Closed-Circuit Television (CCTV) is a device generally used for security, and it is widely installed and utilized in shopping malls, grocery stores, offices, industries, housing, factories, transportation units, and other public places. CCTV can be further optimized to integrate facial recognition so as not only to utilize it to document crimes but to detect criminals at large and alert law enforcers via text message on their presence. This research used descriptive and system development methods and employed RAD methodology in developing a CCTV-Based Surveillance System with a face recognition feature. The study explored the application of the thee face recognition algorithms, namely Local Binary Pattern Histogram, Eigenface, and Fisherface. The LBPH algorithm was determined to have the highest face recognition rate, with a 95.92% accuracy rate. The developed system adopted the LBPH algorithm. The validation process was performed to assess compliance with ISO 25010-2015 Software Quality Requirements for the established framework. Ilagan City 's staff and IT experts from the Philippine National Police ( PNP) gave an overall weighted mean of 4.82 with a qualitative definition of Very High Enforcement. This study sought the implementation of the developed system in the PNP to help detect the presence of the criminals in an area and deter crime from happening.