Missing labels on the line created scrap and return cost. The customer asked for a conveyor label presence camera setup with automatic reject; operator eye checks were no longer enough as speed increased and end-of-shift miss rates rose.
In short: a measurable check where the camera decision reaches reject through a PCB. A similar field-monitoring discipline appears in our GSM-based cold chain warehouse monitoring panel.
Revan Technology combined camera trigger and decision outputs on one PCB/I/O design. The vision rule stayed simple: is the label ROI filled or empty; result is reject or green pass. The goal is reliable presence/absence—not an oversized classifier.
This conveyor label presence camera approach treats optics and the embedded board as one package—not “plug the camera into a PC” as a separate job.
Camera trigger input, lighting driver, and reject output were gathered on one board. Optocoupled I/O was preferred in a noisy plant. Supply and grounding were filtered for VFD noise beside the conveyor.
The ROI was fixed on the label zone. Threshold and minimum-area filters cut glare-driven false alarms. Lighting angle was calibrated on-site for glossy film and metal floors; the lab threshold was not left unchanged.
Shift miss/reject counters are readable from a local HMI or web panel; calibration parameters are limited to authorized users. Decision latency was set to the mechanical reject timing. For industrial vision foundations see also machine vision.
The conveyor label presence camera model is a practical Revan Technology way to put vision on the line without oversized AI promises.
This project is described without customer or product names for confidentiality. Images are representative and show the functional architecture.
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