Success Cases

Across semiconductors, LED, automotive glass, medical imaging, publishing and telecom, these projects show how PyTensor solves real-world problems with AI.

Portfolio

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Industrial

Semiconductor Defect Detection

Semiconductor component defect detection for a domestic AOI product, exceeding the 98.0% industry-standard accuracy and covering multiple defect types.

Industrial Foxconn

LED Frame Defect Detection

LED material inspection for a Foxconn subsidiary, achieving under 0.03% false-kill and 0.01% escape rates while cutting labor cost by 75%.

Industrial

Applicator Adhesive Calibration

Automatically detects adhesive build-up on spray heads and cleans them, preventing waste and removing manual cleaning time.

Industrial

Automotive Glass Defect Detection

For a Shenzhen plant, rapidly inspecting points, breaks and cracks on large automotive glass at over 30000×30000 resolution.

Medical 長庚大學醫學院

Scoliosis Detection

With Chang Gung University College of Medicine, X-ray image analysis shortens diagnosis time and reduces human error.

NLP 深智出版

Simplified–Traditional Translation

Simplified–Traditional translation for DeepWisdom Publishing, outperforming Google Translate and Microsoft Bing.

NLP 深智出版

Bookstore Review Sentiment Analysis

Analyzes online-bookstore readers’ tone and wishlists to capture demand, achieving over 150% repurchase rate.

Training 中華電信

Chunghwa Telecom AI Training

Internal AI training for Chunghwa Telecom using PyTorch as the course language, including hackathon AI training for university students.

PyTensor

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