Capabilities
Browse by what you need to see, not by industry
Four patterns turn up across every HSCAM deployment so far. Each one is demonstrated, not just claimed — follow it through to where it was actually proven.
A continuous process, watched around the clock
The process never stops, so there is no good moment to point a camera at it — every cut, cycle or pass has to be caught, not just the ones you happen to be watching for.
STREAMER cameras run 24/7 over standard USB3.0, compressing in the camera so continuous capture stays within reach of standard storage.
See it demonstrated →A fault found hours or days later, traced back to the moment it happened
The defect surfaces downstream — in quality control, in the next process step, or in a customer complaint — long after the event itself. By then the moment is gone unless it was recorded.
A week or more of history is kept and reviewable in slow motion, so a defect found later can be traced back to the exact cut or cycle that caused it.
See it demonstrated →Size, speed, acceleration — measured, not estimated
Knowing a workpiece moved "too fast" or "out of tolerance" isn’t enough — the measurement has to be tied to the exact video frame it happened on, or it can’t be trusted.
Image and measurement data are captured on the same camera clock, so a workpiece’s position, speed or acceleration lines up exactly with what the video shows.
See it demonstrated →Sorting good parts from bad, automatically
Telling a good part from a defective one at production speed is a judgement call today — one that doesn’t scale to every part, every shift.
High-contrast, consistently framed captures are what an AI inspection model needs to learn the difference — HSCAM cameras generate that training data and, with NANO, can close the loop with a real-time correction.
See it demonstrated →Prefer to browse by industry?