This time, I conducted an objective and reproducible verification regarding Wayfarer’s “unsafe pedestrian access” assessments using Gemini AI.
Rather than relying solely on subjective explanations, I designed the process so that third parties could independently verify pedestrian accessibility conditions using only the provided videos.
The following is the actual on-site verification process I performed.
【On-Site Verification Process】
・Selected a Google Street View-supported location as the starting point
・Prepared two smartphones
・Used one device for on-site video recording
・Used the other device for GPS observation with Google Maps running
・Started video recording simultaneously on both devices
・Maintained real-time GPS position updates throughout the process
・Actually walked to the destination on foot
・Paid attention to safety and privacy during recording
・Naturally recorded road conditions, terrain, fences, and surrounding environments
・Slowly rotated the camera at notable locations
・Ensured that the GPS-recording video simultaneously captured the same rotational movement in sync
・Avoided editing or unnatural interruptions as much as possible and maintained continuous recording
・After arriving at the destination, recorded the Wayspot candidate and surrounding conditions in detail
・Saved both videos
・Uploaded both the walking video and GPS video to YouTube or similar platforms
This verification method focuses on the following points:
“Demonstrating that the movement was actually performed on foot”
“Showing synchronization between GPS position data and on-site video footage”
“Allowing third parties to independently evaluate the surrounding environment”
After that, I entered the following verification prompt into Gemini AI.
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【Prompt Entered into Gemini – Start】
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Please analyze the following two videos for route continuity, terrain consistency, GPS synchronization, and pedestrian accessibility.
【Video URLs】
Walking route video:
https://www.youtube.com/watch?v=_35mVnfxW8U
GPS-synced route video:
https://www.youtube.com/watch?v=ODdn8yNWy9E
【Items to Verify】
■ Route Continuity
- Check whether the walking route appears continuous.
- Check for unnatural cuts, jumps, warping, or editing artifacts.
- Determine whether the movement speed and camera behavior are consistent with normal walking.
■ GPS and Terrain Consistency
Please verify whether the following elements are consistent with the video footage.
- GPS movement
- terrain and elevation
- road shape
- embankment structure
- pond/reservoir layout
- surrounding structures and fences
■ Timeline Analysis
Please summarize the environmental changes approximately every 1 minute.
Example:
0:00–1:00
1:00–2:00
2:00–3:00
For each section, briefly describe:
- current location status
- surrounding environment
- approach progress
- pedestrian accessibility
■ Pedestrian Accessibility and Safety Evaluation
Please objectively analyze whether the route appears walkable and reasonably safe under normal daytime conditions.
Please evaluate:
- whether normal pedestrian access appears possible
- whether the route width is sufficient for walking
- whether the terrain appears dangerous
- whether there are obvious hazards, collapses, or restricted areas
Also include a final “Safety Level” evaluation using one of the following categories:
- Extremely Safe
- Generally Safe
- Neutral / Ordinary
- Somewhat Dangerous
- Dangerous
- Extremely Dangerous
Please explain:
- why that safety level was selected
- which visible elements in the footage support that conclusion
■ Cross-video Consistency
Please determine whether the two videos appear to depict:
- the same location
- the same route
- the same target area
【Important】
Please prioritize objective analysis based on:
- visible evidence
- GPS behavior
- terrain
- structures
- road conditions
- walking continuity
Please clearly separate:
- objectively verifiable facts
from
- assumptions or speculation
Please respond entirely in English.
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【Prompt Entered into Gemini – End】
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※ Please replace the uploaded video URLs with your own before using this template.
Gemini’s analysis produced the following conclusions:
- Continuous pedestrian movement on a paved route was confirmed
- High consistency between GPS movement and terrain
- No visible “No Trespassing” signs
- No major collapses or dangerous structural hazards
- General pedestrian access appeared possible
- Final safety level: “Generally Safe”
Of course, I do not consider AI analysis to be absolute.
However, by combining:
- actual on-foot recordings
- GPS synchronization
- publicly available videos
- the published prompt
- the ability for third parties to independently reproduce the verification
I believe this may serve as one example of a more objective method for evaluating pedestrian accessibility, rather than relying primarily on subjective impressions alone.
I hope this can serve as a useful reference for future rural Wayspot nominations and areas where Street View coverage is limited.
This verification method was developed during discussions related to a rural nomination that received an “unsafe pedestrian access” assessment: