RockCore Technology Co., Ltd.

Mr. KENG WEI LIU, Project Manager, RockCore Technology Co., Ltd.

Core Competencies: AI Vision Integration & Semiconductor/Industrial Equipment Market Development

- Deep Industry Insight: Specialist in the semiconductor equipment value chain, with a proven ability to bridge the gap between AI vision algorithms, FPGA heterogeneous computing, and automated inspection requirements.

- Solution Selling Expert: Expert in delivering highly customized solutions; adept at navigating complex, multi-stakeholder organizational structures and managing long-cycle solution-based sales models.

- Proven Performance: Demonstrated track record of excellence as a Global Top Sales performer, with a unique ability to rapidly translate advanced technology into market share and tangible business growth.

 

 

Topic: 

Accelerating Next-Generation Industrial Equipment with AMD FPGA Heterogeneous Computing: Real-Time Vision, Adaptive AI, and Precision Automation

 

Abstract:

As semiconductor and industrial equipment push toward tighter tolerances and higher throughput, the bottleneck is no longer optical or mechanical—it is the ability to process vast image data in real time. This talk presents how AMD FPGA heterogeneous computing addresses that gap by implementing AI algorithms directly in hardware rather than software. By pairing an AMD CPU (handling the operating system, generative AI, and high-level decisions) with an FPGA that executes core algorithms at the hardware level, the architecture delivers deterministic, microsecond-class response—reducing processing time from tens of milliseconds to as low as 10—while lowering power consumption and protecting proprietary algorithms within the silicon itself. Drawing on real deployments in laser exposure and inspection equipment, the session covers three pillars: real-time machine vision, adaptive AI that requires no lengthy retraining, and precision alignment automation—offering equipment makers a practical path from today's CPU/GPU limits toward next-generation edge intelligence.

 

Key Technologies Covered:

• AMD CPU + FPGA Heterogeneous Computing Architecture
• Real-Time Edge Machine Vision for In-Process Inspection
• HLS-Based Custom IP Development on FPGA