AI Inspection Cuts Defect Costs and Boosts Your Bottom Line
In the world of glove manufacturing, precision and speed are everything. That’s why Shine Technology has developed a cutting-edge AI Visual Inspection System for glove defect detection — a game-changing solution that sets a new benchmark for quality assurance in the industry.
All-Angle, Real-Time Glove Defect Detection
Our AI-powered inspection system utilizes advanced artificial intelligence and deep learning algorithms to perform real-time, 360-degree inspections on gloves during movement. It accurately identifies defects in the fingers, palm, and wrist areas — including oil stains, dirt spots, holes, and tears — and automatically removes defective items from the production line.
Detection Coverage Includes:
- Oil stains
- Dirt and discoloration
- Holes and ruptures
- Structural damage
Why Choose Shine?
Comprehensive Detection Strategy
Our solution offers full-phase inspection: pre-stripping, during stripping, and semi-stripped glove detection. With up to 7 high-resolution image captures per glove, every angle is covered.
Proprietary AI Algorithm
Since 2019, Shine has been developing proprietary deep learning algorithms, achieving a defect detection accuracy that surpasses industry peers by 4% using the same sample volumes. The system is supported by a robust cloud-based training platform, allowing for custom configuration for each client. With our vast database of glove defect samples, most setups are plug-and-play with no need for retraining.
Centralized Monitoring & Scalability
We offer a mature Central Control Room (CCR) implementation, ensuring stability and seamless operation. The system is scalable for future functionality expansions.
Smart Monitoring Features
- Alerts for abnormal glove stripping
- Hand mold management and feedback
- Defect categorization with real-time quantity tracking
- Alarm activation when defect count exceeds threshold
Performance Specifications
Metric | Value |
Defect Coverage Rate | 99% |
Average Inspection Speed | 220 gloves/min |
Serious Defect Miss Rate | ≤ 0.05% (5 in 10,000) |
Minor Defect Miss Rate (AB) | ≤ 0.5% (5 in 1,000) |
False Positive Rate | ≤ 0.5% |
Minimum Detectable Defect Size | ≥ Φ0.5mm |
Compatibility | All glove colors supported |
All benchmarks are based on gloves fully captured and processed by the system. Detection accuracy remains consistent regardless of glove color.
AT SYSTECH SDN BHD: Experts in Robotics & AI-Powered Automation
We engineer custom robotic solutions built for real-world challenges — from precise vision inspection in glove production to intelligent sorting and reliable goods handling. Our systems are designed to improve operational efficiency, ensure consistent quality, and reduce manual workload across demanding processes.
📞 +60 3‑3277 7118
📱 WhatsApp: +60 12‑921 3717
✉️ atsystechsb@atst.com.my
📍 Rawang, Selangor
👉 Click here for a free consultation to discover how AI can revolutionize your production line.
