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Product description β
This article provides an overview of Konica Minoltaβs FORXAI Mirror functionalities.
Overview β
The FORXAI Mirror Outdoor and standard variants function as workflow-support devices for access-control environments, designed to analyse personal protective equipment (PPE) and optionally trigger actions using a 13.56 MHz RFID reader. The unit incorporates an Axiomtek AIE900A-AO edge-AI computer powered by the NVIDIA Jetson AGX Orin platform for on-device image processing, a MOBOTIX MX-S74A camera for high-resolution visual input, a Samsung 1 TB NVMe SSD for local data storage, and a 46-inch AUO LCD panel for output. Digital communication components include an Intel AX210 or AX200 Wi-Fi module and an optional LAN port to support integration with external databases or access-control systems. All camera and RFID-trigger data are processed locally within the device.
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The FORXAI Mirror assists in detecting PPE compliance and offers advisory feedback. Final decisions regarding access or compliance should always be made by a qualified individual.

Key features β
Machine Learning Technology β
FORXAI Mirror's camera system employs machine learning algorithms to analyze workers' PPE compliance in real time, detecting and identifying various protective gear items with precision.
Visual Feedback Interface β
FORXAI Mirror provides clear visual feedback on a screen, indicating whether PPE is being worn correctly. This straightforward interface eliminates the need for complex interactions, ensuring ease of use for all users.
Immediate Feedback β
When discrepancies are detected, FORXAI Mirror provides feedback on the screen, prompting users to take corrective action.
Customizable Settings β
Administrators can customize compliance settings to align with specific safety requirements.
Data Reporting β
FORXAI Mirror captures and stores detailed data on PPE compliance, generating reports that include timestamps, images, and metadata. These reports offer valuable insights for regulatory compliance and performance analysis.
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This system processes images to detect PPE compliance without identifying individuals. All data handling complies with GDPR standards.