AI- and ML-based multimedia processing for surveillance
Deepak Rai, Shyam Singh Rajput, K. V. Arya, Poonam Sharma · Institution of Engineering and Technology eBooks · 2023
Nowadays, surveillance systems are yielding the most critical and large volumes of data in the world from various sources. These data require proper management and analysis to produce relevant security information for modern security operations. However, it is still a challenge for humans to vigilantly monitor these large volumes of surveillance data for security assurance. Considering the upsurge in smart technologies, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), and much more, the present security systems can be equipped with these technologies to radically increase the efficacy of the surveillance systems. The self-learning capabilities of AI and ML technologies make great impact on surveillance systems. This chapter comprehensively discusses the possible amalgamation of AI and ML technologies with the modern surveillance systems that will give them a technological edge. It also discusses all new findings based on object detection, visual sentiment analysis, video analytics, vehicle analytics, tracking people for potential crimes to ensure security for the society. Moreover, the specific types of AI and ML surveillance infrastructure being deployed are also discussed.