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JapanPublic sector2024 – ongoing

Tokyo Metropolitan Government

AI disaster detection from high-mounted cameras

Tokyo began full operation of AI disaster detection using 4 elevated cameras

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Problem

Immediately after a disaster, officials had limited information about damage across the city. Collecting and interpreting that information manually delayed situational awareness.

Approach

Hitachi developed a system that analyzed elevated camera views for large fires, smoke and collapsed buildings. It displayed detected locations and damage information together. Full operation began on March 1, 2024, after a validation exercise.

Results

4cameras used at full rollout, compared with 2 in validation, according to HitachiVendor case study[1]

Takeaway

The system supported the first stage of disaster assessment. Hitachi reported faster information gathering in validation without publishing a numerical time reduction.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Vendor case study

Sources

Source summaries

[1]Hitachi1 Mar 2024

Hitachi announced full operation of Tokyo's camera-based disaster detection system. It reported shorter information-gathering time in validation and an increase from 2 cameras to 4 at rollout.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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