[Development Case] Development of an Anomaly Detection System in a Production Factory
Establishing an anomaly detection system in the production line of a food factory.
In 2018, we built an anomaly detection system for the production line of a food factory. In food production environments, the presence of impurities and unsanitary substances can become problematic. Therefore, a high recall inference system is required. From searching for appropriate models to implementation, training, and building the inference system, we researched suitable models and carried out their implementation, training, evaluation, and the construction of the inference system. To avoid existing patents, we developed a new model. Many companies are working on anomaly detection in this type of production line, and this time it was necessary to construct a new model that does not infringe on already filed patents. Thus, we conducted research at CVPR and ICCV and implemented a newly proposed type of anomaly detection model. *For more details, please refer to the related links or feel free to contact us.*
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Our company is engaged in various artificial intelligence-related businesses, including artificial intelligence development, artificial intelligence consulting, artificial intelligence seminars, and artificial intelligence application development. Since 2013, we have shifted to Deep Learning, working on improvements to CNNs and RNNs, and by 2015, we developed our own model using RNNs. Additionally, starting in 2016, we expanded our focus to deep reinforcement learning, developing numerous simulation models and robot models. Please feel free to contact us if you have any inquiries.