Invisibility coat to help keep the wearer in sight of surveillance cameras
In recent years, there has been an increase in the number of AI-based video surveillance cameras that use artificial intelligence to recognize people and objects. However, a new invention called InvisDefense has been developed to conceal the wearer from these surveillance cameras.
An artificial intelligence-based “invisibility coat” called InvisDefense was developed by Chinese students at Wuhan University to conceal the wearer from surveillance cameras. These outfits run about $71 in price.
Although the invention makes it possible for the camera to record a human, AI doesn’t recognize the presence of a person in the image or video.
InvisDefense is a coat that is printed with a special algorithm that confuses visible light cameras during the day. It also has built-in thermal sensors that release peculiar heat signals at night in order to confuse infrared cameras. This makes it difficult for the AI to recognize the presence of a person in the image or video.
- Chinese researchers think that when employing AI on the battlefield, the InvisDefense cloak may be worn as a uniform by soldiers to avoid being seen by drones or other equipment. However, the disadvantage is that some detection systems in self-driving vehicles can be tricked by clothing.
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Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
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Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
