• By automatically recording image samples , an audit trail can be established that does not require additional workload for the inspector .
3 . Store steel grade estimate from AI model and sequence number into log management database
• Incorporation of AI estimation can improve the speed and efficiency of the grading process by recognizing routine inclusion patterns without inspector intervention . In addition , the audit trail is further maintained by pairing the AI analysis with the original image sample .
4 . Inspectors determine final quality decision by referring to estimated steel grade
• By automating the image recording and AI estimation process , the inspector can better concentrate on the steel grading process . The AI estimations aids the inspector by identifying routine inclusion patterns , allowing the inspector more time to evaluate difficult sample images .
For the auditing and steel grade evaluation services , it was important to have permission to access to the steel image sample data . The image samples must be sequenced and stored for the auditing service , and they must be and analyzed by the AI model to perform a grading estimate . Because these operations occur outside the customer ’ s environment , permission must be granted by the customer to allow these operations to be performed .
Because of the existing relationship with the steel manufacturer , including previous operational improvements , a high level of trust had already been established . Moreover , it was easy for them to realize the value of the auditing and AI-based evaluation services ; so , allowing access to the sample data was not a concern . Nevertheless , it is always important to be aware of data ownership rules , understanding both business and legal concerns , regardless of the customer ’ s level of trust in the system or the supplier .
78 November 2021