{
  "id": 382830,
  "title": "This ‘adversarial’ pattern can prevent surveillance cameras from detecting you",
  "url": "https://urgent.news/2026/08/09/this-adversarial-pattern-can-prevent-surveillance-cameras-from",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-09T14:00:00.000Z",
  "source": {
    "name": "TechCrunch",
    "slug": "techcrunch",
    "url": "https://techcrunch.com/2026/08/09/this-adversarial-pattern-can-prevent-surveillance-cameras-from-detecting-you/"
  },
  "original_language": "en",
  "account": "Bill Swearingen dedicated a year to creating computer-generated patterns that can effectively block surveillance cameras from detecting objects and people. After conducting 31 million tests, he developed noRecognition, which allows individuals to avoid detection by license plate readers and surveillance cameras. Swearingen explained that his patterns do not hinder video recording but rather obfuscate the camera's ability to recognize objects, people, or faces, thereby avoiding any detection alerts. The noRecognition project was showcased at the Def Con cybersecurity conference in Las Vegas, where Swearingen successfully demonstrated the effectiveness of the patterns on a 2009 Toyota Yaris. The video will be released in the coming weeks. Swearingen emphasized the importance of privacy as a fundamental right and the necessity for people to be able to opt-out of being tracked. He acknowledged the privacy and security risks posed by surveillance cameras, especially in his hometown where they are abundant. Swearingen expressed his hope that the patterns will soon be available to the general public through a crowdfunding campaign and merchandise featuring the patterns, including clothing items and vehicle skins, aiming for high-quality resolution that is aesthetically pleasing.",
  "summary": "A security researcher has designed an algorithm that can create computer-generated patterns capable of hiding people, faces, and vehicles from detection by surveillance cameras.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}