One Shoot In-Door Surveillance Module Based On MCA Associative Memory

Abstract

Several studies and researches had been made to develop In-Door Surveillance module. Most of them had depended on traditional techniques tend to be more complicated. After revolutionary development in Artificial intelligence that simulates the human brain, many industrial companies has started to build more efficient and intelligent surveillance systems depending on artificial intelligence techniques. Thus, this research would deal with an Indoor surveillance module depending on non-traditional techniques, which is Multi-Connect Architecture Associative Memory (MMCA). The proposed module would process any given pre-processed image-stream and decide whether it is secured or non-secured case. This process had been done by training the proposed module with one selected secured image. The study found that accuracy values were between (74.6 – 97.2%). Accuracy was almost around 95% which is considered a promising results in real-time of execution.