AUO Digitech provides intelligent detection and analysis services. Based on artificial intelligence technology, we extract the value of data and assign an algorithm model to the terminal to enable edge hardware to generate intelligent decision-making capabilities. With our rich scenario application technology and algorithm model accumulated in the manufacturing industry for many years, we provide comprehensive and complete intelligent detection, big data analysis, artificial intelligence and other solution services for enterprises.
AI expertise systems are huge, and require a lot of time and cost to cultivate related talents with rich experience
The programmer needs to write the model carefully and adjust the parameter settings, which takes a long time
When there are many field terminal devices, it is necessary to deploy the model more quickly and manage the terminal model status and version
Enjoy AI is a system platform with four functional modules, namely "data analysis", "parameter recommendation", "model training" and "association rule analysis". After the data is imported into Enjoy AI, the platform will conduct preliminary results statistics of the data for users' reference, storing, analyzing, and self-reorganizing the uploaded data. It then uses the ML module to establish a model and obtain various evaluation charts and explanatory content of the model, or uses the recommendation module to achieve auxiliary decision-making and analysis.Learn More →
AI depth learning technology can mark the images to be identified, analyze the marked object features use a neural network training model, and perform object image classification, object detection, and anomaly detection tasks from the images.
When the detected object has multiple defects, the AI model features can be used to enable the detection system to identify clear defects, multiple defects, learn the appearance of the object, and enable the object to have allowable changes.
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An ice-water air conditioning system is an air conditioning mode used in large buildings, which transfers heat generated indoors to the outdoors through ice-water circulation, refrigerant circulation and cooling water circulation.
The system includes: ice-water host, ice water pump, water cooling tower and water cooling pump.
The setting of temperature value, temperature difference, flow rate and other parameters in the ice water and cooling water circulation, the interaction between parameters, and the change of temperature and humidity in the atmosphere will affect the power consumption.
Taking the AUO factory as an example, we collected hundreds of thousands of operation data related to external air, process cooling water and equipment load (109 variables in total), combined with air conditioning principles, big data and AI artificial intelligence, and developed an optimal energy saving model for ice water system.Learn More →