The X-Ray Intelligent Defect Detection System leverages advanced AI technology and the proprietary AI-XSP imaging algorithm to deliver highly accurate and adaptive detection of foreign contaminants, including metal, glass, stone, plastic, bone fragments, and other small impurities. The system helps manufacturers enhance product quality, improve production efficiency, and strengthen quality control processes.
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Equipped with a dual-energy detection module, the system simultaneously analyzes high-energy and low-energy X-rays to obtain inspection images from two energy spectrums. Combined with a Dual-Energy Fusion Algorithm, it enables material discrimination and achieves both density-based and material-based inspection. This significantly enhances the detection capability for foreign objects with densities similar to those of the inspected products. In addition, dual-energy technology can distinguish different material compositions, allowing highly sensitive detection of contaminants even in overlapping or stacked products.
Powered by advanced deep learning technology, the system is built upon an industry-specific foundation model trained on massive datasets, providing strong baseline recognition capabilities. Leveraging the power of large-scale AI models and few-shot learning, it delivers outstanding detection performance with minimal training samples, enabling rapid deployment, high detection accuracy, and strong adaptability across diverse application scenarios.
The newly developed Raytina Image Enhancement Engine integrates multiple patented image enhancement algorithms, enabling high-contrast and fine-detail image analysis across various application scenarios. It significantly improves foreign object detection rates while reducing false alarm rates.
The software interface is intuitive and easy to use, featuring a user-centric design. Device parameters are pre-configured, and the guided setup process simplifies deployment. With a low learning curve and minimal training requirements, operators can quickly become proficient. Multi-level permission management helps prevent operational errors.
Equipped with a dual-circulation heat dissipation system, intelligent moisture protection, and core component protection, the system can operate reliably in a wide range of temperature environments. The entire machine is rated IP66 for dust and water protection. Built with premium-brand components and a dual-redundancy system architecture, it ensures stable and continuous operation. Radiation leakage is controlled to less than 1 μSv/h, meeting stringent radiation safety requirements. Food-grade contact materials are used throughout the system, providing comprehensive safety protection and ensuring product quality and consumer health.
The product is backed by a comprehensive quality management system, professional certifications, and a robust supply chain. It complies with the requirements of FDA, CE, HACCP, and GMP standards.
Supports multiple training methods, including the online AI open platform, edge devices, and high-performance computers. With only a small number of training samples, the system can automatically generate models tailored to different application scenarios, enabling rapid expansion to new product categories while delivering excellent detection accuracy and broad application adaptability.
| Structure | |
|---|---|
| Tunnel Width | 400mm |
| Tunnel Height | 160mm |
| Overall Dimensions | 2042(H)*1308(L)*1056(W) Including signal light height |
| Net Weight | 500kg |
| Housing Material | Stainless Steel (SUS304) |
A Food X-ray Inspection system uses X-ray imaging to inspect the internal contents of packaged or unpackaged food without damaging the product. Powered by Hikvision Guanlan Large-Scale AI Models, the system analyzes X-ray images and compares them with trained AI models to automatically detect foreign objects, product defects, and other quality issues. This helps manufacturers improve food safety, product quality, and inspection efficiency.
