September 2, 2020, ainerd
AI aims to improve firearm safety. But is it really to just make profit?
A Philadelphia-based start-up weapons manufacturer plans to incorporate radio frequency ID technology in its products to keep guns out of the hands of children and criminals. A San Francisco-based artificial intelligence company that uses computer visualization for security applications has announced the launch of its first product that it says can identify firearms in a crowd.
From there, the Deep Learning Tool detects radar patterns that match weapons, including handguns, long guns, knives and explosives. To increase accuracy, Virtual eForce has trained its algorithm to detect a range of different types of firearms, from handguns to long guns – including semi-automatic rifles, shotguns, pistols, rifles and shotguns. Video images of firearms and knives are fed into the AI software, which teaches itself to distinguish between different objects. The AI software is capable of detecting a variety of weapons, from pistols to shotguns, rifles, knives to explosives, as well as other objects in a crowd.
For example, it is already possible to incorporate AI security features that prevent a weapon from firing at certain wrong targets, such as firing at targets that the AI system does not classify as enemies, reducing collateral damage, and preventing enemies from using friendly weapons.
Of course, none of these technologies could replace the possibility of banning the sale of military-grade weapons. But artificial intelligence and data analysis could also help price insurance so that guns don’t become unaffordable for too many Americans.
Right now, the NRA and gun manufacturers harass gun dealers trying to sell guns, but in an extremely competitive firearms industry that requires more marketers, an added benefit is to get to the market first and forget about marketing.
You enter Arcarithm, a new technology company that uses artificial intelligence to identify guns in a video feed with 99 percent accuracy. The AI algorithm on the ZeroEyes platform constantly scans the camera frame for weapons and is able to identify a variety of weapons. By using a cloud-based communications platform, the company’s ability to identify firearms within seconds is more than twice as accurate as traditional video surveillance systems. Ar Carcarithsm has successfully used AI to automatically detect the presence of weapons in manned and unmanned aircraft, as well as military vehicles and manned aircraft.
Israel’s use of AI as a tool for the military will increase rapidly in the near future, “expects Dr. Yossi Ziv, Director of Research and Development at Arcarithm, the company’s chief technology officer.
Although the United States and major states have not introduced autonomous weapons to find and kill people, they do not appear to be being introduced by any major state, and the necessary technology is already available. However, the use of robots in military space is also driven by the same technology that drives the use of bots in commercial space. While it is hard to believe today, robots with the influence of artificial intelligence can accomplish many of the tasks that humans do today, many of which could eventually be used by military robots.
Governments around the world are investing in the way artificial intelligence works in their industries, from health care to finance and beyond.
Some even call for a ban on killer robots, restricting AI research to civilian use. So good – that is, it seems to ignore the fact that many of the technologies that are most aimed at preventing autonomous machines that indiscriminately kill people already exist.
At Patriot One, several have announced plans to use AI to detect weapons by scanning surveillance footage. BELlevue, WA – Virtual eForce has made its offer, even though the solution can only detect a weapon in sight and cannot detect any hidden weapons.
It has reportedly stopped firing and is acting as a self-proclaimed target for the US Army, Navy, Air Force and Marine Corps.
How properly AI can be applied to the firearms industry is largely uncharted territory. Although it looks like an obvious application of the technology to detect firearms, there are many other uses for AI in the fight against gun violence, such as the use of artificial intelligence to fight terrorist attacks and other forms of violent crime, and for gun control. Because additive-manufacturing firearms are currently much more expensive than their traditional counterparts, it is necessary to create an appropriate regulatory framework for the development of artificial intelligence and its use in the firearms industry. Given the high level of interest in gun and ammunition companies in this area of research and development, it is important, in light of the recent spate of mass shootings in recent years, to help our readers understand exactly how they receive their financial support and why their wealth is increasing in the wake of these mass shootings.
This guide explains what machine learning is and how it relates to artificial intelligence. More than any other AI technology, facial recognition has clearly shown how AI tools can be perverted into weapons.