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BurnHancer

Transparency

Technology and Product Transparency

BurnHancer separates observation, technical interpretation, and industrial integration so each can be evaluated on its own evidence.

Lineage

Historical research lineage

Historical BurnHancer documents describe flame detection, image/video processing, colour-analysis experiments, neural-network methods, and a Streamlit demonstration.

Historical BurnHancer documents describe flame detection, image/video processing, colour-analysis experiments, neural-network methods, and a Streamlit demonstration. These materials document historical research and do not establish quantitative performance or production capability.

Architecture

Demo flow and future architecture

The Demo supports a structured review flow. Industrial integration remains subject to representative data, validation, and separate technical scope.

Demo review flow

  1. Approved sample or local media

  2. Local media preview

  3. Visual review output

  4. Observation card

  5. Sample process context

  6. Human technical review

  7. Session / report preview

Future architecture

  1. Camera and plant data

  2. Validated model and sensor-fusion layer

  3. Human-reviewed decision support

  4. Approved industrial integration

Data status

Dataset and benchmark reconciliation

Current dataset inventory, provenance, active model version, and benchmark ledger require reconciliation before quantitative performance claims can be published.

Human review

Human technical review is required

AI-assisted observations require qualified technical review. They are not operating instructions or equipment-control recommendations.

Boundary

Security and privacy boundary

Any use of production data requires defined security, access control, retention, privacy, and deployment architecture.

Roadmap

Observe, validate, integrate

Estimation and integration require representative data, model governance, validation, and separate technical scope.

  1. Stage 1

    Observe

    Structured review of flame media, curated visual output, labelled process context, notes, comparison, and reporting.

  2. Stage 2

    Validate and Estimate

    Dataset governance, reference measurement, model versioning, and a documented benchmark protocol precede any published estimate.

  3. Stage 3

    Integrate and Optimize

    Plant integration scope, operating constraints, safety review, and human authority require separate technical definition.

See the transparency model in the product.

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