Enhancing City-Wide Surveillance Infrastructure

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

Objective:

• Establish a unified surveillance network by integrating all 800 city cameras with those in shopping centers.

Benefits:

• Unified Surveillance: Centralized monitoring provides a comprehensive view of all critical city areas, enhancing situational awareness.

• Cost Efficiency: Reduces operational costs by eliminating multiple, disparate systems.

• Enhanced Coverage: Expands the surveillance network to high-traffic and high-risk areas, minimizing blind spots.

2. AI-Driven Facial and License Plate Recognition

Objective:

• Deploy AI-powered facial and license plate recognition to identify persons and vehicles of interest in real-time.

Benefits:

• Proactive Crime Prevention: Enables law enforcement to intervene before crimes occur.

• Efficient Monitoring: Reduces officer workload, allowing for more effective resource allocation.

• Data-Driven Policing: Generates valuable analytics to optimize security strategies.

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

Objective:

• Implement an alert system that notifies security personnel when wanted individuals or suspicious vehicles are detected.

Benefits:

• Rapid Response: Immediate alerts improve response times and aid in suspect apprehension.

• Targeted Surveillance: Ensures security resources are used efficiently.

• Improved Coordination: Enhances communication and collaboration among law enforcement units.

4. Edge Computing for Immediate Data Processing

Objective:

• Deploy edge computing infrastructure to ensure real-time data processing and eliminate network delays.

Benefits:

• Reduced Latency: Local data processing ensures critical information is available instantly.

• Scalability: The architecture allows for easy system expansion.

• Resilience: Decentralized computing enhances system reliability and security.

5. User-Friendly Interface and Automated Alerts

Objective:

• Develop an intuitive, automated system that delivers alerts via preferred channels such as email, SMS, WhatsApp, or internal applications.

Benefits:

• Ease of Use: Simplifies system operation and minimizes training time.

• Automated Alerts: Ensures critical information is delivered promptly.

• Customizable Notifications: Tailored alert channels enhance operational flexibility.

Proposed Solution

A. Monthly Fee-Based Service Package

BSTsecurity proposes a subscription-based security solution that includes:

1. Facial and License Plate Recognition

• Real-Time Identification: Continuous monitoring and identification of persons and vehicles of interest.

• Forensic Analysis: Enables post-incident investigation using recorded data.

2. Edge Computing Infrastructure

• Immediate Data Processing: Local data processing ensures real-time availability of critical information.

• Scalability: Easily expandable system to integrate additional cameras and networks.

3. Meshed Network Architecture

• Resilience: Ensures continuous system functionality even in case of partial network failures.

4. User Interface and Alerts

• Automated and Customizable: Intuitive dashboard with real-time alerts delivered via multiple communication channels.

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.