Application Solutions

Industrial Vision Inspection System

A complete FPGA-based machine vision solution for industrial quality inspection, defect detection, and measurement applications. This solution leverages Gowin Arora FPGAs for real-time image processing with low latency and high reliability.

Real-Time Processing Flexible Algorithm Implementation Cost-Effective Solution

Edge AI Inference Accelerator

A compact, low-power AI acceleration solution for edge devices requiring real-time neural network inference. This solution leverages Gowin Arora FPGAs with dedicated DSP blocks to accelerate convolutional neural networks for image classification, object detection, and other AI workloads at the edge.

High Inference Performance Low Power Edge Deployment Flexible Model Support

Edge AI Vision Solution

Complete edge AI solution combining Gowin FPGAs with optimized neural network accelerators for real-time image processing and object detection.

Real-time Inference Low Power High Accuracy

Frequently Asked Questions

What types of solutions does Gowin offer for industrial applications?

Gowin offers comprehensive FPGA-based solutions for industrial applications including machine vision systems for quality inspection, edge AI accelerators for real-time inference, industrial communication gateways, and motor control systems. These solutions leverage Gowin's low-power FPGAs to deliver high performance with deterministic real-time response. The industrial vision solution provides sub-millimeter measurement accuracy and defect detection capabilities, while the edge AI accelerator enables neural network inference at the edge with low latency. Both solutions are designed for reliable 24/7 operation in harsh industrial environments.

Contact our FAE team to discuss your specific industrial application requirements and receive tailored solution recommendations.

How do I select the right Gowin solution for my application?

Selecting the right Gowin solution involves evaluating your application requirements: For vision applications, consider the Industrial Vision Inspection System which provides real-time image processing, defect detection, and measurement capabilities. For AI workloads, the Edge AI Inference Accelerator offers neural network acceleration with low power consumption. Key factors to consider include processing requirements (logic capacity and DSP resources), interface needs (camera, Ethernet, industrial protocols), power budget, and environmental conditions. Our solutions are built on proven Gowin FPGA platforms and include complete BOM lists, technical specifications, and reference designs to accelerate your development.

Share your application requirements with our FAE team for personalized solution selection guidance and technical consultation.

What support is available for implementing Gowin solutions?

BeiLuo provides comprehensive support for Gowin solution implementation including: Technical consultation to help select the right solution for your application, Reference designs and BOM lists for rapid prototyping, FAE support for design review and optimization, IP cores for standard interfaces and functions, Development kits for algorithm validation, Documentation including user guides and application notes. Our FAE team has extensive experience with Gowin FPGAs and can provide guidance on hardware design, software development, and system integration. We also offer training sessions and workshops to help your engineering team get up to speed quickly.

Can Gowin solutions be customized for specific requirements?

Yes, Gowin solutions can be customized to meet specific application requirements. The FPGA-based architecture provides flexibility to: Modify image processing algorithms for specific inspection criteria, Adjust AI model architectures for target applications, Customize communication protocols for factory integration, Adapt I/O configurations for different sensors and actuators, Optimize power consumption for battery-powered deployments. Our solutions is starting points that can be tailored to your exact needs. The modular design approach allows selective modification of specific functions while maintaining proven components. Contact our FAE team to discuss customization options for your project.

Discuss your customization requirements with our FAE team to determine the best approach for your application.

What is the typical development timeline for Gowin solutions?

Development timelines vary based on solution complexity and customization requirements: Standard solution deployment using reference designs can be completed in 4-8 weeks including hardware adaptation and software integration. Customized solutions with modified algorithms or interfaces typically require 8-16 weeks for development and validation. Complex custom solutions with significant architectural changes may take 16-24 weeks. Timeline phases include: Requirements analysis and solution selection (1-2 weeks), Hardware design and procurement (4-6 weeks), Software development and algorithm implementation (4-8 weeks), System integration and testing (2-4 weeks), Deployment and validation (1-2 weeks). Using our reference designs and IP cores can significantly accelerate development.