The image is a live RGB feed from a depth camera, enriched with overlaid information like distance, frame number, and GPS coordinates. This data helps track and measure object distances in real time. Key Annotations: 1. Center Depth: 125.40 cm Indicates the distance between the camera and the central point in the Region of Interest (ROI). 2. ROI (Region of Interest): The green box highlights the area being analyzed. This ensures the system focuses only on relevant sections, such as an obstacle or nearby surface. 3. Latitude & Longitude: 30.654502, 76.679555 GPS coordinates associated with the current frame — useful for geo-tagging and spatial mapping. 4. Frame ID: 001 Refers to the frame number from the continuous video sequence. 5. FPS: 30.0 Frame rate captured by the camera, essential for smooth real-time performance. 6. Timestamp: 2025-09-10 13:15:13 Synchronization time for accurate data tracking. 7. Measured Distance (Point Marker): 123.5 cm The yellow circle marks a specific pixel on the surface, showing its real-time distance from the camera.

The right-side visualization transforms raw depth data into a 3D point cloud, where each pixel from the left image becomes a spatial data point (X, Y, Z). This 3D model helps visualize how surfaces exist in depth — not just in 2D color space, but as actual 3D structures. Key Observations: 1. Maximum Depth: ~132.40 cm Indicates the farthest distance detected in this frame. 2. Color Map (Depth Scale): The right color bar translates depth values into colors for easier understanding: 3. Axes Representation: I. X-axis: Horizontal position (left ↔ right) II. Y-axis: Forward distance (camera ↔ scene) III. Z-axis: Vertical height (depth from camera)