Detection and classification of public security threats in the Philippines using neural networks

• Main Authors: Guillermo, Marielet, Tobias, Rogelio Ruzcko, De Jesus, Luigi Carlo, Billones, Robert Kerwin, Sybingco, Edwin, Dadios, Elmer P., Fillone, Alexis
• Format: text
• Published: Animo Repository 2020
• Subjects: Electronic surveillance; Neural networks (Computer science); Closed-circuit television; Human security; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1740; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2739/type/native/viewcontent
• Institution: De La Salle University

Life being put into jeopardy when in public has always been Filipinos' concern. While there are reinforcements of laws, and common practices taught, these are no more than just band-aid solutions to the problem. With the immediate detection and classification of common public security threats t...