Birsav Bilişim
Preparing the system
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Detection of structure change with AI from periodic satellite images; The entire process from discovery to sanction is in a single panel. Live in the field in multiple municipalities.
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Comparing periodic satellite images with the segmentation model and automatically extracting new/unauthorized building candidates; auditing platform that verifies candidates with a second AI layer and connects each finding to the task-action-document flow on a neighborhood/street-based map. With multi-municipal licensing architecture, each institution operates in its own region; It is used live in the field in more than one municipality.
Illegal building detection depended on complaint and random site tours
It was not possible to scan the district regularly with human power.
The post-detection process (report, duty, sanction) was carried out unrecorded.
District-wide screening: exponential increase in detection coverage
Periodic satellite image comparison (segmentation AI)
Neighborhood/street based change map (satellite + WMTS layers)
Second layer AI verification — false alarm elimination
Finding → task → action → document process file
Construction file and sanction tracking
Multi-municipal license and role management
Field verification — finding by location, photographic report
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Early intervention in new construction
Seamless, auditable process recording from discovery to sanction