An IoT and Azure project that uses a Raspberry Pi to convert an analog oil-tank meter into a digital one. This is accomplished with the following data flow:
- On a scheduled basis, the Raspberry Pi waskes up and takes a picture of the analog oil-tank meter.
- The picture is uploaded to Azure Blob storage
- A serverless function is triggered by the new picture. This function sends the picture to Azure Cognitive Services for analysis
- The numbers detected in the photo and their location identified by Cognitive Services are used to determine a 'true reading'
- The true reading is saved in Azure Table storage for use in reporting or other applications