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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?
A
Use BigQuery machine learning to be able to train the model at scale, so you can analyze the packages in batches.
B
Train an AutoML model on your corpus of images, and build an API around that model to integrate with the package tracking applications.
C
Use the Cloud Vision API to detect for damage, and raise an alert through Cloud Functions. Integrate the package tracking applications with this function.
D
Use TensorFlow to create a model that is trained on your corpus of images. Create a Python notebook in Cloud Datalab that uses this model so you can analyze for damaged packages.