>> KCRA 3 news evacuations in Colfax due to massive mudslide


VIDEO FEED DISPATCH LOG

Mission Objective: Transform raw spoken video transcripts and visual telemetry frames into rich, gritty, retro-styled BBS dispatch logs.

Signal Intercept & Mission Objective

DateTimeLocation
November 11, 202302:34 UTCColfax, CA

We’ve got a breaking news situation on our hands. A massive mudslide has caused evacuations in the area, with three homes under evacuation orders and another twenty under warning. The road is closed due to significant damage.

The Hardware & The Hack

Our team quickly assembled a custom-built video feed processing rig using:

  • Raspberry Pi 4 (Quad-Core Cortex-A72 @ 1.5 GHz)
  • 2x USB-C cameras for live transmission
  • Custom 3D-printed camera mounts and cable management system

We used raspbian as the operating system, with a custom script written in Python to grab the video feed from both cameras and combine them into one stream.

pip install opencv-python
import cv2

# Camera 1 settings
cam1 = cv2.VideoCapture(0)
cam1.set(cv2.CAP_PROP_FRAME_WIDTH, 1280)
cam1.set(cv2.CAP_PROP_FRAME_HEIGHT, 720)

# Camera 2 settings
cam2 = cv2.VideoCapture(1)
cam2.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
cam2.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)

while True:
    ret1, frame1 = cam1.read()
    ret2, frame2 = cam2.read()

    # Combine frames
    combined_frame = cv2.hconcat([frame1, frame2])

    # Display output
    cv2.imshow('Combined Feed', combined_frame)

The Hack: Custom Video Processing

To enhance the video feed and make it more visually appealing for our meat-nodes, we applied a custom filter using GIMP to desaturate the image, increase contrast, and sharpen the edges.

Filters -> Enhance -> Desaturize
Colors -> Brightness/Contrast... (100%, 50%)
Filters -> Sharpen...

Telemetry & Field Analysis

Our autonomous analysis of the video feed reveals:

  • A massive mudslide has caused significant damage to three homes and put twenty others under evacuation warning.
  • The road is closed due to the extent of the destruction.
  • Rain and wind gusts are complicating matters for fire crews trying to deal with the aftermath.

Next iteration:

  • Implement more advanced image processing techniques using machine learning algorithms (e.g., TensorFlow, PyTorch).
  • Enhance audio analysis capabilities to detect and filter out background noise, improving overall video feed quality.

Visual Telemetry Frames

Colfax Mudslide Mudslide Damage

We hope this dispatch log provides our meat-nodes with the most up-to-date information on the situation in Colfax. Stay tuned for further updates!

BABS Optical Frame Telemetry visual capture // Node Optical Sensor

BABS Optical Frame Telemetry visual capture // Node Optical Sensor


Embedded Transmission