TrackDeep
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About
TrackDeep provides autonomous Counter-Unmanned Aircraft Systems (C-UAS) designed to monitor airspace in real-time. The platform utilizes artificial intelligence to identify and track drone-related activity across different environments. By integrating multiple sensor inputs, the system creates an operational overview, allowing for the detection of drones and the localization of their pilots. This level of situational awareness is intended for the security of sensitive zones where traditional monitoring systems might be insufficient or fail to provide adequate warning. The system functions through several core modules: CityDOME, C2 Platform, Observer, and FoxHUNTER. These solutions work together to provide comprehensive aerial surveillance. The C2 (Command and Control) platform acts as the central hub, processing data from various hardware sensors to classify objects with precision. Unlike manual monitoring, the AI-driven approach is designed to distinguish between drones and other moving objects like birds or manned aircraft. The real-time nature of the tracking allows security teams to monitor incursions as they occur, providing a continuous feed of data regarding the flight path and behavior of the detected drone. TrackDeep is primarily used by operators of critical infrastructure, public safety organizations, and defense agencies. It is applicable for protecting power plants, airports, government buildings, and large-scale public events where unauthorized drone activity could pose a safety or privacy risk. The inclusion of pilot localization features enables users to identify the location of the individual operating the drone, not just the drone itself. This capability is used by law enforcement for forensic analysis and active security enforcement during an incident. The platform focuses on autonomous operations and high-speed data processing. It uses machine learning models trained to handle data from urban and high-clutter environments where signal interference can be a challenge. The system is designed to be scalable, with options for fixed installations at permanent sites or mobile units for temporary deployment during events. Based in Tallinn, Estonia, the company provides tools for monitoring the evolving landscape of aerial activity through its specialized detection and tracking modules.
Pros & Cons
Provides precise pilot localization to identify the source of unauthorized flights.
Uses AI classification to reduce false positives from birds or other aircraft.
Offers specialized modules like CityDOME for high-clutter urban environments.
Supports real-time detection and tracking for immediate response to threats.
Includes a centralized C2 platform for managing multiple sensor inputs.
Does not list specific pricing or plan structures on the public website.
Requires a direct demo request to understand hardware integration requirements.
Use Cases
Airport security teams can use the C2 platform to detect drones in restricted airspace and locate the pilots for law enforcement.
Event organizers for large public gatherings can deploy CityDOME to ensure aerial safety and monitor for unauthorized surveillance.
Infrastructure operators at power plants can implement fixed Observer modules to maintain a 24/7 autonomous watch over sensitive perimeters.
Platform
Task
Features
• real-time tracking
• autonomous monitoring
• multi-sensor data integration
• object classification
• citydome urban protection
• c2 (command and control) platform
• pilot localization
• ai-powered drone detection
FAQs
What is the primary function of TrackDeep?
TrackDeep provides an autonomous system for detecting, tracking, and localizing drones and their pilots in real-time. It is designed to protect critical infrastructure and public spaces from unauthorized aerial activity.
Can it distinguish between a bird and a drone?
Yes, the platform uses AI-powered object classification to differentiate between drones and other objects like birds or manned aircraft. This helps reduce the frequency of false alarms for security personnel.
How does the pilot localization feature work?
The system analyzes signals and telemetry to determine the location of the person operating the drone. This allows law enforcement to address the source of the threat directly.
Who is this tool designed for?
It is intended for defense agencies, public safety organizations, and managers of critical infrastructure like airports or power plants. The tool helps these entities maintain secure airspace.
Job Opportunities
Back-end developer
Protect critical infrastructure and public spaces from unauthorized aerial threats using AI-powered real-time drone detection, tracking, and pilot localization.
Benefits:
Competitive salary and benefits
Flexible, hybrid work model
Work on groundbreaking, patent-pending technology
Culture focused on growth and innovation
Professional development opportunities
Experience Requirements:
Strong proficiency in Python and/or C++
Solid understanding of data processing techniques and machine learning algorithms
Experience with Linux-based systems
Strong problem-solving skills and analytical thinking
Other Requirements:
Expertise in data processing and machine learning
Familiarity with radar and RF technology
Knowledge in web development tools like Javascript
Experience in image segmentation
Prior exposure to research and development projects
Knowledge of drone technology and piloting
Knowledge of geospatial data
Web development experience
Responsibilities:
Design and implement machine learning models tailored for drone pilot detection
Develop and optimize algorithms related to image segmentation and radar technology
Contribute to the development of the DOLIM solution
Test, validate, and improve models in real-world scenarios
Offer insights and strategies to refine and advance technologies
Show more details
Front-end developer
Protect critical infrastructure and public spaces from unauthorized aerial threats using AI-powered real-time drone detection, tracking, and pilot localization.
Benefits:
Competitive salary and benefits
Flexible, hybrid work model
Work on groundbreaking, patent-pending technology
Culture focused on growth and innovation
Professional development opportunities
Experience Requirements:
Strong proficiency in JavaScript and/or TypeScript
Solid understanding of data streams, canvas graphics and DOM
Experience with at least one major JS/TS frameworks (React, Angular etc.)
Experience with Linux-based systems
Strong problem-solving skills and analytical thinking
Other Requirements:
Expertise in creating complex GUIs, WebGL and datastreams
Knowledge in back-end languages like Python or PHP
Prior exposure to research and development projects
Knowledge of drone technology and piloting
Knowledge of geospatial data and map applications
Knowledge of Google Maps and/or Leaflet
Responsibilities:
Work closely with the design team to design and implement front end mechanics
Contribute to the development of air traffic management solutions
Test, validate, and improve front end for smooth user experience
Offer insights and strategies to refine and advance technologies
Show more details
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