Coating & foil defects
Pinholes, scratches, foreign particles, edge burrs, and coating defects on aluminium foil, copper foil, lithium battery electrode sheets, and coating lines.
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.
Pinholes, scratches, foreign particles, edge burrs, and coating defects on aluminium foil, copper foil, lithium battery electrode sheets, and coating lines.
High-speed counting of bottles, batteries, tablets, and packaging parts — including missed-count and double-count prevention.
Capturing abnormal events on high-speed production lines, supporting incident traceability and quality evidence retention.
Pharmaceutical packaging, food packaging, semiconductor materials, and precision manufacturing.
Event camera captures what frame cameras miss. Microsecond-level resolution. >120 dB dynamic range. No motion blur, no dropped frames.
Edge AI applies three-state decision in real time — KEEP / REJECT / DEFER. No forced binary classification.
DataBox locks each event into the evidence chain — timestamp, machine state, and process parameters at that exact moment.
Any defect, any time later, retrievable. 14 months after shipment? Pull the exact second, exact meter, exact machine state, exact operator. In 30 seconds.
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.
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.
Combining material constitutive equations with AI to explain defects in aluminium foil, copper foil, cold rolling, and coating processes.
Detecting production-line drift to prevent models from becoming inaccurate over long-term use.
Few-shot defect recognition that reduces the need for large amounts of labelled customer data.
Procedurally generating defect samples — pinholes, scratches, inclusions, wrinkles, edge burrs, streaks, dust, and glare.
Preparing for future integration between event cameras and neuromorphic hardware.
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.
For supplier conversations, pilot programs, or early-access partnerships, get in touch — we respond personally.