Skip to main content

About

Blurs.co.uk is a website exploring privacy in the age of surveillance—insights on data tracking, digital rights, security tools, and how to protect your personal information online. 


Disclosure

This website is 100% reader supported. We are able to produce our editorial content thanks to you, our readers. Our revenue comes from a mix of display ads and affiliate commissions.

Blurs.co.uk is part of several affiliate sales networks. This means that the companies, for example Amazon.com, whose products you see listed on this site, will pay us referral fees if you decide to purchase via one of our affiliate links. 

Being a part of these affiliate networks makes it possible to support the development of this website and keep the information free and accessible.

Similarly, we can also serve display ads within our content which can also generate compensation from our ad partners for both clicks and/or views. 

Neither of these place any burden of cost onto the reader. We simply earn a small commission, typically 3%; although this varies, on any qualifying sales via this website.

Affiliate marketing is a type of performance-based marketing where an affiliate is rewarded by a business for each new customer attracted by their marketing efforts (typically measured using ‘clickthroughs’ or sales), usually with a pre-agreed percentage of each sale as a commission. 

Affiliates place ads and links online that direct consumers to the website of a company. This includes trackable links obtained directly through brand-owned affiliate programs, such as ‘Amazon Associates’, or through affiliate networks like ‘Awin’, ‘Skimlinks’ or ‘LTK’. Affiliates are effectively acting as a secondary advertiser since they earn money in direct proportion to the interest they generate in a product.


Amazon Affiliate Disclosure

Blurs.co.uk is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by linking to Amazon.com. As an Amazon Associate we earn from qualifying purchases.


Cookies

This Website may also use so-called “technical” Cookies and other similar Trackers to carry out activities that are strictly necessary for the operation or delivery of the Service.



© 2026 Blurs.co.uk - All Rights Reserved

Comments

Popular posts from this blog

Anti Facial Recognition Clothing: Does It Really Work?

Best Anti Facial Recognition Clothing: Does It Really Work? Introduction Anti facial recognition clothing has gained attention as a way to protect privacy in public spaces. Some designs claim to confuse AI systems—but do they actually work? Let’s break down the reality. How Clothing Affects Detection While facial recognition focuses on faces, modern systems also use: • Body shape • Movement patterns • Contextual data ๐Ÿ‘‰ Clothing can play a supporting role. Types of Anti Facial Recognition Clothing 1. Reflective Clothing These materials reflect light strongly: Can distort camera images May obscure body outlines ๐Ÿ‘‰ Effectiveness: Low to Moderate 2. High-Contrast Patterns Busy designs can confuse detection algorithms. Examples: • Abstract prints • Repeating patterns • Optical illusions ๐Ÿ‘‰ More effective for body detection than face recognition 3. “ Adversarial Fashion ” Some experimental designs include: • Fake faces printed on clothing • Patterns designed to trick AI ๐Ÿ‘‰ Interesting, but ...

What Actually Works (and Doesn’t) to Avoid Facial Recognition in 2026

What Actually Works (and Doesn’t) to Avoid Facial Recognition in 2026 Advice about “beating” facial recognition is everywhere—but much of it is outdated, oversimplified, or just wrong.  Modern systems are built on deep learning and high-dimensional embeddings, which makes them far more robust than earlier generations. This article cuts through the noise. It explains what actually reduces your likelihood of being identified today, what doesn’t, and why. 1. The Reality: You Can Reduce Risk, Not Eliminate It Before getting into techniques, it’s important to be precise: There is no reliable way to guarantee anonymity in environments where facial recognition is actively deployed You can reduce accuracy, increase uncertainty, or avoid inclusion in certain systems.  Effectiveness depends heavily on context (lighting, camera quality, database size, and system design) Think in terms of risk reduction, not invisibility. 2. What Doesn’t Work (or Barely Works Anymore) Many widely shared t...

Facial Recognition Regulation in 2026: The Laws, Bans, and Global Shift Reshaping Biometric Surveillance

Facial Recognition Regulation in 2026: The Laws, Bans, and Global Shift Reshaping Biometric Surveillance 2026 marks a turning point for facial recognition technology.  After years of legal disputes and fragmented rules, governments—especially in Europe—are moving from general data protection frameworks to direct, enforceable regulation of AI systems themselves. The result is a fundamental shift: facial recognition is no longer just a privacy issue—it is now a regulated high-risk technology with explicit legal boundaries. This article provides a comprehensive, up-to-date analysis of the most important regulatory changes affecting facial recognition in 2026, what they require, and what they mean in practice. 1. 2026: The Year AI Regulation Becomes Enforceable The most important global development is the implementation of the EU Artificial Intelligence Act (AI Act)—the first comprehensive law directly regulating AI systems. • The Act entered into force in 2024 • Key provisions began a...