Driven by the dual imperatives of intelligent manufacturing and domestic substitution, vision inspection platforms must not only "see accurately" but also be "reliable and easy to use." ANWHA is proud to announce the official launch of its Standardized Vision Inspection Platform—a fully self-developed inspection system that is fully compatible with the domestic IT ecosystem and seamlessly integrates traditional algorithms with AI reasoning capabilities. This platform provides a highly reliable and flexible technology foundation for vision inspection on assembly lines.

1. Independent and Self-Controlled, Building a Secure Baseline

The ANWHA Vision Inspection Platform features proprietary code developed entirely in-house. It is fully compatible with mainstream domestic desktop operating systems and domestic CPUs, meeting the comprehensive security requirements for localized software, hardware, and operating systems. The platform requires no reliance on third-party closed-source libraries, ensuring the security and controllability of industrial data processing chains from the ground up. It is particularly well-suited for high-stakes manufacturing scenarios in the new energy and aerospace sectors, where autonomy is paramount.

2. Modular Architecture, Making Vision Inspection Workflows "Drag-and-Use"

Traditional vision projects suffer from lengthy development cycles and low reusability. The ANWHA Vision Inspection Platform revolutionizes this status quo with standardized modular design. Vision operators are encapsulated as independent functional blocks, allowing users to build logical connections through a drag-and-drop graphical interface to assemble inspection workflows adapted to multiple workstations—with absolutely no coding required. All configuration schemes support local saving and one-click loading, slashing changeover times from hours to seconds and significantly enhancing production line flexibility.

3. Multi-Camera Parallel Processing and Multi-Project Management for Complex Production Environments

The system natively supports parallel communication with multiple cameras, enabling simultaneous processing of imaging data from different workstations, with dedicated execution threads built in to ensure real-time performance and stability of inspection tasks. To accommodate multi-variant mixed production, the ANWHA Vision Inspection Platform provides multi-document windows and independent project management capabilities—operators can open multiple product scheme windows simultaneously. When switching products, simply loading the corresponding file instantly restores all module positions, parameters, and logical relationships, enabling seamless changeover across production lines.

4. Deep Integration of AI Reasoning, Lowering the Barrier to Intelligent Applications

The platform features a built-in AI reasoning framework that supports mainstream deep learning models for object detection and image classification. Users can load local model files through a visual pop-up interface without writing any inference code, and intuitively adjust key parameters such as confidence thresholds. With traditional algorithms and AI capabilities deeply integrated, the platform can handle both routine tasks like dimensional measurement and positioning, while also precisely addressing intelligent classification and localization of complex texture defects.

5. Intuitive Interface Balancing Usability and Scalability

The interface of the Vision Inspection Platform is designed with industrial site operating habits in mind, featuring a clear layout and unambiguous feedback that enables even novice engineers to get started quickly. At the same time, the platform supports independent upgrades and optimization of algorithmic functional modules without the need for overall system restructuring—preserving customers' prior investments while continuously accommodating future inspection requirements.

The ANWHA Vision Inspection Platform is far more than just inspection software; it represents ANWHA's in-depth commitment to "standardization, intelligence, and localization" in the industrial vision field. It deconstructs complex requirements through modularization, expands inspection boundaries with AI, and safeguards data security with a domestic IT foundation. In terms of inspection efficiency and precision stability, this platform has already been validated in real-world operating conditions across multiple lithium battery and aerospace manufacturing scenarios, consistently delivering quality improvements and efficiency gains for our customers.