What is AIAS?

AIAS (APRIL Image Analytics Software) is a sophisticated enterprise solution tailored to optimise and automate the image processing and analysis pipeline for remote sensing image analysts. It encompasses a complete end-to-end workflow, including annotation, deep learning model training, object and structure detection, and the generation of comprehensive reports from satellite imagery. AIAS provides a robust library of pre-trained artificial intelligence models, as well as a wide array of advanced image processing and GIS tools, all of which are designed to improve image analysis efficiency and facilitate the creation of detailed analytical reports.

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  • An intuitive tool for efficient labelling and categorization
  • Advanced tools like auto annotation, data merging and GIS tools

Annotation

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  • A user-friendly interface for constructing and refining intricate models, facilitating precise data insights and predictions

Model builder

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  • Ensures seamless image inference, enabling you to effortlessly apply your refined models to new data

Inference

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  • Report generation tools
  • Customizable template based on user requirements

Report generation

Features

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Visualise
Large Images

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Client-server
Architecture

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OGC Standard
Compliant

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Completely
Offline

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AI-Powered
Assistive Tools

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Role Based
Access

Overview of All Modules - Image Analytics Software

 

APRIL Software Pricing Structure

Single license for 30 days trial

  • All modules present
  • Restricted usage
  • Pay after trial
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Best for individual and single deployments

  • Single license
  • Pay per license
  • All modules
  • Training and support
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Recommended solution for multiple users in the same institution

  • 10 licenses
  • All modules
  • Training and support
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Analytics on request

  • Tailor-made reports for your unique requirements
  • GEOINT reports over an selected AOI
  • Flexible frequency
  • pay per report
  • consultation and support
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Success Metrics - 100% secure (On-premise deployment)

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Highly accurate
AI model

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Intense library used in
AI model training

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Efforts saving, Highly
precision output with
less recall
+
Automation
in report generation

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Automated training
data preparation
~70% automation
in annotation process

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Embedded image
processing techniques
to enhance image datasets
(Adding/ removing noise in images)