Google Professional Data Engineer
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You are employed at a shipping company with multiple distribution centers where packages are routed via delivery lines. The company plans to incorporate cameras on these delivery lines to identify and monitor any visual damage to the packages during transit. Your task is to develop an automated system that can detect damaged packages and immediately flag them for human inspection in real-time as they move along the delivery lines. What solution would you recommend?
You are employed at a shipping company with multiple distribution centers where packages are routed via delivery lines. The company plans to incorporate cameras on these delivery lines to identify and monitor any visual damage to the packages during transit. Your task is to develop an automated system that can detect damaged packages and immediately flag them for human inspection in real-time as they move along the delivery lines. What solution would you recommend?
Explanation:
The correct answer is B. Train an AutoML model on your corpus of images and build an API around that model to integrate with the package tracking applications. This is the most suitable solution because AutoML allows you to create a custom machine learning model tailored specifically for recognizing patterns of damage in packages. By integrating this model with your package tracking applications, you can achieve real-time detection and flagging of damaged packages. This ensures both accuracy and efficiency in detecting package damage, as opposed to using general image analysis tools like the Cloud Vision API, which might not be as effective for this specific task.