This project, Automated Security Surveillance System, revolutionizes traditional security gate management by leveraging modern technologies such as face recognition and number plate scanning to decrease the manual work at the security gates of institutions.
Face Recognition: This employs facial recognition algorithms to accurately identify individuals approaching the gate.
Number Plate Scanning: The system captures images of vehicle number plates as they approach the gate. It records and stores vehicle information, enabling efficient monitoring and management of vehicles entering the security gate.
Automated Data Logging: It automatically logs details of recognized individuals and vehicle plates along with the date, time, owner details and vehicle model into an organized Excel sheet automatically, eliminating the need for manual data entry. This feature ensures accurate record-keeping and facilitates easy retrieval of access history for security analysis and auditing purposes.
Modules Required : opencv-python numpy datetime requests openpyxl
The required modules will be automatically installed and the project will run if the 'securitysystem.bat' file is opened.