DeepKeep Computer Vision is a security solution that analyzes and secures the data integrity of datasets used in computer vision applications. The platform focuses on protecting datasets used for object detection models, particularly in automotive and insurance use cases. The solution addresses data integrity concerns for computer vision systems that detect people, street signs, and other objects. It provides security for datasets used in automotive safety applications, such as systems that prevent car doors from opening when cyclists are passing by. DeepKeep also supports insurance industry applications by automating the analysis of accident claim images. The platform works with object detection models that share common model algorithms, providing security across different computer vision implementations. The solution targets the security of training data and datasets used in machine learning models for computer vision, helping organizations ensure their AI systems operate on trusted and uncompromised data. This addresses risks associated with data poisoning and dataset manipulation that could compromise the accuracy and safety of computer vision systems.