Individual protective wearables to counter autonomous unmanned systems' real-time detection

Abstract

[1] Headgear (including hats, caps, balaclavas), a long headscarf (such as a military shemagh or keffiyeh), neckwear (such as a snood or neck warmer) or a poncho with built-in camouflage: Uses a mix of data-bearing elements such as colours, shapes, QR codes, barcodes or optical illusions that create visual noise for machine vision systems. - Uses reflective and absorptive materials to scatter light in unpredictable ways, and absorptive materials to reduce visibility in a variety of lighting conditions. [2] Replaceable or transparent velcro protective patches on headgear, neckwear, shoulders and protective vest. Velcro patch featuring a removable and interchangeable image insert, allowing users to easily customize the patch's appearance. This design enables quick and simple swapping of images without replacing the entire patch, offering versatility for various applications. - Made of fabric or synthetic material. - Attaches to existing uniforms, vests and helmets with Velcro. - The Velcro patch has a transparent pocket in which patterns and images can be placed. The images inside the patch are replaceable and are designed to exploit weaknesses in machine vision algorithms. Due to changes in technology, it is necessary to be able to quickly replace it with a new adversial image.

Description

Background.

[0001] Some of autonomous unmanned systems, in particular unmanned aerial vehicles (UAVs), including FPV drones, make use of real time machine vision systems to identify and engage targets. However, these systems, which operate in real time, make decisions based on data gathered from the environment in which they operate. This means that they can be vulnerable to deliberate deception, which can be used as a stealth element to misclassify the visual content and prevent accurate identification / engagement of human targets.Summary of the Invention

[0002] This invention relates to the use of combination of individual protective elements, such as a combination of a headwear, neckwear and scarfs, velcro fastened patches on the shoulders and on the vest and integrated sections of fabric on combat uniforms like poncho, which are deliberately designed to create an adversarial image and deceive machine vision capabilities into confidently misclassifying the visual content.

[0003] These protective elements are embedded with specific patterns and materials that interfere with machine vision algorithms in real time to misclassify objects and make humans non recognizable to autonomous machine vision systems.

[0004] Machine vision algorithms are constantly being improved, that's why all these wearables could be easily replaced with the new updated adversial images (mix of data-bearing elements such as colours, shapes, QR codes, barcodes or optical illusions) that create visual noise for machine vision systems placed on the velcros, or with the new covers on the headwear, scarfs and ponchos that are able to poison the data of autonomous machine vision systems.Detailed description of the invention

[0005] [1] Headgear (including hats, caps, balaclavas), a long headscarf (such as a military shemagh or keffiyeh), neckwear (such as a snood or neck warmer) or a poncho with built-in camouflage: Uses a mix of data-bearing elements such as colours, shapes, QR codes, barcodes or optical illusions that create visual noise for machine vision systems. Uses reflective and absorptive materials to scatter light in unpredictable ways, and absorptive materials to reduce visibility in a variety of lighting conditions. [2] Replaceable or transparent velcro protective patches on headgear, neckwear, shoulders and protective vest.

[0006] Velcro patch featuring a removable and interchangeable image insert, allowing users to easily customize the patch's appearance. This design enables quick and simple swapping of images without replacing the entire patch, offering versatility for various applications. Made of fabric or synthetic material. Attaches to existing uniforms, vests and helmets with Velcro. The Velcro patch has a transparent pocket in which patterns and images can be placed. The images inside the patch are replaceable and are designed to exploit weaknesses in machine vision algorithms. Due to changes in technology, it is necessary to be able to quickly replace it with a new adversial image.

[0007] For an example see the drawings of invention.Mechanism of action

[0008] The individual protective elements disrupt the UAV's machine vision by: Camouflage patterns: Using shapes and colours that blend into the environment or create optical illusions. Data poisoning: Providing misleading data points that cause machine vision algorithms to misinterpret the presence of a human. Reflection: Causing glare and reflections that obscure the true shape of the target. Absorptivity: Reducing the amount of visible light and infrared radiation that is reflected from the surface, making detection more difficult. Application and use

[0009] The invention is the combination of the use of all three elements - headgear (hats, balaclavas, helmets) in combination with the neckwear, scarf or poncho and with the interchangeable Velcro patches on both shoulders and the combination of several velcro patches on the front and back of the vest.

[0010] The combination of all these elements is the most optimal for using the adversarial data poisoning to the machine vision of flying unmanned aerial systems.

[0011] Integrating the adversarial mix of data-carrying elements such as images, colours, shapes, QR codes, barcodes or optical illusions that create visual noise for imaging systems is done by integration into the built-in camouflage of headgear (including hats, caps, balaclavas), a long headscarf (such as a military shemagh or keffiyeh), neckwear (such as a snood or neck warmer) or a poncho; or Incorporation into the uniform by the addition of interchangeable or transparent velcro protective patches to headgear, neckwear, shoulders and body armor vest.

Examples

Embodiment Construction

[0005] [1] Headgear (including hats, caps, balaclavas), a long headscarf (such as a military shemagh or keffiyeh), neckwear (such as a snood or neck warmer) or a poncho with built-in camouflage: Uses a mix of data-bearing elements such as colours, shapes, QR codes, barcodes or optical illusions that create visual noise for machine vision systems. Uses reflective and absorptive materials to scatter light in unpredictable ways, and absorptive materials to reduce visibility in a variety of lighting conditions. [2] Replaceable or transparent velcro protective patches on headgear, neckwear, shoulders and protective vest.

[0006]Velcro patch featuring a removable and interchangeable image insert, allowing users to easily customize the patch's appearance. This design enables quick and simple swapping of images without replacing the entire patch, offering versatility for various applications.

Made of fabric or synthetic material. Attaches to existing uniforms, vests and helmets with Velcr...

Background.

[0001] Some of autonomous unmanned systems, in particular unmanned aerial vehicles (UAVs), including FPV drones, make use of real time machine vision systems to identify and engage targets. However, these systems, which operate in real time, make decisions based on data gathered from the environment in which they operate. This means that they can be vulnerable to deliberate deception, which can be used as a stealth element to misclassify the visual content and prevent accurate identification / engagement of human targets.Summary of the Invention

[0002] This invention relates to the use of combination of individual protective elements, such as a combination of a headwear, neckwear and scarfs, velcro fastened patches on the shoulders and on the vest and integrated sections of fabric on combat uniforms like poncho, which are deliberately designed to create an adversarial image and deceive machine vision capabilities into confidently misclassifying the visual content.

[0003] These protective elements are embedded with specific patterns and materials that interfere with machine vision algorithms in real time to misclassify objects and make humans non recognizable to autonomous machine vision systems.

[0004] Machine vision algorithms are constantly being improved, that's why all these wearables could be easily replaced with the new updated adversial images (mix of data-bearing elements such as colours, shapes, QR codes, barcodes or optical illusions) that create visual noise for machine vision systems placed on the velcros, or with the new covers on the headwear, scarfs and ponchos that are able to poison the data of autonomous machine vision systems.Detailed description of the invention

[0005] [1] Headgear (including hats, caps, balaclavas), a long headscarf (such as a military shemagh or keffiyeh), neckwear (such as a snood or neck warmer) or a poncho with built-in camouflage: Uses a mix of data-bearing elements such as colours, shapes, QR codes, barcodes or optical illusions that create visual noise for machine vision systems. Uses reflective and absorptive materials to scatter light in unpredictable ways, and absorptive materials to reduce visibility in a variety of lighting conditions. [2] Replaceable or transparent velcro protective patches on headgear, neckwear, shoulders and protective vest.

[0006] Velcro patch featuring a removable and interchangeable image insert, allowing users to easily customize the patch's appearance. This design enables quick and simple swapping of images without replacing the entire patch, offering versatility for various applications. Made of fabric or synthetic material. Attaches to existing uniforms, vests and helmets with Velcro. The Velcro patch has a transparent pocket in which patterns and images can be placed. The images inside the patch are replaceable and are designed to exploit weaknesses in machine vision algorithms. Due to changes in technology, it is necessary to be able to quickly replace it with a new adversial image.

[0007] For an example see the drawings of invention.Mechanism of action

[0008] The individual protective elements disrupt the UAV's machine vision by: Camouflage patterns: Using shapes and colours that blend into the environment or create optical illusions. Data poisoning: Providing misleading data points that cause machine vision algorithms to misinterpret the presence of a human. Reflection: Causing glare and reflections that obscure the true shape of the target. Absorptivity: Reducing the amount of visible light and infrared radiation that is reflected from the surface, making detection more difficult. Application and use

[0009] The invention is the combination of the use of all three elements - headgear (hats, balaclavas, helmets) in combination with the neckwear, scarf or poncho and with the interchangeable Velcro patches on both shoulders and the combination of several velcro patches on the front and back of the vest.

[0010] The combination of all these elements is the most optimal for using the adversarial data poisoning to the machine vision of flying unmanned aerial systems.

[0011] Integrating the adversarial mix of data-carrying elements such as images, colours, shapes, QR codes, barcodes or optical illusions that create visual noise for imaging systems is done by integration into the built-in camouflage of headgear (including hats, caps, balaclavas), a long headscarf (such as a military shemagh or keffiyeh), neckwear (such as a snood or neck warmer) or a poncho; or Incorporation into the uniform by the addition of interchangeable or transparent velcro protective patches to headgear, neckwear, shoulders and body armor vest.

Examples

Embodiment Construction

[0005] [1] Headgear (including hats, caps, balaclavas), a long headscarf (such as a military shemagh or keffiyeh), neckwear (such as a snood or neck warmer) or a poncho with built-in camouflage: Uses a mix of data-bearing elements such as colours, shapes, QR codes, barcodes or optical illusions that create visual noise for machine vision systems. Uses reflective and absorptive materials to scatter light in unpredictable ways, and absorptive materials to reduce visibility in a variety of lighting conditions. [2] Replaceable or transparent velcro protective patches on headgear, neckwear, shoulders and protective vest.

[0006]Velcro patch featuring a removable and interchangeable image insert, allowing users to easily customize the patch's appearance. This design enables quick and simple swapping of images without replacing the entire patch, offering versatility for various applications.

Made of fabric or synthetic material. Attaches to existing uniforms, vests and helmets with Velcr...

Claims

1. A protective element for combat uniforms to counteract machine vision detection by UAVs, comprising: - A velcro attached patch with interchangeable pocket type complex patterns and colours. - Reflective and absorbent materials to interfere with UAV sensors.

2. A method of integrating protective elements into a combat uniform, scarf, or poncho, including: - Woven fabric sections with data poisoning elements. - Strategic placement of reflective and absorbent materials.

3. A system for camouflaging human soldiers from machine vision-equipped UAVs, including: - Detachable patches and integrated fabrics that create visual noise and mislead detection algorithms. This invention provides an innovative approach to protecting people in contested environments from advanced autonomous threats by using adversial images and exploiting the limitations of machine vision technology.

Images