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  /  Artificial Intelligence   /  AI Predator Drone will Become a Nightmare for Criminals and Maybe for Victims Too
AI

AI Predator Drone will Become a Nightmare for Criminals and Maybe for Victims Too

Wait until a robust defense organization gets its hands on this AI predator drone to put criminals in their place

A team of researchers from Austria recently developed an AI predator drone capable of following moving items through the thick foliage. While detecting and following moving objects through the dense foliage is difficult in regular aerial images or videos, the researchers from Austria present initial lightweight drones operated by a 1D camera array that supports parallel synthetic aperture aerial imaging. These drones, besides people, can target other objects like vehicles and animals that can be detected and followed in a similar way.

 

Introducing the AI Predator Drone

Training an AI to sort out what’s happening in a picture is one of the AI world’s greatest difficulties. But in these drones, the researchers developed a system capable of using a technique called color anomaly detection in real-time to track occluded objects in motion. This could affect numerous application spaces, such as search and rescue, surveillance, border control, and wildlife observation.

This color anomaly detection can significantly expedite this process by identifying unexpected colors likely associated with synthetic clothing or equipment. Their main finding is that color anomaly detection benefits significantly from image integration when compared to conventional raw images or video frames. Furthermore, it tracks down pixels or groups of pixels in a picture with critical variety contrasts in distinction with their neighbors.

With Airborne Optical Sectioning researchers have introduced a wide synthetic aperture imaging technique that employs conventional drones to sample images above the forest. These pictures are computationally combined into integral pictures which suppress strong occlusion and make hidden targets visible. The main advantages of AOS are real-time computational performance with high spatial resolution when deployed for occlusion removal on low-cost system-on-chip computers.

The research team’s lightweight drones operated by a1D camera array supports equal airborne optical segment inspecting and has defeated every difficulty that traditional predator drones usually faced. Looking forward to future exploration, the group could investigate a mix of variety, warm, and time channels for anomaly detection.