Autonomous Recognition and Support Platform
Starting point
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.
Services
Engagement
Budget
Funding framework
Autonomous recognition and support platform
Surveillance, Reconnaissance, Military/ Defense, Agriculture, Emergency services
Real-time information from the field, in high risk situations
Partners
The Opportunity
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.
High-level components
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.
What we worked on:
Enables manual drone control via peripheral devices like joysticks or keyboards and training for the first respondents in high risk scenarios.
Creates the bridge between the Swarm AI and the field operatives by processing and transmitting commands from the ML Swarm Agent.
Utilizes a reinforcement learning model to control a group of drones in response to detected hazards or incidents.
Captures and transmits real-time data from the drones to the Image Processing component, enabling interaction with the swarm.
The system’s accuracy is dependent on the 3D models of the drones and environment for training the AI Swarm.
Generates synthetic images used for use in the training of the ML algorithm through the image recognition sub-module.
Empowering innovation through cutting-edge technologies
We leverage advanced technologies to develop robust and efficient mobile and web applications, ensuring top-tier performance and cross-platform compatibility.
Noteworthy advancements
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.
Applicable scenarios:
State-of-the-art surveillance and monitoring applications.
Integrating autonomous drone swarm into reconnaissance applications.
Research and development of a prototype that would support military scope.
Cutting-edge research
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).
Demo Video
Disrupting the way simulations are used through strategic actions applicable in multiple fields.
From product design to development & completion. We guarantee exceptional products.
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For business inquiries:
hello@assist.ro
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1 Tipografiei Street 720043, Suceava, Romania
Frequently Asked Questions
1. Can you integrate AI into an existing software product?
Absolutely. Our team can assess your current system and recommend how artificial intelligence features, such as automation, recommendation engines, or predictive analytics, can be integrated effectively. Whether it's enhancing user experience or streamlining operations, we ensure AI is added where it delivers real value without disrupting your core functionality.
2. What types of AI projects has ASSIST Software delivered?
We’ve developed AI solutions across industries, from natural language processing in customer support platforms to computer vision in manufacturing and agriculture. Our expertise spans recommendation systems, intelligent automation, predictive analytics, and custom machine learning models tailored to specific business needs.
3. What is ASSIST Software's development process?
The Software Development Life Cycle (SDLC) we employ defines the stages for a software project. Our SDLC phases include planning, requirement gathering, product design, development, testing, deployment, and maintenance.
4. What software development methodology does ASSIST Software use?
ASSIST Software primarily leverages Agile principles for flexibility and adaptability. This means we break down projects into smaller, manageable sprints, allowing continuous feedback and iteration throughout the development cycle. We also incorporate elements from other methodologies to increase efficiency as needed. For example, we use Scrum for project roles and collaboration, and Kanban boards to see workflow and manage tasks. As per the Waterfall approach, we emphasize precise planning and documentation during the initial stages.
5. I'm considering a custom application. Should I focus on a desktop, mobile or web app?
We can offer software consultancy services to determine the type of software you need based on your specific requirements. Please explore what type of app development would suit your custom build product.
- A web application runs on a web browser and is accessible from any device with an internet connection. (e.g., online store, social media platform)
- Mobile app developers design applications mainly for smartphones and tablets, such as games and productivity tools. However, they can be extended to other devices, such as smartwatches.
- Desktop applications are installed directly on a computer (e.g., photo editing software, word processors).
- Enterprise software manages complex business functions within an organization (e.g., Customer Relationship Management (CRM), Enterprise Resource Planning (ERP)).
6. My software product is complex. Are you familiar with the Scaled Agile methodology?
We have been in the software engineering industry for 30 years. During this time, we have worked on bespoke software that needed creative thinking, innovation, and customized solutions.
Scaled Agile refers to frameworks and practices that help large organizations adopt Agile methodologies. Traditional Agile is designed for small, self-organizing teams. Scaled Agile addresses the challenges of implementing Agile across multiple teams working on complex projects.
SAFe provides a structured approach for aligning teams, coordinating work, and delivering value at scale. It focuses on collaboration, communication, and continuous delivery for optimal custom software development services.
7. How do I choose the best collaboration model with ASSIST Software?
We offer flexible models. Think about your project and see which model would be right for you.
- Dedicated Team: Ideal for complex, long-term projects requiring high continuity and collaboration.
- Team Augmentation: Perfect for short-term projects or existing teams needing additional expertise.
- Project-Based Model: Best for well-defined projects with clear deliverables and a fixed budget.
Contact us to discuss the advantages and disadvantages of each model.
