ARTIFICAL INTELLIGENCE IN BUILDING CONSTRUCTION

Artificial intelligence is the ability of computer systems to perform tasks which otherwise need human brain. Those tasks include visual perception, decision- making, speech recognition and translation between languages. Large amount computing resources is required to traditionally design and optimize complex civil structure in traditional method. This can be effectively eased by using intelligent systems. Safety can be defined as absence analyzing the safe and unsafe conditions in a construction sites and thereby it will help in reducing the accidents at the construction sites to an extent. Once the Al model is being developed by proper training it can be integrated with BIM model forof danger or eliminating the situations that I could be fatal. As construction industries working environment is very complex and thousands of workers are being injured or killed in accidents every year, so safety needed to be taken into consideration. There is a high need of monitoring the workers and warn the construction workers at the site. The process of safety should start from planning stage itself. Building Information Modeling (BIM) can also help to improve the safety planning in a construction sites. BIM helps in checking the clash detections that can occur while construction and many safety hazards at that time can be avoided by planning for it beforehand. Since manual checking may cause some error a real time detection of behavior of the workers may help to reduce the accidents in the construction sites. With the help of Al (Artificial intelligence) safety in construction sites can be monitored at ease. Computer vision is used for developing the model for safety. By training the model by a quantum amount of images our model will help in earlier planning. This research presents a novel method for the real time detection of unsafe act and unsafe conditions of workers using Artificial Intelligence.