Quality Inspection
Solutions
AI-based quality inspection is the use of computer vision and machine learning to automatically inspect products or packages for defects, errors, or inconsistencies — without human involvement. It replaces manual QC by using cameras and AI algorithms to detect:
Damaged or defective products
Incorrect or missing SKUs
Packaging errors
Missing or unreadable labels/barcodes
Incorrect expiry/manufacture dates
Foreign objects or contamination
This ensures consistent quality, faster throughput, and traceability in manufacturing and warehousing.

Our Solution
Enlightened Machines has developed a fully autonomous AI-powered inspection system that uses smart vision algorithms on mobile robots or fixed stations — eliminating the need for manual inspection.
Our system uses trained AI models to:
Read expiry/manufacture dates (even with smudged or low-contrast printing)
Recognize product shapes, logos, packaging types
Detect dents, tears, open flaps, leakage
Identify wrong items placed in wrong boxes or bins
Our training is fast and uses only 2-3 images of the highest quality reference
Mounted on EnMac robots, it inspects packages on the move
Can also be placed over conveyor belts or packing stations for high-speed inline QC
Ours is the only model which works even under varying lighting conditions
Flags anomalies instantly and:
Diverts defective items to reject zones
Alerts supervisors via dashboard
Updates the ERP or MES with inspection logs
Our AI models continuously learn from edge cases and new defects
Key Benefits
✅ 100% hands-free inspection
✅ Reduces returns and customer complaints
✅ 10x faster than manual QC
✅ Works in low-light, cluttered, or dusty environments
✅ Creates full inspection logs for compliance and audits
✅ Scalable across production lines or fulfillment zones