Industry Alert: Needle Fragment Detection Blind Spots Are Devouring Brand Profits – How Argus® Build
When traditional metal detectors fail to detect B-angle foreign objects, a Japanese children's shoe brand recalled 230,000 pairs of products due to 0.5mm needle fragments—this marked the starting point for Argus® Intelligent X-ray Inspection System.
Argus®’s Three Technological Revolutions Targeting Quality Black Holes
1️⃣ Dual-source Quad-angle Perspective Matrix
- Co-developed with Japan’s Precision Machinery Research Institute
- Breaks single-angle detection limits, achieving 100% foreign object detection rate across B/C/D angles
- 0.8mm metal ball auto-marking, exceeding industry precision standards by 50%
2️⃣ 10 Million+ Footwear Foreign Object Knowledge Graph
- The world’s largest AI database dedicated to footwear anomalies
- 99.99% recognition accuracy with self-developed Argus AI algorithms
3️⃣ Flexible Production Line Adaptation System
- 700×310mm ultra-large detection channel compatible with sports shoes, children’s shoes, and snow boots
- 1-second/pair high-speed scanning
- 8 million pairs of data storage enabling 3-second traceability for any production batch
Case Study: A Japanese Footwear Enterprise
*“Previously, we could inspect 12,000 pairs daily. With Argus®, we now achieve:*
✔️ 18,000 pairs/day, a 30% production increase
✔️ 20% reduction in customer complaints
✔️ 83% faster dispute resolution for quality guarantees”*
—Excerpt from the company’s 《2024 Quality Upgrade White Paper》
-Radiation Safety Dual Protection
- Four-layer lead curtain shielding
- Radiation levels <0.25μSv/h (lower than natural environmental background)
- Certified by CE and China’s Triple Radiation Safety Standards
Currently safeguarding:
70% of China’s footwear exports to Japan
📩 Contact Carus Wu: argusphecda@gmail.com
FootwearManufacturing QualityControl AIQualityInspection SupplyChainRiskManagement
Argus®’s Three Technological Revolutions Targeting Quality Black Holes
1️⃣ Dual-source Quad-angle Perspective Matrix
- Co-developed with Japan’s Precision Machinery Research Institute
- Breaks single-angle detection limits, achieving 100% foreign object detection rate across B/C/D angles
- 0.8mm metal ball auto-marking, exceeding industry precision standards by 50%
2️⃣ 10 Million+ Footwear Foreign Object Knowledge Graph
- The world’s largest AI database dedicated to footwear anomalies
- 99.99% recognition accuracy with self-developed Argus AI algorithms
3️⃣ Flexible Production Line Adaptation System
- 700×310mm ultra-large detection channel compatible with sports shoes, children’s shoes, and snow boots
- 1-second/pair high-speed scanning
- 8 million pairs of data storage enabling 3-second traceability for any production batch
Case Study: A Japanese Footwear Enterprise
*“Previously, we could inspect 12,000 pairs daily. With Argus®, we now achieve:*
✔️ 18,000 pairs/day, a 30% production increase
✔️ 20% reduction in customer complaints
✔️ 83% faster dispute resolution for quality guarantees”*
—Excerpt from the company’s 《2024 Quality Upgrade White Paper》
-Radiation Safety Dual Protection
- Four-layer lead curtain shielding
- Radiation levels <0.25μSv/h (lower than natural environmental background)
- Certified by CE and China’s Triple Radiation Safety Standards
Currently safeguarding:
70% of China’s footwear exports to Japan
📩 Contact Carus Wu: argusphecda@gmail.com
FootwearManufacturing QualityControl AIQualityInspection SupplyChainRiskManagement
