Charlas - Monica Limachi: Proyecto Centinela: Seguridad en el hogar usando Raspberry Pi y Tensorflow

Project Centinela focuses on creating a smart home security system using Raspberry Pi and TensorFlow

The system uses cameras and object detection to identify known and unknown subjects in the home environment

Key components include:

• Raspberry Pi hardware
• Small surveillance cameras
• Pre-trained models like Mobile Net V2 and Efficient Net
• Label Box for image labeling/annotation

The workflow involves:

• Collecting and storing photos/images
• Labeling/tagging subjects (household members, pets)
• Training the model to recognize authorized people
• Detecting and alerting about unknown subjects

The project aims to create an affordable, personal security solution rather than using expensive enterprise systems

Uses open-source tools and pre-trained models to make implementation more accessible

System is designed to store and process images locally for privacy/security

The solution automatically identifies and classifies subjects entering the monitored space

Focus is on practical implementation for home use rather than large-scale deployment

Demonstrates how AI/ML technologies can be applied to personal security needs using accessible hardware