Car Damage Detection with Deep Learning Algorithms
Problem
- Damage control and related cost calculations are being performed by experts.
- Due to the increase of fleet and inspection quantity, alternative solutions are required for cost and time optimization
Action
- Developed an AI algorithm to replace experts and their manual controls.
- Combined two models (1. part detection 2. damage detection) to predict required replacements and repairs.
- Integrated with third party to obtain up to date spare part costs
Tool Stack
- Azure, Python, Rabbit MQ, .NET, SQL DB, Vue.js, Pytorch, Tensorflow
95
%Accuracy rate for detection
400
%Increase process cycle
85
%Automation