Contact
QR code for the current URL

Story Box-ID: 1280938

Advanced Microwave Engineering Srl Via Lucca 44 50142 Florenz, Italy http://www.ameol.it/
Contact Ms Alessia Marchica
Company logo of Advanced Microwave Engineering Srl
Advanced Microwave Engineering Srl

AI-Powered, Integrated Anti-Collision Safety: A Revolutionary Approach to Warehouse and Industrial Plant Protection

AME at LogiMAT 2026 – Hall 10 / Booth 10C77

(PresseBox) (Florenz, )
 

Hall 10 / Booth 10C77

At LogiMAT 2026, AME presents a revolutionary, AI-powered anti-collision safety system that redefines protection standards in warehouses and industrial plants. By integrating tag-based technology and AI camera-based systems into a single, intelligent platform, AME delivers a comprehensive safety solution designed to cover every operational scenario and elevate workplace safety to an entirely new level.

One Integrated System for Total Safety Coverage.

Traditional safety solutions often address only specific risks. AME’s integrated approach combines wearable tag-based detection for personnel and AI-powered camera-based detection for untagged individuals, visitors, contractors, and unexpected obstacles. This dual-layer system ensures complete coverage, protecting both internal staff equipped with tags and external personnel who do not wear any devices.

By merging these technologies, the system eliminates blind spots and creates a safer working environment around forklifts, automated vehicles, and material handling operations—wherever human-machine interaction occurs.

AI-Driven Anti-Collision and Near-Miss Detection System

Beyond collision prevention, AME’s solution leverages artificial intelligence to detect near-miss events—critical indicators of potential future accidents. These events are automatically recorded and analyzed, providing early warnings of unsafe conditions before incidents occur. All detected events and operational data are securely transmitted to the cloud, where they are transformed into actionable insights.

From Raw Data to Strategic Safety Intelligence

Collected data is converted into meaningful information for HSE managers, logistics managers, operations teams, and key stakeholders. The platform highlights:

High-risk areas within the facility
Recurrent hazardous situations
Forklifts and operators involved in near-miss events
Behavioral and operational patterns linked to safety risks

This enables organizations to move from subjective assessments to objective, data-driven safety decisions.

Multi-Plant, Multi-Country Visibility with Unified KPIs

AME’s cloud-based architecture allows safety performance to be monitored not only within a single plant, but across multiple sites in different countries. Corporate safety and operations directors can compare standardized KPIs between plants, identify best practices, and implement targeted improvements globally.

This unified visibility empowers decision-makers to harmonize safety strategies, optimize operations, and continuously improve performance across the entire organization.

Experience the Future of Industrial Safety at LogiMAT 2026

With its integrated tag-based and AI camera-based anti-collision system, AME sets a new benchmark for industrial safety—combining prevention, intelligence, and strategic insight into one powerful solution.

Visit AME at LogiMAT 2026 – Hall 10 / Booth 10C77 to discover how AI-driven, integrated safety can transform your warehouse and industrial operations.

Website Promotion

Website Promotion
The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.
Important note:

Systematic data storage as well as the use of even parts of this database are only permitted with the written consent of unn | UNITED NEWS NETWORK GmbH.

unn | UNITED NEWS NETWORK GmbH 2002–2026, All rights reserved

The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.