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AI-OCR Incoming Inspection Solution for the Pharmaceutical Industry

Preventing incoming inspection errors by reading manufacturer labels with smartphone photography.

In the pharmaceutical industry, strict incoming inspection and accurate lot management are required to ensure product quality and safety. Particularly during the receipt of raw materials and supplies with diverse packaging forms and without barcodes, a significant amount of time and effort is spent on visual confirmation, which also carries the risk of human error. To address these challenges, our AI-generated OCR-based incoming inspection solution automatically reads necessary information (such as product name, lot number, capacity, expiration date, etc.) from manufacturer-specific labels simply by taking a photo with a smartphone. This is expected to improve the efficiency and accuracy of the inspection process. 【Usage Scenarios】 - Incoming inspection of pharmaceutical raw materials and supplies without barcodes - Reduction of time and effort through visual confirmation - Prevention of incorrect storage and inspection errors - Accurate reading and recording of lot numbers 【Benefits of Implementation】 - Reduction in the time required for incoming inspection tasks - Improvement in inspection accuracy and reduction of human errors - Strengthened traceability through accurate lot management - Reduced burden on workers and standardization of operations

Related Link - https://labelsystem.dmps.co.jp/

basic information

【Features】 - By simply taking a photo with a smartphone, the generative AI automatically reads the necessary items. - It can flexibly read various manufacturer-specific labels without any format training. - By cross-referencing the reading results with the expected arrival data, it prevents inspection errors and reduces work time. - It issues internal management labels with QR codes, which can also be used for inventory management, stocktaking, and shipping inspections. 【Our Strengths】 Daiomiura Co., Ltd. is a company that leverages its technical expertise in manufacturing, focused on labels, packaging, and commercial printing, along with its ability to propose solutions tailored to challenges, providing broad support from manufacturing sites to promotional areas. We consistently handle the development, manufacturing, and sales of label systems, printing and shipping of business forms, and support for operational efficiency, as well as the design and manufacturing of packaging and logistics processing. Furthermore, by combining high-quality, high-speed large-volume printing with quick delivery, production of promotional tools such as display fixtures and POP, web production, digital initiatives, and business support through BPO, we comprehensively solve our customers' challenges. With a system that can handle everything from manufacturing to promotion, digital, and business support, we contribute to efficiency and added value enhancement.

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Examples of utilizing generative AI-OCR in inbound inspection operations.

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Daio Miura Co., Ltd. is a company that supports a wide range of needs—from manufacturing sites to promotional activities—leveraging its strengths in manufacturing technologies centered on labels, packaging, and commercial printing, along with its ability to propose solutions tailored to specific business challenges. We provide end-to-end services, including the development, manufacturing, and sales of label systems; printing of business forms through to mailing services and operational efficiency support; and packaging design and production through to logistics processing. In addition, we combine high-quality, high-speed large-volume printing with short lead-time capabilities, the production of promotional tools such as fixtures and POP displays, web development and digital initiatives, as well as BPO-based business support—delivering comprehensive solutions to our clients’ challenges. From manufacturing to promotion, digital solutions, and business support, we offer a fully integrated, all-in-one structure that contributes to greater efficiency and added value.