Defective products that could not be detected well by other automatic inspection machines or deep learning can now be detected!!
An algorithm called "ABHB" that detects defective products through image recognition, distinguishing defects in metal processing products such as casting defects from "contaminants" and "other defects." With "PhotoNavi - Visual-less," it is possible to detect areas that meet specific conditions within images and automatically identify similar colors, shapes, and patterns instantaneously, using an algorithm that closely resembles the sensory judgment made by humans. Inspection of casting defects Inspection of edges ◆ Works with a small number of sample images ◆ Usable on a general PC ◆ High-speed recognition depending on the software language ◆ Recognition accuracy of over 99% * Proven effective in inspections at factory line speeds of up to 40 meters per minute.
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Ingredient counting in food manufacturing processes Detection of fine scratches and dirt on automotive parts Flow analysis of small fish models Presence or absence of semiconductor-related components, solder inspection Equipment inspection for railway companies Color inspection of wall materials, flooring materials, etc. Verification in the chemical industry, etc.
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In today's world, where various aspects of society are rapidly changing, Yokoyama Shokai aims to develop a diverse range of products that meet the needs of the times. We will take abstract concerns such as "business improvement," "visualization," "automation," and "labor saving," and turn them into concrete solutions, working together to resolve the challenges our customers face. We provide advanced technical capabilities ranging from AI to ROS control, tailored to our customers' requests. Since 2020, we have established a Nagoya sales office to support the Tokai region and the entire country.
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