Human inspectors miss micro-defects
Surface cracks, scratches, and dimensional deviations below 200 microns are invisible to the naked eye especially at line speeds above 600 ppm.
38%
of defects escape final inspection
AI Quality Inspection · Automotive India
Scanflow's AI visual inspection platform detects surface defects, verifies assembly, and syncs with your ERP in real time, on the shop floor. Built for India's automotive OEMs and Tier-1 suppliers.
Defect detection accuracy
Reduction in quality cost
Inference latency
ERP native integration
The Industry Problem
India's automotive sector loses thousands of crores annually to defect escapes, recalls, and rework caused by inconsistent manual inspection that no spreadsheet or checklist can reliably fix.
Surface cracks, scratches, and dimensional deviations below 200 microns are invisible to the naked eye especially at line speeds above 600 ppm.
38%
of defects escape final inspection
A single defective engine component reaching the field triggers recalls costing 100× more than the part plus permanent brand damage.
₹42L+
average cost per recall incident in India
Paper-based or siloed QC systems mean defect data never reaches SAP or Oracle ERP making root cause analysis impossible and audits painful.
74%
of QC records never reach ERP systems
Shift changeovers, fatigue, and lighting variation cause inspection accuracy to drop up to 40% after 4 hours with no audit trail.
40%
drop in inspector accuracy over a shift
Scanflow Capabilities
From surface defect detection to ERP-synced traceability Scanflow replaces guesswork with precision AI at every quality gate, on every line, in every shift.
Detect scratches, cracks, rust, dents, and dimensional deviations on gears, pawls, camshafts, stampings, and castings down to 50 microns at full production speed.
Verify correct component placement, torque sequence, and part presence in real time. Trigger Andon alerts before defective assemblies leave the station.
Operators on the shop floor use industrial Android/iOS devices with the Scanflow SDK for instant barcode scan, OCR label verification, and image-based QC even offline.
Every inspection result automatically updates your ERP production orders, quality notifications, material movements, and audit trails with zero manual entry via REST APIs.
Live KPI dashboards show defect rates by shift, line, part number, and supplier. Track First Pass Yield, DPPM, and warranty trends from a single web interface.
GigE/10GigE cameras connected to NVIDIA RTX 4090/5090-powered inference servers deliver sub-50ms AI analysis per frame inline, at production speed.
How It Works
Scanflow adapts to your shopfloor infrastructure whether you need mobile-first handheld QC, fixed inline camera inspection, or a full ERP connected AI workflow automation suite.
Operators use industrial Android or iOS devices with autofocus cameras and the Scanflow SDK to scan barcodes, read labels, and capture product images directly from the production line — with offline support for unstable network environments.
The mobile app performs on-device image preprocessing, OCR extraction, barcode decoding, and business-rule validation for fast response times, then stores results in encrypted local storage before secure transmission.
Captured data and images are transmitted to the middleware inference server powered by NVIDIA RTX GPU hardware. The server executes real-time AI analysis, defect classification, and structured data extraction.
Inspection results are communicated to SAP, Oracle ERP, or Microsoft Dynamics via REST APIs within the protected enterprise intranet — triggering automatic transaction processing, traceability updates, and audit logging.
Operational status, KPI dashboards, analytics, and quality reports are transmitted back to mobile devices and enterprise dashboards — creating a fully connected, real-time quality ecosystem.
High-resolution GigE/10GigE industrial cameras with appropriate industrial lighting capture product, label, barcode, or inspection area images in real time directly on the production line.
The application and inference server — powered by NVIDIA RTX hardware, ECC RAM, and NVMe SSD — performs image preprocessing, OCR extraction, AI defect detection, and structured result generation.
Results are communicated to SAP or Oracle ERP via HTTPS/TLS encrypted REST APIs — updating transactional records, traceability logs, and audit data in PostgreSQL enterprise databases.
A centralized web dashboard hosted on enterprise servers provides real-time monitoring, analytics, KPI visualization, and reporting to plant managers and quality teams via secure intranet or browser access.
Industrial Android/iOS devices running the Scanflow SDK capture images, barcodes, and label data. On-device preprocessing ensures offline operation and fast local validation.
Enterprise-grade application servers with NVIDIA GPU hardware execute real-time AI inference, intelligent analysis, and structured data extraction at production speeds.
Seamless integration with SAP, Oracle ERP, and Microsoft Dynamics via enterprise connectors. Full traceability, audit logging, and KPI analytics for plant leadership.
What We Detect
Scanflow's AI models are trained on Indian automotive components and local manufacturing conditions not generic Western datasets.
AI computer vision detects cracks, scratches, corrosion, pitting, dents, and surface anomalies on cast components, stampings, gears, camshafts, and engine parts down to 50 microns at full production line speed.
Across automotive OEM and Tier-1 deployments in India, Scanflow consistently delivers measurable quality and cost outcomes.
99.5%
Defect detection accuracy across surface, assembly, and label inspection
60%
Reduction in cost of poor quality within 12 months of deployment
0
Line-stop incidents due to Scanflow AI inspection failures
8–14mo
Typical ROI payback period at Tier-1 automotive suppliers
After deploying Scanflow on our crankshaft inspection line, we eliminated escape defects entirely in the first quarter. The SAP integration meant our quality engineers stopped doing data entry and started doing actual root cause analysis.
Tier-1 Powertrain Components Manufacturer, Pune
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