Improving the performance and cutting costs of existing systems! Introducing a case study on the development of food foreign matter inspection equipment.
Our company has successfully detected a large number of foreign objects that were previously missed by applying Deep Learning object detection technology to images captured by inspection devices. In image processing, it is common to handle complex processing steps sequentially, which can lead to longer processing times per inspection, ultimately affecting overall production efficiency. With this technology, we have achieved high-speed inspections of approximately 100ms or less per inspection (per image), allowing us to improve inspection accuracy without compromising production efficiency. [Development Example] - OS: Windows 10 Pro - Development Period: 6 months - Number of Developers: 2 - Programming Languages: C#, C++, Python - Networks Used: SSD, Yolov3 *For more details, please refer to the PDF document or feel free to contact us.
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【Other Development Examples】 ■GPU ・Development: GTX1080Ti, RTX2080Ti ・Operation: GTX1080Ti, RTX2080Ti ■Number of Training Data: 2000 images or more ■Related Technology: Openvino *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Currently, technology around the world is dramatically evolving with AI at its center. And this speed is expected to accelerate even further in the future. These changes are also affecting the behavior of people in society, bringing waves of transformation to traditional business models. In this tumultuous era, we will provide solutions to various societal challenges with curiosity, power, and technology. Being involved in software development, especially in AI development, means contributing to the evolution of various technologies in the world, benefiting society, and making people happy. This is our mission and our greatest joy.
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