Scanflow

Scanflow

Scanflow QC and Asset ID Simplified
#92166380 followers2 following
#68,795Last year
1 KP

About

Scanflow is an AI-enabled visual intelligence platform built for industrial enterprises. It automates quality inspection, asset identification, and workplace safety using cameras and smart devices already on the shop floor. Scanflow detects defects on production lines, identifies and tracks tyres, VINs, containers, and IT assets with full traceability, and monitors PPE compliance and safety violations in real time. It deploys in days with low-code configuration, integrates with any ERP system, and runs fully on-device online or offline. Built on AI models trained specifically on industrial visual data. Not repurposed consumer AI. A GenAI accelerator product of OptiSol Business Solutions.

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Maker History

Forums

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7mo ago

Scanflow - Tire Sidewall Scanner SDK - Scan Tire Sidewall

Scanflow Tire Sidewall SDK is an AI powered tool that reads tire brand, size, TIN and DOT details directly from sidewall. It automates identification, manufacturing age, and produces structured digital records. It integrates easily with mobile apps, cloud or on-prem systems, and ERP platforms, improving accuracy, traceability, and workflow efficiency for manufacturers, distributors, retailers and scrap and recyclers.
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7mo ago

Scanflow - Asset Identification - Asset identification

Scanflow Asset Identification SDK delivers fast AI recognition of barcodes, QR codes, labels, tyre sidewall scanning, container IDs, and printed or engraved text. It enables quick capture, validation, and tracking across manufacturing, logistics, and field work. It runs on mobile, tablet, or edge devices with offline mode, secure data handling, audit logs, and easy integration into ERP or asset systems. Developers can embed capture and AI for reliable, high-volume traceability.
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8mo ago

Scanflow - Visual Inspection - Visual inspection for Quality Control

Scanflow Quality Control SDK uses real-time AI vision to automate defect detection, classification, anomaly detection, and verification. It identifies missing parts, surface flaws, and misalignments while adapting to changing conditions. With multi-camera support, edge or cloud deployment, and easy integration into existing systems, it helps maintain consistent quality and ensures reliable, zero-defect manufacturing across production lines. It also provides reports for smart process improvement.
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