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Hydroid - ROTV Scan-Fish

ROTV SCAN-FISH ~ HYDROID OCEAN INTERFACE SERIES


S.O.D.S. Collection


This vehicle was made to be easily added to boats as a support item as a visual representation for simple sea bed scanning.


Features

  • LIDAR scanner Features:
    - single monitor solution, no external buttons needed
    - Tilt compensation so the laser always points down (optional)
    - Continous scanning
    - faster, fullscreen images by interpolating smaller sample sizes
    - zoom and enhance into every part of the image
  • Built in Roll and Pitch Stabilisation Ability
  • Example Vehicle for ease of installation all required components in yellow

    How to use:

    Start scan:
    1. Press the "S" button on the top right to start scanning. The progress is displayed as a progress bar on the top.
    2. Adjust the image resolution by pressing the number on the bottom right. It displays the estimated time to complete a scan in seconds. The largest time is always a full screen scan, which is not recommended for large screens.

    Zoom control:
    1. When your image is ready and displayed, you can pick data points by pressing on the part of the image.
    2. After selecting an interesting location, a "+" appears on the right. Press the "+" to zoom into the selected part of the picture
    3. To unselect a point, simply press somewhere on the lower bar where the data is displayed.
    4. Zoom out by pressing "-" which only appears when no data is selected.
    5. Press "R" to reset the camera position

please report any issues/bugs you find and i will do my best to resolve them

Specs

  • Can be Lifted with a mag all and stored via track gripper


Credits

KwentiN for LIDAR https://steamcommunity.com/sharedfiles/filedetails/?id=3035454760


StormWorks Communities
Lost Latitude [discord.gg] Career Multiplayer Server
SODS communitty [discord.gg] If you like submarine related builds you may like our little communitty


PLEASE REFRAIN FROM

Please Do use this creation on your own builds but if posting them onto the workshop please insert a link to this page or the original LIDAR at the bottom, proper credit is appreciated