SurvInet
women safety (project guardian)
Surveillance System Using CCTV and Smart Street Lights
The proposed system leverages CCTV cameras and smart street lights to enhance
surveillance and ensure public safety, particularly for women. The system integrates AI-
driven behavior analysis, gender distribution monitoring, and emergency alert features,
making it a comprehensive tool for safety monitoring.
Data Collection and Behavior Analysis
Through behavior analysis AI, the system monitors individuals’ actions in public spaces.
Key aspects include:
1. Behavioral Observations: The AI detects unusual or threatening behavior in
individuals, especially in scenarios involving women surrounded by men.
2. Gender Distribution Analysis: The system evaluates gender distribution to assess
potential risks.
If suspicious behavior is detected, the system sends an SOS alert to the authorities for
immediate response.
Emergency Features and Manual Intervention
To empower potential victims, smart street lights are equipped with a manual SOS button.
This allows individuals to send alerts directly in case of an emergency. Additionally, a
similar feature enables authorities or users to manually deactivate tracking after the threat
has been neutralized.
Networked Surveillance and Cloud Integration
In certain areas, cameras are connected through a web application and supported by cloud
storage. Key functionalities include:
1. Incident Filtering and Tracking: When an incident is detected, the system isolates
the individual responsible and uploads their image to the cloud, enabling all
connected cameras to track them.
2. Blockchain-Enhanced Data Storage: Incident data is securely stored on the cloud
using blockchain technology, ensuring privacy and data integrity.
Adaptive AI Learning and SOS Triggers
The system employs AI-driven self-learning. If it encounters similar incidents, it
autonomously activates the SOS alert system and notifies authorities. This continuous
learning mechanism enhances the system’s capability to preemptively identify threats.
Safety Hotspot Identification
The web application or mobile app maintains a record of locations where incidents
frequently occur, designating these as “hotspot regions.” These areas are marked in red as
potentially unsafe for women. Additional user features include:
1. User Ratings for Safety: Users can rate their perceived safety of locations they visit,
with the application prompting ratings for those with location services enabled.
2. Infrastructure-Specific Roles: CCTV cameras play a critical role in closed
infrastructural areas, while smart street lights provide coverage in open outdoor
spaces.
Vandalism Detection and SOS Alerts
The system includes measures to detect and respond to tampering. If a camera is
physically attacked or damaged, an SOS alert is automatically triggered to notify
authorities.
