PARS

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PARS is a new research & development project, granted within the CENTRIC project, as part of the “Operational Competitivity Program”: Center for knowledge transfer to enterprises in the ICT field, which will be implemented in collaboration with a research team from the Ștefan cel Mare University of Suceava.

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7 months

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€ 120k

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Solution

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Autonomous recognition and support platform

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Surveillance, Reconnaissance, Military/ Defense, Agriculture, Emergency services

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Challenge

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Real-time information from the field, in high risk situations

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Section Name
partnership
Inside Paragraphs
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Image of first reponders getting real-time information from PARS
Type
title
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The Opportunity

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One of the critical problems that first respondents face in high-risk situations is to get real-time information from the field in a fast and safe way. At the same time, the amount of data that is required to be aggregated and filtered is not feasible for a human operative. There is a high risk of human errors that can be mitigated by transferring the macro decisions  and controls to an AI driven software solution.

Drones have been used in the past for recon and support  missions but mostly remotely controlled by human operators.  This creates issues both in scalability and in synchronization between a large number of  entities that operate in the same scenario. For this reason, developing an AI driven swarm not only resolves these issues but also opens new opportunities in solving high risk operations. 

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3
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productFeatures
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title
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High-level components

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PARS is a autonomous recon and support platform envisaged as a solution to assist public authorities in critical situations that call for quick response times, as well as optimal resource coordination and information flow. The proposed solution allows for the fast identification of weak points and the generation of dynamic solutions adapted to the situation on the ground through the implementation of a software and hardware ecosystem made up of a command center and an autonomous swarm of drones.

Image
Image of the PARS Project Autonomous Recognition and Support Platform Drone
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What we worked on:
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title
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VR Application

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subtitle
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Enables manual drone control via peripheral devices like joysticks or keyboards and training for the first respondents in high risk scenarios.

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Command and Control Center

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subtitle
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Creates the bridge between the Swarm AI and the field operatives by processing and transmitting commands from the ML Swarm Agent.

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AI module

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Utilizes a reinforcement learning model to control a group of drones in response to detected hazards or incidents.

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AR Hardware

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Captures and transmits real-time data from the drones to the Image Processing component, enabling interaction with the swarm.

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title
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High fidelity digital twins

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subtitle
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 The system’s accuracy is dependent on the 3D models of the drones and environment for training the AI Swarm.

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title
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Synthetic data generator

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subtitle
Text

Generates synthetic images used for use in the training of the ML algorithm through the image recognition sub-module.

Is it possible that field Label to contains text?
No
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3
Section Name
technologies
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title
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Empowering innovation through cutting-edge technologies

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subtitle
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We leverage advanced technologies to develop robust and efficient mobile and web applications, ensuring top-tier performance and cross-platform compatibility.

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Section Name
technicalChallenges
Inside Paragraphs
Type
title
Text

Noteworthy advancements

Texts

The Image Processing module is separate from the ML Swarm Agent, enabling the training an AI actor to recognize real-life entities using synthetic images as input. A key output demonstrating this approach is the VisioSynthASSISTant tool, which uses Unreal Engine 5 to generate image data with configurable environments, domain randomization, and distractor generation for training computer vision models.

Image
Multiple monitors showing VisioSynthASSISTant tool
Label
Applicable scenarios:
Subsection Paragraphs
Inside Paragraphs
Type
title
Text

Surveillance

Type
subtitle
Text

State-of-the-art surveillance and monitoring applications.

Inside Paragraphs
Type
title
Text

Recon

Type
subtitle
Text

Integrating autonomous drone swarm into  reconnaissance applications.

Inside Paragraphs
Type
title
Text

Defense

Type
subtitle
Text

Research and development of a prototype that would support military scope.

Is it possible that field Label to contains text?
No
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4
Section Name
successHighlights
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title
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Cutting-edge research

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We recommend reading these articles that our colleagues published in peer-approved publications, detailing processes, ideas, and the technology used, such as: Experimental Results on Synthetic Data Generation in Unreal Engine 5 for Real-World Object Detection 2023, 17th International Conference on Engineering of Modern Electric Systems (EMES).

Discover an innovative breakthrough in the world of object detection (OD) algorithms! Our research delves into a groundbreaking method for creating top-notch synthetic training data that fuels the future of OD technology. By harnessing the power of photogrammetry, we seamlessly transform real-world objects into precise 3D digital replicas, all within Unreal Engine 5 (UE5). 

Images
Demo of object detection implementation
Variation
5
Section Name
youtube
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Youtube URL
https://www.youtube.com/watch?v=Fi-71-D2lqA
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title
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Demo Video

Type
subtitle
Text

Disrupting the way simulations are used through strategic actions applicable in multiple fields.

Section Name
projects
Inside Paragraphs
Type
title
Text

From product design to development & completion. We guarantee exceptional products.

View Reference
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Section Name
contact
Inside Paragraphs
Block Reference
Contact
Promoted Image
PARS drone
Application Types
EU Projects
Sub Services
Computer Vision
Digital Twins
Gaming, 3D & VR
Main Activities
UI/UX prototyping
Customer/Partner Country
Romania
Year
2022
Background Color
#ebebeb
OG image
OG PARS
Order
4
Short Description

PARS assists public authorities in critical situations that call for quick response times.

Show On Homepage
No
Technologies
Blender
Houdini
Python
Substance Designer
Unreal
YOLOv8
Main Industries
AI & Machine Learning
Company size
Mid-Sized Business
Company description

PARS is a new research & development project, granted within the CENTRIC project, as part of the “Operational Competitivity Program”: Center for knowledge transfer to enterprises in the ICT field, which will be implemented in collaboration with a research team from the Ștefan cel Mare University of Suceava.

Related Projects
AmbiSense
Trimble
Services
AI/ML & Data Engineering
Cloud & Backend Engineering
Software Development Services
Digital Product Strategy
Intro Description

Autonomous Recognition and Support Platform

Card Country
Romania
Card Industry
R&D
Show Read More
Yes
Brands & Clients
ASSIST
USV
Project Overview Title
Own Product
Is EU Project
Yes
Has all fields translated
Yes

For business inquiries:

Phones
+40-230-521100

Footer Contact Email

Email
hello@assist.ro

Our address:

Input
1 Tipografiei Street 720043, Suceava, Romania

Awards

Input
Awards and recognitions

Copyright

Input
ASSIST Software. All rights reserved. <span>Designed with love.</span>
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