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AWS Developers Podcast

Episode 045 - Computer Vision on AWS with Francesco Pochetti

Jul 15, 2022
Francesco Pochetti, Senior Machine Language Engineer at Bolt and an AWS Machine Learning Hero, discusses his transition from chemist to computer vision engineer, the value of diverse learning in machine learning, and challenges of computer vision on AWS such as face matching and OCR. They also cover topics like network bandwidth challenges, deploying models on SageMaker, optimizing neural networks, and face blurring for privacy.
26:25

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Quick takeaways

  • Using AWS services like AWS recognition and Amazon Textract in image-based verifications is crucial for ensuring user requirements are met.
  • Deploying deep learning computer vision models effectively requires optimization frameworks like TensorRT and overcoming challenges related to size of images and network bandwidth.

Deep dives

Building a Verification Platform at Bolt

At Bolt, the speaker is building a verification platform to ensure users meet certain requirements, such as having a valid driving license. This process involves image-based verifications, including face matching and optical character recognition (OCR) to read and verify information from ID documents. AWS services like AWS recognition and Amazon Textract play a key role in these verifications. The speaker also highlights the importance of understanding the business problem being solved and the need for human review fallback using SageMaker Ground Truth.

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