Mobil Bottle & Label Inspection
Operator-facing visual QA application for product identification, label integrity checks, batch inspection, OCR watermark analysis, configurable markers, and genuine-versus-counterfeit review.
Workflow at a glance
Provide product images
Use an operator-facing inspection interface.
Inspect product and label
Evaluate product appearance and label regions.
Check image evidence
Review OCR and configured quality cues.
Operator review
Record inspection results for assessment.
Project facts & reported results
Implementation fact
Implementation fact
Implementation fact
Project Overview
Problem Statement
Packaging QA requires consistent checks across products and batches while preserving inspection evidence and allowing operators to review uncertain cases.
Approach & Methodology
Built a Streamlit inspection interface for product identification and label review. Image-processing checks, OCR watermark cues, and configurable markers support operator comparison across individual or batch images.
Outcome & Scope
Delivered a Streamlit workflow that combines object detection, classical image processing, OCR, batch upload, and inspection logs.
Technical Challenges & Solutions
Variable label appearance
Lighting, positioning, and packaging differences affect comparison.
Combine configurable markers, geometric checks, and OCR cues with operator review.
Making results inspectable
A classification alone does not explain a label issue.
Present the relevant image evidence and retain inspection logs.
System Architecture
Operator-assisted visual inspection rather than a claimed line-speed benchmark.
Key Components:
Accept product images and operator settings.
Identify product and label regions.
Evaluate configured image-processing and OCR checks.
Present evidence for operator assessment and record results.
Key Features & Capabilities
Operator-facing product inspection
Single-image and batch review
Product identification and label-region checks
OCR watermark and geometric quality cues
Configurable inspection markers and review logs
Current Scope & Limitations
No production-line throughput or automated authenticity guarantee is claimed.
Inspection settings and image conditions require product-specific evaluation.