Home Security System
Project Information
- Category: Deep-Learning
- Project date: Jan 2025 - Present
- Project URL: work in Progress
Home Security System: Smart Surveillance
This deep learning project focuses on building an intelligent home security system that goes beyond traditional motion detection. It incorporates object recognition and anomaly detection to alert homeowners to specific events, such as unauthorized entry or unusual activity.
The system utilizes pre-trained convolutional neural networks (CNNs) for robust image and video analysis. Features include real-time alerts to mobile devices, cloud-based recording, and the ability to differentiate between pets, people, and vehicles, significantly reducing false alarms.
Key Features
Intelligent Object Recognition
Identifies people, pets, and vehicles to minimize false alarms.
Real-time Mobile Alerts
Instant notifications sent to your smartphone for detected events.
Secure Cloud Storage
Safely stores video footage in the cloud for remote access and review.
Anomaly Detection
Learns normal patterns to flag unusual or suspicious activities.