Smart application with best cloud service.

I'm working on an Optical Character Recognition problem for one of the NIST's public safety projects. I have been using the IBM Cloud services, like Object Storage, Spark and Watson NLU. I have used Cloud Object Storage to store the input image files and output text files.

My team is also using Cloud Object Storage for hosting the application's data. We are using the Watson API's to connect it with Jupyter Notebook for building the OCR model that could extract the text data from an input image file. The data that we are working on is license plate information that we are trying to extract the state, car number, etc. from. We are integrating the OCR application with a hands-free virtual assistant to build a robust product that would help first responders to do their job efficiently and easily without using hands (Hands-Free Device Control using Virtual Assistants).

Yes, IBM Cloud SQL query helps in faster retrieval of the object stored in Object Storage service, like buckets we create. The in-built SQL query useful in improving the performance when the application is accessing the data stored in the Object Storage using an API. The underlying Apache Spark used for distributed storage processing of the buckets.

IBM Object Storage service provides the high speed data transfer over the long distance such as uploading or downloading the data file. It is high reliability because the data loss between the two systems is less comparative to the other services and networks. The service is faster as the data transfer is much more faster than other cloud service providers and it has low latency.

We are working on an OCR application and the Cloud Object Storage service is pretty much solving our application needs. It is up and running as it comes under a free tier. We are using API's to connect it with the Jupyter Notebook to work with the application's data.