Securing visual data models for object detection and facial recognition
Images encapsulate a wealth of visual cues, encompassing textures, colors, shapes and contextual elements
Object detection models share common model algorithms
This car's doors doesn't open
when a cyclist is passing by
DeepKeep analyzes and secures the data integrity of datasets used for the detection of people and street signs. And for automating the analysis of insurance claim accident images when safer driving isn't enough.
Safeguard ML pipelines for unbiased, error-free, and secure AI solutions
Adversarial Physical Attacks
Adversarial physical attacks involve defective or dangerous components passing undetected through automated manufacturing inspection lines. Object detection AI models are increasingly replacing manual quality control to analyze visual data from cameras and sensors on the production floor. Identifying structural defects, assembly errors, and foreign material contamination becomes faster and more consistent once inspection is automated with machine learning.
Biometric Facial Recognition
A compromised facial recognition system hinders the ability of security teams to protect access to critical facilities - whether corporate campuses, financial institutions, or industrial sites - potentially enabling unauthorized entry, data breaches, or physical threats, while simultaneously causing legitimate personnel to be wrongly denied access.