Though many projects have been proven with pilots and real-case deployments, artificial intelligence (AI) in the security industry is in the relatively early stages and its role in video surveillance is as varied as the vertical markets that implement it. The term itself still has a lot of noise surrounding it and many in the industry shy away from using AI — opting instead for more specific characteristics to define their technology. Integrators must sift through all the noise to find appropriate products for themselves and their customers. To begin, it’s important to understand what’s currently available in the marketplace.
pecific applications — or narrow AI as some experts refer to it — are the biggest products in play for video surveillance right now, because as much as we’d like computers to think completely on their own, they still must be trained to do a specific task and learn from what is fed to them. While AI is the general term used in the industry, machine learning or intelligent analytics, along with more specific types of machine learning, are more apropos terms, say industry experts.
