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Israel is developing DNA facial recognition technology

Israel is developing DNA facial recognition technology
Corsight, a division of Israeli Cortica, which develops high-precision image identification technologies, intends to create a way to recognize faces using DNA.

Corsight presented the DNA to Face tool at the Imperial Capital Investors Conference in New York in mid-December. The essence of the technique is to build a physical profile by analyzing genetic material. The processed data is subsequently supposed to be passed through a video face recognition system to search for the right people, for example, criminals.

According to the American group of researchers in the field of video surveillance IPVM Corsight intends to offer its technology to law enforcement and government. Consultations for the company include former CIA Director James Woolsey and former FBI Assistant Chief Oliver Revell.

Israel is developing DNA facial recognition technology

According to experts, Corsight technology is extremely difficult to implement. In addition, it can become problematic due to possible violations of ethics, confidentiality, and discrimination.

Donald May, spokesman for IPVM, says that prior to Corsight's presentation, the organization was unaware of any firm's attempts to enter the commercial market with technology related to DNA facial recognition. As a result, the experts agreed that Corsight is taking action to create a futuristic video surveillance package and then offer it to potential buyers.

Corsight is not the first company to try to develop a video surveillance system based on DNA. For example, Silicon Valley-based Human Longevity claims to have been using this technology as far back as 2017. Parabon NanoLabs, a small Boston-based research lab, is also providing DNA-based data to law enforcement. In the Netherlands, researchers from the Center for Mathematics and Informatics were engaged in technology that was the opposite of DNA to Face. As a result of comparing three-dimensional photographs with DNA samples, scientists were able to achieve an accuracy of 80-83%.
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