Product Introduction

AI visual defect detection

Ruihui Intelligent Detection System is an industrial-grade online detection platform that integrates artificial intelligence and advanced vision technology. The system adopts an innovative "platform-side client" distributed architecture, which aims to provide manufacturing enterprises with an integrated quality solution from defect identification, process monitoring to data closed-loop.

the system transforms the "hard" rules of traditional visual inspection into the "soft" intelligence of AI models, and greatly reduces the deployment threshold and maintenance cost of AI visual applications through platform configuration, helping enterprises to realize digital and intelligent upgrading of production processes.

Product Positioning

An Industrial-Grade Online Inspection Platform Integrating AI and Advanced Vision Technology

Adopting an innovative "Platform + Client" distributed architecture, it transforms the "hard" rules of traditional vision inspection into the "soft" intelligence of AI models, providing an integrated quality solution from defect recognition and process monitoring to data closed-loop.

Industry Positioning

Targeted at discrete manufacturing industries such as machining, automotive parts, electronics, semiconductors, and custom furniture, the platform is precisely adapted to complex scenarios including appearance defect detection, feature point process quality inspection, counting statistics, OCR, and 1D/2D code recognition. It bridges the digital gap caused by the poor adaptability and insufficient algorithm generalization of traditional vision inspection, empowering enterprises to achieve digital and intelligent upgrades in their production processes.

Functional Positioning

The platform side supports both standard and flexible inspection modes, adapting to comprehensive inspection of multi-faceted geometric workpieces with fixed or free orientations. The client side provides process flow inspection and multi-phase inspection, offering real-time flow prompts and multi-grid displays for multi-faceted workpiece results. It features self-developed multi-phase and multi-process recognition algorithms, integrates mainstream algorithms like object detection, instance segmentation, and OCR, and is equipped with an auto-annotation software co-developed with Zhejiang University, supporting one-click dataset splitting, AI inference evaluation, and model export.

Value Positioning

The solution significantly lowers the deployment threshold and maintenance costs of AI vision applications, offering full-process services including software/hardware solution evaluation, training platforms, and basic knowledge training. Through a model management library and an auto-training annotation assistant, it empowers users to independently manage AI models, eliminating dependence on the original vendor's team. It achieves deep integration of inspection results with MES systems, supporting visual traceability and process data feedback to form a closed-loop fusion of AI and production digitization, continuously driving process optimization.

Core Product Value

AI-Powered Visual Inspection: Ensuring No Defect Goes Unnoticed

Focusing on end-to-end services, independent model management, multi-algorithm fusion, and data closed-loop traceability to precisely address the pain points of traditional inspection systems, such as integration nightmares and data silos.

(1) End-to-End Service & Independent Model Management: Lowering the Barrier to Entry

We provide comprehensive support, from software/hardware solution evaluation and deployment to training platforms and fundamental knowledge workshops. This prevents customers from becoming "integrators" who must coordinate multiple resources on their own. Our model management library and the auto-annotation software, co-developed with Zhejiang University, support one-click dataset splitting, AI inference evaluation, and model export (RKNN/ONNX). This boosts annotation efficiency by over 70%, empowering users to quickly master deep learning and independently train & deploy AI models for both existing and new products. This eliminates dependence on the vendor's team and reduces iteration costs.

(2) Multi-Algorithm Fusion & Self-Developed Recognition Engine: Tackling Complex Industrial Scenarios

By integrating mainstream algorithms such as object detection, instance segmentation, and OCR, we cover the vast majority of industrial visual inspection scenarios. Our self-developed multi-phase recognition algorithm offers flexible, platform-based configuration to precisely address defects on irregular, multi-faceted, and complex materials. The self-developed multi-process recognition algorithm supports free configuration to meet the quality inspection demands of multi-step, highly complex product processes. This breaks the limitations of traditional AI solutions' poor generalization ability, connects multiple inspection points into a complete quality chain, and eliminates "inspection islands".

(3) Data Persistence & Deep MES Integration: Achieving a Digital Closed Loop

Inspection results are stored in the MES system in real-time, supporting visual traceability. This thorough breaks the "data silo"dilemma caused by dormant data and its disconnection from production management. Automatically generated process data is fed back to create a closed-loop fusion of AI and production digitization, providing solid data support for process improvement. We offer an integrated solution from inspection result persistence and visual traceability to process data feedback, helping enterprises deeply integrate quality data with their digital thread and quickly locate the source of problems in case of customer complaints.

(4) Full-Scenario Coverage & High-Precision Detection: Guaranteeing Zero-Defect Quality

We precisely cover core scenarios such as appearance defect detection (scratches, stains, deformations), feature point process quality inspection (missing/wrong assembly, assembly sufficiency), counting statistics, OCR text recognition (printed text, stamped characters), and 1D/2D code recognition. In real-world cases involving automotive parts, military electrode sheets, precision tools, safety component assembly, and security inspection, we have achieved zero critical defect, with a false alarm rate controlled below 0.3%, OCR recognition accuracy exceeding 99.9%, and an assembly correctness rate improved to 98%. This fundamentally eliminates quality and safety risks while enhancing the automation level of warehousing, logistics, and manufacturing.

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Online Consultation 400-7160-976

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