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AI-OCR Incoming Inspection Solution for Chemical Manufacturers

AI reads hazardous material labels through smartphone photography to prevent inspection errors.

In the chemical industry, there is a diverse handling of raw materials and components, and incoming goods come in various packaging forms. It is necessary to visually confirm product information such as product name, lot number, capacity, and expiration date, and to cross-check this with the incoming data. This process requires a lot of effort and time, especially for incoming goods without barcodes. Additionally, manual visual checks carry risks such as human errors like incorrect inventory and variations in inspection accuracy due to the skill level of the workers. Our AI-OCR-based incoming inspection solution automatically reads the necessary items just by taking a photo with a smartphone, addressing these challenges. By cross-referencing the reading results with the incoming data, it prevents inspection errors and reduces work time. 【Use Cases】 - Reading hazardous material labels - Inspecting incoming goods with diverse packaging forms - Confirming the receipt of products without barcodes - Reducing human errors from visual checks 【Benefits of Implementation】 - Increased efficiency in incoming inspection tasks - Thorough prevention of incorrect inventory - Improved and standardized inspection accuracy - Reduced work time

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 incoming data, it prevents inspection errors and reduces work time. - It issues internal management labels with two-dimensional 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, focusing on labels, packaging, and commercial printing, along with its ability to propose solutions tailored to specific challenges, to provide 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 short delivery times, production of promotional tools such as promotional 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.