Vecow RCX-3000 PEG, equipped with Intel CPU and NVIDIA graphics cards, is highlighted as a high-performance workstation suitable for machine-vision applications in semiconductor manufacturing. The RCX-3000 PEG workstation boasts several technical features that make it well-suited for machine-vision applications in semiconductor manufacturing: ✅High-Performance Components: Equipped with an Intel Core i9/i7 processor and NVIDIA’s GeForce RTX 40 series graphics cards, providing significant processing power necessary for handling machine-vision tasks efficiently. ✅Flexible Expansion Options: The workstation supports up to seven expansion slots, accommodating PCIe 4.0 x16/PCIe 4.0 x8 for NVIDIA graphic cards, as well as PCIe x4 slots for USB/10G/PoE+ expansion cards. This flexibility allows for seamless integration with various hardware components required in machine-vision setups. ✅Versatile Connectivity: With four DisplayPort connections for 4K resolution and a USB 3.2 Gen 2x2 Type C port offering a maximum speed of 20 Gbits/s, the workstation ensures high-resolution display output and fast data transfer, maximizing operational efficiency. Power Supply Compatibility: The RCX-3000 PEG workstation features a flexible input power design operating from 16 to 50 Vdc or 220 Vac, ensuring compatibility with diverse power sources commonly found in industrial settings. ✅Industrial-Grade Reliability: Designed as an industrial-grade PC (IPC), the workstation prioritizes reliability, stability, and longevity, essential qualities for sustained operation in demanding manufacturing environments. Overall, the technical specifications of the RCX-3000 PEG workstation align with the requirements of machine-vision applications in semiconductor manufacturing, offering the processing power, expansion capabilities, connectivity options, and reliability necessary to support efficient and accurate inspection processes.

The complexity of semiconductor manufacturing, including factors such as miniaturization, precision, cleanroom requirements, multi-step processes, advanced materials, quality control, and testing procedures. With the evolving technology, semiconductor manufacturing faces challenges such as new material applications, changing process requirements, and the unstable post-COVID supply chain. Cost pressures remain a burden for semiconductor manufacturers, necessitating the adoption of up-to-date manufacturing equipment despite the high costs involved. Machine vision technology can assist in semiconductor manufacturing by providing automated inspection, quality control, and process optimization, including defect detection and classification, and automated optical inspection. Vecow's RCX-3000 PEG workstation, equipped with Intel CPU and NVIDIA graphics cards, is highlighted as a high-performance workstation suitable for machine-vision applications in semiconductor manufacturing.