Название: Computational Vision and Bio-Inspired Computing: ICCVBIC 2020
Автор: S. Smys, Joao Manuel R.S. Tavares, Robert Bestak
Издательство: Springer
Год: 2021
Страниц: 857
Язык: английский
Формат: pdf (true)
Размер: 33.5 MB

This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Smart Surveillance System by Face Recognition and Tracking Using Machine Learning Techniques: With the recent technological advancements, the theft and other such unnecessary activities can be controlled. At present, many traditional security systems are available to just record the situation, but the unnecessary activities will be already taken. The main objective of this research work is to control and stop the theft by tracking the burglar face or the stranger face image and send the notification to the owners. This system will not only alert the owners, and it can also give access to the door lock with the face recognition feature. In this way, the proposed system replaces the traditional security system with the feature like RFID, PIN method, etc. The accuracy of the proposed system is high, and it works in all the situations, where it can be operated with both battery and main power system. The system has its own database to recognize the person, and the person with registered facial image can only be given access to the door. The developed system has a low powered device with high accuracy system. Moreover, it also helps to reduce the unnecessary activities.