Technology Development Projects

Proximity Linguistics Detection System

This technology pertains to a system that correlates connections between linguistics that may pertain to streams of Signals Intelligence (SIGINT) or Human Intelligence (HUMINT) in the proximity of an agent of an intelligence organization, for the purpose of determining whether the streams of intelligence can be correlated to the surroundings, or whether or not the streams of intelligence would suggest that there is a security breach of internal security, for the purpose of detecting domestic and foreign surveillance systems, and the presence of their agents and agencies in the proximity. The system may include integrations of Media Security and Surveillance Detection systems that work together with Artificial Intelligence systems to determine if the streams of intelligence correlate to a person’s surroundings, so that leaks and foreign actors can be detected in real time. This system may link together with a Heads-Up-Display unit, or similar immersive environment technologies to alert the agent or person that is using the systems.


Real-Time Stitched Modelling of Street-Views Based on Multiple Camera Angles

This technology pertains to the real-time stitching of video feeds from multiple camera angles at the street level to create models of what is occurring based on the artificial intelligence computer vision that analyzes the video feeds to build the models. This can allow the tracking of objects, such as persons or vehicles, in-between multiple camera angles, for the purpose of surveillance or locational services. Would if you needed to find your friend, and they were walking somewhere in New York City? It would be pretty hard without some type of technology. This technology would allow you to find them with facial recognition, and once they’re found, the system would follow them based on where they go. This tracking could be done for every person, and every vehicle, all the time – just based on the computer modelling that pieces together the multiple video feeds from surveillance cameras.

Cause & Effect Analysis and Artificial Intelligence Correction System

This invention pertains to the cause and effect of changes that occur because of AI systems, such as the analysis of brainwaves, or the use of robotics, such that the systems need to be aware of potential changes that could and would occur because of their changes or actions. The system would be able to predict these changes or actions that are subsequent because of the AI system, and correct the alterations to the assets through predictive analysis to overcome challenges and foresee issues that could arise.

Enhanced Automated Robotic Object Detection System

This invention pertains to a system of sensors, including different types of sensors such as lidar, radar, microwave, infrared, and optical cameras / sensor grids that all work together to detect the slightest object in the path of a robotics system or automated driven vehicle, for the purpose of avoiding accidents, while not requiring a person to drive the vehicle. The system would not just work off of Artificial Intelligence to determine driving habits and mimic them while staying in lanes, not running into other cars or hitting pedestrians, and following all speed limits and other laws. The system would also have a sensor grid that would allow it to detect any type of object that is in its path, and determine if it is a threat, and if so, have the ability to alter its behavior to avoid the object if necessary – not just objects that can be seen, but any object that takes up physical space, as detected by the sensor grid. This came to light because of car accidents from existing systems of automated driving vehicles from their operators not taking over the wheel when they are alerted of a danger. In the future, there is a need for vehicles that are completely autonomous – that can take orders from humans such as setting a destination, or pulling over to pick up a friend, or scheduling a detour. Basically the system would need to be able to do anything that the human instructs them to do, or a command system instructs them to do, and the system would need to be able to think like a human when making decisions about doing those tasks that are necessary for the vehicle to mimic the abilities of what it would be like if a human were driving the vehicle.

The same could be applied to airplanes and other moving objects such as drones, for an example for military command systems, where there are networks of devices that take commands from soldiers who are authorized to control them on the battlefield. The same type of analytics system would need to be invented for the military command system – to be able to think like a human. One possibility is to synchronize the Artificial Intelligence system with EEG data, or data that is gathered from brainwaves, if and when it can be decoded. Another option is to use cameras and microphones and other sensors to detect what the humans are doing with the vehicles and robotics systems, before the command system is in place – or in other words the mark 1 systems are gathering intelligence for future AI controlled systems that are based on what past humans have done. Eventually, there will be a need to have mind control over devices, such as EEG or otherwise brain scanning systems that gather thoughts and convey them to Artificial Intelligence systems on the battlefield, or in vehicles or airplanes, so that they can be controlled, through safety systems that don’t allow any illegal actions, but take into consideration useful information that humans provide the system about the navigation or otherwise controlling the robotics systems, as if they have their hands and feet on the physical controls themselves.

Artificial Intelligence Mathematical Formula Developer and Solver

This invention concept pertains to a machine learning system that automatically develops and learns new forms of mathematics, such as around theories like particle physics and quantum mechanics, as well as spatial anomalies and other rare instances. The system would essentially learn all existing forms of math, and then develop it’s own form of mathematical languages, which would yield large amounts of mathematical formulas, that are computer based, that can explain simple to complex problems and systems that are either inputted as pictures, videos, text, or other forms of formatted data that the system can understand and study based on various types of known mathematics like statistics, and then expand on the studies with unique forms of mathematics that the system develops to explain even more granular details of occurrences within the data. The system, ideally, would be based on a quantum computer with at least 150 Q-bits of processing power, as the mathematical details would be limited on computers with less processing power due to the limitations of calculating prime numbers and other types of patterns that can be used to study uniqueness.

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