Control Devices For Conveyors TRIZ Cases

A spaced conveyor gap lets broken blister products fall through while intact pieces keep moving, improving separation without complex inspection.

Barcode, image, and weight sensing identify and sort products in parallel to cut unmanned store checkout delays and labor needs.

Combining barcode scans, product images, and weight checks, this unmanned checkout conveyor cuts waiting time while improving item recognition accuracy.

A guided sliding path and controlled stoppers move tubes between conveyors with accurate positioning, less damage, and reduced solution loss.

A hybrid position-velocity-current control scheme improves vessel mover accuracy and smooth motion while reducing liquid spills in liquid handlers.

Automated checkout combines partitioned transfer, barcode and image scanning, weight sensing, and AI to cut waiting time in unmanned stores.

Guided product feeding, weight sensing, and AI barcode-image recognition improve unmanned store checkout speed and item accuracy.

Automatic roller detection lets one controller match analog or digital drive rollers and 24V or 48V power without manual reprogramming.

Modular wheeled storage units reconfigure into compact rows, cutting operator travel time while expanding tote capacity in fulfilment workspaces.

A rotating grip and selectively disabled sensors let overhead conveying vehicles access load ports from more directions without false obstacle detection.

Spring-biased puck fingers, optical sensing, and carriage transfer automate sample receptacle delivery between lab instruments with fewer errors.

Acceleration-based regression modeling estimates vibratory conveyor load and feed rate despite oscillation, enabling overload and underload detection.

Vertical and lateral carrier transfer extends oven dwell time without slowing throughput, using stacked buffering and controlled alignment.