Survey on Automatic Temperature and Face Detection using AI

The artificial intelligence is a computer expertise which thinks like human being and it does not need human intellect. The artificial intelligence could be categorized as: (i)Reactive machine, (ii)Machines with limited memory, (iii)Machines with a theory of mind, and (iv)Machines with self-awareness. The different applications of artificial intelligence are speech recognition, robot process automation, decision management, etc. The input given is in the form of images, videos, and sound data. The image, video is taken using high-resolution cameras like conventional thermal camera, visible IP camera, and AI-enabled thermal camera. With the advent of artificial intelligence variety of automated detection like thermal temperature detection, infrared temperature detection, mask recognition detection, computer vision was introduced and used. This survey presents a methodical assessment of artificial intelligence methods used in the detection and recognition of face and also for testing fever. A series of algorithms like independent component analysis, local binary pattern histogram, ADA boost cascade, squirrel search, HOG ,face detection and recognition in the literature. This paper highlights the automatic detection of body temperature, facial temperature and room temperature using artificial intelligence as an effective endurance. Persons with fever in public places could be identified and proper action could be taken in advance. This study is expected to provide researchers in AI a general idea of the present the current state of AI applications and inspire them in exploiting In the fight against illnesses like COVID-19, AI has a lot of promise.