"ArU-cana" is a misdelivery prevention system that streamlines inspection work by reading "ArU-codes" with a smartphone. ■ Reading Performance Simultaneous reading of multiple ArU-codes Batch recognition of about 20 packages in 0.3 to 1 second Capable of reading from a distance Capable of reading from an angled position Supports reading while in motion ■ System Configuration Scanning devices: Smart devices such as iPhone / iPad Management devices: PC (using a browser) Cloud server Can be integrated with higher-level systems (such as WMS) ■ Implementation Conditions No need for a dedicated reader Can be used with general smartphones and tablets Operation can start simply by adding ArU-codes to the label layout Integration with WMS is possible

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ArU-cana | WAM System Design Co., Ltd.

**Strengths of Implementation** - Achieve early ROI with low initial investment No need for expensive RFID or dedicated readers. A system for simultaneous long-distance recognition can be established immediately using only commercially available monochrome printers and handheld smartphones, dramatically reducing implementation costs. - DX and optimization of the entire site through WMS integration Our company also handles WMS (Warehouse Management System), allowing us to provide total proposals that encompass not only the introduction of automatic recognition but also upper systems and surrounding hardware. By leveraging the strengths of a trading company, we optimize the efficiency of the entire site as a single point of contact with multi-vendor support. **Main Applications and Use Cases** This product is implemented in various settings such as manufacturing, logistics, healthcare, and offices, where tracking and managing the movement of people and goods is desired. - Searching and picking specific products Instead of searching for targets one by one, it instantly detects the desired item on the screen using color, sound, and vibration notifications. - Traceability and security measures Since image history is retained during authentication, it is effective for image verification during troubles and preventing impersonation. It can also easily integrate with external cloud systems like kintone.