XYLOLABS

Case studies

Examples of field deployment

The industries and signal types changed, but every program followed the same standard from problem framing through operational validation.

Environment & ForestryUltrasonic tree diagnostics

Korea Forest Research Institute

Ultrasonic non-destructive diagnostics for earlier pine wilt disease detection

Duration

Research project

Ultrasonic NDT scan

Diagnostic method

On-site interpretation

Data processing

Portable field unit

Equipment form

Challenge

Early-stage pine wilt shows almost no visible symptoms, so diagnosis often came too late. Existing methods needed specialists and long inspection times, which made them hard to run at scale.

Approach

We built ultrasonic NDT equipment and a field reading interface that tracks changes in ultrasonic propagation inside trunks. Data is captured and read on site, without an external network.

Results

  • Earlier detection via ultrasonic analysis
  • Single on-site scan and read workflow
  • Less dependence on specialists
  • Detection of internal change in visually healthy trees
Logistics & PortCrane wire monitoring

Major Korean port operator (anonymized)

Real-time fatigue and anomaly monitoring for STS crane wires

Duration

Pilot completed

STS cranes

Target equipment

Tension + vibration + acoustic

Signal inputs

Continuous real-time

Collection mode

Challenge

STS crane wires accumulate fatigue fast under repeated heavy loads, but there was almost no real-time visibility beyond scheduled inspections. Unplanned downtime was recurring.

Approach

We added a monitoring layer to the crane safety system that analyzes wire tension, vibration, and acoustic signals together. The control room gets a dashboard that compares status across cranes.

Results

  • Real-time wire status visibility from the control room
  • Data-based tracking of fatigue buildup over time
  • Per-crane comparison on a single dashboard
Security & ControlVoice-based identity verification

Control system integrator (anonymized)

Speaker verification in a high-noise control room

Duration

Pilot completed

Voiceprint + liveness

Auth method

Software-only layer

Deployment

High-noise control center

Environment

Challenge

Control-room noise made conventional voice authentication unreliable, and password-only access was hard to manage across rotating shifts.

Approach

We built a noise-robust speaker feature model, combined it with liveness detection, and integrated it into the control-room login flow. The deployment is software-only, with no PLC changes.

Results

  • Speaker verification that can operate in high-noise conditions
  • Natural integration into the control-room login flow
  • Automatic access-history logging during shift handover