Real-Time Object Detection and Audio Announcements Using OpenCV and YOLO

In this video, we demonstrate a powerful real-time object detection system that uses a mobile camera feed. By leveraging the YOLO (You Only Look Once) model and OpenCV, we can detect various objects with high accuracy. Additionally, the system uses text-to-speech to announce the detected objects, providing an interactive experience. Watch the video to see how we integrate multiple technologies to create this innovative project!

#### Project Highlights:
*YOLO Model Integration:* Learn how to set up and use the YOLO model for object detection.
*Mobile Camera Feed:* Stream video from your mobile camera using IP camera technology.
*Real-Time Processing:* Capture and process video frames in real-time using threading.
*Text-to-Speech:* Implement text-to-speech announcements for detected objects.
*OpenCV and Numpy:* Utilize these powerful libraries for image processing and numerical operations.

#### Links and Resources:
*YOLO Model:* [YOLO: Real-Time Object Detection](https://pjreddie.com/darknet/yolo/)
*OpenCV Documentation:* [OpenCV](https://opencv.org/)
*Text-to-Speech Engine:* [pyttsx3](https://pypi.org/project/pyttsx3/)
*DroidCam:* [DroidCam - Webcam for PC](https://www.dev47apps.com/droidcam/)

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