Model Accuracy
Response Time
The client, a US-based company provides a digital marketplace for Insurance Salvage vehicles. However, due to the bad image quality, customers withdrew their interest in buying vehicles, resulting in a potential loss in revenue. The client, therefore, required a solution that can assess image quality on the go and reject images failing to meet the standards.
Azure DevOps 
Azure Machine Learning Service
Azure Repos 
Azure Blob Storage
Quantiphi developed a computer vision solution based on the Custom AI/ML Classification Model technique. It identifies image noise such as blurs, glares, shadows, and so on in real-time, prompting field personnel to retake vehicle photos before presenting the car up for bid/sale.
