Altoros Car Damage Recognition

Altoros Car Damage Recognition

Car Parts Identification - Comprehensive auto parts analysis using localization and segmentation (main external vehicle parts, such as a hood, bumper etc). Photo quality control through algorithms that check the quality of photos in advance, ensuring an auto-focus on the main car parts eliminating the risk of blurred, over- and underexposed images. Process numerous vehicle's photos at once with subsequent integration of the result Damage understanding and cost estimation - Car part damage level and cost estimation as required part is identified. Algorithm driven repair, replace decision support forming a hypothesis about the general state of a vehicle.

*Please note that member solutions are often customizable to meet the needs of individual enterprise end users.



  • Car Parts Identification
    Localization and segmentation (hood, bumper etc), Photo quality control, Photostream processing


Brazil France Germany Other - Europe and Africa Other - North and South America United Kingdom United States Intel® Core™ Processor Family Intel® Xeon Scalable CSP - Google Cloud Keras TensorFlow Automotive Finance and Insurance Transportation and Warehousing Models can be trained - requires labeled data Linux Compute Library for Deep Neural Networks (clDNN) Intel® Distribution for Python Intel® Math Kernel Library (Intel® MKL) Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) Intel® Distribution of OpenVINO™ toolkit ResNet50 SSD Robotic Process Automation Deep Learning Machine Learning