[Case Study] Edge Processing IoT Platform System
Process and analyze data on edge devices to reduce communication load and improve response speed!
We would like to introduce a case study of the development of our "Edge Processing IoT Platform System." During the development, we faced challenges such as addressing the constraints of edge devices (processing power and memory) and model lightweighting. In response, we implemented model compression techniques, checkpoint-based update design, and a local/cloud cooperative data structure. 【Technical Challenges】 ■ Addressing the constraints of edge devices (processing power and memory) and model lightweighting ■ Ensuring the reliability of model updates in remote locations ■ Data synchronization and consistency maintenance in intermittent communication environments *For more details, please download the PDF or feel free to contact us.
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【Main Achievements】 ■ Communication data volume: Reduced by up to 40% ■ Response delay: Reduced by an average of 50% ■ Device anomaly detection: Immediate response possible ■ Cloud dependency: Reduced operational costs *For more details, please download the PDF or feel free to contact us.
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For more details, please download the PDF or feel free to contact us.
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Our company acts based on a sense of "mission" as "IT professionals," focusing on the "thoughts" of each individual customer to lead them to success. We contribute to stable energy supply through energy solutions utilizing AI and IoT. Additionally, we provide services globally across our entire company group, including overseas locations. Please feel free to contact us if you have any requests.