[AI Use Case] Picking Management in the Logistics Industry
Logistics companies, of course, can use it, as well as for pre-delivery inspections in the manufacturing industry!
We have a case study on "picking management in logistics using AI and other technologies." Real-time counting of items, detection of picking errors, and identification of defective products can be performed through image recognition. Inspections can be conducted without the need for barcodes or RFID, allowing for a reduction in management costs. Additionally, by using our proprietary model, it is possible to learn with minimal training data when registering new products. This can be utilized not only by logistics companies but also for pre-delivery inspections in the manufacturing industry. [Case Study Overview] - Real-time counting of items, detection of picking errors, and identification of defective products can be performed through image recognition. - Inspections can be conducted without the need for barcodes or RFID, allowing for a reduction in management costs. - It is possible to learn with minimal training data when registering new products. *For more details, please download the PDF or feel free to contact us.
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Our company is engaged in the research and development of artificial intelligence. We not only focus on efficiency through the development of AI and IoT but also provide comprehensive consulting and development that includes creating user interfaces to visualize these technologies and addressing operational challenges that often arise in reality. To create intelligence that does not yet exist in the world, we foster creativity through unconventional thinking. Everything we create aims to advance AI one step further, as we quietly and boldly continue to build upon our ideas.