher #skywatching #lookup #perthwa
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