Flight path of aerial "net-drone."
The Tensky project hopes to attract software engineers who are up to date with current GPU/Machine Learning technology, and who would like to be involved in this project as a career, avocation, or act of public service.
These ideas have been formally reviewed by a small group of respected figures in the Denver area "startup," and "tech" communities and found to have merit.
We are pretty sure that physical, robotic security, authorized to physically arrest criminals is on its way. We are futurists and want to do what we can to make sure this does not involve deadly force, or become barbaric.
This is a very exciting project. We need to attract a person or group of people who can look at this problem and instantly become filled with ideas about how they can make this work.
Clearly stated: This application requires that we find people who believe that they can teach a GPU in an aerial drone, to quickly and decisively spin a net around a school shooter.
These ideas will also help lead to the creation of a new, and important, automated human services industry
that includes human-controlled, non-lethal robotic security that can capture a “bad guy,” without hurting them much.
Can you teach a drone to spin a net around a school shooter?
Drones and nets may not be the answer; but it certainly seems a reasonable place to start.
• Our most recent research into these subjects tells us that the microchips; the “GPUs” exist, that can absolutely lock on to a human target, and using machine learning, navigate an aerial drone to spin a net around that person, automatically and decisively.
• The trick, however, is that very few people currently understand how to do this type of programing.
• The two key design elements are:
This system is video-link controlled by remote human operators.
When engaged, the net-drones are fully automated. If the video link is activated the remote human operators can then make a timely assessment of the emergency situation and then decide to deploy, or not deploy the automated human-capture routine.
We are reaching out to recently graduated engineers or graduate students that have current knowledge of GPU’s, machine learning and hopefully; aerial drones. We are looking for people who have a positive vision about the future, and want to be in control of their destiny.