Smart application with best cloud service.
November 14, 2019
Smart application with best cloud service.
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with IBM Cloud Object Storage
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).
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).
Pros
- Data is stored as a different object
- Application can be scaled
- Reliability and accessibility
Cons
- It is not CJIS compliant
- It is sometimes slow due to IO traffic
- Since it's public cloud storage, security and privacy is a concern
- Storage space
- Scalable
- Reliable
I have used IBM Watson for building the hands-free device control using the virtual assistant. We have created a chatbot that was trained with different intents, dialogs, and entities. We are currently working on a Watson Natural Language Understanding service to make our application robust by implementing the natural language processing technique on the chatbot data.
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