Abstract
Catastrophes like conflagration, noxious gases, chemical leakages, toxic smoke, and mishaps due to unsafe distance from the jeopardous situations are very common in industrial environment. Such calamities can cause colossal fiscal and loss of human lives. Adroit surveillance and early detection of such perilous events can impede the fiscal and social fiasco. In this research, an Industrial Smart Social Agent (ISSA) and Industrial Social Internet of Things (ISIoT) paradigm are introduced which empowers the intelligent objects to interact independently. ISSA entrust every IIoT object to communicate and collaborate with one and all to augment the surveillance in every industrial environment. ISSA controls all intelligent surveillance devices (i.e. sensors, cameras, robots etc.,) for monitoring and uses Machine Learning based Algorithm for event detection. Therefore, the proposed adroit surveillance system accomplishes early event detection resulting in minimum monetary and personnel damage.