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Watch AI agents autonomously navigate Google Street View, comparing visual features in real-time to find the exact location of your photo.
Google Street View contains billions of panoramic images covering roads and streets worldwide. Finding a specific location within this vast dataset by manually clicking through Street View is like searching for a needle in a haystack. Even experienced geolocation experts can spend hours navigating Street View, systematically comparing visual features between a target photo and Street View panoramas. The scale of the problem demands automation.
GeoHunter deploys 8 AI agents that autonomously navigate Google Street View using intelligent search strategies. Each agent moves through streets, intersections, and roads while continuously comparing the visual environment against your uploaded photo using computer vision. Agents follow road networks, detect and investigate landmarks, perform area sweeps when confidence is high, and communicate findings to coordinate the search. The entire process is visible in real-time on a live map with confidence graph tracking.
Watch all 8 agents move on a live map in real-time. See their positions, directions, current strategies, and confidence levels as they navigate Street View.
Agents use adaptive strategies: route following along roads, landmark detection, snap-to-road navigation, area sweeping, and intelligent backtracking when confidence drops.
At each navigation step, agents capture the Street View panorama and compare it against your photo using computer vision, scoring visual similarity across multiple feature categories.
When one agent finds a high-confidence match, other agents converge to verify. Consensus scoring across multiple agents ensures reliable, high-confidence location identification.
Upload one or more photos of the location you want to identify. Our AI instantly analyzes visual clues like signs, architecture, vegetation, and terrain.
8 parallel AI agents deploy into Google Street View. Each agent pursues a different strategy, navigating roads and comparing visual features in real-time.
Agents reach consensus on the best match. You receive precise GPS coordinates with confidence scores, matched features, and a complete investigation trail.
Yes! GeoHunter provides a live map view showing all agent positions, movement paths, and current strategies. A confidence graph tracks each agent's match score over time. You can watch the entire investigation unfold step by step.
Each agent typically checks dozens to hundreds of Street View panoramas per investigation. With 8 agents running in parallel, a single search can evaluate thousands of locations across multiple geographic areas.
When an agent detects a high-confidence visual match, it triggers an Area Sweep — a systematic 360-degree check of all surrounding angles. Other agents are also alerted and converge to the area to independently verify the finding. The location is confirmed only when multiple agents reach consensus.
Google Street View covers roads and streets in over 100 countries worldwide. GeoHunter can search any location where Street View imagery is available, covering major cities, highways, and many rural areas globally.
Upload a photo and watch 8 AI agents search Google Street View in real-time to find the exact location.
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