BlackReaper
No target too far, no challenge too great
PROBLEMS
In critical situations such as sudden terrorist or criminal events, military and SWAT are faced with the challenge of lacking effective and immediate sniping response capabilities, due to the complexity of the scenario and the limited availability of response forces.
In the face of a terrorist attack or other tactical intervention scenario, quick response is crucial. However, traditional solutions that are deployed prior to the incident or require transportation from outside the scene can result in critical delays.
Despite the availability of data and real-time surveillance, the information is not effectively transmitted in a timely manner, hindering the ability to effectively warn and respond to the threat.
Today's solutions fail to provide real-time response in complex environments.
The troops are left with limited information until they arrive at the scene and face a delay in studying the area upon arrival.
Today's solutions are inadequate in complex environments and limited by line of sight restrictions.
SOLUTION
Our advanced system enables fast and accurate neutralization of threats in critical incidents, without relying on prior deployment or external forces, and against a wide range of targets.
Our system provides dynamic and accurate immediate shot response against both static and mobile targets. This is achieved through an autonomous drone-based control system that offers detection, investigation, tracking, and locking capabilities. The system is capable of targeting a variety of objects, and precisely hitting the intended impact points
Our system can be mounted on a variety of mobile or stationary ground or aerial vehicles."
VALUE PROPOSITION
THE CORNERSTONE OF OUR INNOVATION
Detecting objects in crowded scenes can be a challenging task, especially when people gather and overlap with each other, resulting in occlusions known as crowd occlusion. Object detectors are required to locate the positions of different objects within the crowd and accurately delineate their boundaries. To overcome these challenges, we utilize a collection of specialized algorithms that are one of our secret ingredients. These algorithms enable us to locate specific individuals within a crowded scene with a high degree of accuracy.
​Targets Detection
Gathering a large number of people in a shared physical area is a common occurrence in urban culture. However, such large crowds are always prone to public safety issues, making appropriate countermeasures necessary during terrorist attacks. Advances in computer vision-based scene understanding, automatic analysis of crowd scenes, and the ability to use analytics to identify specific individuals in a scene have made these systems effective in crowded environments. In addition, our system employs a collection of specialized algorithms, which are our secret ingredients, for identifying specific terrorists, particularly those carrying weapons.
​Targets Recognition
Object tracking can be a challenging task in crowded scenes. However, with the application of deep learning, the system can take an initial set of object detections, assign a unique identifier to each detection, and track the identified objects as they move across video frames. Object tracking involves the automated identification of objects in video footage and the accurate interpretation of their movements as a series of trajectories.
In our system, we utilize specialized algorithms, which are our secret ingredients, to enhance object tracking, particularly when focusing on a few terrorists in a crowded scene. These algorithms enable our system to achieve a high level of accuracy in tracking and identifying specific individuals amidst the chaos of a crowded environment.
​Targets Tracking
For snipers, ensuring the accuracy and efficiency of computational models used to predict bullet trajectory is a critical issue. This involves considering various factors such as the distance to the target, wind speed and direction, moving platform, and moving targets. All of these factors play a crucial role in determining the optimal solution that maximizes the likelihood of hitting the target without harming innocent bystanders.
To achieve the best results, we utilize cutting-edge techniques, such as deep learning networks, to build and train highly accurate ballistic models. By incorporating advanced technologies, we can more accurately predict the trajectory of bullets and, in turn, increase the chances of hitting the target while minimizing the risk to surrounding individuals.
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Overall, our advanced approach to ballistic calculations allows us to provide snipers with highly effective tools that help them fulfill their duties with the utmost precision and care.
Cutting-edge
Ballistic Calculation
Controlling robots in dynamic environments is a challenging task. However, with the recent advancements in deep reinforcement learning, we are now able to tackle this issue. Specifically, we have developed a system that focuses on gimbal control with two degrees of freedom (DOF) to address the vibrations and acceleration of real moving firing platforms.
Using a deep reinforcement learning algorithm, we have optimized the shooting accuracy of the gimbal when tracking moving objects. This has greatly improved the overall effectiveness of the system. Furthermore, we have been able to bridge the gap between the high-end gimbal requirements and the limitations of smaller, lighter, and more affordable platforms.
Our cutting-edge approach to robot control in dynamic environments has enabled us to overcome some of the most significant challenges in the field. By leveraging the latest technological advancements in deep reinforcement learning, we can ensure that our systems are highly accurate, efficient, and effective in a range of environments.
State-of-the-art
Gimbal Control
THE TEAM
The technology team behind BlackReaper is an exceptional group of individuals that are sure to impress. With a diverse range of backgrounds and experience, they bring a wealth of expertise to every project they undertake. Our team includes senior software, hardware, mechanical, aeronautics, and system engineers, all of whom are graduates of security organizations in Israel and have significant experience in the military and security industries.
Over the years, our team has been involved in the research and development of cutting-edge aviation systems, precise rocket fire technology, and other highly classified projects. Their experience and expertise in these areas have given them a unique perspective and set of skills that they bring to BlackReaper project.
Our team is always at the forefront of the industry. Their passion for technology and commitment to excellence is what truly sets our team apart. They are dedicated to pushing the boundaries of what's possible and delivering solutions that are effective, efficient, and highly advanced.
Contact
Torre Glòries Avinguda Diagonal, 211, 08018 Barcelona, SPAIN