>> 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
| Date | Time | Location |
|---|---|---|
| November 11, 2023 | 02:34 UTC | Colfax, 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
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!
Telemetry visual capture // Node Optical Sensor
Telemetry visual capture // Node Optical Sensor

