Real-Time Object Detection with Webcam

This project demonstrates real-time object detection using a webcam. It uses the SSD MobileNet V2 model pretrained on the COCO dataset to detect objects in the camera stream. When the model detects a specific object (in this case, "people"), it plays a sound.

Prerequisites

• Modern web browser supporting navigator.mediaDevices.getUserMedia().
• Audio file to play when the object is detected.

Usage

1. Clone this repository to your local machine.
2. Ensure you have an audio file (e.g., test.mp3) in the project directory.
3. Open index.html in your web browser.
4. Allow access to your webcam when prompted.
5. The camera stream will start, and the model will begin detecting objects in real-time.
6. If a specified object (e.g., "people") is detected, a sound will be played.

How it Works

• The project uses the cocoSsd object detection model, which is loaded asynchronously using cocoSsd.load().
• The webcam stream is obtained using navigator.mediaDevices.getUserMedia().
• The video feed from the webcam is drawn onto a canvas element.
• The canvas image data is fed into the object detection model to detect objects in the video frame.
• If a specified object is detected (e.g., "people"), a sound is played.
• Object detections are displayed in real-time on the webpage.

Customization

• You can customize the object to be detected by modifying the condition in the processVideoFrame() function.
• Adjust the volume of the sound played by modifying the audio.volume property in the playDogBarkSound() function.
• Ensure that your audio file is in the correct format (e.g., MP3) and located in the project directory.

Credits

• This project utilizes the COCO-SSD model for object detection.
• Audio file sourced from [your_source_here].

License

[License information here, if applicable.]