Autonomous manufacturing in the automotive industry is on the rise. The factories' robots, sensors, machines, cameras, and systems generate large amounts of data on a daily basis. AIoT (Artificial Intelligence of Things) offers a solution to make sense out of such factory-generated data.
With the help of IoT connectivity and AI, smart factories gain the ability to monitor equipment, detect faults, forecast maintenance needs, and optimize the workflow.
For instance, using sensors attached to the manufacturing equipment, it is possible to continuously collect data related to vibration, temperature, and performance. Rather than reacting to the machine breakdowns, smart models can help identify potential issues early on.
Besides, AIoT can assist in automated quality inspection, production analytics, tracking inventory, energy optimization, and intelligent robotics.
The architecture typically involves connecting machines and sensors using an IoT layer and processing data via edge or cloud infrastructure with the use of AI models.
The outcome of such system will be a factory able to sense, analyze, predict, and respond.
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