Artificial intelligence and its future.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics, and IoT, and it will continue to act as a technological innovator for the foreseeable future.
Employing machine learning and computer vision for detection and classification of various “safety events,” the shoebox-sized device doesn’t see all, but it sees plenty. Like which way the driver is looking as he operates the vehicle, how fast he’s driving, where he’s driving, locations of the people around him, and how other forklift operators are maneuvering their vehicles. IFM’s software automatically detects safety violations (for example, cell phone use) and notifies warehouse managers so they can take immediate action. The main goals are to prevent accidents and increase efficiency. The mere knowledge that one of IFM’s devices is watching, Gyongyosi claims, has had “a huge effect.”

If you think about a camera, it is the richest sensor available to us today at a very interesting price point,” he says. “Because of smartphones, camera and image sensors have become incredibly inexpensive, yet we capture a lot of information. From an image, we might be able to infer 25 signals today, but six months from now we’ll be able to infer 100 or 150 signals from that same image. The only difference is the software that’s looking at the image. And that’s why this is so compelling because we can offer a very important core feature set today, but then over time, all our systems are learning from each other. Every customer can benefit from every other customer that we bring on board because our systems start to see and learn more processes and detect more things that are important and relevant.”