Introducing Privacy Mask: Enhancing security in AI vehicle inspections
Introducing Privacy Mask, a new pre-processing capability designed to make AI vehicle inspections more secure.
As AI continues to transform the automotive and insurance sectors, it also introduces new challenges around data security, particularly when vehicle inspection images contain sensitive information.
Faces and license plates appear frequently in inspection photos, raising concerns around privacy, compliance, and secure data handling.
To address this, Inspektlabs has introduced privacy mask, a new pre-processing capability designed to make AI vehicle inspections more secure and fully compliant with global data protection standards. Privacy mask automatically detects and masks sensitive information before any data reaches the Inspektlabs cloud, ensuring that your inspection workflows remain safe, secure, and regulation-ready.
How does the Privacy Mask work?
While our existing workflows were secure and compliant with industry standards, we knew that a stronger, more privacy-first approach was essential. This decision led us to work on the new Privacy Mask.
With the new Privacy Mask enabled, Inspektlabs can now process sensitive information using a secure, real-time anonymization pipeline before any images reach the cloud. This ensures a fully secure experience for all users of our vehicle inspection software.
- Real-time detection and masking of sensitive information
Our system uses advanced AI-based computer vision to automatically detect number plates, faces, and other identifiable elements in inspection images or videos. These regions are blurred instantly before transmission. - No sensitive data reaches Inspektlabs' servers
Only pre-processed, anonymized images are sent for AI vehicle inspections. This eliminates the risk of storing or handling sensitive information at any layer of our cloud infrastructure. - End-to-end anonymization through our privacy docker image
For customers who prefer complete on-premise preprocessing, our privacy Docker image provides a fully contained detection-and-masking workflow. It returns- Bounding boxes for all detected faces and license plates.
- A Base64-encoded image with those areas blurred.
This ensures an entirely secure process where sensitive information is anonymized before any inspection. storage, or sharing occurs.
Benefits of the Privacy Mask feature
The introduction of Privacy Mask significantly strengthens security, compliance, and user confidence across all AI-powered inspection workflows.
- Privacy compliance before cloud upload
Sensitive information is masked locally, ensuring privacy compliance at the earliest stage of inspection. This elevates the safety and reliability of all automated vehicle inspection use-cases. - Strong alignment with GDPR and Global Data regulations
By ensuring no personally identifiable information (PII) reaches our servers, Privacy mask supports stricter adherence to GDPR, CCPA, and similar international data protection requirements. - Easier, hassle-free image capture
Users no longer need to hide faces or license plates manually during inspections. Images and videos can be captured freely through the vehicle damage inspection app, knowing that Privacy Mask will automatically handle anonymization. - Increased trust in the inspection workflow
With enhanced transparency and stronger security controls, enterprise users gain greater confidence in integrating Inspektlabs into their inspection operations, especially in insurance, rental, and fleet environments.
Conclusion
Privacy Mask marks a significant step forward in making AI vehicle inspections more secure, compliant, and trustworthy. By anonymizing sensitive information before processing begins, Inspektlabs strengthens its commitment to privacy-first innovation while enabling seamless integration into diverse enterprise workflows.
As AI adoption accelerates across the automotive and insurance industries, Privacy Mask ensures that your inspections remain safe, compliant, and ready for global-scale deployment.
To enable Privacy Mask for your organization or request a demo, please contact our team.
