Komatsu is developing a system of artificial intelligence to be used in large-scale construction sites. The artificial intelligence is being developed in an attempt to gather more data on the heavy equipment used in the construction sites and, more importantly, to increase the safety to equipment operators and ground personnel. Komatsu is one of the world’s leading manufacturers of heavy equipment, mining equipment, and other construction equipment. Komatsu is developing the artificial intelligence system along with NVidia, who is well-known as a computer hardware developer in industries such as commercial, retail, and medical. The construction artificial intelligence system, dubbed SmartConstruction, will have the capability to control heavy equipment and can identify and distinguish between ground personnel, inanimate objects, and heavy equipment around the entire construction site.
Komatsu will be using NVidia’s Jetson computing platform as a basis for the artificial intelligence development. The Jetson platform is very small, about the size of a credit card, and powerful to compute virtual surroundings taken from the individual cameras used in all of Komatsu’s construction equipment. In addition to ground level cameras, drones will be used overhead the construction site to provide real-time updates as to local positioning of resources, equipment, and personnel. The drones will be operated by SkyCatch, another feature provided by NVidia as part of their Inception Program Startups.
The first locations to use the new artificial intelligence technology will be in Japan, where an aging workforce and lack of qualified labor bring strong demand for computer-controlled equipment. In Japan, the technology will be fine-tuned and validated. However, the entire world will benefit from the new technology and after test runs are completed, the AI technology will be released worldwide.
Komatsu is anticipating that SmartConstruction will decrease the dangers typically found in construction and mining work sites, all while increasing productivity and reducing costs to the end-users.
-taken from www.sae.org