Crime Scene Analysis
Investigators get photos from witnesses, cameras, and social posts with no location metadata. Oceanir maps those images to ranked street-level candidates, then property-search pulls parcel and address context for follow-up.
Tools Used
<10s
Time to Location
From photo upload to ranked candidate addresses
Street-level
Precision
Confidence-ranked results with visual evidence
Required
No Metadata
Works from image content alone, no GPS or EXIF needed
Workflow
Upload scene photo
Geo-EstimationDrop in any image, surveillance frame, witness photo, or social screenshot.
AI returns location candidates
Geo-EstimationOrca 1.4 ranks candidate locations by confidence, showing visual match evidence for each.
Pin on the map
Geo-EstimationConfirmed candidate drops to the analysis map. Zoom to street level and cross-reference live satellite imagery.
Identify the property
Property SearchRun property-search on the pin to pull parcel data, ownership records, and registered address.
Capabilities Involved
Geo-Estimation
Image geolocation from scene cues, with ranked location options.
Property Search
Map-based parcel lookup for addresses, ownership, and boundaries.
Who Uses This
Start locating scenes
Upload an image and get ranked location leads in seconds.
Common Questions
What types of images work best?
Outdoor scenes with visible architecture, street signs, terrain, or landmarks produce the highest-confidence results. Indoor-only photos with no environmental context are lower confidence.
Does it require any image preprocessing?
No. Upload the raw image. Oceanir handles compression and analysis automatically.
How accurate is street-level precision?
For well-covered cities, the top candidate is typically within 50–200 meters. Multiple candidates are ranked so investigators can verify against ground truth.
Can I analyze multiple images from the same scene?
Yes. Run each image separately and compare clusters on the map. Overlap usually increases confidence in the true location.