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Industrial vision · Research preview

MotionEye

Event-based industrial vision module.

MotionEye is an event-based industrial vision module that detects tiny defects and abnormal events on high-speed production lines — and works with Zoplis DataBox to turn every critical event into traceable, audit-ready evidence.

Designed for aluminium foil, copper foil, lithium battery coating, precision manufacturing, and high-speed counting applications.

Research preview · GA Q1 2027
MotionEye event-based industrial vision module
Application areas

Where MotionEye fits.

01

Coating & foil defects

Pinholes, scratches, foreign particles, edge burrs, and coating defects on aluminium foil, copper foil, lithium battery electrode sheets, and coating lines.

02

High-speed counting

High-speed counting of bottles, batteries, tablets, and packaging parts — including missed-count and double-count prevention.

03

Event traceability

Capturing abnormal events on high-speed production lines, supporting incident traceability and quality evidence retention.

04

Future expansion

Pharmaceutical packaging, food packaging, semiconductor materials, and precision manufacturing.

How MotionEye works

See, classify, lock, trace.

  1. 01

    See

    Event camera captures what frame cameras miss. Microsecond-level resolution. >120 dB dynamic range. No motion blur, no dropped frames.

  2. 02

    Classify

    Edge AI applies three-state decision in real time — KEEP / REJECT / DEFER. No forced binary classification.

  3. 03

    Lock

    DataBox locks each event into the evidence chain — timestamp, machine state, and process parameters at that exact moment.

  4. 04

    Trace

    Any defect, any time later, retrievable. 14 months after shipment? Pull the exact second, exact meter, exact machine state, exact operator. In 30 seconds.

How it works with DataBox

MotionEye sees + DataBox records

MotionEye captures the event — pinholes, scratches, coating defects, counting errors. DataBox provides the audit trail — timestamps, machine status, sensor data, alarm records, hash signatures, trusted timestamps, audit reports. The customer knows not only that something went wrong, but when, where, under what conditions, and how to verify it later.

Technology directions

Five engineering tracks under v1.1.0.

MotionEye is not a packaged off-the-shelf camera. It is a vision module engineered for the specific physics, optics, and data demands of high-speed industrial inspection.

Physics AI

Combining material constitutive equations with AI to explain defects in aluminium foil, copper foil, cold rolling, and coating processes.

Online Learning

Detecting production-line drift to prevent models from becoming inaccurate over long-term use.

Equivariant CNN

Few-shot defect recognition that reduces the need for large amounts of labelled customer data.

Synthetic Defects

Procedurally generating defect samples — pinholes, scratches, inclusions, wrinkles, edge burrs, streaks, dust, and glare.

Spiking / Event Processing

Preparing for future integration between event cameras and neuromorphic hardware.

Release status

Now in research release. Full launch Q1 2027.

MotionEye v1.1.0 is currently a research release. The next stage will be pilot tests on real production lines, validating detection rate, false-alarm rate, system stability, and reporting capability. Full commercial release is planned for Q1 2027.

Current version
v1.1.0
GA target
2027 Q1
Next stage
Pilot tests

Talk to us about MotionEye.

For supplier conversations, pilot programs, or early-access partnerships, get in touch — we respond personally.