Enhancing City-Wide Surveillance Infrastructure

Introduction

Modernizing and enhancing a city-wide surveillance infrastructure is critical for ensuring public safety and crime prevention. An example of 800 cameras deployed across the city, alongside additional surveillance systems in shopping centers, the need for an integrated approach has become evident. A jewelry store theft exposed significant vulnerabilities, particularly the fact that an estimated 50% of these cameras are non-functional. This highlights the necessity of a comprehensive solution that not only integrates existing systems but also upgrades and optimizes the city’s surveillance capabilities.


Project Goal

This initiative proposes a scalable, AI-powered surveillance solution designed to integrate the city’s cameras with those in shopping centers, enhancing the ability to identify individuals, vehicles, and motorcycles in real-time. The system will incorporate facial recognition, license plate recognition, and a robust alert mechanism to proactively track and identify persons of interest. By shifting from a reactive to a proactive crime prevention model, the city can significantly enhance public safety. The municipality will fund this software through a subscription-based model.

Key Objectives and Benefits

1. Integration of City and Shopping Center Cameras

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2. AI-Driven Facial and License Plate Recognition

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3. Real-Time Alerts for Persons of Interest and Suspicious Vehicles

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4. Edge Computing for Immediate Data Processing

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5. User-Friendly Interface and Automated Alerts

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Proposed Solution

A. Monthly Fee-Based Service Package

BSTsecurity proposes a subscription-based security solution that includes:

1. Facial and License Plate Recognition

2. Edge Computing Infrastructure

3. Meshed Network Architecture

4. User Interface and Alerts

B. Optional Hardware Upgrades

While the system is designed to maximize existing infrastructure, additional hardware upgrades, such as replacing non-functional cameras or adding advanced sensors, can further enhance surveillance capabilities.

Conclusion

This AI-driven city-wide surveillance solution offers a scalable, integrated approach to crime prevention and public safety. By modernizing the existing infrastructure, implementing facial and license plate recognition, and utilizing edge computing, the system enables law enforcement to shift from reactive to proactive security measures.

Funded through a subscription-based model, this solution provides municipalities with cutting-edge tools to monitor and secure the city effectively, ultimately reducing crime rates and enhancing public safety. With its resilience, scalability, and ease of use, BSTsecurity’s surveillance system ensures a safer environment for all residents and visitors, positioning the city at the forefront of modern security technology.