Data Engineering & Analytics
Strategic Management Consulting
Car Damage Detection with Deep Learning Algorithms
Our client is an international car rental company. Upon return, the vehicles are manually inspected for damages by experts.
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
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
Azure, Python, Rabbit MQ, .NET, SQL DB, Vue.js, Pytorch, Tensorflow
Accuracy rate for detection
Increase process cycle