After reading about the FPV fiber optic drones, I thought of a hybrid military drone unit. Ideally, a drone with adequate AI should be able to cross the enemy line, find its target and destroy it. However, such AI chips do not exist for small, economical drones.
My proposition is, initially deploy fiber optic drones with only cameras and sensors to the target location. These would feed real-time data to the control center. Then these data would be processed quickly with AI chips and optimized codes would be installed to the autonomous drones with ammunition on board. These optimized codes would be mission-based guide map to limited processing powered drones. Just by utilizing the onboard cameras and sensors, the drones would find their targets and hit them. For this process to succeed, the time difference between the fiber optic info processed and the attack drone arriving at the location should be low. Even jammers would allow the autonomous drones to find their path.
The system I propose is just an adaption of the automatic terrain recognition and guidance system. Very compact data would be generated for each mission with low latency data from the field. Fiberoptic drones would be used to gather real-time data as stealth drones. Then, autonomous drones would be used to complete the mission based on these data. Within short time frame, any moving vehicle could not have displaced that much. As a result, simple vehicle recognition software would detect the moving target based on the projected location. For stationary targets the auto guidance would be much simpler.

No comments :
Post a Comment