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Enterprise Layer Intelligence
Categories/IoT & Connected Hardware/Retrocausal
Retrocausal

Retrocausal

Founded 2019

Track manual manufacturing assembly steps and prevent errors using computer vision

Pricing model

Demo

You can use Retrocausal to guide assembly line workers and catch manual mistakes in real time. The system tracks assembly steps through webcams and industrial cameras, giving audio and visual alerts when an operator misses a step or picks the wrong component. You can also run automated time studies, balance production lines, and evaluate workstation ergonomics using recorded video. It provides cycle-level traceability for audits, integrates with standard manufacturing execution systems, and protects worker privacy by automatically blurring faces.

What Retrocausal does

Record assembly cycles using connected webcams or industrial camerasLabel assembly steps on recorded video to train detection modelsTrigger warning lights or sounds when an assembly step is skippedBlur faces in video feeds to safeguard operator privacyExport time study reports to identify bottlenecks on the lineConnect camera systems to manufacturing execution systems (MES)Identify high-risk ergonomic movements in workstation recordingsStep-by-step assembly tracking using standard webcams and industrial camerasAudible and visual alerts for skipped or incorrect assembly stepsCycle-level video recording and traceability for quality auditsAutomated time studies and production line balancing analyticsErgonomic risk identification and posture analysis from video footageBuilt-in face blurring and region pixelation to maintain worker privacyHardware integrations with light towers, projectors, and barcode scanners

Pricing breakdown

Pricing model: Book a demo

Frequently asked

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Retrocausal, Assembly Copilot, Kaizen Copilot, manufacturing quality, computer vision, assembly line tracking, mistake proofing, poka yoke, digital work instructions, ergonomics assessment, time studies, video traceability, cycle tracking, root cause analysis, industrial engineering, MES integration