As a species, we have evolved to detect danger or dangerous situations. Non-verbal language is a sign that the other person is nervous or aggressive. Frowning, clenched teeth and clenched fists are some of the signs. Ironically, shoplifters betray themselves by such representations. What if we could analyze and isolate these behavioral patterns using AI systemAfter all, this is the next logical step in our perception of the physical world.? It’s the same principle that enables self-driving cars to avoid accidents. Now, after the latest innovations in facial recognition, technology It looks like it’s ready for another leap forward. scheme announced by. Corticaan Israeli laboratory specializing in autonomous artificial intelligence.
The company is also researching self-driving cars. smart city, whose software is based on neural learning patterns tracked in mice and translated into mathematical formulas. Therefore, their system can learn and predict future events based on the collected data. The latest applications are software Analyze CCTV to detect movement and behavior associated with violent crime and theft. The tool is powerful enough to look at terabytes of information, allowing you to fine-tune your own features while working through them. The ability to detect fraud is based on so-called “micro-representations” that outsmart potential criminals.
“AI algorithms can now detect pedestrian facial expressions and predict criminal behavior.”
The first pilot tests will focus on automotive, educational, smart machine, and technology sector. In the first phase, the software learns to associate pedestrian movements with criminal activity. Soon, we can expect not only individual crimes such as shootings, but also situations where angry mobs turn into violence. But applications go far beyond security on the road, where the technology could be used in driverless taxis that sound an alarm when an attack occurs.
As always, technology is neutral and the outcome depends on who implements it and how. However, when used properly, AI Applied to improve security It helps create safer cities, anticipate dangerous situations and solve them before they happen.
AI vs social media
CCTV camera analytics is just one of many applications. AI in the field of security. Two years ago, the US Department of Justice allocated part of its budget to a program run by Cardiff University in the UK. The purpose of the project is new software Analyze social media data to detect potential danger zones. Researchers found a correlation between crime waves and references to antisocial behavior, littering, and drunkenness in the streets. This association was even stronger than criminal records and census data. The system works by analyzing tweets and verbal attacks alongside his LAPD hate crime data and contrasting them with the violent situations unleashed in the city. The algorithm then learns to predict future outcomes inferred from previous correlations. This allows you to allocate resources to cover potential crime hot spots.
Fuentes: digital trends, IDGMore
