Ailee
Vision Intelligence for Non-Woven Bag Quality Control
year
2026
industry
INDUSTRIAL INTELLIGENCE
Client
Araliya Packaging Lanka (Pvt) Ltd

Overview
Araliya Packaging Lanka needed to inspect over 150 bag designs for more than 100 known defect types, at production speeds no manual team could sustain. We built Ailee, an AI-powered defect detection system that inspects up to 4 bags per second using dual industrial cameras and a two-stage deep learning pipeline, sorting defective bags in real time without slowing the line.Ailee brings high-speed optical scanning, automatic defect sorting, flexible pattern recognition, and real-time operator dashboards into one unified system helping packaging manufacturers eliminate manual inspections and protect product standards.
CHALLENGES
Manual inspection couldn't scale with production.
With production lines running past 1 bag per second, Araliya's manual quality process was already stretched thin, and it wasn't going to get easier as the catalog kept growing.
Slow Inspection Rates
Manual inspection took 10–15 seconds per bag, creating a hard bottleneck well below the line's actual output.
Labor-Intensive Process
A dedicated team of 15 staff was needed around the clock, driving up cost and exposing the process to fatigue-based errors.
Design & Defect Variability
Over 150 bag designs and 100+ defect categories, from print misalignment to fabric shading, made consistent manual inspection difficult to sustain.
Unique bag designs in production
100+
Known defect categories
15
Staff required for round-the-clock manual inspection
10–15 sec
Manual inspection time per bag, before Ailee
The Approach





