Search and Rescue Image Recognition

SAR Technology Inc.

Search and Rescue Image Recognition software by SAR Technologies.


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’
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.


#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 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


#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.


#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
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


#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.