Edge AI Learnings: CPU Architectures, GPU Capabilities, and Challenges with Nvidia Jetson
We delve into the intricacies of CPU choices (ARM vs. x86), unlock the mysteries of GPU capabilities, and tackle the unique challenges of Jetson platforms.
Celantur at Esri UC 2024: Solutions Now Listed on ArcGIS Marketplace
Celantur Solutions Available on ArcGIS Marketplace, and Growing Demand in the US.
Celantur at the Esri User Conference 2024 in San Diego
Visit Celantur at Esri UC 2024 and discover the future of data anonymization.
Using object tracking to combat flickering detections in videos
How to decrease the amount of flickering detections in videos with object tracking.
How to copy XMP metadata between JPEG images (again)
Copying XMP metadata between images isn't straightforward. Read how it's done correctly.
20x Faster Than NumPy: Mean & Std for uint8 Arrays
How to calculate mean and standard deviation 20 times faster than NumPy for uint8 arrays.
Celantur and Virtual Vehicle Collaborate for Privacy Preserving Driving Technology
Enabling automotive companies to develop AD/ADAS systems while respecting privacy.
How to Redact Faces on Images and Videos
Learn about the process of image and video redaction for data privacy compliance with insights on methods like blurring, pixelation, and more. Discover the advantages of AI-based solutions and Celantur's industry-leading technology.
Image and Video Redaction On-Premise: Our Experience
We explore the advantages and limitations of running image and video anonymization on-premise in data-intensive industries like autonomous driving and smart cities.
Image Anonymization API: How can I implement it? What Can I Do with It?
Discover the benefits of using a REST API for image anonymization and learn how Celantur’s Cloud API can streamline your development process.
Celantur Launches New Large-Scale Anonymized Data Transfer Service with LYVE Mobile by Seagate
This innovative solution provides customers with trusted data protection while transferring data.
How to Build an Algorithm for Face and License Plate Blurring Using OpenCV and Python
This step-by-step guide covers everything from installing OpenCV to applying Gaussian blurring to the detected regions
Questions about GDPR-compliance of ADAS and Autonomous Driving
A lawyer answers some of the most common legal questions about collecting, storing, processing, and sharing autonomous vehicle data.
Checklist: Video Anonymization for ADAS Datasets
All you need to know to anonymize autonomous vehicle datasets in compliance with the GDPR and data protection laws
Checklist: Getting Started with Blurring Single and Panorama Images
A list of things you need to consider when starting with anonymizing mobile mapping imagery.
Face and license plate anonymization: all you need to know
How to choose the right blurring software for image and video blurring
Smart City - why it's more than a buzzword
Together with Timo Tuukkanen - Director of Strategic Partnerships at Bentley Systems, we tried to unveil what “Smart City” concretely means for cities, companies and, most importantly, citizens.
Mobile Mapping Hardware, Software and Datasets
A list of Mobile Mapping Hardware, Software and Datasets
Privacy vs utility: why protecting privacy is not a trade-off
Discover why Image and Video Blurring should be a standard for Computer Vision Application
Monetizing street-level imagery: Our learnings
Some of our learnings regarding technical, business and legal aspects when it comes to monetization of street-level imagery
How to blur personal data on FARO laser scanner color images
Learn how to apply automated blurring on FARO laser scanner panoramas to comply with data protection laws and protect privacy.
How to copy XMP metadata between Images
Copying XMP metadata between images isn't straightforward. Read how it's done correctly.
Drones, UAV and Data Protection in the EU
Learn how to deal with the sensitive issue of data privacy in the European Union when planning a drone project.
Understanding Specificity and Sensitivity
How these two kind of wrong can impact your computer vision project for object detection.
Smart Cities & Mobile Mapping: Amsterdam
Learn how the city of Amsterdam uses Mobile Mapping to improve the daily work of several municipal departments.
Who will take care of Data Privacy on Autonomous Vehicles?
Implications of data privacy once autonomous vehicles will be commercially available.
Using Mobile Mapping for Digital Twins
Benefits, privacy and security implications when collecting indoor imagery data for BIM models and digital twins.
Data Protection for Mobile Mapping
Mobile Mapping providers should be aware of data privacy implications when collecting, processing and sharing panorama and planar imagery.
Why Image Anonymization is not only a regulatory requirement
A psychologist's view on Mobile Mapping. Understand why citizens react negatively when being filmed without consent.
What is Drone Mapping
Learn about the benefits of including drones to your mapping services and their different applications by industry.
Guide to implement Mobile Mapping in your Smart City
How cities are using Mobile Mapping for improving their digital services, and what to know if you want to replicate it in yours.
Data Protection for Mobile Mapping (for experts)
History and Implications of Data Protection Laws like GDPR, CCPA, etc. for Mobile Mapping.
Image Anonymization for Mobile Mapping
Achieving Legal Compliance of Mobile Mapping by Anonymizing Images.
Privacy by Design for Image Processing
Learn how to embrace privacy by design into your image capture and processing workflow to proactively comply with the GDPR and avoid fines and other risks.
What is Mobile Mapping
What is mobile mapping? What are its benefits? Read all you need to know before implementing Mobile Mapping Systems in your company.
Training models with Panoptic Segmentation in Detectron2
Tutorial on how to train your own models with panoptic segmentation in Detectron2.
'Privacy Issues' Interview: Trends and challenges of data anonymization
'Privacy Issues' talked with Celantur’s founders, Alexander Petkov and Boyang Xia about the trends and challenges of data anonymization technology.