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Mobile & AISystem ID: EVR-MOBILE-11•4 min read

Mobile Edge Textile Defect Detection System

Mobile inspection application integrating computer vision to identify textile flaws, tears, and material irregularities in manufacturing.

Primary Impact:On-Device Inspection
Core Stack:FlutterDartEdge VisionMobile App
Mobile Edge Textile Defect Detection System
!The Challenge

Operational Friction & Bottlenecks

Textile manufacturing plants lose hundreds of thousands of dollars each year due to manual inspection oversight of fabric holes, stains, and weave irregularities.

✓The Evaroid.AI Solution

Engineered AI Architecture

A cross-platform Flutter mobile application equipped with an on-device quantized neural network that inspectors point at fabric to highlight defects instantaneously.

System Architecture

Technical Execution & Pipeline Flow

EVR-MOBILE-11 FLOW
1
High-resolution mobile camera feed acquisition with continuous autofocus
2
On-device neural inference scanning surface textures for micro-anomalies
3
Bounding box segmentation highlighting tears, misweaves, and stains
4
Offline local database caching for factory floors with zero internet access
5
Automated batch synchronization and quality control audit export

Measurable Results & Business Impact

97.6%
Defect Detection Accuracy
0ms
Cloud Dependency (100% Offline Edge)
4x
Inspection Speed Increase

Key Capabilities & Features

Works 100% offline with zero cloud latency
Flutter-based cross-platform performance on iOS and Android
Audio and haptic feedback when defect is identified
Automated roll-level defect density reporting

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