NO CLIENT IMAGERY SHOWN — EVER
FOR ASSET INTEGRITY & COMPLIANCE ENGINEERS

Between your inspections, the slope doesn't wait.

BlackBox: 39N automatically detects and tracks tension cracks in the drone photogrammetry imagery you capture — on whatever cadence fits your program. Findings go to your PE of record, not a dashboard for the public.

THE GAP IN YOUR PROGRAM

Your inspection program is point-in-time. The failure mode isn't.

You're already running the Annual Inspection under §257.83 and the five-year Periodic Structural Stability Assessment under §257.73(d). Both are snapshots — a qualified professional walks the embankment, documents conditions, and signs off.

A tension crack can initiate and propagate entirely inside that interval. The gap isn't a knowledge problem — it's a sampling-frequency problem on a slope whose failure mode doesn't run on your inspection calendar.

EPA CCR RULE · 40 CFR PART 257 →
5.4M
cubic yards released, Kingston Fossil Plant, 2008 — a monitoring-frequency failure, not a design surprise
EPA source →
39,000
tons of coal ash spilled, Dan River, 2014 — a stormwater pipe failure, undetected until discharge
EPA source →
700+
active coal ash surface impoundments under CCR, plus legacy sites, each on this same inspection cycle
EPA source →
DATA HANDLING

Your embankment's findings are not our marketing material.

A structural finding at your facility goes to you and your PE of record — full stop. It is never published, benchmarked against other utilities, or repurposed as a case study. Every diagram on this site is synthetic or public-domain, never a client's imagery or facility.

01

No imagery leaves your control

Drone photogrammetry imagery you capture is processed for your report only — never retained for marketing, benchmarking, or shared with any third party.

02

No case studies, ever

We will never ask to feature your facility, your findings, or your name in a sales conversation. What we find at your site is disclosed to you and your engineers — not to our next prospect.

03

Illustrations only, on this site

Every diagram below is a schematic — drawn to explain the method, not to display a real embankment. If you'd like to see the model run on your own imagery, that happens under contract, privately.

FITS YOUR PROGRAM

Slots into the compliance program you already run — doesn't replace it.

Complements, doesn't replace

Your Annual Inspection and 5-year Periodic Assessment stay exactly as they are. This fills the interval between them — it isn't a substitute inspection.

Routed to your PE of record

Findings go to the engineer responsible for your facility — never acted on autonomously, never surfaced to anyone outside your team.

Audit-ready documentation

Reports export in a form suitable for your CCR compliance file and available for state or EPA review, alongside your existing inspection records.

No new fieldwork to start

Deployed at the pond or unit level using imagery you already have access to or can readily acquire — no new instrumentation required to begin.

THE SOLUTION

Automated analysis, on the cadence you set.

We don't fly drones or capture imagery — you do, on whatever schedule fits your program. Our image-segmentation algorithm automatically analyzes every drone photogrammetry survey you send us, detecting and tracking tension cracks as an early-warning signal for slope failure and erosion. It's a supplement to your inspection program, not a replacement for the PE judgment it's built to support.

SCHEMATIC ILLUSTRATION · NOT A REAL SITE
feature · illustrative confidence value
Illustrative diagram of tension-crack detection — drawn schematically, no client or facility imagery shown.
01

Automated analysis

Every survey you capture is analyzed automatically — no manual review of raw imagery required, on the cadence you choose.

02

Early detection

Tension cracks are identified and tracked before they progress to visible failure — when there is still time to act.

03

Decision support

Every finding is advisory — reviewed by qualified engineers who determine the response. Never autonomous action.

MORE DATA, MORE INSIGHT

The same crack tells you more, the more often you survey it.

A single image tells you a crack exists. A well-trained model tells you its size. A history of images tells you where it's headed. All illustrated schematically below — never with a real client image.

DETECTION
STEP 01

A crack is flagged.

The model identifies the presence and rough location of a candidate feature — enough to tell you where to look.

SEGMENTATION4.2 m
STEP 02

Its dimensions are measured.

Higher-fidelity imagery and a more capable model resolve the full extent of the crack — precise length, width, and orientation.

ILLUSTRATIVE EXAMPLE — NOT MEASURED DATA
STEP 03

Its trajectory is forecast.

Tracked across surveys, growth rate becomes a pattern — projected forward, toward an estimated failure threshold.

HOW IT WORKS

From imagery to engineering judgment, in four steps.

STEP 01

Imagery captured — by you

You (or your contracted UAV provider) capture drone photogrammetry imagery on the cadence that fits your program. We don't fly drones or collect imagery ourselves.

STEP 02

Algorithm analyzes

Each survey is automatically segmented for crack formation and progression indicators, processed for your report only.

STEP 03

Findings delivered

Flagged features are delivered to you, confidentially, in a structured report with confidence scoring.

STEP 04

Engineers review

Qualified personnel review the findings and determine the appropriate response.

Built for engineers, not instead of them.

Every output is advisory. Every finding requires qualified human review. BBX augments the engineering judgment it helps apply — it does not act on its own.

RESEARCH FOUNDATION

Published science, not a black box.

Our approach builds on a concept documented in peer-reviewed, publicly available research. BlackBox: 39N's implementation — the model, the training data, and the reporting pipeline — is our own, purpose-built for this surface type, this crack morphology, and this failure mode.

PEER-REVIEWED PUBLICATION
"Topographically Guided UAV for Identifying Tension Cracks Using Image-Based Analytics in Open-Pit Mines"
AUTHORS · G. Winkelmaier, R. Battulwar, M. Khoshdeli, J. Valencia, J. Sattarvand, B. Parvin
JOURNAL · IEEE Transactions on Industrial Electronics, vol. 68, no. 6, pp. 5415–5424
YEAR · 2021 · DOI 10.1109/TIE.2020.2992011
BBX's model, training data, and implementation are independently developed.
Read the publication →
WHAT YOU RECEIVE

A structured report — with your findings, and no one else's.

SAMPLE — CONTENTS REDACTED
OVERALL STATUS
DETECTED FEATURES
ENGINEER SIGN-OFF

This is the shape of what you'll receive — status, findings, and an engineer's sign-off. The content is deliberately blocked out here: your report will contain your data, reviewed by your team, seen by no one else.

SAMPLE REPORT TEMPLATE
See the structure of a report — built with placeholder data only.
View template
CONTACT

If you are responsible for ash pond monitoring, we would like to talk.

We work directly with utility engineering teams, asset integrity groups, and the engineering firms supporting them — not procurement generalists. Available under NDA before any imagery changes hands.

FOUNDER
Garrett Winkelmaier, Ph.D.
DIRECT