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Smart laser cutter system detects different materials
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Smart laser cutter system detects different materials
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About The
$1 Unistroke Recognizer is a 2-D single-stroke recognizer designed for rapid prototyping of gesture-based user interfaces. In machine learning terms, $1 is an instance-based nearest-neighbor classifier with a 2-D Euclidean distance function, i.e., a geometric template matcher. $1 is a significant extension of the proportional shape matching approach used in SHARK
2, which itself is an adaptation of Tappert s elastic matching approach with zero look-ahead. Despite its simplicity, $1 requires very few templates to perform well and is only about 100 lines of code, making it easy to deploy. An optional enhancement called Protractor improves $1 s speed. The $N Multistroke Recognizer extends $1 to gestures with multiple strokes.
Meteksan Successfully Completes Delivery of Retinar FAR-AD Drone Detection Radars to Turkish Armed Forces 9 April 2021
Meteksan Defence has formally delivered the Retinar FAR-AD Drone Detection Radars ordered by the Turkish Presidency of Defence Industries within “Mini / Micro UAV Detection Radar System” contract signed in 2019.
Fixed and rotary wing mini / micro drones, or drone systems, have become an important threat to security forces in recent years, especially as they can be easily supplied and used by terrorist organizations. Although various jammer systems have been developed as a countermeasure against drone threats, the drone must still be detected first in order to disable drone systems. Visual detection of drones can be difficult due to the fact that the dimensions of the threat are very small and sometimes seeing it is not possible due to weather conditions. On the other hand, due to the very short visual detection distance of the drones, it is t