Search and Rescue Image Recognition

SAR Technology Inc.

Search and Rescue Image Recognition software by SAR Technologies.

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SAR Technology Image Recognition – Image File Details

#1. Image Recognition Uploads – Details.
#2 Aerial-Images Processing – Pre-Segmentation.
#3. Image Recognition Service – Image Categories.
#4. Image Recognition Service – User Registration.
#5. Image Recognition Search – User Procedure (for registered users).

#1. Image Recognition Uploads – Details:
Still Images (jpg or png):
Large, very high resolution (300 dpi or higher) images are preferred, especially for aerial images.
Recommended min-max image size:
– JPG & PNG: 200KB to 400KB e.g: 512 x 512 pixels (262,000 pixels) minimum .jpg files.
– ** Copies of very large image files should be reduced to 400MB max before image recognition. **
– A maximum of 200 images are recommended for batch-recognition at one time.

Video Images:
Convert the videos to image files and then upload the still images for recognition:
Conversion Example: Using ‘Free Video to JPG Converter’
https://www.dvdvideosoft.com/products/dvd/Free-Video-to-JPG-Converter.htm
Original MP4 video file size: 3529 MB (13 minutes duration)
Converts to 159 (0.5MB) .jpg files (Total 76 MB) at a 5 second image extraction interval.
Converts to 266 (0.5MB) .jpg files (Total 152 MB) at a 3 second recommended image extraction interval.

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#2. Aerial-Images Processing – Pre-Segmentation.
For aerial images i.e. from drones, helicopters and aircraft, the target may appear very small within the whole image.
– Fly steadily at the very lowest safe altitude to make the target as large as possible within the images.
– Take very high resolution still images (every 2-30 seconds, see Flight Plans below).
– Use image stabilization to minimze blur.
– Keep a careful record of the exact location where each image was taken (Set camera GPS Location On).
Image segmenting programs, such as TileMage Image Splitter http://tilemage.50webs.com/ may be used to segment these
large-area images into smaller image segments e.g. into a 10×10 image grid of a 100 smaller sub-images.
This will help the image recognition to correctly find the target within each sub-image.

Image Segmentation Guidelines (for maximum aerial image recognition):

Image-Recognition Segmentation

Image Recognition Flight Plans (for maximum area coverage):

Image-Recognition Flight Plans

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#3. Image Recognition Service – Image Categories:

1. Crashed Aircaft:
– Search by selecting the ‘Crashed Aircraft’ category.

2. Crashed Helicopters:
– Search by selecting the ‘Crashed Helicopter’ category.

3. Persons:
– Search by selecting the ‘Persons’ category.

4. Color Recognition:
– Search by selecting the ‘Color’ Image Category.
– The ‘Color’ category displays the image’s dominant-colors scores.

5. Missing Vessels:
– Search by selecting the ‘General’ Image Category.

6. General Image Recognition:
– Search by selecting the ‘General’ Image Category.

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#4. Image Recognition Service – User Registration

To use SAR Technology’s Image Recognition first register as a SAR Technology User:

User Registration:
From the SAR Technology Home page http://www.sartechnology.ca/
Goto Consultation… User Registration and register as a user:

User Registration

Once your registration request has been received and approved you will be sent
a temporary login password that will permit you to Login:

User Login

You may then change your Password and User Profile:

User Profile

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#5. Image Recognition Search – User Procedure (for registered users)

Goto SAR Technology… Mission Services… Image Recognition-Login webpage:

Image Recognition – User Login

On the Image Recognition webpage:
Select the required image category.
– Crashed Aircraft
– Crashed Helicopters
– Missing Persons
– Color
– Vessels
– General

– Upload a known Target Image to the viewer (optional)
Displays a known target image for comparison to the image recognition Search Results table (e.g for appearance or color).

– Upload up to 200 local image files (jpg or png) for recognition (max 400KB image size).
– Enter the image recognition %Threshold (optional) – leave blank to display all the uploaded images.
– Enter the image-folder filepath (optional) – but useful for permanent documentation.

Click ‘Predict Image Files’.
The uploaded images, their Image Recognition (%) Score and file Details will then be displayed in the Search Results table.
The file Details include the image Filename, FileSize, Date/Time Created and the local Image-Folder Filepath (if entered).
The search results table may be sorted by Score or by Details (filename).

An Image Recognition Score of 90% or more is considered good.

The Image Recognition webpage and its Search Results table may be printed (e.g. to a PDF file) for permanent documentation.

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