With cutting edge technologies such as computer vision, blockchain and machine learning, Atlas Navi is set to become the leading navigation choice for drivers around the world. Atlas Navi is a navigation app that uses A.I. and the smartphone camera to avoid traffic by detecting road conditions, accidents, traffic in each lane, police vehicles and many more. It analyses the road 25 times per second which generates 100 times better data than other navigation apps; other drivers are routed to avoid areas with problems. Purchase Brand Ambassador NFTs for lifetime royalties when users buy NFT cars from that brand. Brand Ambassador positions are VERY RARE and will likely increase in value.

The M500, Motorola Solutions' AI-enabled in-car video system for law enforcement, introduces advanced analytics to drive operational efficiency, safety and transparency for law enforcement and citizens. The M500, Motorola Solutions' AI-enabled in-car video system for law enforcement, introduces advanced analytics to drive operational efficiency, safety and transparency for law enforcement and citizens. CHICAGO--(BUSINESS WIRE)--Motorola Solutions today introduced the first AI-enabled in-car video system for law enforcement, the M500. The solution is bringing more powerful capabilities to the police vehicle to enhance awareness and safety while building trust and transparency throughout communities. The M500 features new backseat passenger analytics which automatically start the in-car camera recording as soon as an individual enters the back of a police car.

But the application also shows how an autonomous police vehicle could be able to carry out many tasks we associate with human officers. In one scenario, a surveillance camera or roadside sensor documents a speeding vehicle. A signal is relayed through a "central computing system" to the autonomous police vehicle, which is tasked with pursuing the vehicle, tracking its location and capturing video that can be used to analyze the fleeing vehicle's movement. In another, the police vehicle analyzes traffic patterns using machine learning -- a type of artificial intelligence that gives computers the ability to learn without being programmed -- to determine ideal spots for catching traffic violators. Once a hiding spot has been located, the vehicle uses sensors such as lasers, cameras or some combination thereof to monitor traffic in the most efficient way possible, according to the patent.

Imagine a police car that issues tickets without even pulling you over. What if the same car could use artificial intelligence to find good hiding spots to catch traffic violators and identify drivers by scanning license plates, tapping into surveillance cameras and wirelessly accessing government records? What if a police officer tapping on your car window asking for your license and registration became a relic of transportation's past? The details may sound far-fetched, as if they belong in the science-fiction action flick "Demolition Man" or a new dystopian novel inspired by Aldous Huxley's "Brave New World," but these scenarios are grounded in a potential reality. They come from a patent developed by Ford and being reviewed by the U.S. government to create autonomous police cars.

If Ford has its way, a robot could write your speeding ticket in the very near future. The firm recently filed a patent for an autonomous'Robocop' car that can catch speeding drivers by hiding behind trees and buildings. Now, the patent has provoked the ire of both law enforcement and autonomy experts who say the conceptual cop car could raise privacy issues, as well as concerns about abuse of power, among other criticisms. Still, advocates for the technology argue that the driverless police car could actually end up reducing cases of racial bias and improve efficiency in police forces. Ford has filed a patent for an autonomous police car that can catch speeding drivers by hiding behind trees .

Artificial intelligence and drones will be key policing tools in the future amid budget and job cuts, Gwent Police's chief constable has said. Jeff Farrar said he foresees every police vehicle carrying a drone in the years to come and for more computers to do jobs "that do not involve emotion". Gwent has had £50m of funding cuts and still needs to make £9m of savings. It has also lost 300 officers since 2011. But Mr Farrar said the force was recruiting again after a jobs freeze.

Artificial intelligence and drones will be key policing tools in the future amid budget and job cuts, Gwent Police's chief constable has said. Jeff Farrar said he foresees every police vehicle carrying a drone in the years to come and for more computers to do jobs "that do not involve emotion". Gwent has had £50m of funding cuts and still needs to make £9m of savings. It has also lost 300 officers since 2011. But Mr Farrar said the force was recruiting again after a jobs freeze.

Artificial intelligence and drones will be key tools in the future amid budget and job cuts, Gwent Police's chief constable has said. Jeff Farrar said he foresees every police vehicle carrying a drone in the years to come and for more computers to do jobs "that do not involve emotion". Gwent has had £50m of funding cuts and still needs to make £9m of savings. It has also lost 300 officers since 2011. But Mr Farrar said the force was recruiting again after a jobs freeze.

Artificial intelligence and drones will be key tools in the future amid budget and job cuts, Gwent Police's chief constable has said. Jeff Farrar said he foresees every police vehicle carrying a drone in the years to come and for more computers to do jobs "that do not involve emotion". Gwent has had £50m of funding cuts and still needs to make £9m of savings. It has also lost 300 officers since 2011. But Mr Farrar said the force was recruiting again after a jobs freeze.

Gruesome videos of terror-driven killings have grown increasingly common over the years, and, cloaked by a scarf or a hood, the perpetrators can be difficult to identify. Researchers in Jordan have now developed a way to recognize terrorists using a small part of their hands, measuring the characteristics of their fingers when they make the commonly displayed'V' sign. The team trained an AI to identify different'V' signs, using sizes of the fingers and the different shapes and angles created by them to differentiate between people. Gruesome videos of terror-driven killings have grown increasingly common over the years, and, cloaked by a scarf or a hood, the perpetrators can be difficult to identify. Researchers in Jordan have now developed a way to recognize terrorists when they make the commonly displayed'V' sign Researchers say masked suspects could be identified using the shapes of their hands in the'V' sign.