Computer vision monitoring a mining site to detect operational and safety conditions while AI agents structure visual evidence into findings and actionable audit reports for human review.

心を動かす会話

The AI Mine Site Auditor

Combining computer vision and generative AI agents to expand audit reach, verify site standards, and turn visual evidence into actionable reports.

会議のスケジューリング

ポッドキャストを聴く

-15

+15

0:00

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0:00

An audit can only see what time allows.

WHY THIS "MINE-SITE ASSURANCE" CHALLENGE?

Traditional inspections are periodic and labor-intensive, leaving large operational areas outside the review window. AI can widen coverage across roads, emergency stations, pedestrian segregations, worker facilities, and other domains while keeping interpretation and sign-off with accountable professionals.

主なメリット

Give auditors more ground to cover without diluting judgment

AI extends inspection capacity by structuring visual evidence before it reaches the people responsible for decisions.

Inspect more than footsteps can cover

Expand visual assurance across large and difficult-to-review environments.

Apply the same standard every time

Evaluate observations consistently against digitized site requirements.

Turn imagery into audit-ready evidence

Structure findings, classifications, and reports from images and observations.

Give specialists back their judgment time

Shift effort toward remediation, decisions, and operational improvement.

NTTデータのサポート体制は？

01

Make standards machine-readable

Translate safety, compliance, productivity, and workplace criteria into auditable visual conditions.

Mining safety professional translating site standards into machine-readable visual criteria that computer vision can use to verify PPE, emergency equipment, pedestrian pathways, and infrastructure conditions.

02

Teach the system what matters on site

Use object detection and scene understanding to identify relevant operational conditions.

Mining professional reviewing computer vision analysis that identifies haul trucks, workers, safety equipment, signage, barriers, and other operational conditions across an active mine site.

03

Deploy specialist inspector agents

Configure visual agents for roads, emergency stations, segregations, facilities, and other defined domains.

Mining operations team reviewing multiple specialized Physical AI inspector agents monitoring haul roads, emergency stations, pedestrian segregation, facilities, and operational assets across an active mine site.

04

Compare evidence with requirements

Use a site standards evaluator to assess findings against agreed criteria.

Mining professionals reviewing visual evidence from an active mine site while a Physical AI system compares detected conditions against predefined operational and safety standards.

05

Keep final authority human

We don’t automate accountability. We generate evidence-based assessments and reports for professional review.

Mining professionals discussing computer-vision findings and visual evidence together in an operations center before making the final safety and compliance decision.

Mining professionals discussing operational evidence and AI-supported findings together before making a final safety or compliance decision.

実証済みの効果

More ground inspected. More evidence structured. Human authority retained.

重要な結果

Expanded coverage changes what an audit team can realistically verify.

Extended daily inspection read

32,000 m2 visual coverage per day in an anonymized deployment.

Increased verification cadence

4x daily site-condition reassessment cycles.

Converted observation into action

36 actionable findings.

Preserved professional accountability

Human decision authority remained with responsible reviewers.

Extend assurance beyond the limits of periodic inspection.

Give your teams the evidence to act faster and with greater confidence.

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