In the project, we are using the object detection code using Twilio and Yolo in Python. This is the base code for capturing any object, whether it is an animal, human, or nonliving object. This detection is possible since we already trained the AI in the code by providing a list of objects and classifications to detect.
This code implements a home security system that leverages a DIY approach to enhance security and reduce predictability.
Instead of relying on traditional CCTV cameras, this system utilizes a user's existing smartphone as the primary surveillance device. This "camouflaged" approach minimizes the risk of the surveillance system itself becoming a target for theft.
Object Detection: Employs the YOLOv3 algorithm for real-time object detection within the smartphone's camera feed.
Sound Detection: Monitors for suspicious sounds using the smartphone's microphone.
AI-Powered Alerts: Triggers alerts via SMS and voice notifications when potential threats (e.g., "person" detected) are identified.
Data Storage: Stores captured images and video footage directly on the source device (smartphone) for further analysis or review.
Enhanced Security: Proactive detection of intruders and potential threats.
Cost-Effectiveness: Leverages existing smartphone hardware, minimizing upfront costs.
Increased Discreetness: Minimizes the visibility and vulnerability of the surveillance system.
DIY Flexibility: Allows for customization and adaptation to individual needs and preferences.
Through this project, we created self-security in our own house and room. Anybody can build this system by creating a DIY project e.g. the system code requires a camera for detection. Nowadays CCTV cameras are too predictable and noticeable. The solution to this first-hand problem is to take your phone which contains a camera. Well it is like a blueberry phone or an old button-press Nokia phone which will probably not get stolen from the house. The phone must be placed in as a camouflage such that no one will suspect a thing and we will provide the detection through SMS to the user and the photos and videos will be stored in the source device for the system. Let the system run overnight or days in your local server e.g. laptop or pc.
This innovative approach provides a user-friendly and adaptable solution for home security, emphasizing proactiveness and minimizing the visibility of traditional surveillance systems.
