Southern California Edison

Image Quality Detection Platform

• Build end-to-end platform that picks up third-party provided images of electric poles to detect the quality of the image for further downstream consumptions. 
• Various AI models are applied to detect various aspects:
  • Structure Detection
  • Tags Deciphering
  • Occlusion
  • Blurriness
  • Angle detection
• Once the quality of the images are determined to be adequate, channel these images for anomaly detection and other downstream analytics.
• Added functionality to detect & decipher tags on these electric poles
• Various AI models were developed to recognize the backgrounds of the tags and then decipher vertically written alphanumeric characters.
• Developed master pipeline that 
  • processes all images, 
  • branches to appropriate data pipelines based on the types of objects detected in the image
  • invokes appropriate AI models on the image
  • persists all outcomes into appropriate folders for validations by humans.

Technologies Used: TensorFlow, Google Vertex AI, Google AI Platform, Google Kubernetes Services, Azure Data Factory, Azure Function Apps, CosmosDB