Technology Engineered for Safer Environments
The AI X-ray baggage scanner uses advanced material discrimination to determine the effective atomic number of scanned items. As a result, operators can quickly distinguish between organic, inorganic, and mixed substances.
By leveraging dual-energy X-ray spectroscopy, the system converts complex data into clear visual intelligence. In addition, objects appear in three or six colors, which improves clarity and depth.
This color mapping allows immediate separation between harmless belongings and potential threats, such as explosives, narcotics, or shielded weapons. Therefore, human error is reduced while checkpoint throughput increases.
The AI X-ray baggage scanner powered by Retina 2.0 delivers clearer and more detailed images for security inspection. In addition, a new generation of processing technology sharpens visibility in real time.
Advanced algorithms enhance contrast, edge definition, and material penetration. As a result, operators can identify concealed threats, low-density objects, and complex overlaps with greater precision.
This improvement supports faster decisions and smoother workflows. Therefore, fatigue is reduced while screening accuracy remains high in demanding environments.
The AI X-ray baggage scanner integrates proprietary deep learning with advanced image analysis. As a result, the system automatically identifies and classifies scanned items with high precision.
By learning from large and continuously expanding datasets, the platform distinguishes between materials, shapes, and threat categories. In addition, it reduces false alarms while improving detection speed.
This fusion of AI-driven analytics and high-resolution imaging supports faster and more informed decisions. Therefore, operators maintain consistent and reliable screening performance, even in high-traffic environments.
Pistols
revolvers
Magazine
Bullets
Flick & Flexed Bladed
Kitchen Tools
Lithium-Ion Batteries
Cameras/Cell Phone/USB
The AI X-ray baggage scanner from Tuwaiq Technology is engineered to analyze raw scan data directly. As a result, the system avoids the limitations of conventional image-based inspection.
This method enables faster processing and greater detection precision. Moreover, it delivers consistent performance across a wide range of security environments.
By using continuously refined machine learning models, the platform adapts to new risks. Therefore, it can identify an expanding spectrum of threats with exceptional reliability.
Seamlessly connect to HCP systems over the network to manage and analyze security inspection data in real time.
Enables synchronized playback of X-ray images alongside recorded tunnel camera footage, allowing for accurate post-event review and investigation.
Provides clear alerts to operators upon detection of prohibited or suspicious items, enhancing responsiveness and accuracy.
Supports real-time monitoring of operator behavior, detecting actions such as smoking, phone usage, inattention, or guarding status, to ensure operational compliance and vigilance.
Supports real-time monitoring of operator behavior, detecting actions such as smoking, phone usage, inattention, or guarding status, to ensure operational compliance and vigilance.
Locally stores X-ray images, video footage, and alarm logs for easy review, backup, and traceability of security events.
Links each X-ray image with a corresponding real-time photo of the baggage from the tunnel camera for improved traceability.
Open AI architecture allows users to import and deploy custom intelligent models for site-specific recognition needs, enhancing adaptability and performance.
Ready to Secure Your Facility? Contact us today for a technical consultation or a demo at Intersec Saudi Arabia 2026.