Security Surveillance and Intelligence Alerting System for Crime Control and Prevention Using Multiple Representations Approach (SSIASCPMRA)

• Author(s): Olojido Joseph ; Aluko Augustine Oli ; Ologunagba Grace ; Ojajuni Olowatoyin James ; Oladimeji Banji Julus
• Paper ID: 1705060
• Page: 312-317
• Published Date: 23-09-2023
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 7 Issue 3 September-2023

Abstract

Policing and security surveillance of our environment as the world evolving is beyond sticking to the old traditional method of human monitoring and placing surveillance on our surroundings for security alertness. The two major challenging factor is securing an environment are the surveillance methodology and identification of a suspect or intruder. Effective human surveillance for 24 hours daily has proven non achievable over the year. Identification of an intruder or suspect by human has several limitations such as difficulty in memory management when data sets are in large number, wide error merging in comparism within objects of similar resemblance, low processing speed among others. Information technology based knowledge in assisting human in security surveillance will improve the watchman job. The development of a security surveillance and intelligence alerting system for crime control and prevention using multiple representations approach will solve several shortcomings of human method of security surveillance. Our model was developed to capture and recognize object in both digital and non-digital format, perform required security checks and alert the command center in real time. In the process of developing our system, active shape model, low level analysis model, motion base model, feature analysis model, constellation method, linear sub space method and statistical approach method were adopted while Djisktra’s algorithm was considered to enhance real-time system performance due to multiple implementations of several complex algorithms involved. The use of PDA object analyzer, Microsoft Visual studio, MySQL database was used as developmental tools during implementation.

Keywords

PDA object analyzer. Algorithms, MySQL, Model, Biometrics.

Citations

IRE Journals:
Olojido Joseph , Aluko Augustine Oli , Ologunagba Grace , Ojajuni Olowatoyin James , Oladimeji Banji Julus "Security Surveillance and Intelligence Alerting System for Crime Control and Prevention Using Multiple Representations Approach (SSIASCPMRA)" Iconic Research And Engineering Journals Volume 7 Issue 3 2023 Page 312-317

IEEE:
Olojido Joseph , Aluko Augustine Oli , Ologunagba Grace , Ojajuni Olowatoyin James , Oladimeji Banji Julus "Security Surveillance and Intelligence Alerting System for Crime Control and Prevention Using Multiple Representations Approach (SSIASCPMRA)" Iconic Research And Engineering Journals, 7(3)