Latest Detection Example

Detected Car Example

Detection: This sample image shows the system detecting a car with high accuracy.

Detected Class: Car

Confidence: 95%

The system updates automatically when new detections are made by the backend.

How This Page Works

This page acts as a real-time viewer for detection results generated by the object detection backend. When the detection system recognizes a new object—such as a car, person, or traffic sign—the detection result appears here automatically.

  1. Detection Engine (Python + YOLOv8):
    • The backend uses a deep learning model to process images, video, or webcam feeds.
    • Objects like cars, people, stop signs, and more are identified in real time.
  2. API Communication:
    • The Python backend provides an API endpoint (such as /get_data).
    • This page requests the latest detection result from the backend every second, keeping the view up to date.
  3. Dynamic Display:
    • Depending on the detected object, the page updates its message, image, and background color—instantly and without reloading.

This demo is for viewing live detection results only. It is not a standalone website and is meant for demonstration or integration purposes.

Download the Project

Download the full project files, including all detection scripts, model weights, and this viewer page:

Download Project (.zip)